SWAT Literature Database for Peer-Reviewed Journal Articles

Citations List by Author

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1. -G. Frede. 2001. Hydrologic response to land use changes on the catchment scale. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere. 26(7-8): 577-582. Doi: 10.1016/S1464-1909(01)00052-1.

2. . Allen. 2005. Estimation of soil cracking and the effect on surface runoff in a Texas Blackland Prairie watershed. Hydrological Processes. 19(3): 589-603. Doi: 10.1002/hyp.5609.

3. Šipek, V. and M. Tesař. 2016. Validation of a mesoscale hydrological model in a small-scale forested catchment. Hydrology Research. 47(1): 27-41. Doi: 10.2166/nh.2015.220.

4. Aamery, N.A., J.F. Fox and M. Snyder. 2016. Evaluation of climate modeling factors impacting the variance of streamflow. Journal of Hydrology. 542: 125–142. Doi: 10.1016/j.jhydrol.2016.08.054.

5. Aashish Shrestha, Suresh Sharma, Colleen E McLean, Bryan A Kelly, Scott C. Martin. 2016. Scenario analysis for assessing the impact of hydraulic fracturing on stream low flows using the SWAT model. Hydrological Sciences Journal. Doi: 10.1080/02626667.2016.1235276.

6. Abbas, N., S.A. Wasimi and N. Al-Ansari. 2016. Assessment of climate change impacts on water resources of Khabour in Kurdistan, Iraq using SWAT model. Journal of Environmental Hydrology. 24(10): 1-21.

7. Abbas, T., G. Nabi, M.W. Boota, F. Hussain, M.I. Azam, H. Jin and M. Faisal. 2016. Uncertainty analysis of runoff and sedimentation in a forested watershed using sequential uncertainty fitting method. Sciences in Cold and Arid Regions. 8(4): 297-310. Doi: 10.3724/SP.J.1226.2016.00297.

8. Abbaspour, K.C., E. Rouholahnejad, S. Vaghefi, R. Srinivasan, H. Yang and B. Kløve. 2015. A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model. Journal of Hydrology. 524: 733–752. Doi: 10.1016/j.jhydrol.2015.03.027.

9. Abbaspour, K.C., J. Yang, I. Maximov, R. Siber, K. Bogner, J. Mieleitner, J. Zobrist, and R. Srinivasan. 2006. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology. 333(2-4): 413-430. Doi: 10.1016/j.jhydrol.2006.09.014.

10. Abbaspour, K.C., M. Faramarzi, S.S. Ghasemi and H. Yang. 2009. Assessing the impact of climate change on water resources in Iran. Water Resources Research. 45: 1-16. Doi: 10.1029/2008WR007615.

11. Abdouramane, G.D., H. Karambiri, O. Seidou, K. Sittichok, J.E. Paturel and H.M. Saley. 2015. Statistical seasonal streamflow forecasting using probabilistic approach over West African Sahel. Natural Hazards. 79(2): 699-722. Doi: 10.1007/s11069-015-1866-8.

12. Abdulla, F. and T. Eshtawi. 2015. Climate change effect on sediment yield at King Talal Dam (Jordan). Civil and Environmental Research. 7(7): 13-26.

13. Abdulla, F.A. and T. Eshtawi. 2007. Application of Automated Geospatial Watershed Assessment (AGWA) tool to evaluate the sediment yield in a semi-arid region: Case study, Kufranja Basin-Jordan. Jordan Journal of Civil Engineering. 1(3): 234-244.

14. Abeysingha, N.S., M. Singh, A. Islam and V.K. Sehgal. 2016. Climate change impacts on irrigated rice and wheat production in Gomti River basin of India: A case study. SpringerPlus. 5 Doi: 10.1186/s40064-016-2905-y.

15. Abeysingha, N.S., M. Singh, V.K. Sehgal, M. Khanna, H. Pathak, P. Jayakody and R. Srinivasan. 2015. Assessment of water yield and evapotranspiration over 1985 to 2010 in the Gomti River basin in India using the SWAT model. Current Science. 108(12): 2202-2212.

16. Abouabdillah, A., M. White, J.G. Arnold, A.M. De Girolamo, O. Oueslati, A. Maataoui and A. Lo Porto. 2014. Evaluation of soil and water conservation measures in a semi-arid river basin in Tunisia using SWAT. Soil Use and Management. 30(4): 539-549. Doi: 10.1111/sum.12146.

17. Abouali, M., A.P. Nejadhashemi, F. Daneshvar and S.A. Woznicki. 2016. Two-phase approach to improve stream health modeling. Ecological Informatics. Doi: 10.1016/j.ecoinf.2016.04.009.

18. Abouali, M., F. Daneshvar and A.P. Nejadhashemi. 2016. MATLAB Hydrological Index Tool (MHIT): A high performance library to calculate 171 ecologically relevant hydrological indices. Ecological Informatics. 33: 17-23. Doi: 10.1016/j.ecoinf.2016.03.004.

19. Abu-Allaban, M., A. El-Naqa, M. Jaber and N. Hammouri. 2014. Water scarcity impact of climate change in semi-arid regions: a case study in Mujib basin, Jordan. Arabian Journal of Geoscience. 8(2): 951-959. Doi: 10.1007/s12517-014-1266-5.

20. Addis, H.K., S. Strohmeier, F. Ziadat, N.D. Melaku and A.Klik. 2016. Modeling streamflow and sediment using SWAT in Ethiopian Highlands. International Journal of Agricultural and Biological Engineering. 9(5): 51-66. Doi: 10.3965/j.ijabe.20160905.2483.

21. Adeba, D., M.L. Kansal and S. Sen. 2015. Assessment of water scarcity and its impacts on sustainable development in Awash Basin, Ethiopia. Sustainable Water Resources Management. 1(1): 71-87. Doi: 10.1007/s40899-015-0006-7.

22. Adeba, D., M.L. Kansal and S. Sen. 2016. Economic evaluation of the proposed alternatives of inter-basin water transfer from the Baro Akobo to Awash basin in Ethiopia. Sustainable Water Resources Management. Doi: 10.1007/s40899-016-0058-3.

23. Adeogun, A.G., B.F. Sule and A.W. Salami. 2015. Simulation of sediment yield at the upstream watershed of Jebba Lake in Nigeria using SWAT Model. Malaysian Journal of Civil Engineering. 27(1): 25-40.

24. Adeogun, A.G., B.F. Sule and A.W. Salami. 2016. Cost effectiveness of sediment management strategies for mitigation of sedimentation at Jebba Hydropower reservoir, Nigeria. Journal of King Saud University - Engineering Sciences. Doi: 10.1016/j.jksues.2016.01.003.

25. Adhikari, U. and P. Nejadhashemi. 2016. Impacts of climate change on water resources in Malawi. Journal of Hydrologic Engineering. 21(11) Doi: 10.1061/(ASCE)HE.1943-5584.0001436.

26. Adjei, K. A., L. Ren, E. K. Appiah-Adjei and S. N. Odai. 2015. Application of satellite-derived rainfall for hydrological modelling in the data-scarce Black Volta trans-boundary basin. Hydrology Research. 46(5): 777-791. Doi: 10.2166/nh.2014.111.

27. Affuso, E. and L.M. Duzy. 2013. The impact of US biofuel policy on agricultural production and nitrogen loads in Alabama. Economics Research International. Article ID 653731: 1-16. Doi: 10.1155/2013/521254.

28. Afinowicz, J.D., C.L. Munster, and B.P. Wilcox. 2005. Modeling effects of brush management on the rangeland water budget: Edwards Plateau, Texas. Journal of the American Water Resources Association. 41(1): 181-193. Doi: 10.1111/j.1752-1688.2005.tb03727.x.

29. Aguirre, H.D.R., E.G. Pérez, J.U. Gil, J.P.M. Dávila and H.O. Laurel. 2013. Potential to produce Jatropha curcas L. as feedstock for biodiesel in the state of Veracruz. Tropical and Subtropical Agroecosystems. 16(3): 325-339.

30. Ahl, R.S., S.W. Woods, and H.R. Zuuring. 2008. Hydrologic calibration and validation of SWAT in a snow-dominated Rocky Mountain watershed, Montana, U.S.A.. Journal of the American Water Resources Association. 44(6): 1411-1430. Doi: 10.1111/j.1752-1688.2008.00233.x.

31. Ahmad, H.M.N., A. Sinclair, R. Jamieson, A. Madani, D. Hebb, P. Havard and E.K. Yiridoe. 2011. Modeling sediment and nitrogen export from a rural watershed in eastern Canada using the Soil and Water Assessment Tool. Journal of Environmental Quality. 40(4): 1182-1194. Doi: 10.2134/jeq2010.0530.

32. Ahmad, Z., A. Ashraf, M. Zaheer and H. Bashir. 2015. Hydrological response to environment change in Himalayan watersheds: Assessment from integrated modeling approach. Journal of Mountain Science. 12(4): 972-982. Doi: 10.1007/s11629-013-2892-1.

33. Ahmad, Z.U., S. Sakib and D.D. Gang. 2016. Nonpoint source pollution. Water Environment Research. 88(10): 1594-1619. Doi: 10.2175/106143016X14696400495497.

34. Ahmadi, M., M. Arabi, D.G. Fontane and B.A. Engel. 2015. Application of multicriteria decision analysis with a priori knowledge to identify optimal nonpoint source pollution control plans. Journal of Water Resources Planning and Management. 141(2): 04014054. Doi: 10.1061/(ASCE)WR.1943-5452.0000455.

35. Ahmadi, M., M. Arabi, D.L. Hoag and B.A. Engel. 2013. A mixed discrete continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices. Water Resources Research. 49(12): 8344-8356. Doi: 10.1002/2013WR013656.

36. Ahmadi, M., M. Arabi, J.C. Ascough II, D.G. Fontane and B.A. Engel. 2014. Toward improved calibration of watershed models: Multisite multiobjective measures of information. Environmental Modelling & Software. 59: 135-145. Doi: 10.1016/j.envsoft.2014.05.012.

37. Ahmadi, M., R. Records and M. Arabi. 2014. Impact of climate change on diffuse pollutant fluxes at the watershed scale. Hydrological Processes. 28(4): 1962-1972. Doi: 10.1002/hyp.9723.

38. Ahmadia, M., J.C. Ascough II, K.C. DeJonge and M. Arabi. 2014. Multisite-multivariable sensitivity analysis of distributed watershedmodels: Enhancing the perceptions from computationally frugal methods. Ecological Modelling. 279: 54-67. Doi: 10.1016/j.ecolmodel.2014.02.013.

39. Ahmadzadeh, H. S. Morid and M. Delavar. 2015. Assessment of SWAT Model For Simultaneous Simulation of Streamflow, Actual Evapotranspiration and Crops’ Yield: A Case Study In Zarineh Rud Basin. Journal of Water and Soil. 28(5): 876-889.

40. Ahmadzadeh, H., S. Morid, M. Delavar and R. Srinivasan. 2015. Using the SWAT model to assess the impacts of changing irrigation from surface to pressurized systems on water productivity and water saving in the Zarrineh Rud catchment. Agricultural Water Management. Doi: 10.1016/j.agwat.2015.10.026.

41. Ahn, J.M., T.H. Im, I.J. Lee and S.U. Cheon. 2014. Assessment of future river environment considering climate change and basin runoff characteristics. Journal of Korea Water Resources Association. 47(3): 269-283. Doi: 10.3741/JKWRA.2014.47.3.269.

42. Ahn, K.-H and V. Merwade. 2017. The effect of land cover change on duration and severity of high and low flows. Hydrological Processes. 31(1): 133–149. Doi: 10.1002/hyp.10981.

43. Ahn, S.-R., J.-Y. Park, J.-W. Lee, M.-S. Lee, H.-J. Shin and S.-J. Kim. 2016. Comparison of SWAT streamflow and water quality in an agricultural watershed using KOMPSAT-2 and landsat land use information. KSCE Journal of Civil Engineering. 20(1): 367-375. Doi: 10.1007/s12205-015-1265-4.

44. Ahn, S.R., C.H. Jang, J.W. Lee and S.J. Kim. 2015. Assessment of climate and land use change impacts on watershed hydrology for an urbanizing watershed. Journal of the Korean Society of Civil Engineers. 35(3): 567-577. Doi: 10.12652/Ksce.2015.35.3.0567.

45. Ahn, S.R., G.A. Park and S.J. Kim. 2013. Assessment of agricultural water supply capacity using MODSIM-DSS coupled with SWAT. Journal of the Korean Society of Civil Engineers. 33(2): 507-519. Doi: 10.12652/Ksce.2013.33.2.507.

46. Ahn, S.R., J.H. Jeong and S.J. Kim. 2015. Assessing drought threats to agricultural water supplies under climate change by combining the SWAT and MODSIM models for the Geum River Basin, South Korea. Hydrological Sciences Journal. Doi: 10.1080/02626667.2015.1112905.

47. Ahn, S.R., R. Ha, S.W. Yoon and S.J. Kim. 2014. Evaluation of future turbidity water and eutrophication in Chungju Lake by climate change using CE-QUAL-W2. Journal of the Korean Water Resources Association. 47(2): 145-150. Doi: 10.3741/JKWRA.2014.47.2.145.

48. Aich, V., S. Liersch, T. Vetter, J.C.M. Anderson, E.N. Müller and F.F. Hattermann. 2015. Climate or land use?—attribution of changes in river flooding in the sahel zone. Water. 7(6): 2796-2820. Doi: 10.3390/w7062796.

49. Aich, V., S. Liersch, T. Vetter, S. Fournet, J.C.M. Andersson, S. Calmanti, F.H.A. van Weert, F.F. Hattermann and E.N. Paton. 2016. Flood projections within the Niger River Basin under future land use and climate change. Science of the Total Environment. 562: 666-677. Doi: 10.1016/j.scitotenv.2016.04.021.

