SWAT Literature Database for Peer-Reviewed Journal Articles

Citations List by Author

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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., 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 .

8. 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.

9. 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 .

10. 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 .

11. 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 .

12. 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 .

13. 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 .

14. 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 .

15. 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.

16. 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 .

17. 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.

18. 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 .

19. 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.

20. 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 .

21. 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 .

22. 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 .

23. 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 .

24. 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 .

25. 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 .

26. 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 .

27. 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 .

28. 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 .

29. 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 .

30. 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 .

31. 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.

32. 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 .

33. 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 .

34. 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 .

35. 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 .

36. 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 .

37. 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 .

38. 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 .

39. 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 .

40. 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 .

41. 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 .

42. 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.

43. 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 .

44. 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 .

45. 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 .

46. 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 .

47. 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 .

48. 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 .

49. 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 .

50. 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 .

51. 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 .

52. 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 .

53. 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 .

54. 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 .

55. 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 .

56. 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 .

57. 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 .

58. 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 .

59. 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 .

60. 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 .

61. 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 .

62. 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 .

63. 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 .

64. 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 .

65. 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 .

66. 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 .

67. 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 .

68. 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 .

69. 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 .

70. 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 .

71. 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 .

72. 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 .

73. 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.

74. 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 .

75. 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 .

76. 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 .

77. 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 .

78. 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.

79. 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 .

80. 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 .

81. 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 .

82. 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 .

83. 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 .

84. 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 .

85. 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 .

86. 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 .

87. 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 .

88. Adnan, M., S. Kang, M. Saifullah, S. Liu, G. Zhang, Q. Zhao, M.A. Faiz and M. Zaman. 2021. Prediction of changes in water balance of Nam Co Lake under projected climate change scenarios. Hydrological Sciences Journal. 66(11): 1712-1727. DOI: 10.1080/02626667.2021.1957474 .

89. Adu, J.T. and M.V. Kumarasamy. 2018. Assessing non-point source pollution models: A review. Polish Journal of Environmental studies. 27(5): 1913-1922. DOI: 10.15244/pjoes/76497 .

90. Affuso, E. and L.M. Duzy. 2013. The impact of US biofuel policy on agricultural production and nitrogen loads in Alabama. Economics Research International. : 521254. DOI: 10.1155/2013/521254 .

91. Afifa, M., A. Dina, E.R. Syofyan and Wisafri. 2020. Mainstay discharge analysis at the bottom of the stem using the Soil Water Assessment Tool ( SWAT). Jurnal Ilmiah Poli Rekayasa. 16(1): 34-42. URL: http://jpr-pnp.com/index.php/jpr/article/view/191.

92. 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 .

93. Afshar, A.A. and Y. Hassanzadeh. 2017. Determination of monthly hydrological erosion severity and runoff in Torogh Dam watershed basin using SWAT and WEPP models. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 41(2): 221–228. DOI: 10.1007/s40996-017-0056-1 .

94. Afshar, A.A. and Y. Hassanzadeh. 2021. A hydrological toolkit to delineate patterns of blue and green water in a regional semi-arid climate in Iran via CMIP5 models. Időjárás. 125(2): 291–319. DOI: 10.28974/idojaras.2021.2.8 .

95. Afshar, A.A., Y. Hassanzadeh and A. Farrokhi. 2020. Study uncertainty of parameters of hydrological model (SWAT) by Differential Evolution Adaptive Metropolis algorithm (DREAM-ZS). Journal of Water and Soil Conservation. DOI: 10.22069/jwsc.2020.17856.3344 .

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307. 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 .

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809. 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 .

810. 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 .

811. 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 .

812. 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 .

813. 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 .

814. 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 .

815. 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 .

816. 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 .

817. 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 .

818. 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 .

819. 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 .

820. 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 .

821. 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 .

822. 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 .

823. 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 .

824. 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 .

825. 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 .

826. 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 .

827. 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 .

828. 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 .

829. 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 .

830. 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 .

831. 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 .

832. 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 .

833. 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 .

834. 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 .

835. 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 .

836. 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 .

837. 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 .

838. 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 .

839. 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 .

840. 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 .

841. 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 .

842. 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 .

843. 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 .

844. 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 .

845. 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 .

846. 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 .

847. 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 .

848. 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 .

849. 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 .

