SWAT Literature Database for Peer-Reviewed Journal Articles

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1. A.H. Bandi and N.S. Patil. 2022. Estimation of water balance components for the watershed of Ghataprabha Subbasin. Nature Environment and Pollution Technology. 21(3): 1395-1400. DOI: 10.46488/NEPT.2022.v21i03.048 .

2. Aalami, M.T., H. Abbasi and M.H. Niksokhan. 2018. Comparison of two calibration-uncertainty methods for Soil and Water Assessment Tool in stream flow and total suspended solids modeling. Journal of Water and Soil Science. 28(3): 53-64. URL: https://water-soil.tabrizu.ac.ir/article_8123.html?lang=en.

3. Aalami, M.T., H. Abbasi and V. Nourani. 2018. Sustainable management of reservoir water quality and quantity through reservoir operational strategy and watershed control strategies. International Journal of Environmental Research. 12: 773-788. DOI: 10.1007/s41742-018-0130-y .

4. Aamery, N.A., E. Adams, J. Fox, A. Husic, J. Zhu, M. Gerlitz, C. Agouridis and L. Bettel. 2021. Numerical model development for investigating hydrologic pathways in shallow fluviokarst. Journal of Hydrology. 593: 125844. DOI: 10.1016/j.jhydrol.2020.125844 .

5. Aamery, N.A., J.F. Fox and T. Mahoney. 2021. Variance decomposition of forecasted sediment transport in a lowland watershed using global climate model ensembles. Journal of Hydrology. 602: 126760. DOI: 10.1016/j.jhydrol.2021.126760 .

6. Aawar, T. and D. Khare. 2020. Assessment of climate change impacts on streamfow through hydrological model using SWAT model: A case study of Afghanistan. Modeling Earth Systems and Environment. 6(3): 1427-1437. DOI: 10.1007/s40808-020-00759-0 .

7. Abate, B.Z., A.A. Alaminie, T.T. Assefa, T.B. Tigabu and L. He. 2024. Modeling climate change impacts on blue and green water of the Kobo-Golina River in data-scarce Upper Danakil Basin, Ethiopia. Journal of Hydrology: Regional Studies. 53: 101756. DOI: 10.1016/j.ejrh.2024.101756 .

8. Abate, B.Z., T.T. Assefa, T.B. Tigabu, W.B. Abebe an L. He. 2023. Hydrological modeling of the Kobo-Golina River in the data-scarce Upper Danakil Basin, Ethiopia. Sustainability. 15(4): 3337. DOI: 10.3390/su15043337 .

9. 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. URL: http://www.hydroweb.com/journal-hydrology-2016-paper-10.html.

10. Abbas, N., S.A. Wasimi, N. Al-Ansari and S.N. Baby. 2018. Recent trends and long-range forecasts of water resources of northeast Iraq and climate change adaptation measures. Water. 10(11): 1562. DOI: 10.3390/w10111562 .

11. Abbas, S., Y. Xuan and R. Bailey. 2022. Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP. Hydrology. 9: 164. DOI: 10.3390/hydrology9100164 .

12. Abbas, S.A. and Y. Xuan. 2019. Development of a new quantile-based method for the assessment of regional water resources in a highly-regulated river basin. Water Resources Management. 33: 3187–3210. DOI: 10.1007/s11269-019-02290-z .

13. Abbas, S.A. and Y. Xuan. 2020. Impact of precipitation pre-processing methods on hydrological model performance using high-resolution gridded dataset. Water. 12(3): 840. DOI: 10.3390/w12030840 .

14. Abbas, S.A., R.T. Bailey, J.T. White, J.G. Arnold, M.J. White, N. Čerkasova and J. Gao. 2024. A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+. Hydrology and Earth System Sciences. 28(1): 21–48. DOI: 10.5194/hess-28-21-2024 .

15. Abbas, S.A., R.T. Bailey, M.K. Almahawis, J.T. White, J.G. Arnold and M.J. White. 2024. Calibration guide for watershed modeling with distributed groundwater modeling: Application for the SWAT+ model. Hydrological Sciences Journal. DOI: 10.1080/02626667.2024.2393414 .

16. Abbas, T., F. Hussain, G. Nabi, M.W. Boota and R.S. Wu. 2019. Uncertainty evaluation of SWAT model for snowmelt runoff in a Himalayan watershed. Terrestrial, Atmospheric and Oceanic Sciences. 30(2): 265-279. DOI: 10.3319/TAO.2018.10.08.01 .

17. 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. URL: http://www.scar.ac.cn/EN/10.3724/SP.J.1226.2016.00297.

18. Abbasi, A., M. Amirabadizedeh, A.A. Afshar and M. Yaghoobzadeh. 2022. Potential influence of climate and land-use changes on green water security in a semi-arid catchment. Journal of Water and Climate Change. 13(1): 287-303. DOI: 10.2166/wcc.2021.055 .

19. Abbasi, H. and L. Malekani. 2019. Runoff modeling and estimation of runoff changes due to climatic and human factors. Iranian Journal of Irrigation and Drainage . 13(2): 475-485. URL: https://idj.iaid.ir/article_92976.html?lang=en.

20. Abbasi, H., M. Delavar, R.B. Nalbandan and M.H. Shahdany. 2020. Robust strategies for climate change adaptation in the agricultural sector under deep climate uncertainty. Stochastic Environmental Research and Risk Assessment. 34(6): 755–774. DOI: 10.1007/s00477-020-01782-4 .

21. Abbasi, H., M.T. Aalami, M.H. Niksokhan and L. Malekani. 2022. Multi-objective optimization to manage reservoir water quality and quantity via selective withdrawal and watershed control. Sustainable Earth Review. 2(2): 1-14. URL: https://sustainearth.sbu.ac.ir/article_102538.html.

22. Abbasi, Y., C.M. Mannaerts and W. Makau. 2019. Modeling pesticide and sediment transport in the Malewa River Basin (Kenya) using SWAT. Water. 11: 87. DOI: 10.3390/w11010087 .

23. Abbaspour, K.C. 2021. The fallacy in the use of the “best-fit” solution in hydrologic modeling. Science of the Total Environment. 802: 149713. DOI: 10.1016/j.scitotenv.2021.149713 .

24. 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 .

25. 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 .

26. 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 .

27. Abbaspour, K.C., S. Ashraf Vaghefi, H. Yang and R. Srinivasan. 2019. Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT applications. Scientific Data. 6: 263. DOI: 10.1038/s41597-019-0282-4 .

28. Abbaspour, K.C., S.A. Vaghefi and R. Srinivasan. 2018. A guideline for successful calibration and uncertainty analysis for Soil and Water Assessment: A review of papers from the 2016 International SWAT Conference. Water. 10(1): 6. DOI: 10.3390/w10010006 .

29. Abdelwahab O.M.M., G.F. Ricci, A.M. De Girolamo and F. Gentile. 2018. Modelling soil erosion in a Mediterranean watershed: Comparison between SWAT and AnnAGNPS models. Environmental Research. 166: 363-376. DOI: 10.1016/j.envres.2018.06.029 .

30. 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 .

31. Abdulai, P.J. and E.S. Chung. 2019. Uncertainty assessment in drought severities for the Cheongmicheon Watershed using multiple GCMs and the reliability ensemble averaging method. Sustainability. 11(16): 4283. DOI: 10.3390/su11164283 .

32. Abdule, A.M., A. Muluneh and A. Woldemichael. 2023. Impact of climate and land use/land cover changes in streamflow in Yadot Watershed, Genale Dawa Basin, Ethiopia. Air, Soil and Water Research. 16: 1-15. DOI: 10.1177/11786221231200106 .

33. Abdulkareem, J.H., B. Pradhan, W.N.A. Sulaiman and N. R. Jamil. 2018. Review of studies on hydrological modelling in Malaysia. Modeling Earth Systems and Environment. 4(4): 1577-1605. DOI: 10.1007/s40808-018-0509-y .

34. 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. URL: https://jjce.just.edu.jo/issues/show_paper.php?pid=21.

35. Abdullah, F., W.B. Mamoon, AKM S. Islam , GM T. Islam, S.K. Bala, S. Kaiser, K. Mohammed, M. Billah and M.K. Das. 2024. Hydrological responses of the Brahmaputra river basin using CMIP6 GCM projections for supporting climate resilient infrastructure design. Sustainable and Resilient Infrastructure. DOI: 10.1080/23789689.2024.2371741 .

36. Abe, C.A., F. de L. Lobo, E.M.L. de M. Novo, M. Costa and Y. Dibike. 2019. Modeling the effects of land cover change on sediment concentrations in a gold-mined Amazonian basin. Regional Environmental Change. 19(6): 1801–1813. DOI: 10.1007/s10113-019-01513-8 .