50. Akhavan, S. and A. Jodi Hameze Abad. 2015. Simulation of inflow to Urmia lake using SWAT model. Journal of Science and Technology of Agriculture and Natural Resources. 19(72): 23-34.

51. Akhavana, S., J. Abedi-Koupaia, S.-F. Mousavia, M. Afyunib, S.-S. Eslamiana and K.C. Abbaspour. 2010. Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran. Agriculture Ecosystems and Environment. 139(4): 675-688. Doi: 10.1016/j.agee.2010.10.015.

52. Akhbari, M. and N.S. Grigg. 2014. Water management trade-offs between agriculture and the environment: A multiobjective approach and application. Journal of Irrigation and Drainage Engineering. 140(8): 05014005. Doi: 10.1061/(ASCE)IR.1943-4774.0000737.

53. Akhtar, M.K., G.A. Corzo, S.J. van Andel, and A. Jonoski. 2009. River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin. Hydrology and Earth System Sciences. 13(9): 1607-1618.

54. Akiner, M.E. and A. Akkoyunlu. 2012. Modeling and forecasting river flow rate from the Melen Watershed, Turkey. Journal of Hydrology. 456-457: 121-129. Doi: 10.1016/j.jhydrol.2012.06.031.

55. Akpoti, K., E.O. Antwi and A.T. Kabo-bah. 2016. Impacts of rainfall variability, land use and land cover change on stream flow of the Black Volta basin, West Africa. Hydrology. 3(3) Doi: 10.3390/hydrology3030026.

56. Al-Mukhtar, M.. 2016. Modelling the root zone soil moisture using artificial neural networks, a case study. Environmental Earth Sciences. 75 Doi: 10.1007/s12665-016-5929-2.

57. Al-Mukhtar, M., V. Dunger and B. Merkel. 2014. Assessing the impacts of climate change on hydrology of the upper reach of the Spree River: Germany. Water Resources Management. 28(10): 2731-2749. Doi: 10.1007/s11269-014-0675-2.

58. Alam, S., M.M. Ali and Z. Islam. 2016. Future streamflow of Brahmaputra River Basin under synthetic climate change scenarios. Journal of Hydrologic Engineering. Doi: 10.1061/(ASCE)HE.1943-5584.0001435.

59. Alemaw, D., E.K. Ayana, E.S. Legesse, M.M. Moges, S.A. Tilahun and M.A. Moges. 2016. Estimating reservoir sedimentation using bathymetric differencing and hydrologic modeling in data scarce Koga watershed, Upper Blue Nile, Ethiopia. Journal of Agriculture and Environment for International Development. 110(2): 413-427. Doi: 10.12895/jaeid.20162.519.

60. Alemayehu, D., R. Srinivasan and P. Daggupati. 2014. Application of Soil and Water Assessment Tool model to estimate sediment yield in Kaw Lake. American Journal of Environmental Sciences. 10(6): 533-548. Doi: 10.3844/ajessp.2014.533.548.

61. Alemayehu, T., A. van Griensven and W. Bauwens. 2016. Evaluating CFSR and WATCH data as input to SWAT for the estimation of the potential evapotranspiration in a data-scarce eastern-African catchment. Journal of Hydrologic Engineering. 21(3) Doi: 10.1061/(ASCE)HE.1943-5584.0001305.

62. Ali, I. and M. Bruen. 2014. Improved semi-distributed model for phosphorus losses from Irish catchments. Environmental Technology. 35(19): 2506-2519. Doi: 10.1080/09593330.2014.911360.

63. Ali, I. and M. Bruen. 2016. Methodology and application of the combined SWAT-HSPF Model. Environmental Processes. Doi: 10.1007/s40710-016-0167-x.

64. Ali, S.S., H. Mehmood and Y. Chemin. 2014. BMP implementations in Himalayan context: Can a locally-calibrated SWAT assessment direct efforts?. International Journal of Geoinformatics. 10(2): 53-62.

65. Ali, Y. S. A., A. Crosato, Y. A. Mohamed, S. H. Abdalla and N. G. Wright. 2014. Sediment balances in the Blue Nile River Basin. International Journal of Sediment Research. 29(3): 316-328. Doi: 10.1016/S1001-6279(14)60047-0.

66. Alibuyong, N.R., V.B. Ella, M.R. Reyes, R. Srinivasan, C. Heatwole and T. Dillaha. 2009. Predicting the effects of land use change on runoff and sediment yield in Manupali River subwatersheds using the SWAT model. International Agricultural Engineering Journal. 18(1-2): 15-25.

67. Allen, P.M., J. G. Arnold and W. Skipwith. 2008. Prediction of channel degradation rates in urbanizing watersheds. Hydrological Sciences Journal. 53(5): 1013-1029. Doi: 10.1623/hysj.53.5.1013.

68. Allen, P.M., J.G. Arnold, and E. Jakubowski. 1997. Design and testing of a simple submerged-jet device for field determination of soil erodibility. Environmental & Engineering Geoscience. 3(4): 579-584.

69. Allen, P.M., J.G. Arnold, and E. Jakubowski. 1999. Prediction of stream channel erosion potential. Environmental & Engineering Geoscience. 5(3): 339-351.

70. Allen, P.M., J.G. Arnold, and W. Skipworth. 2002. Erodibility of urban bedrock and alluvial channels, North Texas. Journal of the American Water Resources Association. 38(5): 1477-1492. Doi: 10.1111/j.1752-1688.2002.tb04360.x.

71. Almendinger, J.E., M.S. Murphy and J.S. Ulrich. 2014. Use of SWAT to scale sediment delivery from field to watershed in an agricultural landscape with topographic depressions. Journal of Environmental Quality. 43(1): 9-17. Doi: 10.2135/jeq2011.0340.

72. Altaweel, M. 2008. Investigating agricultural sustainability and strategies in northern Mesopotamia: results produced using a socio-ecological modeling approach. Journal of Archaeological Science. 35: 821-835. Doi: 10.1016/j.jas.2007.06.012.

73. Amadou, A., G.D. Abdouramane, S. Ousmane, S.S. Ibrah and K. Sittichok. 2015. Changes to flow regime on the Niger River at Koulikoro under a changing climate. Hydrological Sciences Journal. 60(10): 1709-1723. Doi: 10.1080/02626667.2014.916407.

74. Amatya, D.M., C.G. Rossi, A. Saleh, Z. Dai, M.A. Youssef, R.G. Williams, D.D. Bosch, G.M. Chescheir, G. Sun, R.W. Skaggs, C.C. Trettin, E.D. Vance, J.E. Nettles and S. Tian. 2013. Review of nitrogen fate models applicable to forest landscapes in the southern U.S.. Transactions of the ASABE. 56(5): 1731-1757. Doi: 10.13031/trans.56.10096.

75. Amatya, D.M., K.R. Douglas-Mankin, T.M. Williams, R.W. Skaggs and J.E. Nettles. 2011. Advances in forest hydrology: Challenges and opportunities. Transactions of the ASABE. 54(6): 2049-2056. Doi: 10.13031/2013.40672.

76. Amatya, D.M., M. Jha, A.E. Edwards, T.M. Williams and D.R. Hitchcock. 2011. SWAT-based streamflow and embayment modeling of karst-affected Chapel Branch watershed, South Carolina. Transactions of the ASABE. 54(4): 1311-1323. Doi: 10.13031/2013.39033.

77. Amatya, D.M., M.K. Jha, T.M. Williams, A.E. Edwards and D.R. Hitchcock. 2013. SWAT model prediction of phosphorus loading in a South Carolina karst watershed with a downstream embayment. Journal of Environmental Protection. 4(7): 75-90. Doi: 10.4236/jep.2013.47A010.

78. Amatya, K.M. and M.K. Jha. 2011. Evaluating the SWAT model for a low-gradient forested watershed in coastal South Carolina. Transactions of the ASABE. 54(6): 2151-2163. Doi: 10.13031/2013.40671.

79. Amin, M.G.M., T.L. Vieth, A.S. Collick, H.D. Karsten and A.R. Buda. 2017. Simulating hydrological and nonpoint source pollution processes in a karst watershed: A variable source area hydrology model evaluation. Agricultural Water Management. 180(Part B): 212–223. Doi: 10.1016/j.agwat.2016.07.011.

80. Amon-Armah, F., E. K. Yiridoe, R. Jamieson and D. Hebb. 2014. Comparison of crop yield and pollution production response to nitrogen fertilization models, accounting for crop rotation effect. Hydrological Sciences Journal. 39(3): 245-275. Doi: 10.1080/21683565.2014.967435.

81. Amon-Armah, F., E.K. Yiridoe, N.H.M. Ahmad, D. Hebb, R. Jamieson, D. Burton and A. Madani. 2013. Effect of nutrient management planning on crop yield, nitrate leaching and sediment loading in Thomas Brook watershed. Environmental Management. 52(5): 1177-1191. Doi: 10.1007/s00267-013-0148-z.

82. An, H. and J.W. Eheart. 2006. Evaluation of programs for regulating withdrawal of surface water under the riparian legal system. Journal of Water Resources Planning and Management. 132(5): 385-394. Doi: 10.1061/(ASCE)0733-9496(2006)132:5(385).

83. An, H. J.W. Eheart and R.D. Braatz. 2004. Stability-oriented programs for regulating water withdrawals in riparian regions. Water Resources Research. 40: 1-12. Doi: 10.1029/2004WR003398.

84. Anand, S., K.R. Mankin, K.A. McVay, K.A. Janssen, P.L. Barnes, and G.M. Pierzynski. 2007. Calibration and validation of ADAPT and SWAT for field-scale runoff prediction. Journal of the American Water Resources Association. 43(4): 899-910. Doi: 10.1111/j.1752-1688.2007.00061.x.

85. Anandan, K.S., S.N. Sahay, and S. Karthikenyan. 2010. Delineation of Recharge Area and Artificial Recharge Studies in the Neyveli Hydrogeological Basin. Mine Water and the Environment. 29(1): 14-22. Doi: 10.1007/s10230-009-0090-8.

86. Ancev, T., A.L. Stoecker, D.E. Storm and M.J. White. 2006. The economics of efficient phosphorus abatement in a watershed. Journal of Agricultural and Resource Economics Association. 31(3): 529-548.

87. Andersson, J.C.M., A.J.B. Zehnder, G.P.W. Jewitt and H.Yang. 2009. Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa. Hydrology and Earth System Sciences. 13(12): 2329-2347.

88. Andersson, J.C.M., A.J.B. Zehnder, J. Rockstrom and H. Yang. 2011. Potential impacts of water harvesting and ecological sanitation on crop yield, evaporation and river flow regimes in the Thukela River basin, South Africa. Agricultural Water Management. 98(7): 1113-1124. Doi: 10.1016/j.agwat.2011.02.004.

89. Andersson, J.C.M., A.J.B. Zehnder, B. Whrli and H. Yang. 2012. Improved SWAT model performance with time-dynamic Voronoi tessellation of climatic input data in Southern Africa. Journal of the American Water Resources Association. 48(3): 480–493. Doi: 10.1111/j.1752-1688.2011.00627.x.

90. Andersson, J.C.M., A.J.B. Zehnder, B. Wehrli, G.P.M. Jewitt, K.C. Abbaspour and H. Yang. 2013. Improving crop yield and water productivity by ecological sanitation and water harvesting in South Africa. Environmental Science & Technology. 47(9): 4341-4348. Doi: 10.1021/es304585p.

91. Andrade, M.A., C.R. de Mello and S. Beskow. 2013. Hydrological simulation in a watershed with predominance of Oxisol in the Upper Grande river region, MG - Brazil. Revista Brasileira de Engenharia Agricola e Ambiental. 17(1): 69-76. Doi: 10.1590/S1415-43662013000100010.

92. Angelidis, P., M. Kotsikas and N. Kotsovinos. 2010. Management of upstream dams and flood protection of the transboundary River Evros/Maritza. Water Resources Management. 24(11): 2467-2484. Doi: 10.1007/s11269-009-9563-6.

93. Anguita, P.M.d., S. Rivera, J.M. Beneitez, F. Cruz, and F.M. Espinal. 2011. A GIS cost-benefit analysis-based methodology to establish a payment for environmental services system in watersheds: Application to the Calan River in Honduras. Journal of Sustainable Forestry. 30: 79-110. Doi: 10.1080/10549811003742225.

94. Anh, N.V., S. Fukuda, K. Hiramatsu and M. Harada. 2015. Sensitivity-based calibration of the Soil and Water Assessment Tool for hydrologic cycle simulation in the Cong watershed, Vietnam. Water Environment Research. 87(8): 735-750. Doi: 10.2175/106143015X14338845156948.

95. Aouissi, J., B. Sihem, L.C. Zohra and C. Christophe. 2014. Modelling water quality to improve agricultural practices and land management in a Tunisian catchment using SWAT. Journal of Environmental Quality. 43(1): 18-25. Doi: 10.2135/jeq2011.0375.

96. Aouissi, J., S. Benabdallah, Z.L. Chabaâne and C. Cudennec. 2016. Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT—Application in data-scarce rural Tunisia. Agricultural Water Management. Doi: 10.1016/j.agwat.2016.03.004.

97. Aparecida Lelis, T. and M.L. Calijuri. 2010. Hydrosedimentological modeling of watershed in southeast Brazil using SWAT. Revista Ambiente e Agua. 5(2): 158-174. Doi: 10.4136/ambi-agua.145.

98. Arabi, M., J.R. Frankenberger, B.A. Engel, and J.G. Arnold.. 2008. Representation of agricultural conservation practices with SWAT.. Hydrological Processes. 22(16): 3042-3055. Doi: 10.1002/hyp.6890.