850. 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 .

851. 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 .

852. 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 .

853. 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 .

854. 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 .

855. 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: http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZRZY201101010.htm.

856. 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 .

857. 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 .

858. 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 .

859. 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 .

860. 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 .

861. 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 .

862. 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 .

863. 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 .

864. 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 .

865. 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 .

866. 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 .

867. 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 .

868. 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 .

869. Cheng, Y., J. Zhou, J. Liao, D. Mao, W. Chen and Z. Shan. 2020. Coupled modeling using PRZM/RICEWQ and SWAT for the North Tiaoxi Watershed. Environmental Science and Pollution Research. 27(11): 12635-12645. DOI: 10.1007/s11356-019-06418-x .

870. Cherkauer, K.A., L.C. Bowling, K. Byun, I. Chaubey, N. Chin, D.L. Ficklin, A.F. Hamlet, S.J. Kines, C.I. Lee, R. Neupane, G.W. Pignotti, S. Rahman, S. Singh, P.V. Femeena and T.N. Williamson. 2021. Climate change impacts and strategies for adaptation for water resource management in Indiana. Climatic Change. 165(1-2): 21. DOI: 10.1007/s10584-021-02979-4 .

871. Cherry, K.A., M. Shepherd, P.J.A. Withers and S.J. Mooney. 2008. Assessing the effectiveness of actions to mitigate nutrient loss from agriculture: A review of methods. Science of the Total Environment. 406: 1-23. DOI: 10.1016/j.scitotenv.2008.07.015 .

872. Chhuon, K., E. Herrera and K. Nadaoka. 2016. Application of integrated hydrologic and river basin management modeling for the optimal development of a multi-purpose reservoir project. Water Resources Management. 30(9): 3143-3157. DOI: 10.1007/s11269-016-1336-4 .

873. Chhuon, K., H. Lin, Y. Guo and A. Math. 2020. Impact assessment of land cover change on hydrology and suspended sediment in an upland watershed of Mekong River Basin in Cambodia, using ArcSWAT. International Journal of Advanced Science and Technology. 29(6): 6948-6956. URL: http://sersc.org/journals/index.php/IJAST/article/view/22447.

874. Chiang, L., I. Chaubey, M.W. Gitau and J.G. Arnold. 2010. Differentiating impacts of land use changes from pasture management in a CEAP watershed using the SWAT model. Transactions of the ASABE. 53(5): 1569-1584. DOI: 10.13031/2013.34901 .

875. Chiang, L.-C. and Y. Yuan. 2015. The NHDPlus dataset, watershed subdivision and SWAT model performance. Hydrological Sciences Journal. 60(10): 1690-1708. DOI: 10.1080/02626667.2014.916408 .

876. Chiang, L.-C., C.-J. Liao, C.-M. Lu and Y.-C. Wang. 2021. Applicability of modified SWAT model (SWAT‑Twn) on simulation of watershed sediment yields under different land use/cover scenarios in Taiwan. Environmental Monitoring and Assessment. 193(8): 520. DOI: 10.1007/s10661-021-09283-9 .

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879. Chiang, L.-C., Y. Yuan, M. Mehaffey, M. Jackson and I. Chaubey. 2014. Assessing SWAT's performance in the Kaskaskia River watershed as influenced by the number of calibration stations used. Hydrological Processes. 28(3): 676–687. DOI: 10.1002/hyp.9589 .

880. Chiang, L.-C., Y.-T. Chuang and C.-C. Han. 2019. Integrating landscape metrics and hydrologic modeling to assess the impact of natural disturbances on ecohydrological processes in the Chenyulan Watershed, Taiwan. International Journal of Environmental Research and Public Health. 16(2): 266. DOI: 10.3390/ijerph16020266 .

881. Chien, H., P.J.-F. Yeh and J.H. Knouft. 2013. Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States. Journal of Hydrology. 491: 73–88. DOI: 10.1016/j.jhydrol.2013.03.026 .

882. Chilkoti, V., T. Bolisetti and R. Balachandar. 2018. Multi-objective autocalibration of SWAT model for improved low flow performance for a small snowfed catchment. Hydrological Sciences Journal. 63(10): 1482-1501. DOI: 10.1080/02626667.2018.1505047 .