37. Abe, C.A., F. de Lucia Lobo, Y.B. Dibike, M.P. de Farias Costa, V. dos Santos and E.M.L.M. Novo. 2018. Modelling the ffects of historical and future land cover changes on the hydrology of an Amazonian Basin. Water. 10(7): 932. DOI: 10.3390/w10070932 .

38. Abebe W.B. S.A. Tilahun, M.M. Moges, A. Wondie, M.G. Dersseh, W.W. Assefa, D.A. Mhiret, A.A. Adem, F.A. Zimale, W. Abera, T.S. Steenhuis and M.E. McClain. 2021. Ecological status as the basis for the holistic environmental flow assessment of a tropical highland river in Ethiopia. Water. 13(14): 1913. DOI: 10.3390/w13141913 .

39. Abebe, B.K., F.A. Zimale, K.K. Gelaye, T. Gashaw, E.G. Dagnaw and A.A. Adem. 2022. Application of hydrological and sediment modeling with limited data in the Abbay (Uppe Blue Nile) Basin, Ethiopia. Hydrology. 9(10): 167. DOI: 10.3390/hydrology9100167 .

40. Abebe, T. and B. Gebremariam. 2019. Modeling runoff and sediment yield of Kesem Dam Watershed, Awash Basin, Ethiopia. SN Applied Sciences. 1: 446. DOI: 10.1007/s42452-019-0347-1 .

41. Abera, F.F. and A. Shumete. 2021. Optimal operation of cascade reservoir systems under climate change: Case study of Tekeze Hydropower Reservoir in the tributary of the Blue Nile River. Abyssinia Journal of Engineering & Computing. 1(2): 31-46. DOI: 10.20372/ajec.2021.v1.i2.242 .

42. Abera, F.F., D.H. Asfaw, A.N. Engida and A.M. Melesse. 2018. Optimal operation of hydropower reservoirs under climate change: The case of Tekeze Reservoir, Eastern Nile. Water. 10(3): 273. DOI: 10.3390/w10030273 .

43. Abesh, B.F., L. Jin and J.A. Hubbart. 2022. Predicting climate change impacts on water balance components of a mountainous watershed in the northeastern USA. Water. 14(20): 3349. DOI: 10.3390/w14203349 .

44. Abeysingha, N.S., A. Islam and M. Singh. 2020. Assessment of climate change impact on flow regimes over the Gomti River Basin under IPCC AR5 climate change scenarios. Journal of Water and Climate Change. 11(1): 303-326. DOI: 10.2166/wcc.2018.039 .

45. 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: 1250. DOI: 10.1186/s40064-016-2905-y .

46. Abeysingha, N.S., M. Singh, A. Islam, M. Khanna, V.K. Sehgal and H. Pathak. 2017. Impacts of Climate Change on Stream Flow in the Gomti River Basin of India. Journal of Agricultural Engineering (India). 54(4): 49-63. DOI: 10.52151/jae2017544.1639 .

47. 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. URL: https://www.jstor.org/stable/24905656.

48. Abimbola, O., A. Mittelstet, T. Messer, E. Berry and A. van Griensven. 2021. Modeling and prioritizing interventions using pollution hotspots for reducing nutrients, atrazine and e. coli concentrations in a watershed. Sustainability. 13(1): 103. DOI: 10.3390/su13010103 .

49. Abimbola, O., A. Mittelstet, T. Messer, E. Berry and A.V. Griensven. 2021. Modeling and prioritizing interventions using pollution hotspots for reducing nuctrients, atrazine and e. coli oncentrations in a watershed. Sustainability. 13(1): 103. DOI: 10.3390/su13010103 .

50. Abiodun, O.O., H. Guan, V.E.A. Post and O. Batelaan. 2018. Comparison of MODIS and SWAT evapotranspiration over a complex terrain at different spatial scales. Hydrology and Earth System Sciences. 22(5): 2775-2794. DOI: 10.5194/hess-22-2775-2018 .

51. Abitew, T.A., J. Arnold, J. Jeong, A. Jones and R. Srinivasan. 2023. Innovative approach to prognostic plant growth modeling in SWAT+ for forest and perennial vegetation in tropical and sub-tropical climates. Journal of Hydrology X. 20: 100156. DOI: 10.1016/j.hydroa.2023.100156 .

52. Abi-Zreig, M. and L.B. Hani. 2021. Assessment of the SWAT model in simulating watersheds in arid regions: Case study of the Yarmouk River Basin (Jordan). Open Geoscience. 13(1): 377-389. DOI: 10.1515/geo-2020-0238 .

53. Aboelnour, M., M.W. Gitau and B.A. Engel. 2019. Hydrologic response in an urban watershed as affected by climate and land-use change. Water. 11(8): 1603. DOI: 10.3390/w11081603 .

54. Aboelnour, M., M.W. Gitau and B.A. Engel. 2020. A Comparison of streamflow and baseflow responses to land-use change and the variation in climate parameters using SWAT. Water. 12(1): 191. DOI: 10.3390/w12010191 .

55. 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 .

56. Abouali, M, A.P. Nejadhashemi, F. Daneshvar, M.R. Herman, U. Adhikari, T.J. Calappi and J.P. Selegean. 2018. Evaluation of the effectiveness of conservation practices under implementation site uncertainty. Journal of Environmental Management. 228: 197-204. DOI: 10.1016/j.jenvman.2018.09.035 .

57. Abouali, M., A.P. Nejadhashemi, F. Daneshvar and S.A. Woznicki. 2016. Two-phase approach to improve stream health modeling. Ecological Informatics. 34: 13-21. DOI: 10.1016/j.ecoinf.2016.04.009 .

58. Abouali, M., A.P. Nejadhashemi, F. Daneshvar, U. Adhikari, M.R. Herman, T.J. Calappi and B.G. Rohn. 2017. Evaluation of wetland implementation strategies on phosphorus reduction at a watershed scale. Journal of Hydrology. 552: 105-120. DOI: 10.1016/j.jhydrol.2017.06.038 .

59. 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 .

60. Abraham, T., A. Muluneh, R. Girma, A. Hartmann and S. Tekleab. 2022. Quantifying sensitivity of groundwater recharge to land use and land cover changes by improving model performance on the wetland dominated Tikur Wuha Watershed, Ethiopia. Water Cycle. 3: 112-125. DOI: 10.1016/j.watcyc.2022.08.002 .

61. 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 Geosciences. 8(2): 951-959. DOI: 10.1007/s12517-014-1266-5 .

62. Abubakari, S., X. Dong, B. Su, X. Hu, J. Liu, Y. Li, T. Peng, H. Ma, K. Wang and S. Xu. 2019. Modelling streamflow response to climate change in data-scarce White Volta River Basin of West Africa using a semi-distributed hydrologic model. Journal of Water and Climate Change. 10(4): 907-930. DOI: 10.2166/wcc.2018.193 .

63. Abuhay, W., T. Gashaw and L. Tsegaye. 2023. Assessing impacts of land use/land cover changes on the hydrology of Upper Gilgel Abbay Watershed using the SWAT model. Journal of Agricultural and Food Chemistry. 12: 100535. DOI: 10.1016/j.jafr.2023.100535 .

64. Abunada, Z. Y. Kishawi, T.M. Alslaibi, N. Kaheil and A. Mittelstet. 2021. The application of SWAT-GIS tool to improve the recharge factor in the DRASTIC framework: Case study. Journal of Hydrology. 592: 125613. DOI: 10.1016/j.jhydrol.2020.125613 .

65. Acero Triana, J.S. and H. Ajami. 2022. Identifying major hydrologic change drivers in a highly managed transboundary endorheic basin: Integrating hydro-ecological models and time series data mining techniques. Water Resources Research. 58(8): e2022WR032281. DOI: 10.1029/2022WR032281 .

66. Acero Triana, J.S., M.L. Chu, J.A. Guzman, D.L. Moriasi and J.L. Steiner. 2019. Beyond model metrics: The perils of calibrating hydrologic models. Journal of Hydrology. 578: 124032. DOI: 10.1016/j.jhydrol.2019.124032 .

67. Acero Triana, J.S., M.L. Chu, J.A. Guzman, D.L. Moriasi and J.L. Steiner. 2020. Evaluating the risks of groundwater extraction in an agricultural landscape under different climate projections. Water. 12(2): 400. DOI: 10.3390/w12020400 .

68. Acharki, S., S. Taia, Y. Arjdal and J. Hack. 2023. Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco. Climate Services. 30: 100388. DOI: 10.1016/j.cliser.2023.100388 .

69. Acharya, A. 2017. Quantification of modeled streamflows under climate change over the Flint River Watershed in northern Alabama. Journal of Hydrologic Engineering. 22(9): 04017032. DOI: 10.1061/(ASCE)HE.1943-5584.0001549 .

70. Acharya, A. 2018. Evaluating the suitability of application of hydrological models in a mixed land use watershed. Journal of Water Management Modeling. 26: C456. DOI: 10.14796/JWMM.C456 .