99. Arabi, M., R. S. Govindaraju, B. Engel, and M. Hantush. 2007. Multiobjective sensitivity analysis of sediment and nitrogen processes with a watershed model.. Water Resources Research. 43: 1-11. Doi: 10.1029/2006WR005463.

100. Arabi, M., R.S. Govindaraju, and M.M. Hantush. 2006. Cost-effective allocation of watershed management practices using a genetic algorithm. Water Resources Research. 42(10): W10429. Doi: 10.1029/2006WR004931.

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886. Heuvelmans, G., B. Muys, and J. Feyen. 2004. Analysis of the spatial variation in the parameters of the SWAT model with application in Flanders, Northern Belgium. Hydrology and Earth System Sciences. 8(5): 931-939.

887. Heuvelmans, G., B. Muys, and J. Feyen. 2004. Evaluation of hydrological model parameter transferability for simulating the impact of land use on catchment hydrology. Physics and Chemistry of the Earth. 29(11-12): 739-747. Doi: 10.1016/j.pce.2004.05.002.

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893. Holvoet, K., A. van Griensven, P. Seuntjens, and P.A. Vanrolleghem. 2005. Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT. Physics and Chemistry of the Earth. 30(8-10): 518-526. Doi: 10.1016/j.pce.2005.07.006.

894. Holvoet, K., A. van Griensven, V. Gevaert, P. Seuntjens, and P.A. Vanrolleghem. 2008. Modifications to the SWAT code for modelling direct pesticide losses. Environmental Modelling & Software. 23(1): 72-81. Doi: 10.1016/j.envsoft.2007.05.002.

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897. Homdee, T., K. Pongput, and S. Kanae. 2011. Impacts of land cover changes on hydrologic responses: A case study of Chi River Basin, Thailand. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering). 55: S31-S36.

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899. Hong, W.Y., M.J. Park, J.Y. Park, G.A. Park and S.J. Kim. 2010. The spatial and temporal correlation analysis between MODIS NDVI and SWAT predicted soil moisture during forest NDVI increasing and decreasing periods. KSCE Journal of Civil Engineering. 14(6): 931-939. Doi: 10.1007/s12205-010-0851-8.

900. Hoque, Y.M., C. Raj, M.M. Hantush, I. Chaubey and R.S. Govindaraju. 2014. How do land-use and climate change affect watershed health? A scenario-based analysis. Water Quality, Exposure, and Health. 6(1-2): 19-33. Doi: 10.1007/s12403-013-0102-6.

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905. Hormann, G., N. Koplin, Q. Cai and N. Fohrer. 2009. Using a simple model as a tool to parameterise the SWAT model of the Xiangxi river in China. Quaternary International. 208(1-2): 116-120. Doi: 10.1016/j.quaint.2008.11.007.

906. Horn, A.L., F.J. Rueda, G. Hörmann, and N. Fohrer. 2004. Implementing river water quality modelling issues in mesoscale watershed models for water policy demands—an overview on current concepts, deficits, and future tasks. Physics and Chemistry of the Earth. 29(11-12): 725-737. Doi: 10.1016/j.pce.2004.05.001.

907. Horn, A.L., G. Hörmann, and N. Fohrer. 2005. Application of a virtual watershed in academic education. Advances in Geosciences. 5: 137-141.

908. Hosseini, M., A.M. Ghafouri, M.S.M. Amin, M.R. Tabatabaei, M. Goodarzi, and A.A. Kolahchi. 2012. Effects of land use changes on water balance in Taleghan Catchment, Iran. Journal of Agricultural Science and Technology. 14: 1159-1172.

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911. Hosseini, M., M.S.M. Amin, A.M. Ghafouri and M.R. Tabatabaei. 2011. Application of Soil and Water Assessment Tools Model for runoff estimation. American Journal of Applied Sciences. 8(5): 486-494. Doi: 10.3844/ajassp.2011.486.494.

912. Hotchkiss, R.H., S.F. Jorgensen, M.C. Stone, and T.A. Fontaine. 2000. Regulated river modeling for climate change impact assessment: The Missouri River. Journal of the American Water Resources Association. 36(2): 375-386. Doi: 10.1111/j.1752-1688.2000.tb04275.x.

913. Houser, J.B., L.M. Hauck and A. Saleh. 2015. Modifying and validating the SWAT model to determine landuse effects on watershed water quality: Using a dual level of model performance based on subbasin size. International Journal of Environmental Research. 9(3): 885-896.

914. Housh, M., M.A. Yaeger, X. Cai, G. McIsaac, M. Khanna, M. Sivapalan, Y. Ouyang, I. Al-Qadi and A. Jain. 2015. Managing multiple mandates: A system of systems model to analyze strategies for producing cellulosic ethanol and reducing riverine nitrate loads in the Upper Mississippi River Basin. Environmental Science & Technology. 49(19): 11932–11940. Doi: 10.1021/acs.est.5b02712.

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917. Hu, T.A., S.T. Cheng, H.F. Jia, H.X. Zhang, B. Tan, and J. Zhao. 2003. Non-point sources of a small watershed in Upper Yuan River: experimental design and primary data analysis. Journal of Agro-Environment Science. 22(4): 442-445.

918. Hu, X., G.F. McIsaac, M.B. David, and C.A.L. Louwers. 2007. Modeling riverine nitrate export from an east-central Illinois watershed using SWAT. Journal of Environmental Quality. 36: 996-1005. Doi: 10.2134/jeq2006.0228.

919. Hu, Y., J.P. Moiwo, Y. Yang, S. Han and Y. Yang. 2010. Agricultural water-saving and sustainable groundwater management in Shijiazhuang Irrigatiion District, North China Plain. Journal of Hydrology. 393(3-4, 8): 219-232. Doi: 10.1016/j.jhydrol.2010.08.017.

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921. Huang, F. and B. Li. 2010. Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach Part I: Method development and validation. Agricultural Water Management. 97(7): 1077-1092. Doi: 10.1016/j.agwat.2010.02.016.

922. Huang, F. and B.G. Li. 2010. Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach. Part II: Application in breadbasket basins of China. Agricultural Water Management. 97(9): 1259-1268. Doi: 10.1016/j.agwat.2010.02.017.

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924. Huang, H., W. Ouyang, B. Guo, Y. Shi and F. Hao. 2014. Vertical and horizontal distribution of soil parameters in intensive agricultural zone and effect on diffuse nitrogen pollution. Soil & Tillage Research. 144: 32-40. Doi: 10.1016/j.still.2014.07.006.

925. Huang, H., W. Ouyang, H. Wu, H. Liu and C. Andrea. 2017. Long-term diffuse phosphorus pollution dynamics under the combined influence of land use and soil property variations. Science of the Total Environment. 579: 1894–1903. Doi: 10.1016/j.scitotenv.2016.11.198.

926. Huang, J., B.G. Ridoutt, H. Zhang, C. Xu and F. Chen. 2014. Water footprint of cereals and vegetables for the Beijing market. Journal of Industrial Ecology. 18(1): 40-48. Doi: 10.1111/jiec.12037.

927. Huang, J., P. Zhou, Z. Zhou and Y. Huang. 2013. Assessing the influence of land use and land cover datasets with different points in time and levels of detail on watershed modeling in the North River watershed, China. International Journal of Environmental Research and Public Health. 10: 144-157. Doi: 10.3390/ijerph10010144.

928. Huang, J.J., X. Lin, J. Wang and H. Wang. 2015. The precipitation driven correlation based mapping method (PCM) for identifying the critical source areas of non-point source pollution. Journal of Hydrology. 524: 100–110. Doi: 10.1016/j.jhydrol.2015.02.011.

929. Huang, Q. and W. Zhang. 2004. Improvement and application of GIS-based distributed SWAT hydrological modeling on high altitude, cold, semi-arid catchment of Heihe river basin, China. Journal of Nanjing Forestry University (Natural Sciences Edition). 28(2): 22-26.

930. Huang, S., C. Hesse, V. Drysanova and F. Hattermann. 2009. From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios. Ecological Modelling. 220(19): 2543-2558. Doi: 10.1016/j.ecolmodel.2009.06.043.

931. Huang, S., V. Krysanova and F.F. Hattermann. 2014. Does bias correction increase reliability of flood projections under climate change? A case study of large rivers in Germany. International Journal of Climatology. 34(14): 3780-3800. Doi: 10.1002/joc.3945.

932. Huang, S., V. Krysanova and F.Hattermann. 2015. Projections of climate change impacts on floods and droughts in Germany using an ensemble of climate change scenarios. Regional Environmental Change. 15(3): 461-473. Doi: 10.1007/s10113-014-0606-z.

933. Huang, S., V. Krysanova, H. Osterle and F.F. Hattermann. 2010. Simulation of spatiotemporal dynamics of water fluxes in Germany under climate change. Hydrological Processes. 24(23): 3289-3306. Doi: 10.1002/hyp.7753.

934. Huang, T. C. C. and K. F. A. Lo. 2015. Effects of land use change on sediment and water yields in Yang Ming Shan National Park, Taiwan. Environments. 2(1): 32-42. Doi: 10.3390/environments2010032.

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936. Huang, Z., B. Xue, and Y. Pang. 2009. Simulation on stream flow and nutrient loadings in Gucheng Lake, Low Yangtze River Basin, based on SWAT model. Quaternary International. 208(1-2): 109-115. Doi: 10.1016/j.quaint.2008.12.018.

937. Huisman, J.A., L. Breuer, and H.G. Frede. 2004. Sensitivity of simulated hydrological fluxes towards changes in soil properties in response to land use change. Physics and Chemistry of the Earth. 29(11-12): 749-758. Doi: 10.1016/j.pce.2004.05.012.

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939. Hulsmann, L., T. Geyer, C. Schweitzer, J. Priess and D. Karthe. 2015. The effect of subarctic conditions on water resources: initial results and limitations of the SWAT model applied to the Kharaa River Basin in Northern Mongolia. Environmental Earth Sciences. 73(2): 581-592. Doi: 10.1007/s12665-014-3173-1.

940. Hung, T.H., L.H. Giang and N.D. Binh. 2011. Application of SWAT Model to evaluate forest land area change impact on flow regime in Upper Ma River Basin, Vietnam. Journal of Science and Development. 9(3): 384-392.

941. Hunink, J.E., I.A. Niadas, P. Antonaropoulos, P. Droogers and J. de Vente. 2013. Targeting of intervention areas to reduce reservoir sedimentation in the Tana catchment (Kenya) using SWAT. Hydrological Sciences Journal. 58(3): 600-614. Doi: 10.1080/02626667.2013.774090.

942. Hunink, J.E., P. Droogers, S. Kauffman, B.M. Mwaniki and J. Bouma. 2012. Quantitative simulation tools to analyze up- and downstream interactions of soil and water conservation measures: Supporting policy making in the Green Water Credits program of Kenya. Journal of Environmental Management. 111: 187-194. Doi: 10.1016/j.jenvman.2012.07.022.

943. Hunt, W.F., N. Kannan, J. Jeong and P.W. Gassman. 2009. Stormwater best management practices: review of current practices and potential incorporation in SWAT. International Agricultural Engineering Journal. 18(1-2): 73-89.

944. Huo, A. and H. Li. 2013. Assessment of climate change impact on the stream-flow in a typical debris flow watershed of Jianzhuangcuan catchment in Shaanxi Province, China. Environmental Earth Sciences. 69(6): 1931-1938. Doi: 10.1007/s12665-012-2025-0.

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946. Hutchins, M.G., C. Dilks, H.N. Davies, and A. Deflandre. 2008. Issues of diffuse pollution model complexity arising from performance benchmarking. Hydrology and Earth System Sciences. 11(1): 647-662.

947. Hwang, C.S., C.U. Choi and J.S. Choi. 2014. Impact of IPCC RCP scenarios on streamflow and sediment in the Hoeya River Basin. Journal of the Korean Society for Geospatial Information System. 22(3): 11-19. Doi: 10.7319/kogsis.2014.22.3.011.

948. Ide, J.H. Somura, T. Nakamura, Y. Mori, I. Takeda and K. Nishida. 2014. Hydrological effects on relationships between &15N of river nitrate and land use in a rural river basin, western Japan. River Research and Applications. 31(5): 639-649. Doi: 10.1002/rra.2756.

949. Iensen, I.R.R., G.B. Schultz and I. dos Santos. 2015. Simulation of green and blue water impacts caused by climate changes in the Apucaraninha River watershed, southern Brazil. Revista Brasileira de Geografia Fisica. 8(1): 179-186.

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951. Im, S., K.M. Brannan, S. Mostaghimt and S.M. Kim. 2007. Comparison of HSPF and SWAT models performance for runoff and sediment yield prediction. Journal of Environmental Science and Health, Part A - Toxic/Hazardous Substances and Environmental Engineering. 42(11): 1561-1570. Doi: 10.1080/10934520701513456.

952. Im, S.-J., K.M. Brannan, S. Mostaghimi and J.P. Cho. 2003. Predicting Runoff and Sediment Yield on a Forest Dominated Watershed using HSPF and SWAT Models. Journal of Korean Society of Rural Planning. 9(4): 59-64.

953. Immerzeel, W. W. and P. Droogers. 2008. Calibration of a distributed hydrological model based on satellite evapotranspiration. Journal of Hydrology. 349(3-4): 411-424. Doi: 10.1016/j.jhydrol.2007.11.017.

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956. Inamdar, S. and A. Naumov. 2006. Assessment of sediment yields for a mixed-landuse Great Lakes watershed: Lessons from field measurements and modeling. Journal of Great Lakes Research. 32: 471-488. Doi: 10.3394/0380-1330(2006)32%5B471:AOSYFA%5D2.0.CO;2.