883. Chilkoti, V., T. Bolisetti and R. Balachandar. 2020. Investigating the role of hydrological model parameter uncertainties in future streamflow projections. Journal of Hydrologic Engineering. 25(10): 05020035. DOI: 10.1061/(ASCE)HE.1943-5584.0001994 .

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887. Chin, D.A. 2011. Quantifying pathogen sources in streams by hydrograph separation. Journal of Environmental Engineering. 137(9): 770-781. DOI: 10.1061/(ASCE)EE.1943-7870.0000394 .

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889. Chin, D.A., S.H. Fan and Y.C. Li. 2011. Validation of growth and nutrient uptake models for tomato on a gravelly South Florida soil under greenhouse conditions. Pedosphere. 21(1): 46-55. DOI: 10.1016/S1002-0160(10)60078-1 .

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893. Chiphang, N., A. Bandyopadhyay and B. Aditi. 2020. Assessing the effects of snowmelt dynamics on streamflow and water balance components in an eastern Himalayan river basin using SWAT model. Environmental Modeling & Assessment. 25(4): 861 - 863. DOI: 10.1007/s10666-020-09716-8 .

894. Chirachawala, C., S. Shrestha, M.S. Babel, S.G.P. Virdis and S. Wichakul. 2020. Evaluation of global land use/land cover products for hydrologic simulation in the Upper Yom River Basin, Thailand. Science of the Total Environment. 708: 135148. DOI: 10.1016/j.scitotenv.2019.135148 .

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896. Chiu, M.-C., L. Hunt and V.H. Resh. 2017. Climate-change influences on the response of macroinvertebrate communities to pesticide contamination in the Sacramento River, California watershed. Science of the Total Environment. 581–582: 741–749. DOI: 10.1016/j.scitotenv.2017.01.002 .

897. Chiu, Y. and M. Wu. 2014. Assessing county-level water footprints of different cellulosic-biofuel feedstock pathways. Environmental Science & Technology. 46: 9155-9162. DOI: 10.1021/es3002162 .

898. Cho, H. and F. Olivera. 2014. Application of multimodal optimization for uncertainty estimation of computationally expensive hydrologic models. Journal of Water Resources Planning and Management. 140(3): 313–321. DOI: 10.1061/(ASCE)WR.1943-5452.0000330 .

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901. Cho, J., D. Bosch, G. Vellidis, R. Lowrance and T. Strickland. 2013. Multi-site evaluation of hydrology component of SWAT in the coastal plain of southwest Georgia. Hydrological Processes. 27(12): 1-25. DOI: 10.1002/hyp.9341 .

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904. Cho, J., R.R. Lowrance, D.D. Bosch, T.C. Strickalnd, Y. Her and G. Vellidis. 2010. Effect of watershed subdivision and filter width on SWAT simulation of a coastal plain watershed. Journal of the American Water Resources Association. 46(3): 586-602. DOI: 10.1111/j.1752-1688.2010.00436.x .

905. Cho, J., S. Hwang, G. Go, K.-Y. Kim and J. Kim. 2015. Assessing the climate change impacts on agricultural reservoirs using the SWAT model and CMIP5 GCMs. Journal of the Korean Society of Agricultural Engineers. 57(5): 1-12. DOI: 10.5389/KSAE.2015.57.5.001 .

906. Cho, J., W. Jung, C.G. Kim, T.G. Kim. 2016. One-month lead dam inflow forecast using climate indices based on tele-connection. Journal of Korea Water Resources Association. 49(5): 361-372. DOI: 10.3741/JKWRA.2016.49.5.361 .

907. Cho, J., Y. Her and D. Bosch. 2016. Sensitivity of simulated conservation practice effectiveness to representation of field and in-stream processes in the Little River Watershed. Environmental Modeling & Assessment. 159-173: 22(2). DOI: 10.1007/s10666-016-9530-6 .

908. Cho, K.H., Y.A. Pachepsky, D.M. Oliver, R.W. Muirhead, Y. Park, R.S. Quilliam and D. Shelton. 2016. Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities. Water Research. 100: 38–56. DOI: 10.1016/j.watres.2016.04.064 .

909. Cho, K.H., Y.A. Pachepsky, J.H. Kim, J.-W. Kim and M.-H. Park. 2012. The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USA. Water Research. 46(15): 4750-4760. DOI: 10.1016/j.watres.2012.05.057 .