71. Acharya, B. and H. Blanco-Canqui. 2018. Lignocellulosic-based bioenergy and water quality parameters: A review. Global Change Biology Bioenergy. 10: 504-533. DOI: 10.1111/gcbb.12508 .

72. Acharyya, R., A. Mukhopadhyay and M. Habel. 2023. Coupling of SWAT and DSAS models for assessment of retrospective and prospective transformations of river deltaic estuaries. Remote Sensing. 15(4): 958. DOI: 10.3390/rs15040958 .

73. Acharyya, R., N. Pramanick, S. Mukherjee, S. Ghosh, A. Chanda, I. Pal, D. Mitra and A. Mukhopadhyay. 2022. Evaluation of catchment hydrology and soil loss in non‑perennial river system: a case study of Subarnarekha Basin, India. Modeling Earth Systems and Environment. 8(2): 2401-2429. DOI: 10.1007/s40808-021-01231-3 .

74. Acuña, M.J.E. and C.R.Z. Martínez. 2022. Application of hydrological model SWAT in hydrographic units in Nicaragua: Simulation of surface runoff. Recursos Naturales y Ambiente. 21(36): 24-29. DOI: 10.5377/calera.v22i38.14116 .

75. 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 .

76. 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 .

77. 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. 2(3): 313–330. DOI: 10.1007/s40899-016-0058-3 .

78. Adem, A.A., Y.T. Dile, A.W. Worqlul, E.K. Ayana, S.A. Tilahun and T.S. Steenhuis. 2020. Assessing digital soil inventories for predicting streamflow in the headwaters of the Blue Nile. Hydrology. 7(1): 8. DOI: 10.3390/hydrology7010008 .

79. Adeogun, A.G., B.A. Ibitoye, A.W. Salami and G.T. Ihagh. 2020. Sustainable management of erosion prone areas of upper watershed of Kainji Hydropower Dam, Nigeria. Journal of King Saud University - Engineering Sciences. 32(1): 5-10. DOI: 10.1016/j.jksues.2018.05.001 .

80. 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. URL: https://journals.utm.my/mjce/article/view/15906.

81. Adeogun, A.G., B.F. Sule and A.W. Salami. 2018. Cost effectiveness of sediment management strategies for mitigation of sedimentation at Jebba Hydropower reservoir, Nigeria. Journal of King Saud University - Engineering Sciences. 30(2): 141-149. DOI: 10.1016/j.jksues.2016.01.003 .

82. Adeogun, A.G., E.O. Adeyemi and H.O. Ganiyu. 2022. GIS-based prediction and comparitive analysis of potential evapotranspiration using selected methods at Omi-Kampe Watershed, Nigeria. Nigerian Journal of Technology. 41(2): 396-407. DOI: 10.4314/njt.v41i2.22 .

83. Adeogun, A.G., H.O. Ganiyu, A.B. Okunade and O.T. Amoo. 2022. Modelling the impacts of selected watershed management strategies on sediment reduction upstream of Shiroro Dam, Nigeria. Journal of Engineering Studies and Research. 28(4): 7-17. DOI: 10.29081/jesr.v28i4.001 .

84. Adeogun, A.G., H.O. Ganiyu, L.L. Ladokun and B.A. Ibitoye. 2020. Evaluation of hydrokinetic energy potentials of selected rivers in Kwara State, Nigeria. Environmental Engineering Research. 25(3): 267-273. DOI: 10.4491/eer.2018.028 .

85. Adeogun, B.K., S.U. Bello and I.M. Sanni. 2019. Hydrological modelling of Kangimi Dam Watershed using GIS and SWAT model. ANNALS of Faculty Engineering Hunedoara. 17(2): 165-170. URL: http://annals.fih.upt.ro/pdf-full/2019/ANNALS-2019-2-23.pdf.

86. Adhikari, R.K., S. Mohanasundaram and S. Shrestha. 2020. Impacts of land-use changes on the groundwater recharge in the Ho Chi Minh City, Vietnam. Environmental Research. 185: 109440. DOI: 10.1016/j.envres.2020.109440 .

87. Adhikari, U. and P. Nejadhashemi. 2016. Impacts of climate change on water resources in Malawi. Journal of Hydrologic Engineering. 21(11): 05016026. DOI: 10.1061/(ASCE)HE.1943-5584.0001436 .

88. Adhikary, P.P., D.R. Sena, C.J. Dash, U. Mandal, S. Nanda, M. Madhu, D.C. Sahoo and P.K. Mishra. 2019. Effect of calibration and validation decisions on streamflow modeling for a heterogeneous and low runoff–producing river basin in India. Journal of Hydrologic Engineering. 24(7): 05019015. DOI: 10.1061/(ASCE)HE.1943-5584.0001792 .

89. Adib, M.N.M., M.K. Rowshon, M.A. Mojid and I. Habibu. 2020. Projected streamflow in the Kurau River Basin of western Malaysia under future climate scenarios. Scientific Reports. 10: 8336. DOI: 10.1038/s41598-020-65114-w .

90. 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 .

91. Adla, S., S. Tripathi and M. Disse. 2019. Can We Calibrate a Daily Time-Step Hydrological Model Using Monthly Time-Step Discharge Data? Water. 11 (9): 1750. DOI: 10.3390/w11091750 .

92. Admas, B.F., T. Gashaw, A.A. Adem, A.W. Worqlul, Y.T. Dile and E. Molla. 2022. Identification of soil erosion hot-spot areas for prioritization of conservation measures using the SWAT model in Ribb Watershed, Ethiopia. Resources, Environment and Sustainability. 8: 100059. DOI: 10.1016/j.resenv.2022.100059 .

93. Adnan, M., K. Shi-Chang, Z. Guo-Shuai, M.N. Anjum, M. Zaman and Z. Yu-Qing. 2019. Evaluation of SWAT model performance on glaciated and non-glaciated subbasins of Nam Co Lake, southern Tibetan Plateau, China. Journal of Mountain Science. 16(5): 1075-1097. DOI: 10.1007/s11629-018-5070-7 .

94. Adnan, M., S. Kang, G. Zhang, M. Saifullah, M.N. Anjum and A.F. Ali. 2019. Simulation and analysis of the water balance of the Nam Co Lake using SWAT model. Water. 11(7): 1383. DOI: 10.3390/w11071383 .

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317. Arjomandi, A., S.A. Mortazavi, S. Khalilian and A.Z. Garizi. 2021. Optimal land-use allocation using MCDM and SWAT for the Hablehroud Watershed, Iran. Land Use Policy. 100: 104930. DOI: 10.1016/j.landusepol.2020.104930 .

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320. Arnillas, C.A., C. Yang, S.A. Zamaria, A. Neumann, A. Javed, Y. Shimoda, N. Feisthauer, A. Crolla, F. Dong, A. Blukacz-Richards, Y.R. Rao, D. Paredes and G.B. Arhonditsis. 2021. Integrating watershed and ecosystem service models to assess best management practice efficiency: Guidelines for Lake Erie managers and watershed modellers. Environmental Reviews. 29(1): 31–63. DOI: 10.1139/er-2020-0071 .

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322. Arnold, J.G. and J.R. Williams. 1987. Validation of SWRRB-- Simulator for water resources in rural basins. Journal of Water Resources Planning and Management. 113(2): 243-256. DOI: 10.1061/(ASCE)0733-9496(1987)113:2(243) .

323. Arnold, J.G. and N. Fohrer. 2005. SWAT2000: current capabilities and research opportunities in applied watershed modeling. Hydrological Processes. 19(3): 563-572. DOI: 10.1002/hyp.5611 .

324. Arnold, J.G. and P.M. Allen. 1996. Estimating hydrologic budgets for three Illinois watersheds. Journal of Hydrology. 176(1-4): 57‑77. DOI: 10.1016/0022-1694(95)02782-3 .

325. Arnold, J.G. and P.M. Allen. 1999. Automated methods for estimating baseflow and groundwater recharge from streamflow records. Journal of the American Water Resources Association. 35(2): 411-424. DOI: 10.1111/j.1752-1688.1999.tb03599.x .

326. Arnold, J.G., Allen, P.M. and G. Bernhardt. 1993. A comprehensive surface‑groundwater flow model. Journal of Hydrology. 142(1-4): 47‑69. DOI: 10.1016/0022-1694(93)90004-S .

327. Arnold, J.G., D.N. Moriasi, P.W. Gassman, K.C. Abbaspour, M.J. White, R. Srinivasan, C. Santhi, R.D. Harmel, A. van Griensven, M.W. Van Liew, N. Kannan and M.K. Jha. 2012. SWAT: Model use, calibration, and validation. Transactions of the ASABE. 55(4): 1491-1508. DOI: 10.13031/2013.42256 .