957. Infante Corona, J.A., T. Lakhankar, S. Pradhanang and R. Khanbilvardi. 2014. Remote Sensing and Ground-Based Weather Forcing Data Analysis for Streamflow Simulation. Hydrology. 1(1): 89-111. Doi: 10.3390/hydrology1010089.

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961. J.S. Kim and C.U. Choi. 2013. Impact of changes in climate and land use/land cover change under climate change scenario on streamflow in the basin. Journal of the Korean Society for Geospatial Information System. 21(2): 107-116. Doi: 10.7319/kogsis.2013.21.2.107.

962. Jadhao, V. G. and M. P. Tripathi. 2009. Evaluation of the SWAT model for predicting the daily surface runoff and sediment yield from a small watershed. International Journal of Agricultural Engineering. 2(1): 39-45.

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964. Jadhao, V.G., D.T. Bornare and M.P. Tripathi. 2009. Identification and prioritization of critical sub-watersheds using SWAT Model. International Journal of Agricultural Engineering. 2(1): 113-123.

965. Jaeger, K.L., J.D. Olden and N.A. Pelland. 2014. Climate change poised to threaten hydrologic connectivity and endemic fishes in dryland streams. Proceedings of the National Academy of Sciences. 111(38): 13894-13899. Doi: 10.1073/pnas.1320890111.

966. Jager, H.I., L.M. Baskaran, P.E. Schweizer, A.F. Turhollow, C.C. Brandt and R. Srinivasan. 2014. Forecasting changes in water quality in rivers associated with growing biofuels in the Arkansas-White-Red river drainage, USA. Global Change Biology. 7(4): 774-784. Doi: 10.1111/gcbb.12169.

967. Jahnig, S.C., M. Kuemmerlen, J. Kiesel, S. Domisch, Q. Cai, B. Schmalz and N. Fohrer. 2012. Modelling of riverine ecosystems by integrating models: Conceptual approach, a case study and research agenda. Journal of Biogeography. 39: 2253-2263. Doi: 10.1111/jbi.12009.

968. Jain, S., S. Ale, C.L. Munster, R.J. Ansley and J.R. Kiniry. 2015. Simulating the hydrologic impact of Arundo donax invasion on the headwaters of the Nueces River in Texas. Hydrology. 2: 134-147. Doi: 10.3390/hydrology2030134.

969. Jain, S.K., J. Tyagi and V. Singh. 2010. Simulation of runoff and sediment yield for a Himalayan watershed using SWAT model. Journal of Water Resource and Protection. 2(3): 267-281. Doi: 10.4236/jwarp.2010.23031.

970. Jain, V.K., R.P. Pandey and M.K. Jain. 2015. Spatio-temporal assessment of vulnerability to drought. Natural Hazards. 76(1): 443-469. Doi: 10.1007/s11069-014-1502-z.

971. Jajarmizadeh, M., E.K. Lafdani, S. Harun and A. Ahmadi. 2014. Application of SVM and SWAT models for monthly streamflow prediction, a case study in south of Iran. KSCE Journal of Civil Engineering. 19(1): 345-357. Doi: 10.1007/s12205-014-0060-y.

972. Jajarmizadeh, M., M.S. Lariyah, M. Mirzai, S. Alaghmand, H. Sobri and R.M. Mohammad. 2016. Prediction of surface flow by forcing of Climate Forecast System Reanalysis data. Water Resources Management. 30(8): 2627-2640. Doi: 10.1007/s11269-016-1303-0.

973. Jajarmizadeh, M., S. bin Harun, S. Shahid, S. Akib and M. Salarpour. 2014. Impact of direct soil moisture and revised soil moisture index methods on hydrologic predictions in an arid climate. Advances in Meteorology. Article ID 156172: 1-8. Doi: 10.1155/2014/156172.

974. Jajarmizadeh, M., S. Harun, R. Abdulah, M. Salarpour. 2016. An evaluation of blue water prediction in southern part of Iran using SWAT. Environmental Engineering and Management Journal. 15(1): 175-188.

975. Jakrawatana, N., P. Ngammuangtueng and S.H. Gheewala. 2017. Linking substance flow analysis and Soil and Water Assessment Tool for nutrient management. Journal of Cleaner Production. 142(Part 3): 1158–1168. Doi: 10.1016/j.jclepro.2016.07.185.

976. Jamieson, R., R. Gordon, D. Joy and H. Lee. 2004. Assessing microbial pollution of rural surface waters: A review of current watershed scale modeling approaches. Agricultural Water Management. 70: 1-17. Doi: 10.1016/j.agwat.2004.05.006.

977. Jamshidi, M., M. Tajrishy and M. Maghrebi. 2010. Modeling of point and non-point source polllution of nitrate with SWAT in the Jajrood river watershed, Iran. International Agricultural Engineering Journal. 19(2): 23-31.

978. Jang, J.H., K.W. Jung and C.G. Yoon. 2012. Modification of SWAT model for simulation of organic matter in Korean watersheds. Water Science and Technology. 66(11): 2355-2362. Doi: 10.2166/wst.2012.465.

979. Jang, S.S., S.R. Ahn and S.J. Kim. 2017. Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT. Agricultural Water Management. 180(Part B): 224-234. Doi: 10.1016/j.agwat.2016.06.008.

980. Jang, T., G. Vellidis, J.B. Hyman, E. Brooks, L.A. Kurkalova, J. Boll and J. Cho. 2013. Model for prioritizing best management practice implementation: Sediment load reduction. Environmental Management. 51(1): 209-224. Doi: 10.1007/s00267-012-9977-4.

981. Jang, W.S., Y. Park, J. Kim, N. Kim, J. Choi, Y.S. Ok, J.E. Yang and K.J. Lim. 2010. Development of the SWAT DWDM for accurate estimation of soil erosion from an agricultural field. Journal of the Korean Society of Agricultural Engineers. 52(1): 79-88.

982. Javaheri, A. and M. Babbar-Sebens. 2014. On comparison of peak flow reductions, flood inundation maps, and velocity maps in evaluating effects of restored wetlands on channel flooding. Ecological Engineering. 73: 132-145. Doi: 10.1016/j.ecoleng.2014.09.021.

983. Jayakody, J., P.B. Parajuli, G.F. Sassenrath and Y. Ouyang. 2014. Relationships between water table and model simulated ET. Groundwater. 52(2): 303–310. Doi: 10.1111/gwat.12053.

984. Jayakody, P., P. Parajuli and J. Brooks. 2014. Evaluating spatial and temporal variability of fecal coliform bacteria loads at the Pelahatchie Watershed in Mississippi. Human and Ecological Risk Assessment. 20(4): 1023-1041. Doi: 10.1080/10807039.2013.784155.

985. Jayakody, P., P.B. Parajuli and J.P. Brooks. 2014. Assessing climate variablility impact on thermotolerant coliform bacteria in surface water. Human and Ecological Risk Assessment. 21(3): 691-706. Doi: 10.1080/10807039.2014.909188.

986. Jayakody, P., P.B. Parajuli and T.P. Cathcart. 2014. Impacts of climate variability on water quality with best management practices in sub-tropical climate of USA. Hydrological Processes. 28(23): 5776-5790. Doi: 10.1002/hyp.10088.

987. Jayakrishnan, R., R. Srinivasan, C. Santhi, and J.G. Arnold. 2005. Advances in the application of the SWAT model for water resources management. Hydrological Processes. 19(3): 749-762. Doi: 10.1002/hyp.5624.

988. Jeong, C., K. Joo, W. Lee, H. Shin and J.-H. Heo. 2014. Estimation of optimal grid size for radar reflectivity using a SWAT model. Journal of Hydro-environment Research. 8(1): 20-31. Doi: 10.1016/j.jher.2013.05.005.

989. Jeong, H. and J. Adamowski. 2016. A system dynamics based socio-hydrological model for agricultural wastewater reuse at the watershed scale. Agricultural Water Management. 171: 89-107. Doi: 10.1016/j.agwat.2016.03.019.

990. Jeong, H., H. Kim, T. Jang and S. Park. 2015. Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model. Agricultural Water Management. Doi: 10.1016/j.agwat.2015.08.018.

991. Jeong, H.G., S.J. Kim and R. Ha. 2013. Assessment of climate change impact on storage behavior of Chungju and the regulation dams using SWAT model. Journal of the Korean Water Resources Association. 46(12): 1235-1247. Doi: 10.3741/JKWRA.2013.46.12.1235.

992. Jeong, J., C. Santhi, J.G. Arnold, R. Srinivasan, S. Pradhan and K. Flynn. 2011. Development of algorithms for modeling onsite wastewater systems within SWAT. Transactions of the ASABE. 54(5): 1693-1704. Doi: 10.13031/2013.39849.

993. Jeong, J., N. Kannan and J.G. Arnold. 2014. Effects of urbanization and climate change on stream health in the North Central Texas, USA. Journal of Environmental Quality. 43(1): 100-109. Doi: 10.2134/jeq2011.0345.

994. Jeong, J., N. Kannan, J. Arnold, R. Glick, L. Gosselink, and R. Srinivasan. 2010. Development and integration of sub-hourly rainfall–runoff modeling capability within a watershed model. Water Resources Management. 24(15): 4505-4527. Doi: 10.1007/s11269-010-9670-4.

995. Jeong, J., N. Kannan, J.G. Arnold, R. Glick, L. Gossellink, R. Srinivasan and R.D. Harmel. 2011. Development of sub-daily erosion and sediment transport algorithms for SWAT. Transactions of the ASABE. 54(5): 1685-1691. Doi: 10.13031/2013.39841.

996. Jeong, J., N. Kannan, J.G. Arnold, R. Glick, L. Gosselink, R. Srinivasan and M.E. Barrett. 2013. Modeling sedimentation-filtration basins for urban watersheds in SWAT. Journal of Environmental Engineering. 139(6): 838-848. Doi: 10.1061/(ASCE)EE.1943-7870.0000691.

997. Jeong, S.M., H.D. Seo, H.S. Kim and K.H. Han. 2008. Sensitivity assessment on Daecheong Dam Basin streamflows according to the change of climate components. Journal of the Korean Water Resources Association. 41(11): 1095-1106. Doi: 10.3741/JKWRA.2008.41.11.1095.

998. Jha, M. and P. Gassman. 2014. Changes in hydrology and streamflow as predicted by a modelling experiment forced with climate models. Hydrological Processes. 28(5): 2772–2781. Doi: 10.1002/hyp.9836.

999. Jha, M., J.G. Arnold, P.W. Gassman, F. Giorgi, and R.R. Gu. 2006. Climate change sensitivity assessment on Upper Mississippi River Basin streamflows using SWAT. Journal of the American Water Resources Association. 42(4): 997-1016. Doi: 10.1111/j.1752-1688.2006.tb04510.x.

1000. Jha, M., K.E. Schilling, P.W. Gassman and C.F. Wolter. 2010. Targeting land-use change for nitrate-nitrogen load reductions in an agricultural watershed. Journal of Soil and Water Conservation. 65(6): 342-352. Doi: 10.2489/jswc.65.6.342.

1001. Jha, M., P.W. Gassman, and J.G. Arnold. 2007. Water Quality Modeling for the Raccoon River Watershed using SWAT. Transactions of the ASABE. 50(2): 479-493. Doi: 10.13031/2013.22660.

1002. Jha, M., P.W. Gassman, S. Secchi, R. Gu, and J. Arnold. 2004. Effect of watershed subdivision on SWAT flow, sediment, and nutrient predictions. Journal of the American Water Resources Association. 40(3): 811-825. Doi: 10.1111/j.1752-1688.2004.tb04460.x.

1003. Jha, M., S. Rabotyagov and P.W. Gassman. 2009. Optimal placement of conservation practices using genetic algorithm with SWAT. International Agricultural Engineering Journal. 18(1-2): 41-50.

1004. Jha, M., Z. Pan, E.S. Takle, and R. Gu. 2004. Impacts of climate change on streamflow in the Upper Mississippi River Basin: a regional climate model perspective. Journal of Geophysical Research. 109: D09105. Doi: 10.1029/2003JD003686.

1005. Jha, M.K.. 2011. Evaluating hydrologic response of an agricultural watershed for watershed analysis. Water. 3(2): 604-617. Doi: 10.3390/w3020604.

1006. Jha, M.K., C.F. Wolter, K.E. Schilling and P.W. Gassman. 2010. Assessment of total maximum daily load implementation strategies for nitrate impairment of the Raccoon River, Iowa. Journal of Environmental Quality. 39: 1317-1327. Doi: 10.2134/jeq2009.0392.

1007. Jha, M.K., P.W. Gassman and Y. Panagopoulos. 2015. Regional changes in nitrate loadings in the Upper Mississippi River Basin under predicted mid-century climate. Regional Environmental Change. 15(3): 449-460. Doi: 10.1007/s10113-013-0539-y.

1008. Ji, U., T.-G. Kim, E.-J. Lee, K.-S. Ryoo, M.-H. Hwang and E.K. Jang. 2014. Analysis of sediment discharge by long-term runoff in Nakdong River watershed using SWAT model. Journal of Environmental Science International. 23(4): 723-735. Doi: 10.5322/JESI.2014.4.723.

1009. Jiang, J., S. Li, J. Hu and J. Huang. 2014. A modeling approach to evaluating the impacts of policy-induced land management practices on non-point source pollution: A case study of the Liuxi River watershed, China. Agricultural Water Management. 131: 1-16. Doi: 10.1016/j.agwat.2013.09.005.

1010. Jiang, R., C. Wang, R. Hatano, K. Kuramochi, A. Hayakawa and K.P. Woli. 2015. Factors controlling the long-term temporal and spatial patterns of nitrate-nitrogen export in a dairy farming watershed. Environmental Monitoring and Assessment. 187: 1-16. Doi: 10.1007/s10661-015-4394-9.