910. Cho, K.H., Y.A. Pachepsky, M. Kim, J.C. Pyo, M.-H. Park, Y.M. Kim, J.-W. Kim and J.H. Kim. 2016. Modeling seasonal variability of fecal coliform in natural surface waters using the modified SWAT. Journal of Hydrology. 535: 377-385. DOI: 10.1016/j.jhydrol.2016.01.084 .

911. Cho, S.J., P. Wilcock and B. Hobbs. 2018. Topographic filtering simulation model for sediment source apportionment. Geomorphology. 309: 1-19. DOI: 10.1016/j.geomorph.2018.02.014 .

912. Cho, S.M. and L.M. Lee. 2001. Sensitivity considerations when modeling hydrologic processes with digital elevation model. Journal of the American Water Resources Association. 37(4): 931-934. DOI: 10.1111/j.1752-1688.2001.tb05523.x .

913. Choi, D., H. Jun, H.S. Shin, Y.S. Yoon and S. Kim. 2010. The effect of climate change on Byeongseong stream's water quantity and quality. Desalination and Water Treatment. 19: 105-112. DOI: 10.5004/dwt.2010.1902 .

914. Choi, D., M.S. Keem, N.W. Kim and S. Kim. 2009. An analysis of the effect of climate change on Byeongseong Stream's hydrologic and water quality responses using CGCM's future climate information. Journal of the Korean Water Resources Association. 42(11): 921-931. DOI: 10.3741/JKWRA.2009.42.11.921 .

915. Choi, D.S., R.C. Ready and J.S. Shortle. 2020. Valuing water quality benefits from adopting best management practices: A spatial approach. Journal of Environmental Quality. 49: 582-592. DOI: 10.1002/jeq2.20005 .

916. Choi, H., W. Lee, C. Song, J.Y. Lee, S.W. Jeon and J.S. Kim. 2014. Applicability analysis of water provisioning services quantification model of forest ecosystem. Journal of the Korea Society of Environmental Restoration Technology. 17(4): 1-15. DOI: 10.13087/kosert.2014.17.4.1 .

917. 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 .

918. Choi, J.R. H.J. Jo, D.H. La and J.T. Kim. 2019. A study on drought prediction and diffusion of water supply intake source using SWAT model. Journal of the Korean Society of Civil Engineers. 39(6): 743-750. DOI: 10.12652/Ksce.2019.39.6.0743 .

919. Choi, J.-R., B.-S. Kim, D.-H. Kang and I.-M. Chung. 2022. Evaluation of water supply capacity of a small forested basin water supply facilities using SWAT model and flow recession curve. KSCE Journal of Civil Engineering. 26(8): 3665-3675. DOI: 10.1007/s12205-022-1075-4 .

920. Choi, J.R., I.M. Chung and H.J. Jo. 2019. A study on the establishment of water supply and demand monitoring system and drought response plan of small-scale water facilities. The Journal of Engineering Geology. 29(4): 469-481. DOI: 10.9720/kseg.2019.4.469 .

921. Choi, J.-R., I.-M. Chung, S.-J. Jeung, K.-S. Choo, C.-H. Oh and B.-S. Kim. 2021. Development and verification of the available number of water intake days in ungauged local water source using the SWAT model and flow recession curves. Water. 13(11): 1511. DOI: 10.3390/w13111511 .

922. Choi, Y., J. Kim, D.J. Lee, J. Han, G. Lee, M. Park, K. Kim and K.J. Lim. 2019. Analysis of baseflow using future land use and climate change scenario. Journal of the Korean Society of Agricultural Engineers. 61(1): 45-59. DOI: 10.5389/KSAE.2019.61.1.045 .

923. Choi, Y.H., J.C. Ryu, H.S. Hwang, D.H. Kum, Y.S. Park, Y.H. Jung, J.D. Choi and K.J. Lim. 2015. Analysis of pollutant load reduction efficiency with riparian buffer system using the SWAT-REMM. Journal of Korean Society on Water Environment. 31(2): 166-180. DOI: 10.15681/KSWE.2015.31.2.166 .

924. Choo, T., Y. Kim, Y. Kim and G. Yun. 2019. Analysis on dam operation effect and development of an function formula and automated model for estimating suitable site. Journal of Korea Water Resources Association. 52(3): 187-194. DOI: 10.3741/JKWRA.2019.52.3.187 .