328. Arnold, J.G., J.R. Williams and D.A. Maidment. 1995. Continuous-time water and sediment-routing model for large basins. Journal of Hydraulic Engineering. 121(2): 171-183. DOI: 10.1061/(ASCE)0733-9429(1995)121:2(171) .

329. Arnold, J.G., K. Bieger, M.J. White, R. Srinivasan, J.A. Dunbar and P.M. Allen. 2018. Use of decision tables to simluate management in SWAT+. Water. 10(6). DOI: 10.3390/w10060713 .

330. Arnold, J.G., K.N. Potter, K.W. King and P.M. 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 .

331. Arnold, J.G., M.A. Youssef, H. Yen, M.J. White, A.Y. Sheshukov, A.M. Sadeghi, D.N. Moriasi, J.L. Steiner, D.M. Amatya, R.W. Skaggs, E.B. Haney, J. Jeong, M. Arabi and P.H. Gowda. 2015. Hydrological processes and model representation: Impact of soft data on calibration. Transactions of the ASABE. 58(6): 1637-1660. DOI: 10.13031/trans.58.10710 .

332. Arnold, J.G., M.J. White, P.M. Allen, P.W. Gassman and K. Bieger. 2021. Conceptual framework of connectivity for a national agroecosystem model based on transport processes and management practices. Journal of the American Water Resources Association. 54(1): 154-169. DOI: 10.1111/1752-1688.12890 .

333. Arnold, J.G., P.M. Allen and D. Morgan. 2001. Hydrologic model for design and constructed wetlands. Wetlands. 21(2): 167-178. DOI: 10.1672/0277-5212(2001)021[0167:HMFDAC]2.0.CO;2 .

334. Arnold, J.G., P.M. Allen, M. Volk, J.R. Williams and D.D. Bosch. 2010. Assessment of different representations of spatial variability on SWAT model performance. Transactions of the ASABE. 53(5): 1433-1443. DOI: 10.13031/2013.34913 .

335. Arnold, J.G., P.M. Allen, R.S. Muttiah and G. Bernhardt. 1995. Automated base flow separation and recession analysis techniques. Groundwater. 33(6): 1010‑1018. DOI: 10.1111/j.1745-6584.1995.tb00046.x .

336. Arnold, J.G., R. Srinivasan and B.A. Engel. 1994. Flexible watershed configurations for simulating models. Hydrological Science and Technology. 10(1‑4): 5‑14.

337. Arnold, J.G., R. Srinivasan, R.S. Muttiah and J.R. Williams. 1998. Large area hydrologic modeling and assessment part I: Model development. Journal of the American Water Resources Association. 34(1): 73‑89. DOI: 10.1111/j.1752-1688.1998.tb05961.x .

338. Arnold, J.G., R. Srinivasan, R.S. Muttiah and P.M. Allen. 1999. Continental scale simulation of the hydrologic balance. Journal of the American Water Resources Association. 35(5): 1037-1052. DOI: 10.1111/j.1752-1688.1999.tb04192.x .

339. Arnold, J.G., R. Srinivasan, T.S. Ramanarayanan and M. Di Luzio. 1999. Water resources of the Texas Gulf Basin. Water Science and Technology. (39)3: 121-133. DOI: 10.1016/S0273-1223(99)00044-X .

340. Arnold, J.G., R.S. Muttiah, R. Srinivasan and P.M. Allen. 2000. Regional estimation of base flow and groundwater recharge in the Upper Mississippi River Basin. Journal of Hydrology. 227(1-4): 21-40. DOI: 10.1016/S0022-1694(99)00139-0 .

341. Arora, P., J. Lamba, P. Srivastava and L. Kalin. 2019. Modeling effectiveness of broiler litter application method for reducing phosphorus and nitrogen losses. Hydrology Research. 50(4): 1047-1061. DOI: 10.2166/nh.2019.017 .

342. Arrueta, L., D. Jackson-Smith and M. Kalcic. 2022. Simulating behavioral heterogeneity in watershed models: A systematic review of fertilizer use in SWAT studies. Journal of Soil and Water Conservation. 77(3): 249-260. DOI: 10.2489/jswc.2022.00055 .

343. Arshad, A., A.M. shir Ahmad, M. Samimi and B. Ahmad. 2022. Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB). Science of the Total Environment. 838(Part2): 156044. DOI: 10.1016/j.scitotenv.2022.156044 .

344. Artita, K.S., P. Kaini and J.W. Nicklow. 2013. Examining the possibilities: Generating alternative watershed-scale BMP designs with evolutionary algorithms. Water Resources Management. 27(12): 3849-3863. DOI: 10.1007/s11269-013-0375-3 .

345. Aryal, A., S. Shrestha and M.S. Babel. 2019. Quantifying the sources of uncertainty in an ensemble of hydrological climate-impact projections. Theoretical and Applied Climatology. 135(1-2): 193–209. DOI: 10.1007/s00704-017-2359-3 .

346. Asadi, S., S.J. Mousavi, A. López-Ballesteros and J. Senent-Aparicio. 2024. Analyzing hydrological alteration and environmental flows in a highly anthropized agricultural river basin system using SWAT+, WEAP and IAHRIS. Journal of Hydrology: Regional Studies. 52: 101738. DOI: 10.1016/j.ejrh.2024.101738 .

347. Asadzadeh, M., B. Tolson and D.H. Burn. 2014. A new selection metric for multi-objective hydrologic model calibration. Water Resources Research. 50(9): 7082-7099. DOI: 10.1002/2013WR014970 .

348. Asadzadeh, M., L. Leon, C. McCrimmon, W. Yang, Y. Liu, I. Wong, P. Fong and G. Bowen. 2015. Watershed derived nutrients for lake Ontario inflows: Model calibration considering typical land operations in southern Ontario. Journal of Great Lakes Research. 41(4): 1037-1051. DOI: 10.1016/j.jglr.2015.09.002 .

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350. Asante, K., M.D. Leh, J.D. Cothren, M. Di Luzio and J.V. Brahana. 2017. Effects of land-use land-cover data resolution and classification methods on SWAT model flow predictive reliability. International Journal of Hydrology Science and Technology. 7(1): 39-62. URL: http://www.inderscienceonline.com/doi/abs/10.1504/IJHST.2017.080956.

351. Asgari, M., W. Yang, J. Lindsay, B. Tolson and M.M. Dehnavi. 2022. A review of parallel computing applications in calibrating watershed hydrologic models. Environmental Modelling & Software. 151: 105370. DOI: 10.1016/j.envsoft.2022.105370 .

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357. Ashu, A.B. and S-I. Lee. 2020. Assessing climate change effects on water balance in a monsoon watershed. Water. 12(9): 2564. DOI: 10.3390/w12092564 .

358. Askar, M.A.A. and M. Basibuyuk. 2020. AssessIng climate change impacts on water resources of Seyhan River Basin by using SWAT model. Çukurova Üniversitesi Fen Bilimleri Enstitüsü. 39(2): 1-10. URL: https://fbe.cukurova.edu.tr/cu/e-dergi/makaleler/2020%20Y%C4%B1l%C4%B1.

359. Aslam, R.A., S. Shrestha, M.N. Usman, S.N. Khan, S. Ali, M.S. Sharif, M.W. Sarwar, N. Saddique, A. Sarwar, M.U. Ali and A. Arshad. 2022. Integrated SWAT-MODFLOW modeling-based groundwater adaptation policy guidelines for Lahore, Pakistan under projected climate change, and human development scenarios. Atmosphere. 13(12): 2001. DOI: 10.3390/atmos13122001 .

360. Asl-Rousta, B. and S.J. Mousavi. 2019. A TOPSIS-based multicriteria approach to the calibration of a basin-scale SWAT hydrological model. Water Resources Management. 33(1): 439–452. DOI: 10.1007/s11269-018-2111-5 .

361. Asl-Rousta, B., S.J. Mousavi, M. Ehtiat and M. Ahmadi. 2018. SWAT-based hydrological modelling using model selection criteria. Water Resources Management. 32(6): 2181-2197. DOI: 10.1007/s11269-018-1925-5 .

362. Aslund, M.W., R.L. Breton, L. Padilla, M. Winchell, K.L. Wooding, D.R.J. Moore, R.S. Teed, R. Reiss and P. Whatling. 2017. Ecological risk assessment for pacific salmon exposed to Dimethoate in California. Environmental Toxicology and Chemistry. 36(2): 532–543. DOI: 10.1002/etc.3563 .

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813. Chattrairat, K., A. Jattamart, and A. Leelasantitham. 2022. Estimating water runoff from downscaling climate change scenarios using Soil and Water Assessment Tool and machine learning: A case study of Lake Tana Basin in Ethiopia. Science, Engineering and Health Studies. 16: 22020012. DOI: 10.14456/sehs.2022.62 .