1011. Jiang, R., C. Y. Wang, R. Hatano, A. Hayakawa, K.P. Woli and K. Kuramochi. 2014. Simulation of stream nitrate-nitrogen export using the Soil and Water Assessment Tool model in a dairy farming watershed with an external water source. Journal of Soil and Water Conservation. 69(1): 75-85. Doi: 10.2489/jswc.69.1.75.

1012. Jiang, R., Y. Li, Q. Wang, K. Kuramochi, A. Hayakawa, K.P. Woli and R. Hatano. 2011. Modeling the water balance processes for understanding the components of river discharge in a non-conservative watershed. Transactions of the ASABE. 54(6): 2171-2180. Doi: 10.13031/2013.40656.

1013. Jiang, Z., Y. Ding, C. Zheng and W. Chen. 2011. An improved, downscaled, fine model for simulation of daily weather states. Advances in Atmospheric Sciences. 28(6): 1357-1366. Doi: 10.1007/s00376-011-0086-8.

1014. Jiao, F., B.Q. Qin, and W.Y. Huang. 2003. Management of water environment in small watershed with Hufu town of Yixing city as example. China Environmental Science. 23(2): 220-224.

1015. Jie, Z., L. Guang-yong, H. Zhen-zhong and M. Guo-xia. 2010. Hydrological cycle simulation of an irrigation district based on SWAT model. Mathematical and Computer Modelling. 51(11-12): 1312-1318. Doi: 10.1016/j.mcm.2009.10.036.

1016. Jin, H., Q. Zhu, X. Zhao and Y. Zhang. 2016. Simulation and prediction of climate variability and assessment of the response of water resources in a typical watershed in China. Water. 8(11) Doi: 10.3390/w8110490.

1017. Jin, X. and V. Sridhar. 2011. Impacts of climate change on hydrology and water resources in the Boise and Spokane River basins. Journal of the American Water Resources Association. 48(2): 197-220. Doi: 10.1111/j.1752-1688.2011.00605.x.

1018. Jin, X., L. Zhang, J. Gu, C. Zhao, J. Tian and C. He. 2015. Modeling the impacts of spatial heterogeneity in soil hydraulic properties on hydrological process in the upper reach of the Heihe River in the Qilian Mountains, northwest China. Hydrological Processes. 29(15): 3318–3327. Doi: 10.1002/hyp.10437.

1019. Jin, Z., Q. Zhuang, Z. Tan, J.S. Dukes, D. Zheng and J.M. Melillo. 2016. Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches. Global Change Biology. Doi: 10.1111/gcb.13376.

1020. Jisun, C., P. Soyoung, Y. Yeon, Y. Hong-Joo, C. Chuluong and K. Jinsoo. 2013. Impacts of climate change under IPCC RCP scenarios on streamflow and water quality in the Youngsan Basin, South Korea. Disaster Advances. 6(12): 134-141.

1021. Joh, H.-K., J.-W. Lee, M.-J. Park, H.-J. Shin, J.-E. Yi, G.-S. Kim, R. Srinivasan and S.-J. Kim. 2011. Assessing climate change impact on hydrological components of a small forest watershed through SWAT calibration of evapotranspiration and soil moisture. Transactions of the ASABE. 54(5): 1773-1781. Doi: 10.13031/2013.39844.

1022. Johnson, K.A., B.J. Dalzell, M. Donahue, J. Gourevitch, D.L. Johnson, G.S. Karlovits, B. Keeler and J.T. Smith. 2016. Conservation Reserve Program (CRP) lands provide ecosystem service benefits that exceed land rental payment costs. Ecosystem Services. 18: 175-185. Doi: 10.1016/j.ecoser.2016.03.004.

1023. Johnson, M.-V.V., J.D. MacDonald, J.R. Kiniry and J. Arnold. 2009. ALMANAC: a potential tool for simulating agroforestry yields and improving SWAT simulations of agroforestry watersheds. International Agricultural Engineering Journal. 18(1-2): 51-58.

1024. Johnson, T., J. Butcher, D. Deb, M. Faizullabhoy, P. Hummel, J. Kittle, S. McGinnis, L.O. Mearns, D. Nover, A. Parker, S. Sarkar, R. Srinivasan, P. Tuppad, M. Warren, C. Weaver, and J. Witt. 2015. Modelling streamflow and water quality sensitivity to climate change and urban development in 20 U.S. watersheds. Journal of the American Water Resources Association. 51(5): 1321-1341. Doi: 10.1111/1752-1688.12308.

1025. Johnson, T.E., J.B. Butcher, A. Parker and C.P. Weaver. 2012. Investigating the sensitivity of U.S. streamflow and water quality to climate change: U.S. EPA Global Change Research Program’s 20 watersheds project. Journal of Water Resources Planning and Management. 138(5): 453-464. Doi: 10.1061/(ASCE)WR.1943-5452.0000175.

1026. Johnston, J.M., D.J. McGarvey, M. C. Barber, G. Laniak, J. Babendreier, R. Parmar, K. Wolfe, S.R. Kraemer, M. Cyterski, C. Knightes, B. Rashleigh, L. Suarez and R. Ambrose. 2011. An integrated modeling framework for performing environmental assessments: Application to ecosystem services in the Albemarle-Pamlico basins (NC and VA, USA). Ecological Modelling. 222(14): 2471-2484. Doi: 10.1016/j.ecolmodel.2011.03.036.

1027. Jones, C., M. Sultan, E. Yan, A. Milewski, M. Hussein, A. Al-Dousari, S. Al-Kaisy, and R. Becker. 2008. Hydrologic impacts of engineering projects on the Tigris-Euphrates system and its marshlands. Journal of Hydrology. 353(1-2): 59-75. Doi: 10.1016/j.jhydrol.2008.01.029.

1028. Jordan, Y.C., A. Ghulam and S. Hartling. 2014. Traits of surface water pollution under climate and land use changes: a remote sensing and hydrological modeling approach. Earth Science Reviews. 128: 181–195. Doi: 10.1016/j.earscirev.2013.11.005.

1029. Joseph, J.F. and J.H.A. Guillaume. 2013. Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT. Environmental Modelling & Software. 46: 292–298. Doi: 10.1016/j.envsoft.2013.03.012.

1030. Joseph, J.F., H.O. Sarif, J.G. Arnold and D.D. Bosch. 2013. The impact of asynchronicity on event-flow estimation in basin-scale hydrologic model calibration. Journal of the American Water Resources Association. 49(2): 300–318. Doi: 10.1111/jawr.12011.

1031. Jujnovsky, J., T.M. Gonzalez-Martinez, E.A. Cantoral-Uriza and L. Almeida-Lenero. 2012. Assessment of water supply as an ecosystem service in a rural-urban watershed in southwestern Mexico City. Environmental Management. 49(3): 690-702. Doi: 10.1007/s00267-011-9804-3.

1032. Julich, S., L. Breuer and H.-G. Frede. 2012. Integrating heterogeneous landscape characteristics into watershed scale modelling. Advances in Geosciences. 31: 31-38. Doi: 10.5194/adgeo-31-31-2012.

1033. Junaidi, E.. 2013. The role of agroforestry implementation to water yield in Cisadane watershed. Jurnal Penelitian Agroforestry. 1(1): 41-53.

1034. Jung, C.-G., J.-Y. Park, S.-J. Kim and G.-A. Park. 2014. The SRI (system of rice intensification) water management evaluation by SWAPP (SWAT–APEX Program) modeling in an agricultural watershed of South Korea. Paddy and Water Environment. 12(1): 251-261. Doi: 10.1007/s10333-013-0367-1.

1035. Jung, C.G., D.R. Lee and J.W. Moon. 2016. Comparison of the Penman Monteith and regional calibration of Hargreaves equation for actual evapotranspiration using SWAT-stimulated results in Seolma-Cheon watershed. Hydrological Sciences Journal. 61(4): 793-800. Doi: 10.1080/02626667.2014.943231.

1036. Jung, C.G., J.W. Moon, C.H. Jang and D.R. Lee. 2013. Assessment of climate change impacts on hydrology and snowmelt by applying RCP scenarios using SWAT Model for Hanriver Watersheds. Journal of the Korean Society of Agricultural Engineers. 55(5): 37-48. Doi: 10.5389/KSAE.2013.55.5.037.

1037. Jung, C.G., S.R. Ahn, S.J. Kim, H.J. Yang, H.J. Lee and G.A. Park. 2013. HSPF and SWAT modelling for identifying runoff reduction effect of nonpoint source pollution by rice straw mulching on upland crops. Journal of the Korean Society of Agricultural Engineers. 55(2): 47-57. Doi: 10.5389/KSAE.2013.55.2.047.

1038. Jung, C.M., M.-J. Shin and Y.-O. Kim. 2015. A comparison study of runoff projections for Yongdam dam watershed using SWAT. Journal of Korea Water Resources Association. 48(6): 439-449. Doi: 10.3741/JKWRA.2015.48.6.439.

1039. Jung, I.W., B.J. Lee, T.H. Jun and D.H. Bae. 2008. Hydrological model response to climate change impact assessments on water resources. Journal of the Korean Water Resources Association. 41(9): 907-917. Doi: 10.3741/JKWRA.2008.41.9.907.

1040. Jung, I.W., D.H. Bae and B.J. Lee. 2013. Possible change in Korean streamflow seasonality based on multi-model climate projections. Hydrological Processes. 27(7): 1033–1045. Doi: 10.1002/hyp.9215.

1041. Jung, W.Y., S.K. Yang and J.H. Lee. 2013. Characteristics of runoff urban watershed in Jeju Island, Korea. Journal of Environmental Science International. 22(5): 555-562. Doi: 10.5322/JESI.2013.22.5.555.

1042. Jung, Y., J. Moon, S.O. Lee and Y.S. Park. 2014. Assessment of the effects of urbanization on the watershed streamflow. Journal of the Korean Society of Agricultural Engineers. 56(1): 51-59. Doi: 10.5389/KSAE.2014.56.1.051.

1043. Jung, Y., K. J. Lim and H. Kim. 2014. Estimation of baseflow considering recession characteristics of hydrograph. Journal of Wetlands Research. 16(2): 161-171.

1044. K. Armağan, B.N. Egoh, D. Lanzanova, B. Grizzetti, G. Bidoglio, L. Pagliero, F. Bouraoui, A. Aloe, A. Reynaud, J. Maes, I. Vandecasteele and S. Mubareka. 2016. Mapping water provisioning services to support the ecosystem–water–food–energy nexus in the Danube river basin. Ecosystem Services. 17: 278-292. Doi: 10.1016/j.ecoser.2015.08.002.

1045. Kai-Yuan, K.. 2014. Application of an integrated surface water-groundwater model to multi-aquifers modeling in Choushui River alluvial fan, Taiwan. Hydrological Processes. 28(3): 1409-1421. Doi: 10.1002/hyp.9678.

1046. Kaini, P., K. Artita and J.W. Nicklow. 2012. Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals. Water Resources Management. 26(7): 1827-1845. Doi: 10.1007/s11269-012-9989-0.

1047. Kalcic, M.K., C. Kirchhoff, N. Bosch, R.L. Muenich, M. Murray, J.G. Gardner and D. Scavia. 2016. Engaging stakeholders to define feasible and desirable agricultural conservation in western Lake Erie watersheds. Environmental Science & Technology. 50(15): 8135-8145. Doi: 10.1021/acs.est.6b01420.

1048. Kalcic, M.M., I. Chaubey and J. Frankenberger. 2015. Defining Soil and Water Assessment Tool (SWAT) hydrologic response units (HRUs) by field boundaries. International Journal of Agricultural and Biological Engineering. 8(1): 42-49. Doi: 10.3965/j.ijabe.20150803.951.

1049. Kalcic, M.M., J. Frankenberger, I. Chaubey, L. Prokopy and L. Bowling. 2015. Adaptive targeting: Engaging farmers to improve targeting and adoption of agricultural conservation practices. Journal of the American Water Resources Association. 51(4): 973-991. Doi: 10.1111/1752-1688.12336.

1050. Kalcic, M.M., J. Frankenberger and I. Chaubey. 2015. Spatial optimization of six conservation practices using SWAT in tile-drained agricultural watershed. Journal of the American Water Resources Association. 51(4): 956–972. Doi: 10.1111/1752-1688.12338.

1051. Kalin, L. and M.H. Hantush. 2006. Hydrologic modeling of an eastern Pennsylvania watershed with NEXRAD and rain gauge data. Journal of Hydrologic Engineering. 11(6): 555-569. Doi: 10.1061/(ASCE)1084-0699(2006)11:6(555).

1052. Kalogeropoulos, K. and C. Chalkias. 2013. Modelling the impacts of climate change on surface runoff in small Mediterranean catchments: Empirical evidence from Greece. Water and Environment Journal. 27(4): 505–513. Doi: 10.1111/j.1747-6593.2012.00369.x.

1053. Kamble, A.K., M.P. Tripathi, S.N. Pawar, and B.P. Sawant. 2005. Estimation of surface runoff from micro watershed using Soil and Water Assessment Tool (SWAT) model. Indian Journal of Dryland Agricultural Research and Development. 20(1): 46-56.

1054. Kamble, A.M., M.P. Tripathi, and P.K. Shrivastava. 2003. Estimation of sediment yield from a micro watershed using SWAT model. Indian Journal of Soil Conservation. 31(1): 1-9.

1055. Kang, B., Y. Hun Ku and Y. Do Kim. 2015. A case study for ANN-based rainfall–runoff model considering antecedent soil moisture conditions in Imha Dam watershed, Korea. Environmental Earth Sciences. 74(2): 1261-1272. Doi: 10.1007/s12665-015-4117-0.

1056. Kang, B., Y.D. Kim, J.M. Lee and S.J. Kim. 2015. Hydro-environmental runoff projection under GCM Scenario downscaled by artificial neural network in the Namgang Dam watershed, Korea. KSCE Journal of Civil Engineering. 19(2): 434-445. Doi: 10.1007/s12205-015-0580-0.