925. Chordia, J., U.R. Panikkar, R. Srivastav and R.U. Shaik. 2022. Uncertainties in prediction of streamflows using SWAT model - Role of remote sensing and precipitation sources. Remote Sensing. 14(21): 5385. DOI: 10.3390/rs14215385 .

926. Choto, M. and A. Fetene. 2019. Impacts of land use/land cover change on stream flow and sediment yield of Gojeb Watershed, Omo-Gibe Basin, Ethiopia. Remote Sensing Applications: Society and Environment. 14: 84-99. DOI: 10.1016/j.rsase.2019.01.003 .

927. Chotpantarat, S. and S. Boonkaewwan. 2018. Impacts of land-use changes on watershed discharge and water quality in a large intensive agricultural area in Thailand. Hydrological Sciences Journal. 63(9): 1386-1407. DOI: 10.1080/02626667.2018.1506128 .

928. Choubin, B., K. Solaimani, F. Rezanezhad, M. Habibnejad Roshan, A. Malekian and S. Shamshirband. 2019. Streamflow regionalization using a similarity approach in ungauged basins: Application of the geo-environmental signatures in the Karkheh River Basin, Iran. Catena. 182: 104128. DOI: 10.1016/j.catena.2019.104128 .

929. Choudhary, R. and P. Athira. 2021. Effect of root zone soil moisture on the SWAT model simulation of surface and subsurface hydrological fluxes. Environmental Earth Sciences. 80: 620. DOI: 10.1007/s12665-021-09912-z .

930. Choukri, F., D. Raclot, M. Naimi, M. Chikhaoui, J.P. Nune, F. Huard, C. Hérivaux, M. Sabir and Y. Pepin. 2020. Distinct and combined impacts of climate and land use scenarios on water availability and sediment loads for a water supply reservoir in northern Morocco. International Soil and Water Conservation Research. 8: 141-153. DOI: 10.1016/j.iswcr.2020.03.003 .

931. Choukri, F., M. Chikhaoui, M. Naimi, Y. Pepin and D. Raclot. 2019. Analysis of the hydro-sedimentary functioning of Tleta Watershed of the Western Rif of Morocco using the SWAT model. Revue Marocaine des Sciences Agronomiques et Vétérinaires . 7(2): 304-312. URL: https://www.agrimaroc.org/index.php/Actes_IAVH2/article/view/695#sec-4.

932. Christanto, N., M.A. Setiawan, A. Nurkholis, S. Istiqomah, J. Sartohadi and M.P. Hadi. 2018. Analisis Laju Sedimen DAS Serayu Hulu dengan Menggunakan Model SWAT. Majalah Geograf Indonesia. 32: 50-58. DOI: 10.22146/mgi.32280 .

933. Christiansen, J.H. and M. Altaweel. 2006. Simulation of natural and social process interactions: An example from Bronze Age Mesopotamia. Social Science Computer Review. 24(2): 209-226. DOI: 10.1177/0894439305281500 .

934. Christopher, S.F., J.L. Tanka, U.H. Mahl, H.Yen, J.G. Arnold, M.T. Trentman, S.P. Sowa, M.E. Herbert, J.A. Ross, M.J. White and T.V. Royer. 2017. Modeling nutrient removal using watershed-scale implementation of the two-stage ditch. Ecological Engineering. 108(Part B): 358-369. DOI: 10.1016/j.ecoleng.2017.03.015 .

935. Christopher, S.F., S.H. Schoenholtz and J.E. Nettles. 2015. Water quantity implications of regional-scale switchgrass production in the southeastern U.S. Biomass & Bioenergy. 83: 50-59. DOI: 10.1016/j.biombioe.2015.08.012 .

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937. Chu, J., Y. Peng, W. Ding and Y. Li. 2015. A heuristic dynamically dimensioned search with sensitivity information (HDDS-S) and application to river basin management. Water. 7(5): 2214-2238. DOI: 10.3390/w7052214 .

938. Chu, T.W. and A. Shirmohammadi. 2004. Evaluation of the SWAT model’s hyrodology component in the piedmont physiographic region of Maryland. Transactions of the ASAE. 47(4): 1057-1073. DOI: 10.13031/2013.16579 .