814. Chaubey, I., A.S. Cotter. T.A. Costello and T.S. Soerens. 2005. Effect of DEM data resolution on SWAT output uncertainty. Hydrological Processes. 19(3): 621-628. DOI: 10.1002/hyp.5607 .

815. Chaubey, I., L. Chiang, M.W. Gitau and S. Mohamed. 2010. Effectiveness of best management practices in improving water quality in a pasture-dominated watershed. Journal of Soil and Water Conservation. 65(6): 424-437. DOI: 10.2489/jswc.65.6.424 .

816. Chauhan, N., V. Kumar and P. Paliwal. 2020. Quantifying the impacts of decadal landuse change on the water balance components using Soil and Water Assessment Tool in Ghaggar River Basin. SN Applied Sciences. 2(11): 1777. DOI: 10.1007/s42452-020-03606-0 .

817. Chawanda, C.J., A. Nkwasa, W. Thiery and A. van Griensven. 2024. Combined impacts of climate and land-use change on future water resources in Africa. Hydrology and Earth System Sciences. 28(1): 117–138. DOI: 10.5194/hess-28-117-2024 .

818. Chawanda, C.J., C. George, W. Thiery, A. van Griensven, J. Tech, J. Arnold and R. Srinivasan. 2020. User-friendly workflows for catchment modelling: Towards reproducible SWAT+ model studies. Environmental Modelling & Software. 134: 104812. DOI: 10.1016/j.envsoft.2020.104812 .

819. Chawanda, C.J., J. Arnold, W. Thiery and A. van Griensven. 2020. Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+. Climatic Change. 163(3): 1307–1327. DOI: 10.1007/s10584-020-02924-x .

820. Chebet, C., V.A.O. Odenyo and E.C. Kipkorir. 2017. Modeling the impact of land use changes on river flows in Arror watershed, Elgeyo Marakwet County, Kenya. Water Practice and Technology. 12(2): 344-353. DOI: 10.2166/wpt.2017.028 .

821. Cheema, M., W. Immerzeel and W. Bastiaanssen. 2014. Spatial quantification of groundwater abstraction in the irrigated Indus basin. Groundwater. 52(1): 25–36. DOI: 10.1111/gwat.12027 .

822. Chegnizadeh, A., H. Rabieifar, H. Ebrahimi and M.Z. Nayeri. 2022. Evaluating the hydrological response due to the changes in climate and land use on streamflow in the Karkheh basin, Iran. Journal of Water and Climate Change. 13(11): 4054-4068. DOI: 10.2166/wcc.2022.278 .

823. Chegwin, M.R. and S. Kumara. 2018. Energy, land and water nexus in Sri Lanka’s Mahaweli basin. Energy. 17(13): 93-111. DOI: 10.1680/jener.17.00026 .

824. Chen, C., Y. Zhang, Y. Xiang and L. Wang. 2014. Study on runoff responses to land use change in Ganjiang Basin. Journal of Natural Resources. 29(10): 1758-1769. DOI: 10.11849/zrzyxb.2014.10.011 .

825. Chen, D., J. Li, Z. Zhou, Y. Liu, T. Li and J. Liu. 2018. Simulating and mapping the spatial and seasonal effects of future climate and land -use changes on ecosystem services in the Yanhe watershed, China. Environmental Science and Pollution Research. 25(2): 1115-1131. DOI: 10.1007/s11356-017-0499-8 .

826. Chen, E. and D.S. Mackay. 2004. Effects of distribution-based parameter aggregation on a spatially distributed agricultural nonpoint source pollution model. Journal of Hydrology. 295(1-4): 211-224. DOI: 10.1016/j.jhydrol.2004.03.029 .

827. Chen, F. and J. Li. 2016. Quantifying drought and water scarcity: A case study in the Luanhe river basin. Natural Hazards. 81(3): 1913-1927. DOI: 10.1007/s11069-016-2162-y .

828. Chen, F., W.T. Crow, P.J. Starks and D.N. Moriasi. 2011. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Advances in Water Resources. 34(4): 526-536. DOI: 10.1016/j.advwatres.2011.01.011 .

829. Chen, H., J. Chen, Y. Liu and J. He. 2021. Study of nitrogen pollution Simulation and management measures on SWAT model in typhoon period of Shanxi Reservoir Watershed, Zhejiang Province, China. Polish Journal of Environmental studies. 30(3): 1-9. DOI: 10.15244/pjoes/130038 .

830. Chen, H., Y. Luo, C. Potter, P.J. Moran, M.L. Grieneisen and M. Zhang. 2017. Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT. Water Research. 121: 374–385. DOI: 10.1016/j.watres.2017.05.032 .

831. Chen, J. and Y. Wu. 2012. Advancing representation of hydrologic processes in the Soil and Water Assessment Tool (SWAT) through integration of the TOPographic MODEL (TOPMODEL) features. Journal of Hydrology. 420-421: 319-328. DOI: 10.1016/j.jhydrol.2011.12.022 .

832. Chen, J. and H. Chang. 2021. Relative impacts of climate change and land cover change on streamflow using SWAT in the Clackamas River Watershed, USA. Journal of Water and Climate Change. 12(5): 1454–1470. DOI: 10.2166/wcc.2020.123 .

833. Chen, J. and X. Li. 2004. Simulation of hydrological response to land-cover changes. Chinese Journal of Applied Ecology. 15(5): 833-836. URL: http://www.cjae.net/EN/Y2004/V/I5/833.

834. Chen, J., C. Du, T. Nie, X. Han and S. Tang. 2022. Study of non-point pollution in the Ashe River Basin based on SWAT model with different land use. Water. 14(14): 2177. DOI: 10.3390/w14142177 .

835. Chen, J., C. Gao, X. Zeng, M. Xiong, Y. Wang, C. Jing, V. Krysanova, J. Huang, N. Zhao and B. Su. 2017. Assessing changes of river discharge under global warming of 1.5 °C and 2 °C in the upper reaches of the Yangtze River Basin: Approach by using multiple- GCMs and hydrological models. Quaternary International. 453: 63-73. DOI: 10.1016/j.quaint.2017.01.017 .

836. Chen, J., L. Xiubin and Z. Ming. 2005. Simulating the impacts of climate variation and land-cover changes on basin hydrology: A case study of the Suomo basin. Science in China Series D: Earth Sciences. 48(9): 1501-1509. DOI: 10.1360/03yd0269 .

837. Chen, J., L. Zhang, P. Chen and Y. Ma. 2022. Application of spatially distributed calibrated hydrological model in evapotranspiration simulation of three gorges reservior area of China: A case study in the Madu River Basin. Chinese Geographical Science. 32(6): 1083-1098. DOI: 10.1007/s11769-022-1318-9 .

838. Chen, J., P. Zhong, C. Liu, Y. Shang and C. Cheng. 2016. Research on runoff restoration method based on SWAT Model: A case study in Dawenhe River Basin. Journal of China Hydrology. 36(6): 28-34. URL: http://sw.allmaga.net/sw/article/abstract/20160605.

839. Chen, J., R. Arsenault, F.P. Brissette, P. Côté and T. Su. 2019. Coupling annual, monthly and daily weather generators to simulate multisite and multivariate climate variables with low-frequency variability for hydrological modelling. Climate Dynamics. 53: 3841-3860. DOI: 10.1007/s00382-019-04750-z .

840. Chen, L., A. Zhu, C. Qin and J. Liu. 2012. Effectiveness assessment of soil erosion critical source areas for soil and water conservation. Journal of Resources and Ecology. 3(2): 138-143. DOI: 10.5814/j.issn.1674-764x.2012.02.005 .

841. Chen, L., G. Wang, Y. Zhong and Z. Shen. 2016. Evaluating the impacts of soil data on hydrological and nonpoint source pollution prediction. Science of the Total Environment. 563-564: 19-28. DOI: 10.1016/j.scitotenv.2016.04.107 .

842. Chen, L., G. Wang, Y. Zhong, X. Zhao and Z. Shen. 2016. Using site-specific soil samples as a substitution for improved hydrological and nonpoint source predictions. Environmental Science and Pollution Research. 23(16): 16037–16046. DOI: 10.1007/s11356-016-6789-8 .

843. Chen, L., G. Wei and Z. Shen. 2015. An auto-adaptive optimization approach for targeting nonpoint source pollution control practices. Scientific Reports. 5:15393. DOI: 10.1038/srep15393 .

844. Chen, L., G. Wei and Z. Shen. 2016. Incorporating water quality responses into the framework of best management practices optimization. Journal of Hydrology. 541(Part B): 1363–1374. DOI: 10.1016/j.jhydrol.2016.08.038 .

845. Chen, L., G. Wei, Y. Zhong, G. Wang and Z. Shen. 2014. Targeting priority management areas for multiple pollutants from non-point sources. Journal of Hazardous Materials. 280: 244–251. DOI: 10.1016/j.jhazmat.2014.08.012 .