1057. Kang, H.. 2014. Eco-river restoration and river management in response to climate change. Journal of the Korean Society of Civil Engineers. 34(1): 155-165. Doi: 10.12652/Ksce.2014.34.1.0155.

1058. Kang, J.Y., J.M. Kim, Y.D. Kim and B.S. Kang. 2013. Effect of climate change on water quality in Seonakdong River experimental catchment. Journal of Korean Society of Water and Wastewater. 27(2): 197-206. Doi: 10.11001/jksww.2013.27.2.197.

1059. Kang, J.Y., Y.D. Kim and B.S. Kang. 2013. Effect of change in hydrological environment by climate change on river water quality in Nam River Watershed. Journal of the Korean Water Resources Association. 46(8): 873-884. Doi: 10.3741/JKWRA.2013.46.8.873.

1060. Kang, K. and J.H. Lee. 2014. Hydrologic modelling of the effect of snowmelt and temperature on a mountainous watershed. Journal of Earth System Science. 123(4): 705-713. Doi: 10.1007/s12040-014-0423-2.

1061. Kang, M.-S., P. Srivastava, J.-H. Song, J. Park, Y. Her, S.M. Kim and I. Song. 2016. Development of a component-based modeling framework for agricultural water-resource management. Water. 8(8) Doi: 10.3390/w8080351.

1062. Kang, M.S., S.K. Yang, W.Y. Jung and D.S. Kim. 2013. Characteristics of runoff on southern area of Jeju Island, Korea. Journal of Environmental Science International. 22(5): 591-597. Doi: 10.5322/JESI.2013.22.5.591.

1063. Kang, M.S., S.W. Park, J.J. Lee, and K.H. Yoo. 2006. Applying SWAT for TMDL programs to a small watershed containing rice paddy fields. Agricultural Water Management. 79(1): 72-92. Doi: 10.1016/j.agwat.2005.02.015.

1064. Kankam-Yeboah, K., E. Obuobie, B. Amisigo and Y. Opoku- Ankomah. 2013. Impact of climate change on streamflow in selected river basins in Ghana. Hydrological Sciences Journal. 58(4): 773-788. Doi: 10.1080/02626667.2013.782101.

1065. Kannan, N., C. Santhi and J.G. Arnold. 2008. Development of an automated procedure for estimation of the spatial variation of runoff in large river basins. Journal of Hydrology. 359(1-2): 1-15. Doi: 10.1016/j.jhydrol.2008.06.001.

1066. Kannan, N., C. Santhi, J. R. Williams, and J. G. Arnold.. 2008. Development of a continuous soil moisture accounting procedure for curve number methodology and its behavior with different evapotranspiration method.. Hydrological Processes. 22(13): 2114-2121. Doi: 10.1002/hyp.6811.

1067. Kannan, N., J. Jeong and R. Srinivasan. 2011. Hydrologic modeling of a canal-irrigated agricultural watershed with irrigation best management practices: Case study. Journal of Hydrologic Engineering. 16(9): 746-757. Doi: 10.1061/(ASCE)HE.1943-5584.0000364.

1068. Kannan, N., J. Jeong, J. Arnold, L. Gosselink, R. Glick and R. Srinivasan. 2014. Hydrologic modeling of retention irrigation sysem. Journal of Hydrologic Engineering. 19(5): 1036-1041. Doi: 10.1061/(ASCE)HE.1943-5584.0000867.

1069. Kannan, N., S.M. White, and M.J. Whelan. 2007. Predicting diffuse-source transfers of surfactants to surface waters using SWAT. Chemosphere. 66(7): 1336-1345. Doi: 10.1016/j.chemosphere.2006.07.005.

1070. Kannan, N., S.M. White, F. Worrall, and M.J. Whelan. 2006. Pesticide modeling for a small catchment using SWAT-2000. Journal of Environmental Science and Health Part B-Pesticides food contaminants and agricultural wastes. 41(7): 1049-1070. Doi: 10.1080/03601230600850804.

1071. Kannan, N., S.M. White, F. Worrall, and M.J. Whelan. 2007. Hydrological modelling of a small catchment using SWAT-2000—Ensuring correct flow partitioning for contaminant modelling. Journal of Hydrology. 334(1-2): 64-72. Doi: 10.1016/j.jhydrol.2006.09.030.

1072. Kannan, N., S.M. White, F. Worrall, and M.J. Whelan. 2007. Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modeling in SWAT-2000. Journal of Hydrology. 332(3-4): 456-466. Doi: 10.1016/j.jhydrol.2006.08.001.

1073. Kanter, D.R., M. Musumba, S.L.R. Wood, C. Palm, J. Antle, P. Balvanera, V.H. Dale, P. Havlik, K.L. Kline, R.J. Scholes, P. Thornton, P. Tittonell and S. Andelman. 2016. Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems. Doi: 10.1016/j.agsy.2016.09.010.

1074. Karamouz, M., M. Taheriyoun, A. Baghvand, H. Tavakolifar and F. Emami. 2010. Optimization of watershed control strategies for reservoir eutrophication management. Journal of Irrigation and Drainage Engineering. 136(12): 847-877. Doi: 10.1061/(ASCE)IR.1943-4774.0000261.

1075. Karamouz, M., M. Taheriyoun, M. Seyedabadi and S. Nazif. 2015. Uncertainty based analysis of the impact of watershed phosphorus load on reservoir phosphorus concentration. Journal of Hydrology. 521: 533-542. Doi: 10.1016/j.jhydrol.2014.12.028.

1076. Karcher, S.C., J.M. VanBriesen and C.T. Nietch. 2013. Alternative land-use method for spatially informed watershed management decision-making using SWAT. Journal of Environmental Engineering. 139(12): 1413–1423. Doi: 10.1061/(ASCE)EE.1943-7870.0000770.

1077. Karlen, D.L.. 2008. A new paradigm for natural resouces research: The Conservation Effects Assessment Project. Journal of Soil and Water Conservation. 63(6): 220A. Doi: 10.2489/jswc.63.6.220A.

1078. Karlsson, I.B., T.O. Sonnenborg, J.C. Refsgaard, D. Trolle, C.D. Borgesen, J.E. Olesen, E. Jeppesen and K.H. Jensen. 2016. Combined effects of climate models, hydrological model structures and land use scenarios on hydrological impacts of climate change. Journal of Hydrology. 535: 301–317. Doi: 10.1016/j.jhydrol.2016.01.069.

1079. Kartiwa, N.D.B.. 2013. Landuse change analysis in relation to hydrological characteristic of Krueng Aceh Watershed. Jurnal Tanah Dan Iklim. 31: 81-98.

1080. Kato, E. and Y. Yamagata. 2014. BECCS capability of dedicated bioenergy crops under a future land-use scenario targeting net negative carbon emissions. Earth's Future. 2(9): 421-439. Doi: 10.1002/2014EF000249.

1081. Kato, T. H. Somura, H. Kuroda and H. Nakasone. 2011. Simulation of nutrients from an agricultural watershed in Japan using the SWAT model. International Agricultural Engineering Journal. 20(3): 40-49.

1082. Kauffeldt, A., F. Wetterhall, F. Pappenberger, P. Salamon and J. Thielen. 2016. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. Environmental Modelling & Software. 75: 68-76. Doi: 10.1016/j.envsoft.2015.09.009.

1083. Kauffman, S., P. Droogers, J. Hunink, B. Mwaniki, F. Muchena, P. Gicheru, P. Bindraban, D. Onduru, R. Cleveringa and J. Bouma. 2014. Green Water Credits – exploring its potential to enhance ecosystem services by reducing soil erosion in the Upper Tana Basin, Kenya. International Journal of Biodiversity Science, Ecosystem Services & Management. 10(2): 133-143. Doi: 10.1080/21513732.2014.890670.

1084. Kaur, R., O. Singh, R. Srinivasan, S.N. Das, and K. Mishra. 2004. Comparison of a subjective and a physical approach for identification of priority areas for soil and water management in a watershed – a case study of Nagwan watershed in Hazaribagh District of Jharkhand, India. Environmental Modeling & Assessment. 9(2): 115-127. Doi: 10.1023/B:ENMO.0000032094.92482.6f.

1085. Kaur, R., R. Srivastava, R. Betne, K. Mishra, and D. Dutta. 2004. Integration of linear programming and a watershed-scale hydrologic model for proposing an optimized land-use plan and assessing its impact on soil conservation—A case study of the Nagwan watershed in the Hazaribagh district of Jharkhand, India. International Journal of Geographical Information Science. 18(1): 73-98. Doi: 10.1080/13658810310001620915.

1086. Kautza, A., S. Mazeika and P. Sullivan. 2012. Using a process-based catchment-scale model for enhancing field-based stream assessments and predicting stream fish assemblages. Aquatic Conservation: Marine and Freshwater Ecosystems. 22(4): 511–525. Doi: 10.1002/aqc.2252.

1087. Kehew, A.E., A. Milewski and F. Soliman. 2010. Reconstructing an extreme flood from boulder transport and rainfall-runoff modelling. Global and Planetary Change. 70(1-4): 64-75. Doi: 10.1016/j.gloplacha.2009.11.008.

1088. Keitzer, S.C., S.A. Ludsin, S.P. Sowa, G. Annis, J.G. Arnold, P. Daggupati, A.M. Froehlich, M.E. Herbert, M.-V.V. Johnson, A.M. Sasson, H. Yen, M.J. White and C.A. Rewa. 2016. Thinking outside of the lake: Can controls on nutrient inputs into Lake Erie benefit stream conservation in its watershed?. Journal of Great Lakes Research. Doi: 10.1016/j.jglr.2016.05.012.

1089. Kelkar, U., K.K. Narula, V.P. Sharma, U. Chandna. 2008. Vulnerability and adaptation to climate variability and water stress in Uttarakhand State, India. Global Environmental Change. 18(4): 564-574. Doi: 10.1016/j.gloenvcha.2008.09.003.

1090. Kemanian, A.R., S. Julich, V.S. Manoranjan and J.R. Arnold. 2011. Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing. Ecological Modelling. 222(12): 1913-1921. Doi: 10.1016/j.ecolmodel.2011.03.017.

1091. Keplinger, K.. 2003. The economics of Total Maximum Daily Loads. Natural Resources Journal. 43(4): 1057-1091.

1092. Keplinger, K.O., J. Abraham, L.M. Hauck and A. Saleh. 2005. Economic and environmental assessment of proactive phosphorus control measures for broiler operations. Environmental Practice. 7(2): 74-86. Doi: 10.1017/S1466046605050118.

1093. Kerr, J.M., J.V. DePinto, D. McGrath, S.P. Sowa, S.M. Swinton. 2016. Sustainable management of Great Lakes watersheds dominated by agricultural land use. Journal of Great Lakes Research. Doi: 10.1016/j.jglr.2016.10.001.

1094. Keshta, N., A. Elshorbagy and S. Carey. 2009. A generic system dynamics model for simulating and evalutating the hydrological performance of reconstructed watersheds. Hydrology and Earth System Sciences. 13: 865-881.

1095. Khanal, S. and P.B. Parajuli. 2013. Evaluating the impacts of forest clear cutting on water and sediment yields using SWAT in Mississippi. Journal of Water Resource and Protection. 5(4): 474-483. Doi: 10.4236/jwarp.2013.54047.

1096. Kharchaf, Y., H. Rhinane, A. Kaoukaya and A. Fadil. 2013. The contribution of the geospatial information to the hydrological modelling of a watershed with reservoirs: Case of Low Oum Er Rbiaa basin (Morocco). Journal of Geographic Information System. 5(3): 258-268. Doi: 10.4236/jgis.2013.53025.

1097. Kharel, G. and A. Kirilenko. 2015. Considering climate change in the estimation of long-term flood risks of Devils Lake in North Dakota. Journal of the American Water Resources Association. 51(5): 1221-1234. Doi: 10.1111/1752-1688.12300.

1098. Kharel, G., H. Zheng and A. Kirilenko. 2016. Can land-use change mitigate long-term flood risks in the Prairie Pothole Region? The case of Devils Lake, North Dakota, USA. Regional Environmental Change. Doi: 10.1007/s10113-016-0970-y.

1099. Kheereemangkla, Y., R.P. Shrestha, S. Shrestha and D. Jourdain. 2016. Modeling hydrologic responses to land management scenarios for the Chi River Sub-basin Part II, Northeast Thailand. Environmental Earth Sciences. Doi: 10.1007/s12665-016-5512-x.

1100. Khelifa, W.B., T. Hermassi, S. Strohmeier, C. Zucca, F. Ziadat, M. Boufaroua and H. Habaieb. 2016. Parameterization of the effect of bench terraces on runoff and sediment yield by SWAT modelling in a small semi-arid watershed in northern Tunisia. Land Degradation & Development. Doi: 10.1002/ldr.2685.

1101. Khoi, D.N and T. Suetsugi. 2014. The responses of hydrological processes and sediment yield to land-use and climate change in the Be River Catchment, Vietnam. Hydrological Processes. 28(3): 640–652. Doi: 10.1002/hyp.9620.

1102. Khôi, D.N.. 2013. ĐÁNH GIÁ TÁC ĐỘNG CỦA BIẾN ĐỔI KHÍ HẬU LÊN SỰ THAY ĐỔI DÒNG CHẢY Ở LƯU VỰC SÔNG SRÊPÔK. Vietnam Journal of Earth Sciences . 35(3): 281-288.

1103. Khoi, D.N. and T. Suetsugi. 2012. Hydrologic response to climate change: a case study for the Be River Catchment, Vietnam. Journal of Water and Climate Change. 3(3): 207-229. Doi: 10.2166/wcc.2012.035.