939. Chu, T.W., A. Shirmohammadi, H. Montas and A. Sadeghi. 2004. Evaluation of the SWAT model’s sediment and nutrient components in the Piedmont Physiographic Region of Maryland. Transactions of the ASAE. 47(5): 1523-1538. URL: https://naldc.nal.usda.gov/download/9719/PDF.

940. Chu, X., Z. Lin, M.T. Nasab, L. Zeng, K. Grimm, M.H. Bazrkar, N. Wang, X. Liu, X. Zhang and H. Zheng. 2019. Macro-scale grid-based and subbasin-based hydrologic modeling: Joint simulation and cross-calibration. Journal of Hydroinformatics. 21(1): 77-91. DOI: 10.2166/hydro.2018.026 .

941. Chueh, Y.-Y., C. Fan and Y.-Z. Huang. 2021. Copper concentration simulation in a river by SWAT-WASP integration and its application to assessing the impacts of climate change and various remediation strategies. Journal of Environmental Management. 279: 111613. DOI: 10.1016/j.jenvman.2020.111613 .

942. Chun, J.A., J. Baik, D. Kim and M. Choi. 2018. A comparative assessment of SWAT-model-based evapotranspiration against regional-scale estimates. Ecological Engineering. 122: 1-9. DOI: 10.1016/j.ecoleng.2018.07.015 .

943. Chun, J.A., J. Baik, D. Kim and M. Choi. 2018. A comparitive assessment of SWAT-model-based evapotranspiration against regional-scale estimates. Ecological Engineering. 122: 1-9. DOI: 10.1016/j.ecoleng.2018.07.015 .

944. Chung, E.-S., P.J. Abdulai, H. Park, Y. Kim, S.R. Ahn and S.J. Kim. 2017. Multi-Criteria assessment of spatial robust water resource vulnerability using the TOPSIS method coupled with objective and subjective weights in the Han River Basin. Sustainability. 9(1): 29. DOI: 10.3390/su9010029 .

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947. Chung, I.-M., J. Lee, J.E. Lee and M.S. Kim. 2019. Method of estimating exploitable groundwater amount considering relationship between precipitation and recharge and the variation of 10-year minimum precipitation. Journal of Korea Water Resources Association. 52(6): 421-427. DOI: 10.3741/JKWRA.2019.52.6.421 .

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950. Chung, I.-M., N.W. Kim, H. Na, J. Lee, S. Yoo, J. Kim and S. Yang. 2011. Integrated surface-groundwater analysis for the Pyoseon region, Jeju Island in Korea. Applied Engineering in Agriculture. 27(6): 875-886. DOI: 10.13031/2013.40629 .

951. Chung, I.M., Y.J. Kim and N.W. Kim. 2021. Estimating the temporal distribution of groundwater recharge by using the transient water table fluctuation method and watershed hydrologic model. Transactions of the ASABE. 37(1): 95-104. DOI: 10.13031/aea.13376 .

952. Chung-Gil, J., J.-W. Lee, S.-R. Ahn, S.-J. Hwang and S.-J. Kim. 2016. Assessment of ecological streamflow for maintaining good ecological water environment. Journal of the Korean Society of Agricultural Engineers. 58(3): 1-12. DOI: 10.5389/KSAE.2016.58.3.001 .

953. Chunn, D., M. Faramarzi, B. Smerdon and D.S. Alessi. 2019. Application of an integrated SWAT–MODFLOW model to evaluate potential impacts of climate change and water withdrawals on groundwater–surface water interactions in west-central Alberta. Water. 11(1): 110. DOI: 10.3390/w11010110 .

954. Cianfrani, C.M., S Mazeika, P. Sullivan, W. Cully Hession and M.C. Watzin. 2012. A multitaxonomic approach to understanding local versus watershed-scale influences on stream biota in the Lake Champlain Basin, Vermont, USA. River Research and Applications. 28(7): 973-988. DOI: 10.1002/rra.1470 .

955. Cibin, R. and I. Chaubey. 2015. A computationally efficient approach for watershed scale spatial optimization. Environmental Modelling & Software. 66: 1-11. DOI: 10.1016/j.envsoft.2014.12.014 .