846. Chen, L., J. Li, J. Xu, G. Liu, W. Wang, J. Jiang and Z. Shen. 2022. New framework for nonpoint source pollution management based on downscaling priority management areas. Journal of Hydrology. 606: 127433. DOI: 10.1016/j.jhydrol.2022.127433 .

847. Chen, L., J. Qiu, G. Wei and Z. Shen. 2015. A preference-based multi-objective model for the optimization of best management practices. Journal of Hydrology. 520: 356–366. DOI: 10.1016/j.jhydrol.2014.11.032 .

848. Chen, L., J. Xu, G. Wang and Z. Shen. 2019. Comparison of the multiple imputation approaches for imputing rainfall data series and their applications to watershed models. Journal of Hydrology. 572: 449-460. DOI: 10.1016/j.jhydrol.2019.03.025 .

849. Chen, L., J. Xu, G. Wang, H. Liu, L. Zhai, S. Li, C. Sun and Z. Shen. 2018. Influence of rainfall data scarcity on non-point source pollution prediction: Implications for physically based models. Journal of Hydrology. 562: 1-16. DOI: 10.1016/j.jhydrol.2018.04.044 .

850. Chen, L., S. Chen, S. Li and Z. Shen. 2019. Temporal and spatial scaling effects of parameter sensitivity in relation to non-point source pollution simulation. Journal of Hydrology. 571: 36-49. DOI: 10.1016/j.jhydrol.2019.01.045 .

851. Chen, L., S. Li, Y. Zhong and Z. Shen. 2018. Improvement of model evaluation by incorporating prediction and measurement uncertainty. Hydrology and Earth System Sciences. 22(8): 4145-4154. DOI: 10.5194/hess-22-4145-2018 .

852. Chen, L., Y. Dai, X. Zhi, H. Xie and Z. Shen. 2018. Quantifying nonpoint source emissions and their water quality responses in a complex catchment: A case study of a typical urban-rural mixed catchment. Journal of Hydrology. 559: 110-121. DOI: 10.1016/j.jhydrol.2018.02.034 .

853. Chen, L., Y. Gong and Z. Shen. 2016. Structural uncertainty in watershed phosphorus modeling: Toward a stochastic framework. Journal of Hydrology. 537: 36-44. DOI: 10.1016/j.jhydrol.2016.03.039 .

854. Chen, L., Y. Wang, N. Yang, K. Zhu, X. Yan, Z. Bai, L. Zhai and Z. Shen. 2023. Improving crop-livestock integration in China using numerical experiments at catchment and regional scales. Agriculture Ecosystems and Environment. 341: 108192. DOI: 10.1016/j.agee.2022.108192 .

855. Chen, L., Y. Zhong, G. Wei, Y. Cai and Z. Shen. 2014. Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale. Water Resources Research. 50(5): 4095-4109. DOI: 10.1002/2013WR015041 .

856. Chen, L., Z. Shen, X. Yang, Q. Liao and S.L. Yu. 2014. An Interval-Deviation Approach for hydrology and water quality model evaluation within an uncertainty framework. Journal of Hydrology. 509: 207–214. DOI: 10.1016/j.jhydrol.2013.11.043 .

857. Chen, M., C. Yang, T. Hou, G. Lu, Y. Wen, and S. Yue. 2018. Developing a data model for understanding geographical analysis models with consideration of their evolution and application processes. Transactions in GIS. 22: 1498-1521. DOI: 10.1111/tgis.12484 .

858. Chen, M., P.W. Gassman, R. Srinivasan, Y. Cui and R. Arritt. 2020. Analysis of alternative climate datasets and evapotranspiration methods for the Upper Mississippi River Basin using SWAT within HAWQS. Science of the Total Environment. 720: 137562. DOI: 10.1016/j.scitotenv.2020.137562 .

859. Chen, M., S. Yue, G. Lü, H. Lin, C. Yang, Y. Wen, T. Hou, D. Xiao and H. Jiang. 2019. Teamwork-oriented integrated modeling method for geo-problem solving. Environmental Modelling & Software. 119: 111-123. DOI: 10.1016/j.envsoft.2019.05.015 .

860. Chen, M., Y. Cui, P.W. Gassman and R. Srinivasan. 2021. Effect of Watershed Delineation and Climate Datasets density on runoff predictions for the Upper Mississippi River Basin using SWAT within HAWQS. Water. 13(4): 422. DOI: 10.3390/w13040422 .

861. Chen, P. and W. Li. 2022. Assessing reservoir effect on water quality in the Missouri River Basin using the Soil and Water Assessment Tool (SWAT) model. River Research and Applications. 38: 1775–1786. DOI: 10.1002/rra.4044 .

862. Chen, P., W. Li and K. He. 2022. Impacts of different types of El Niño events on water quality over the Corn Belt, United States. Hydrology and Earth System Sciences. 26(19): 4875-4892. DOI: 10.5194/hess-26-4875-2022 .

863. Chen, P., Y. Yuan, W. Li, S.D. LeDuc, T.J. Lark, X. Zhang and C. Clark. 2021. Assessing the impacts of recent crop expansion on water quality in the Missouri River Basin Using the Soil and Water Assessment Tool. Journal of Advances in Modeling Earth Systems. 13: e2020MS002284. DOI: 10.1029/2020MS002284 .

864. Chen, Q., H. Chen, J. Wang, Y. Zhao, J. Chen and C. Xu. 2019. Impacts of climate change and land-use change on hydrological extremes in the Jinsha River Basin. Water. 11(7): 1398. DOI: 10.3390/w11071398 .

865. Chen, Q., H. Chen, J. Zhang, Y. Hou, M. Shen, J. Chen and C. Xu. 2020. Impacts of climate change and LULC change on runoff in the Jinsha River Basin. Journal of Geographical Sciences. 30(1): 85-102. DOI: 10.1007/s11442-020-1716-9 .

866. Chen, S., L. Chen, X. Liu, Y. Pan, F. Zhou, J. Guo, T. Huang, F. Chen and Z. Shen. 2022. Unexpected nitrogen flow and water quality change due to varying atmospheric deposition. Journal of Hydrology. 609: 127679. DOI: 10.1016/j.jhydrol.2022.127679 .

867. Chen, W., D. Nover, H. Yen, Y. Xia, B. He, W. Sun and J. Viers. 2020. Exploring the multiscale hydrologic regulation of multipond systems in a humid agricultural catchment. Water Research. 184: 115987. DOI: 10.1016/j.watres.2020.115987 .

868. Chen, X. and G. Huang. 2020. Applicability and hydrologic substitutability of TMPA satellite precipitation product in the Feilaixia Catchment, China. Water. 12(6): 1803. DOI: 10.3390/w12061803 .

869. Chen, X., B. Xu, Y. Zheng and C. Zhang. 2019. Nexus of water, energy and ecosystems in the Upper Mekong River: A system analysis of phosphorus transport through cascade reservoirs. Science of the Total Environment. 671: 1179-1191. DOI: 10.1016/j.scitotenv.2019.03.324 .

870. Chen, X., C. Bing and W. Hongjing. 2014. Parameter uncertainty analysis of surface flow and sediment yield in the Huolin Basin, China. Journal of Hydrologic Engineering. 19(6): 1224-1236. DOI: 10.1061/(ASCE)HE.1943-5584.0000909 .

871. Chen, X., F. Li, J.-z. Li and P. Feng. 2019. Three-dimensional identification of hydrological drought and multivariate drought risk probability assessment in the Luanhe River Basin, China. Theoretical and Applied Climatology. DOI: 10.1007/s00704-019-02780-5 .

872. Chen, X., F.-W. Li, Y.-X. Wang, P. Feng and R.-Z. Yang. 2019. Evolution properties between meteorological, agricultural and hydrological droughts and their related driving factors in the Luanhe River Basin, China. Hydrology Research. 50(4): 1096-1119. DOI: 10.2166/nh.2019.141 .

873. Chen, X., G. Xu, W. Zhang, H. Peng, H. Xia, X. Zhang, Q. Ke and J. Wan. 2019. Spatial variation pattern analysis of hydrologic processes and water quality in Three Gorges Reservoir Area. Water. 11(12): 2608. DOI: 10.3390/w11122608 .

874. Chen, X., K. Alizad, D. Wang and S.C. Hagen. 2014. Climate change impact on runoff and sediment loads to the Apalachicola River at seasonal and event scales. Journal of Coastal Research. 68: 35-42. DOI: 10.2112/SI68-005.1 .

875. Chen, X., R. Han, P. Feng and Y. Wang. 2022. Combined effects of predicted climate and land use changes on future hydrological droughts in the Luanhe River Basin, China. Natural Hazards. 110(2): 1305-1337. DOI: 10.1007/s11069-021-04992-3 .

876. Chen, X., W. Chen and G. Huang. 2021. Future climatic projections and hydrological responses in the Upper Beijiang River Basin of south China using bias-corrected RegCM 4.6 data. JGR Atmospheres. 126(19): e2021JD034550. DOI: 10.1029/2021JD034550 .