1104. Khoi, D.N. and T. Suetsugi. 2012. Uncertainty in climate change impacts on streamflow in Be River Catchment, Vietnam. Water and Environment Journal. 26(4): 530–539. Doi: 10.1111/j.1747-6593.2012.00314.x.

1105. Khoi, D.N. and T. Suetsugi. 2014. Impact of climate and land-use changes on the hydrological processes and sediment yield – A case study for the Be River Catchment, Vietnam. Hydrological Sciences Journal. 59 (5): 1–14. Doi: 10.1080/02626667.2013.819433.

1106. Khoi, D.N. and T. Suetsugi. 2015. Assessment of climate change impacts on hydrology and sediment yield in the Be river catchment, Vietnam. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering). 69(4): I-31 - I-36.

1107. Khoi, D.N. and V.T. Thom. 2015. Parameter uncertainty analysis for simulating streamflow in a river catchment of Vietnam. Global Ecology and Conservation. 4: 538-548. Doi: 10.1016/j.gecco.2015.10.007.

1108. Ki, S.J., D.J. Jeon and J.H. Kim. 2016. Influence of spatial resolution of radar images on the parameterization and performance of SWAT model. Desalination and Water Treatment. Doi: 10.1080/19443994.2016.1184496.

1109. Ki, S.J., T. Sugimura and A.S. Kim. 2014. OpenMP-accelerated SWAT simulation using Intel C and FORTRAN compilers: development and benchmark. Computers & Geosciences. 75: 66–72. Doi: 10.1016/j.cageo.2014.10.017.

1110. Kiesel, J., B. Schmalz, G.L. Brown and N. Fohrer. 2013. Application of a hydrological-hydraulic modelling cascade in lowlands for investigating water and sediment fluxes in catchment, channel and reach. Journal of Hydrology and Hydromechanics. 61(4): 334-336. Doi: 10.2478/johh-2013-0042.

1111. Kiesel, J., N. Fohrer, B. Schmalz and M. J. White. 2010. Incorporating landscape depressions and tile drainages of a northern German lowland catchment into a semi-distributed model. Hydrological Processes. 24(11): 1472–1486. Doi: 10.1002/hyp.7607.

1112. Kim N.-W., A.-H. Shin and C.-G. Kim. 2009. Comparison of SWAT-K and HSPF for hydrological components modeling in the Chungju Dam Watershed. Journal of Environmental Sciences. 18(6): 609-619.

1113. Kim T.J.. 2015. Generation of daily naturalized flow at ungaged control points. Journal of Water Supply Research and Technology. 64(3): 354-364. Doi: 10.2166/aqua.2015.096.

1114. Kim, C.G., S.W. Park and N.W. Kim. 2011. Analyzing hydrological transport characteristics of nonpoint source pollutants using SWAT. Applied Engineering in Agriculture. 27(6): 905-915. Doi: 10.13031/2013.40630.

1115. Kim, D.-S., A. Kumar, R. Parab, and M. Palmer. 2004. Simulation of atrazine discharge in the Auglaize watershed using satellite-generated images. Bulletin of Environmental Contamination and Toxicology. 73(2): 319-325. Doi: 10.1007/s00128-004-0430-0.

1116. Kim, H. and P.B. Parajuli. 2012. Economic analysis using SWAT-simulated potential switchgrass and miscanthus yields in the Yazoo River Basin. Transactions of the ASABE. 55(6): 2123-2134. Doi: 10.13031/2013.42504.

1117. Kim, H. and P.B. Parajuli. 2014. Impacts of reservoir outflow estimation methods in SWAT Model calibration. Transactions of the ASABE. 57(4): 1029-1042. Doi: 10.13031/trans.57.10156.

1118. Kim, H., P.B. Parajuli and S.D. Filip. 2013. Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi. Agricultural and Forest Meteorology. 169: 61-73. Doi: 10.1016/j.agrformet.2012.10.007.

1119. Kim, H.W., M.H. Li, J.H. Kim and F. Jaber. 2016. Examining the impact of suburbanization on surface runoff using the SWAT. International Journal of Environmental Research. 10(3): 379-390.

1120. Kim, J. and S. Park. 2015. Potential effects of urban growth under urban containment policy on streamflow in the Gyungan river watershed, Korea. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 33(3): 163-172. Doi: 10.7848/ksgpc.2015.33.3.163.

1121. Kim, J., J. Choi, C. Choi and S. Park. 2013. Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on streamflow in the Hoeya River Basin, Korea. Science of the Total Environment. 452-453: 181-195. Doi: 10.1016/j.scitotenv.2013.02.005.

1122. Kim, J., J. Noh, K. Son and I. Kim. 2012. Impacts of GIS data quality on determination of runoff and suspended sediments in the Imha watershed in Korea. Geosciences Journal. 16(2): 181-192. Doi: 10.1007/s12303-012-0013-8.

1123. Kim, J.-G., Y. Park, D. Yoo, N.-W. Kim, B.A. Engel, S. Kim, K.-S. Kim and K.J. Lim. 2009. Development of a SWAT patch for better estimation of sediment yield in steep sloping watersheds. Journal of the American Water Resources Association. 45(4): 963-972. Doi: 10.1111/j.1752-1688.2009.00339.x.

1124. Kim, J.-W. and Y.A. Pachepsky. 2010. Reconstructing missing daily precipitation data using regression trees and artificial neural networks for SWAT streamflow simulation. Journal of Hydrology. 394(3-4): 305-314. Doi: 10.1016/j.jhydrol.2010.09.005.

1125. Kim, J.-W., Y.A. Pachepsky, D.R. Shelton, and C. Coppock. 2010. Effect of strambed bacteria release on E. coli concentrations: Monitoring and modeling with the modified SWAT. Ecological Modelling. 221(12): 1592-1604. Doi: 10.1016/j.ecolmodel.2010.03.005.

1126. Kim, K.U., J.H. Song, J. Ahn, J. Park, S.M. Jun, I. Song and M.S. Kang. 2014. Evaluation of the Tank Model optimized parameter for watershed modeling. Journal of the Korean Society of Agricultural Engineers. 56(4): 9-19. Doi: 10.5389/KSAE.2014.56.4.009.

1127. Kim, M., L. Boithias, K.H. Cho, N. Silvera, C. Thammahacksa, K. Latsachack, E. Rochelle-Newall, O. Sengtaheuanghoung, A. Pierret, Y.A. Pachepsky and O. Ribolzi. 2017. Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment. Water Research. 119: 102-113. Doi: 10.1016/j.watres.2017.04.038.

1128. Kim, M., S. Baek, M. Ligaray, J. Pyo, M. Park and K.H. Cho. 2015. Comparative studies of different imputation methods for recovering streamflow observation. Water. 7(12): 6847-6860. Doi: 10.3390/w7126663.

1129. Kim, N. W., A.H. Shin, J. Lee. 2010. Effects of streamflow routing chemes on water quality with SWAT. Transactions of the ASABE. 53(5): 1457-1468. Doi: 10.13031/2013.34912.

1130. Kim, N. W., I.M. Chung, Y.S. Won and J. G. Arnold. 2008. Development and application of the integrated SWAT-MODFLOW MODEL. Journal of Hydrology. 356(1-2): 1-16. Doi: 10.1016/j.jhydrol.2008.02.024.

1131. Kim, N.-W., H. Na and I.-M. Chung. 2014. Delay time estimation of recharge in the Hancheon watershed, Jeju Island. Journal of Environmental Science International. 23(4): 605-613. Doi: 10.5322/JESI.2014.4.605.

1132. Kim, N.W. and A.H. Shin. 2011. Modification of the channel BOD simulation scheme in SWAT for Korean TMDL application. Transactions of the ASABE. 54(5): 1739-1747. Doi: 10.13031/2013.39839.

1133. Kim, N.W. and E.L. Jeong. 2013. Assessment of actual evapotranspiration in the Hancheon Watershed, Jeju Island. Journal of Environmental Science International. 22(5): 533-542. Doi: 10.5322/JESI.2013.22.5.533.

1134. Kim, N.W. and J. Lee. 2009. Enhancement of the channel routing module in SWAT. Hydrological Processes. 24(1): 96-107. Doi: 10.1002/hyp.7474.

1135. Kim, N.W. and J. Lee. 2014. Assessment of complementary relationship evapotranspiration models for the Bokahcheon Upper-Middle Watershed. Journal of Korea Water Resources Association. 47(6): 457-559. Doi: 10.3741/JKWRA.2014.47.6.547.

1136. Kim, N.W. and J.E. Lee. 2009. Assessment of probability flood according to the flow regulation by multi-purpose dams in Han-River Basin. Journal of the Korean Water Resources Association. 42(2): 161-169. Doi: 10.3741/JKWRA.2009.42.2.161.

1137. Kim, N.W., and J. Lee. 2008. Temporally weighted average curve number method for daily runoff simulation. Hydrological Processes. 22(25): 4936-4948. Doi: 10.1002/hyp.7116.

1138. Kim, N.W., H. Na and I.-M. Chung. 2013. Simulation of groundwater variation characteristics of Hancheon Watershed in Jeju Island using integrated hydrologic modeling. Journal of Environmental Science International. 22(5): 515-522. Doi: 10.5322/JESI.2013.22.5.515.

1139. Kim, N.W., I.-M. Chung and H. Na. 2013. A method of simulating ephemeral stream runoff characteristics in Cheonmi-Cheon Watershed, Jeju Island. Journal of Environmental Science International. 22(5): 523-531. Doi: 10.5322/JESI.2013.22.5.523.

1140. Kim, N.W., J. Lee and J.E. Lee. 2013. Estimation of natural streamflow for the Bokhacheon middle-upper watershed. Journal of the Korean Water Resources Association. 46(12): 1169-1180. Doi: 10.3741/JKWRA.2013.46.12.1169.

1141. Kim, N.W., J. Lee, M. Chung and M.H. Lee. 2013. Combined effects of groundwater abstraction and irrigation reservoir on streamflow. Journal of the Korean Water Resources Association. 46(7): 719-733. Doi: 10.3741/JKWRA.2013.46.7.719.

1142. Kim, N.W., J.E. Lee and J.T. Kim. 2012. Assessment of flow regulation effects by dams in the Han River, Korea on the downstream flow regimes using SWAT. Journal of Water Resources Planning and Management. 138(1): 24-35. Doi: 10.1061/(ASCE)WR.1943-5452.0000148.

1143. Kim, N.W., J.W. Lee, J. Lee and J.E. Lee. 2010. SWAT application to estimate design runoff curve number for South Korean conditions. Hydrological Processes. 24(15): 2156-2170. Doi: 10.1002/hyp.7638.

1144. Kim, N.W., J.W. Lee, J. Lee and J.E. Lee. 2014. Estimation of runoff curve number for Chungju dam watershed using SWAT. Journal of the Korean Water Resources Association. 41(12): 1231-1244. Doi: 10.3741/JKWRA.2008.41.12.1231.

1145. Kim, N.W., Y.S. Won, J. Lee, J.E. Lee and J. Jeong. 2011. Hydrological impacts of urban imperviousness in White Rock Creek watershed. Transactions of the ASABE. 54(5): 1759-1771. Doi: 10.13031/2013.39848.

1146. Kim, R.J., D.P. Loucks and J.R. Stedinger. 2012. Artificial neural network models of watershed nutrient loading. Water Resources Management. 26(10): 2781-2797. Doi: 10.1007/s11269-012-0045-x.

1147. Kim, S., H. Noh, J. Jung, H. Jun and H.S. Kim. 2016. Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea. Water. 8(3) Doi: 10.3390/w8030091.

1148. Kim, S., Y. Kim, N. Kang and H.S. Kim. 2015. Application of the entropy method to select calibration sites for hydrological modeling. Water. 7(12): 6719-6735. Doi: 10.3390/w7126652.

1149. Kim, S.B., H.J. Shin, M. Park and S.J. Kim. 2014. Assessment of future climate change impacts on snowmelt and stream water quality for a mountainous high-elevation watershed using SWAT. Paddy and Water Environment. 13(4): 557-569. Doi: 10.1007/s10333-014-0471-x.

1150. Kim, T., J. Yoo, H.-i. Cho, J. Han, D.J. Lee, Y. Jung, J.E. Yang and K.J. Lim. 2016. Limitation analysis on estimation of SS pollutant load using Korean Ministry of Environment’s 8-Day interval flow and water quality data. Journal of Korean Society on Water Environment. 32(2): 149-162. Doi: 10.15681/KSWE.2016.32.2.149.

1151. Kim, Y., L.E. Band and C. Song. 2014. The influence of forest regrowth on the stream discharge in the North Carolina Piedmont watersheds. Journal of the American Water Resources Association. 50(1): 57–73. Doi: 10.1111/jawr.12115.

1152. Kim, Y.D., J.M. Kim and B. Kang. 2016. Projection of runoff and sediment yield under coordinated climate change and urbanization scenarios in Doam Dam watershed, Korea. Journal of Water and Climate Change. 8(1) Doi: 10.2166/wcc.2016.068.

1153. Kimwaga, R.J., D.A. Mashauri, F. Bukirwa, N. Banadda, U.G. Wali, I. Nhapi and I. Nansubuga. 2011. Modelling of non-point source pollution around Lake Victoria using SWAT model: A case of Simiyu Catchment Tanzania. The Open Environmental Engineering Journal. 4: 112-123.

1154. Kimwaga, R.J., D.A. Mashauri, F. Bukirwa, N. Banadda, U.G. Wali and I. Nhapi. 2012. Development of Best Management Practices for Controlling the Non-Point Sources of Pollution Around Lake Victoria Using SWAT Model: A Case of Simiyu Catchment Tanzania. The Open Environmental Engineering Journal. 5: 77-83.

1155. Kimwaga, R.J., F. Bukirwa, N. Banadda, U.G. Wali, I. Nhapi and D.A. Mashauri. 2012. Modelling the Impact of Land Use Changes on Sediment Loading Into Lake Victoria Using SWAT Model: A Case of Simiyu Catchment Tanzania. The Open Environmental Engineering Journal. 5: 66-76.

1156. King, K.W. and J.C. Balogh. 2001. Water quality impacts associated with converting farmland and forests to turfgrass. Transactions of the ASAE. 44(3): 569-576. Doi: 10.13031/2013.6117.

1157. King, K.W., J.G. Arnold, and R.L. Bingner. 1999. Comparison of Green-Ampt and curve number methods on Goodwin creek watershed using SWAT. Transactions of the ASAE. 42(4): 919-926. Doi: 10.13031/2013.13272.

1158. Kingston, D.G. and R.G. Taylor. 2010. Sources of unceratinty in climate change impacts on river discharge and groundwater in a headwater catchment of the Upper Nile Basin, Uganda. Hydrology and Earth System Sciences. 23(6): 1297-1308. Doi: 10.5194/hess-14-1297-2010.

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1452. Mehta, V.M., K. Mendoza, P. Daggupati, R. Srinivasan, N.J. Rosenberg and D. Deb. 2015. High-resolution simulations of decadal climate variability impacts on water yield in the Missouri River Basin with the Soil and Water Assessment Tool (SWAT). Journal of Hydrometeorology. Doi: 10.1175/JHM-D-15-0039.1.

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1460. Memarian, H., S.K. Balasundram, K.C. Abbaspour, J.B. Talib, C.T.B. Sung and A.M. Sood. 2014. SWAT-based hydrological modelling of tropical land use scenarios. Hydrological Sciences Journal. 59(10): 1808-1829. Doi: 10.1080/02626667.2014.892598.

1461. Mendas, A., M. Errih and F. Bouchenak. 2010. Hydrologic model combined with a GIS for estimating hydrologic balance at watershed scale: application to the Macta watershed (north-western Algeria). Journal of Water Supply Research and Technology. 57(5): 361-368.

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1464. Meng, H, A.M. Sexton, M.C. Maddox, A. Sood, C.W. Brown, R.R. Ferraro and R. Murtugudde. 2010. Modeling Rappahannock River Basin using SWAT - pilot for Chesapeake Bay Watershed. Applied Engineering in Agriculture. 26(5): 795-805. Doi: 10.13031/2013.34948.

1465. Meng, L.-c., H.-l. Yan, H.-y. Li, H.-m. Liu, Y.-k. Fu and R.-x. Liu. 2014. The runoff simulation of SWAT model in Yaoxiang small watershed. Journal of Shandong Agricultural University (Natural Science Edition). 45(3): 423-428. Doi: 10.3969/j.issn.1000-2324.2014.03.020.

1466. Meng, X., X. Ji, Z. Liu, J. Xiao, X. Chen and F. Wang. 2014. Research on improvement and application of snowmelt module in SWAT. Journal of Natural Resources. 29(3): 528-539. Doi: 10.11849/zrzyxb.2014.03.016.

1467. Mengistu, D.T. and A. Sorteberg. 2012. Sensitivity of SWAT simulated streamflow to climatic changes within the Eastern Nile River basin. Hydrology and Earth System Sciences. 16: 391-407. Doi: 10.5194/hess-16-391-2012.

1468. Menking, K.M., K.H. Syed, R.Y. Anderson, N.G. Shafike, and J.G. Arnold. 2003. Model estimates of runoff in the closed, semiarid Estancia basin, central New Mexico, USA. Hydrological Sciences Journal. 48(6): 953-970. Doi: 10.1623/hysj.48.6.953.51424.

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1471. Meyer, B.C., J.-M. Lescot and R. Laplana. 2008. Comparison of Two Spatial Optimization Techniques: A Framework to Solve Multiobjective Land Use Distribution Problems. Environmental Management. 43(2): 261-281. Doi: 10.1007/s00267-008-9225-0.

1472. Michailovsky, C.I. and P. Bauer-Gottwein. 2014. Operational reservoir inflow forecasting with radar altimetry: The Zambezi case study. Hydrology and Earth System Sciences. 18: 997-1007. Doi: 10.5194/hess-18-997-2014.

1473. Michalak, A.M., E.J. Anderson, D. Beletsky, S. Boland, N.S. Bosch, T.B. Bridgeman, J.D. Chaffin, K. Cho, R. Confesor, I. Daloglu, J.V. DePinto, M.A. Evans, G.L. Fahnenstiel, L. He, J. Ho, L. Jenkins, T.H. Johengen, K. Kuo, E. LaPorte, X. Liu, M.R. McWilliams, M.R. Moore, D.J. Posselt, R.P. Richards, D. Scavia, A.L. Steiner, E. Verhamme, D.M. Wright and M.A. Zagorski. 2013. Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions. Proceedings of the National Academy of Sciences. 110(16): 6448-6452. Doi: 10.1073/pnas.1216006110.

1474. Michaud, A.R., Beaudin, I., Deslandes, J., Bonn, F., Madramootoo, C.A.. 2007. SWAT-predicted influence of different landscape and cropping system alterations on phosphorus mobility within the Pike River watershed of south-western Quebec. Canadian Journal of Soil Science. 87: 329-344. Doi: 10.4141/S06-046.

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1476. Migliaccio, K. W. and I. Chaubey. 2008. Spatial distributions and stochastic parameter influences on SWAT flow and sediment predictions. Journal of Hydrologic Engineering. 13(4): 258-269. Doi: 10.1061/(ASCE)1084-0699(2008)13:4(258).

1477. Migliaccio, K.W., I. Chaubey, and B.E. Haggard. 2007. Evaluation of landscape and instream modeling to predict watershed nutrient yields. Environmental Modelling & Software. 22(7): 987-999. Doi: 10.1016/j.envsoft.2006.06.010.

1478. Mihon, D., V. Bâcu, T. Ştefănuţ and D. Gorgan. 2013. Human-Computer Interaction Techniques in Grid Based Hydrological Model Execution – gSWAT Application. Romanian Journal of Human - Computer Interaction. 4: 103-106.

1479. Milewski, A., M. Sultan, A. Al-Dousari and E. Yan. 2013. Geologic and Hydrologic Settings for Development of Freshwater Lenses in Arid Lands. Hydrological Processes. 28(7): 3185–3194. Doi: 10.1002/hyp.9823.

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1484. MingXing, L., M. ZhuGuo and D. JiWen. 2010. Regional soil moisture simulation for Shaanxi Province using SWAT model validation and trend analysis. Science China Earth Sciences. 53(4): 515-590. Doi: 10.1007/s11430-010-0031-1.

1485. Mirhosseini, G. and P. Srivastava. 2016. Effect of irrigation and climate variability on water quality of coastal watersheds: Case study in Alabama. Journal of Irrigation and Drainage Engineering. 142(2) Doi: 10.1061/(ASCE)IR.1943-4774.0000976.

1486. Mishra, A. and S. Kar. 2012. Modelling hydrologic processes and NPS pollution in a small watershed in subhumid subtropics using SWAT. Journal of Hydrologic Engineering. 17(3): 445–454. Doi: 10.1061/(ASCE)HE.1943-5584.0000458.

1487. Mishra, A., J. Froebrich and P.W. Gassman. 2007. Evaluation of the SWAT model for assessing sediment control structures in a small watershed in India. Transactions of the ASABE. 50(2): 469-478. Doi: 10.13031/2013.22637.

1488. Mishra, A., R. Singh and V.P. Singh. 2010. Evaluation of non-point source N and P loads in a small mixed land use land cover watershed. Journal of Water Resource and Protection. 2(4): 362-372. Doi: 10.4236/jwarp.2010.24042.

1489. Mishra, A., S. Kar, and V.P. Singh. 2007. Prioritizing structural management by quantifying the effect of land use and land cover on watershed runoff and sediment yield. Water Resources Management. 21(11): 1899-1913. Doi: 10.1007/s11269-006-9136-x.

1490. Mishra, V. and R. Lilhare. 2016. Hydrologic sensitivity of Indian sub-continental river basins to climate change. Global and Planetary Change. 139: 78-96. Doi: 10.1016/j.gloplacha.2016.01.003.

1491. Mitra, S. and A. Mishra. 2014. Hydrologic response to climatic change in the Baitarni River basin. Journal of Indian Water Resources Society. 34(1): 24-33.

1492. Mittal, N., A. Mishra, R. Singh, A.G. Bhave and M. van der Valk. 2014. Flow regime alteration due to anthropogenic and climatic changes in the Kangsabati River, India. Ecohydrology & Hydrobiology. 14(3): 182-191. Doi: 10.1016/j.ecohyd.2014.06.002.

1493. Mittal, N., A.G. Bhave, A. Mishra and R. Singh. 2016. Impact of human intervention and climate change on natural flow regime. Water Resources Management. 30(2): 685-699. Doi: 10.1007/s11269-015-1185-6.

1494. Mittelstet, A.R., D.E. Storm and A.L. Stoecker. 2015. Using SWAT and an empirical relationship to simulate crop yields and salinity levels in the North Fork River Basin. International Journal of Agricultural and Biological Engineering. 8(1): 57-63. Doi: 10.3965/j.ijabe.20150803.950.

1495. Mittelstet, A.R., D.E. Storm and M.J. White. 2016. Using SWAT to enhance watershed-based plans to meet numeric water quality standards. Sustainability of Water Quality and Ecology . 7: 5–21. Doi: /10.1016/j.swaqe.2016.01.002.

1496. Mittelstet, A.R., D.M. Heeren, G.A. Fox, D.E. Storm and M.J. White. 2011. Comparison of subsurface and surface runoff phophorus transport rates in alluvial floodplains. Agriculture Ecosystems and Environment. 141(3-4): 417-425. Doi: 10.1016/j.agee.2011.04.006.

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1499. Moch, A., H. Pawitan, K. Murtilaksono and I.N.S. Jaya. 2011. Hydrological Response Due to Deforestation in Barito Hulu Watershed, Central Kalimantan. Jurnal Manajemen Hutan Tropika. 17(3): 119-126.

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1512. Moon, J., Y. Jung, T. Lee, T-C. Kim, P. Rho, Y.C. Shin, J. Ryu and K.J. Lim. 2013. Determining the effective width of Riparian buffers in Korean watersheds using the SWAT model. Environmental Engineering and Management Journal. 12(11): 2249-2260.

1513. Moon, J.-P. and T.-C. Kim. 2006. Evaluation of SWAT2000 model application for estimating delivered nutrients load for the Gap Stream watershed. Journal of the Korean Society of Agricultural Engineers. 48(6): 84-100.

1514. Moon, J.-Y., J. Apland, S. Folle and D. Mulla. 2016. A watershed level economic analysis of cellulosic biofuel feedstock production with consideration of water quality. Sustainable Agricultural Research. 5(3): 56-75. Doi: 10.5539/sar.v5n3p56.

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1520. Moriasi, D.N., B.N. Wilson, K.R. Douglas-Mankin, J.G. Arnold and P.H. Gowda. 2012. Hydrologic and water quality models: Use, calibration, and validation. Transactions of the ASABE. 55(4): 1241-1247. Doi: 10.13031/2013.42265.

1521. Moriasi, D.N., C.G. Rossi, J.G. Arnold and M.D. Tomer. 2012. Evaluating hydrology of the Soil and Water Assessment Tool (SWAT) with new tile drain equations. Journal of Soil and Water Conservation. 67(6): 513-524. Doi: 10.2489/jswc.67.6.513.

1522. Moriasi, D.N., J.G. Arnold, G.G. Vaarquez-Amiaile, B.A. Engel and C.G. Rossi. 2009. Incorporation of a new shallow water table depth algorithm into SWAT2005. Transactions of the ASABE. 52(3): 771-784. Doi: 10.13031/2013.27398.

1523. Moriasi, D.N., J.G. Arnold, G.G. Vazquez-Amabile and B.A. Engel. 2011. Shallow water table depth algorithm in SWAT: Recent developments. Transactions of the ASABE. 54(5): 1705-1711. Doi: 10.13031/2013.39850.

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1528. Moriasi, D.N., P.H. Gowda, J.G. Arnold, D.J. Mulla, S. Ale and J.L. Steiner. 2013. Modeling the impact of nitrogen fertilizer application and tile drain configuration on nitrate leaching using SWAT. Agricultural Water Management. 130: 36-43. Doi: 10.1016/j.agwat.2013.08.003.

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1533. Mosbahi, M., S. Benabdallah and M.R. Boussema. 2014. Sensitivity analysis of a GIS-based model: A case study of a large semi-arid catchment. Earth Science Informatics. 8(3): 569-581. Doi: 10.1007/s12145-014-0176-0.

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1535. Motsinger, J., P. Kalita and R. Bhattarai. 2016. Analysis of best management practices implementation on water quality using the Soil and Water Assessment Tool. Water. 8(4) Doi: 10.3390/w8040145.

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1934. Roth, V. and T. Lemann. 2016. Comparing CFSR and conventional weather data for discharge and soil loss modelling with SWAT in small catchments in the Ethiopian Highlands. Hydrology and Earth System Sciences. 20: 921-934. Doi: 10.5194/hess-20-921-2016.

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2612. Yang, B. and M.-H. Li. 2011. Assessing planning approaches by watershed streamflow modeling: Case study of The Woodlands; Texas. Landscape and Urban Planning. 99(1): 9-22. Doi: 10.1016/j.landurbplan.2010.08.007.

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2620. Yang, Q. and X. Zhang. 2016. Improving SWAT for simulating water and carbon fluxes of forest ecosystems. Science of the Total Environment. 569–570: 1478–1488. Doi: 10.1016/j.scitotenv.2016.06.238.

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