877. Chen, X., Y. Liu, J. Zhang, T. Guan, Z. Sun, J. Jin, C. Liu, G. Wang and Z. Bao. 2022. Quantify runoff reduction in the Zhang River due to water diversion for irrigation. Water. 14(12): 1918. DOI: 10.3390/w14121918 .

878. Chen, Y. and M. Nakatsugawa. 2021. Analysis of changes in land use/land cover and hydrological processes caused by earthquakes in the Atsuma River Basin in Japan. Sustainability. 13(23): 13041. DOI: 10.3390/su132313041 .

879. Chen, Y. J. Shuai, Z. Zhang, P. Shi and F. Tao. 2013. Simulating the impact of watershed management for surface water quality protection: A case study on reducing inorganic nitrogen load at a watershed scale. Ecological Engineering. 62: 61-70. DOI: 10.1016/j.ecoleng.2013.10.023 .

880. Chen, Y., C.-Y. Xu, X. Chen, Y. Xu, Y. Yin, L. Gao and M. Liu. 2019. Uncertainty in simulation of land-use change impacts on catchment runoff with multi-timescales based on the comparison of the HSPF and SWAT models. Journal of Hydrology. 573: 486-500. DOI: 10.1016/j.jhydrol.2019.03.091 .

881. Chen, Y., G.W. Marek, T.H. Marek, D.K. Brauer and R. Srinivasan. 2017. Assessing the efficacy of the SWAT auto-irrigation function to simulate irrigation, evapotranspiration, and crop response to management strategies of the Texas High Plains. Water. 9(7): 509. DOI: 10.3390/w9070509 .

882. Chen, Y., G.W. Marek, T.H. Marek, J.E. Moorhead, K.R. Heflin, D.K. Brauer, P.H. Gowda and R. Srinivasan. 2018. Assessment of alternative agricultural land use options for extending the availability of the Ogallala Aquifer in the northern high plains of Texas. Hydrology. 5(4): 53. DOI: 10.3390/hydrology5040053 .

883. Chen, Y., G.W. Marek, T.H. Marek, D.K. Brauer and R. Srinivasan. 2018. Improving SWAT auto-irrigation functions for simulating agricultural irrigation management using long-term lysimeter field data. Environmental Modelling & Software. 99: 25-38. DOI: 10.1016/j.envsoft.2017.09.013 .

884. Chen, Y., G.W. Marek, T.H. Marek, Q. Xue, D.K. Brauer and R. Srinivasan. 2019. Assessing soil and water assessment tool plant stress algorithms using full and deficit irrigation treatments. Agronomy Journal. 111(3): 1266-1280. DOI: 10.2134/agronj2018.09.0556 .

885. Chen, Y., G.W. Marek, T.H. Marek, P.H. Gowda, Q. Xue, J.E. Moorhead, D.K. Brauer, R. Srinivasan and K.R. Heflin. 2019. Multisite evaluation of an improved SWAT irrigation scheduling algorithm for corn (Zea mays L.) production in the U.S. Southern Great Plains. Environmental Modelling & Software. 118: 23-34. DOI: 10.1016/j.envsoft.2019.04.001 .

886. Chen, Y., G.W. Marek, T.H. Marek, D.O. Porter, J.E. Moorhead, K.R. Heflin, D.K. Brauer and R. Srinivasan. 2020. Watershed scale evaluation of an improved SWAT auto-irrigation function. Environmental Modelling & Software. 131: 104789. DOI: 10.1016/j.envsoft.2020.104789 .

887. Chen, Y., G.W. Marek, T.H. Marek, D.O. Porter, D.K. Brauer and R. Srinivasan. 2021. Modeling climate change impacts on blue, green, and grey water footprints and crop yields in the Texas High Plains, USA. Agricultural and Forest Meteorology. 310: 108649. DOI: 10.1016/j.agrformet.2021.108649 .

888. Chen, Y., G.W. Marek, T.H. Marek, D.O. Porter, D.K. Brauer and R. Srinivasan. 2021. Simulating the effects of agricultural production practices on water conservation and crop yields using an improved SWAT model in the Texas High Plains, USA. Agricultural Water Management. 244: 1065. DOI: 10.1016/j.agwat.2020.106574 .

889. Chen, Y., M. Nakatsugawa and H. Ohashi. 2021. Research of impacts of the 2018 Hokkaido Eastern Iburi Earthquake on sediment transport in the Atsuma River Basin using the SWAT model. Water. 13(3): 356. DOI: 10.3390/w13030356 .

890. Chen, Y., S. Ale, N. Rajan and C. Munster. 2017. Assessing the hydrologic and water quality impacts of biofuel-induced changes in land use and management. Global Change Biology Bioenergy. 9(9): 1461-1475. DOI: 10.1111/gcbb.12434 .

891. Chen, Y., S. Ale, N. Rajan and R. Srinivasan. 2017. Modeling the effects of land use change from cotton (Gossypium hirsutum L.) to perennial bioenergy grasses on watershed hydrology and water quality under changing climate. Agricultural Water Management. 192: 198-208. DOI: 10.1016/j.agwat.2017.07.011 .

892. Chen, Y., S. Ale, N. Rajan, C.L.S. Morgan and J. Park. 2016. Hydrological responses of land use change from cotton (Gossypium hirsutum L.) to cellulosic bioenergy crops in the Southern High Plains of Texas, USA. Global Change Biology Bioenergy. 8(5): 981–999. DOI: 10.1111/gcbb.12304 .

893. Chen, Y., X. Chen, C.-Y. Xu, M. Zhang, M. Liu and L. Gao. 2018. Toward improved calibration of SWAT using season-based multi-objective optimization: A case study in the Jinjiang Basin in southeastern China. Water Resources Management. 32(4): 1193–1207. DOI: 10.1007/s11269-017-1862-8 .

894. Chen, Y., X. Song, Z. Zhang, P. Shi and F. Tao. 2015. Simulating the impact of flooding events on non-point source pollution and the effects of filter strips in an intensive agricultural watershed in China. Limnology. 16(2): 91-101. DOI: 10.1007/s10201-014-0443-2 .

895. Chen, Y., Y. Xu and X. Chen. 2011. Hydrologic response to future urbanization in small or medium basins in the Yangtze River Delta region. Resources Science. 33(1): 64-69. URL: https://www.resci.cn/EN/Y2011/V33/I1/64.

896. Chen, Z., R. Zhu, Z. Yin, Q. Feng, L. Yang, L. Wang, R. Lu and C. Fang. 2022. Hydrological response to future climate change in a mountainous watershed in the northeast of Tibetan Plateau. Journal of Hydrology: Regional Studies. 44: 101256. DOI: 10.1016/j.ejrh.2022.101256 .

897. Cheng K., X. Xu, L. Cui, Y. Li, J. Zheng, W. Wu, J. Sun and G. Pan. 2021. The role of soils in regulation of freshwater and coastal water quality. Philosophical Transactions of the Royal Society B: Biological Sciences. 376: 20200176. DOI: 10.1098/rstb.2020.0176 .

898. Cheng, C., Y.C.E. Yang, R. Ryan, Q. Yu and E. Brabec. 2017. Assessing climate change-induced flooding mitigation for adaptation in Boston’s Charles River watershed, USA. Landscape and Urban Planning. 167: 25-36. DOI: 10.1016/j.landurbplan.2017.05.019 .

899. Cheng, D., H. Li, W. Zhang, S.G. Pueppke, J. Pang and Y. Diao. 2020. Spatiotemporal dynamics of nitrogen transport in the Qiandao Lake Basin, a large hilly monsoon basin of southeastern China. Water. 12(4): 1075. DOI: 10.3390/w12041075 .

900. Cheng, H., F. Hao, X. Ren, S. Yang, W. Xiong and S. Lei. 2008. Loss coefficient of nitrogenous non-point source pollution under various precipitation conditions. Frontiers of Environmental Science & Engineering in China. 26(3): 392-397. DOI: 10.1007/s11783-008-0043-7 .

901. Cheng, H., W. Ouyang, F. Hao, X. Ren, and S. Yang. 2006. The non-point source pollution in livestock-breeding areas of the Heihe River basin in Yellow River. Stochastic Environmental Research and Risk Assessment. 21(3): 213-221. DOI: 10.1007/s00477-006-0057-2 .

902. Cheng, J., Y. Gong, D.Z. Zhu, M. Xiao, Z. Zhang, J. Bi and K. Wang. 2021. Modeling the sources and retention of phosphorus nutrient in a coastal river system in China using SWAT. Journal of Environmental Management. 278(Part 2): 111556. DOI: 10.1016/j.jenvman.2020.111556 .

903. Cheng, L., G. Wan, M. Yang, X. Wang and Y. Li. 2022. The runoff in the Upper Taohe River Basin and its responses to climate change. Water. 14(13): 2094. DOI: 10.3390/w14132094 .

904. Cheng, M., Y. Wang, B. Engel, W. Zhang, H. Peng, X. Chen and H. Xia. 2017. Performance assessment of spatial interpolation of precipitation for hydrological process simulation in Three Gorges Basin. Water. 9(11): 836. DOI: 10.3390/w9110838 .

905. Cheng, Q., X. Chen, C. Xu, C. Reinhardt-Imjela and A. Schulte. 2014. Improvement and comparison of likelihood functions for model calibration and parameter uncertainty analysis within a Markov chain Monte Carlo scheme. Journal of Hydrology. 519(Part B): 2202–2214. DOI: 10.1016/j.jhydrol.2014.10.008 .

906. Cheng, Q.-B., X. Chen, C.-Y. Xu, Z.-C. Zhang, C. Reinhardt-Imjela and A. Schulte. 2018. Using maximum likelihood to derive various distance-based goodness-of-fit indicators for hydrologic modeling assessment. Stochastic Environmental Research and Risk Assessment. 32: 949-966. DOI: 10.1007/s00477-017-1507-8 .

907. Cheng, Q.-B., X. Chen, J. Wang, Z.-C. Zhang, R.-R. Zhang, Y.-Y. Xie, C. Reinhardt-Imjela and A. Schulte. 2018. The use of river flow discharge and sediment load for multi-objective calibration of SWAT based on the Bayesion inference. Water. 10(11): 1662. DOI: 10.3390/w10111662 .

908. Cheng, Q-B., C. Reinhardt-Imjela, X. Chen, A. Schulte, X. Ji and F-L. Lie. 2016. Improvement and comparison of the rainfall-runoff methods in SWAT at the monsoonal watershed of Baocun, Eastern China. Hydrological Sciences Journal. 61(8): 1460-1476. DOI: 10.1080/02626667.2015.1051485 .

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959. Choi, H.S. 2013. Parameter estimation of SWAT model using SWAT-CUP in Seom-River Experimental Watershed. Journal of the Korean Society of Civil Engineers. 33(2): 529-536. DOI: 10.12652/Ksce.2013.33.2.529 .

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1179. de Oliveira Serrão, E.A., M.T. Silva, T.R. Ferreira, L.C.P. de Ataide, R.T. S. Wanzeler, V. de P.R. da Silva, A.M.M. de Lima and F. de A.S. de Sousa. 2021. Large-Scale hydrological modelling of flow and hydropower production, in a Brazilian watershed. Ecohydrology & Hydrobiology. 21(1): 23-35. DOI: 10.1016/j.ecohyd.2020.09.002 .

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1188. de Souza Viana, J.F., S.M.G.L. Montenegro, B.B. da Silva, R.M. da Silva and W. dos Santos Sousa. 2018. Hydrological modeling of the Pirapama River-PE Basin using the SWAT model. Journal of Environmental Analysis and Progress. 3(1): 155-172. DOI: 10.24221/jeap.3.1.2018.1709.155-172 .

1189. de Souza Viana, J.F., S.M.G.L. Montenegro, B.B. da Silva, R.M. da Silva, R. Srinivasan, C.A.G. Santos, D.C. dos Santos Araujo and C.G. Tavares. 2021. Evaluation of gridded meteorological datasets and their potential hydrological application to a humid area with scarce data for Pirapama River Basin, northeastern Brazil. Theoretical and Applied Climatology. 145(1-2): 393-410. DOI: 10.1007/s00704-021-03628-7 .

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2351. Jayaprathiga, M., R. Cibin and K.P. Sudheer. 2022. Reliability of hydrology and water quality simulations using global scale datasets. Journal of the American Water Resources Association. 58(3): 453–470. DOI: 10.1111/1752-1688.13006 .

2352. Jeet, P., D.K. Singh and A. Sarangi. 2019. Development of a composite hydrologic index for semi-arid region of India. Groundwater. 57(5): 749-755. DOI: 10.1111/gwat.12867 .

2353. Jeet, P., D.K. Singh, A. Sarangi, S.S. Mali and A.K. Singh. 2021. Delineation of potential water harvesting site for agriculture water planning in Betwa Basin of India using geospatial and analytical hierarchical process technique. Geocarto International. DOI: 10.1080/10106049.2021.2000647 .

2354. Jefrizon, M. Fauzi and Nurdin. 2021. Pengaruh perubahan Tutupan Lahan Terhadap Ailiran Permukaan Pada Sub DAS Kampar Kanan. Jurnal Rab Contruction Research . 6(1): 22-38. DOI: 10.36341/racic.v6i1.1540 .

2355. Jeitany, J.E., T. Pacetti and E. Caporali. 2023. Evaluating climate change effects on hydrological functionality and water-related ecosystem services. Ecohydrology. 17(4): e2557. DOI: 10.1002/eco.2557 .

2356. Jeon, D.J., M. Ligaray, M. Kim, G. Kim, G. Lee, Y.A. Pachepsky, D.-H. Cha and K.H. Cho. 2019. Evaluating the influence of climate change on the fate and transport of fecal coliform bacteria using the modified SWAT model. Science of the Total Environment. 658: 753-762. DOI: 10.1016/j.scitotenv.2018.12.213 .

2357. Jeon, D.J., S.J. Ki, Y. Cha, Y. Park and J.H. Kim. 2018. New methodology of evaluation of best management practices performances for an agricultural watershed according to the climate change scenarios: A hybrid use of deterministic and decision support models. Ecological Engineering. 119: 73-82. DOI: 10.1016/j.ecoleng.2018.05.006 .

2358. Jeon, D.J., Y.A. Pachepsky, B. Kim and J.H. Kim. 2019. New methodology to develop high-resolution rainfall data using weather radar for watershed-scale water quality model. Desalination and Water Treatment. 138: 248-256. DOI: 10.5004/dwt.2019.23344 .

2359. 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 .

2360. 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 .

2361. Jeong, H., H. Kim, T. Jang and S. Park. 2016. Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River Watershed in Korea using the SWAT model. Agricultural Water Management. 163: 393-402. DOI: 10.1016/j.agwat.2015.08.018 .

2362. 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 .

2363. 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 .

2364. Jeong, J., J. Yang, S. Han, Y.-S. Seo and Y. Hong. 2020. Assessment of coupled hydrologic and biogeochemical Hg cycles in a temperate forestry watershed using SWAT-Hg. Environmental Modelling & Software. 126: 104644. DOI: 10.1016/j.envsoft.2020.104644 .

2365. Jeong, J., K. Wagner, J.J. Flores, T. Cawthon, Y. Her, J. Osorio and H. Yen. 2018. Linking watershed modeling and bacterial source tracking to better assess E. coli sources. Science of the Total Environment. 648: 164-175. DOI: 10.1016/j.scitotenv.2018.08.097 .

2366. 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 .

2367. 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 .

2368. Jeong, J., N. Kannan, J.G. Arnold, R. Glick, L. Gosselink, 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 .

2369. 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 .

2370. 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 .

2371. Jepsen, S.M., T.C. Harmon and B. Guan. 2021. Analyzing the suitability of remotely sensed ET for calibrating a watershed model of a Mediterranean montane forest. Remote Sensing. 13(7): 1258. DOI: 10.3390/rs13071258 .

2372. Jepsen, S.M., T.C. Harmon, D.L. Ficklin, N.P. Molotch and B. Guan. 2018. Evapotranspiration sensitivity to air temperature across a snow-influenced watershed: Space-for-time substitution versus integrated watershed modeling. Journal of Hydrology. 556: 645-659. DOI: 10.1016/j.jhydrol.2017.11.042 .

2373. Jepsen, S.M., T.C. Harmon, S. Sadro, B. Reid and S. Chandra. 2019. Water residence time (age) and flow path exert synchronous effects on annual characteristics of dissolved organic carbon in terrestrial runoff. Science of the Total Environment. 656: 1223-1237. DOI: 10.1016/j.scitotenv.2018.11.392 .

2374. Jeyrani, F., S. Morid and R. Srinivasan. 2021. Assessing basin blue–green available water components under different management and climate scenarios using SWAT. Agricultural Water Management. 256: 107074. DOI: 10.1016/j.agwat.2021.107074 .

2375. 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 .

2376. Jha, M., B.A. Babcock, P.W. Gassman and C.L. Kling. 2009. Economic and environmental impacts of alternative energy crops. International Agricultural Engineering Journal. 18(03-04): 15-23. URL: https://www.researchgate.net/publication/298016857_Economic_and_environmental_impacts_of_alternative_energy_crops.

2377. 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 .

2378. 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 .

2379. 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 .

2380. 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 .

2381. Jha, M., S. Rabotyagov and P.W. Gassman. 2009. Optimal placement of conservation practices using genetic algor