956. Cibin, R., I. Chaubey and B. Engel. 2012. Simulated watershed scale impacts of corn stover removal for biofuel on hydrology and water quality. Hydrological Processes. 26(11): 1629–1641. DOI: 10.1002/hyp.8280 .

957. Cibin, R., I. Chaubey, M. Helmers, K.P. Sudheer, M.J. White and J.G. Arnold. 2018. An improved representation of vegetative filter strips in SWAT. Transactions of the ASABE. 61(3): 1017-1024. DOI: 10.13031/trans.12661 .

958. Cibin, R., I. Chaubey, R.L. Muenich, K.A. Cherkauer, P.W. Gassman, C.L. Kling and Y. Panagopoulos. 2017. Influence of bioenergy crop production and climate change on ecosystem services. Journal of the American Water Resources Association. 53(6): 1323-1335. DOI: 10.1111/1752-1688.12591 .

959. Cibin, R., K.P. Sudheer and I. Chaubey. 2010. Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrological Processes. 24(9): 1133-1148. DOI: 10.1002/hyp.7568 .

960. Cibin, R., P. Athira, K. Sudheer and I. Chaubey. 2014. Application of distributed hydrological models for predictions in ungauged basins: A method to quantify predictive uncertainty. Hydrological Processes. 28(4): 2033–2045. DOI: 10.1002/hyp.9721 .

961. Cibin, R., Trybula, E., Chaubey, I., Brouder, S. and J.J. Volenec. 2016. Watershed scale impacts of bioenergy crops on hydrology and water quality using improved SWAT model. Global Change Biology Bioenergy. 8(4): 837-848. DOI: 10.1111/gcbb.12307 .

962. Clark, N., J.-C. Bizimana, Y. Dile, A. Worqlul, J. Osorio, B. Herbst, J.W. Richardson, R. Srinivasan, T.J. Gerik, J. Williams, C.A. Jones and J. Jeong. 2017. Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS). Agricultural Water Management. 180(Part B): 267–279. DOI: 10.1016/j.agwat.2016.07.023 .

963. Clemow, Y.H., G.E. Manning, R.L. Breton, M.F. Winchell, L. Padilla, S.I. Rodney, J.P. Hanzas, T.L. Estes, K. Budreski, B. N. Toth., K. L. Hill, C.D. Priest, R.S. Teed, L.D. Knopper, D.R.J. Moore, C.T. Stone and P. Whatling. 2019. A refined ecological risk assessment for California red-legged frog, delta smelt and California tiger salamander exposed to malathion in California. Integrated Environmental Assessment and Management. 14(2): 224-239. DOI: 10.1002/ieam.2002 .

964. Coffey, M.E., S.R. Workman, J.L. Taraba and A.W. Fogle. 2004. Statistical procedures for evaluating daily and monthly hydrologic model predictions. Transactions of the ASAE. 47(1): 59-68. DOI: 10.13031/2013.15870 .

965. Coffey, R., B. Benham, M.L. Wolfe, S. Dorai-Raj, N. Bhreathnach, V. O'Flaherty, M. Cormican and E. Cummins. 2016. Sensitivity of streamflow and microbial water quality to future climate and land use change in the West of Ireland. Regional Environmental Change. 16(7): 2111–2128. DOI: 10.1007/s10113-015-0912-0 .

966. Coffey, R., E. Cummins, M. Cormican, V.O. Flaherty and S. Kelly. 2007. Microbial exposure assessment of waterborne pathogens. Human and Ecological Risk Assessment: An International Journal. 13(6): 1313-1351. DOI: 10.1080/10807030701655582 .

967. Coffey, R., E. Cummins, N. Breathnach, V.O. Glaherty and M. Cormican. 2010. Development of a pathogen transport model for Irish catchments using SWAT. Agricultural Water Management. 97(1): 101-111. DOI: 10.1016/j.agwat.2009.08.017 .

968. Coffey, R., E. Cummins, V. O' Flaherty and M. Cormican. 2010. Analysis of the soil and water assessment tool (SWAT) to model Cryptosporidium in surface water sources. Biosystems Engineering. 106(3): 303-314. DOI: 10.1016/j.biosystemseng.2010.04.003 .

969. Coffey, R., E. Cummins, V. O'Flaherty and M. Comican. 2010. Pathogen sources estimation and scenario analysis using the Soil and Water Assessment Tool (SWAT). Human and Ecological Risk Assessment: An International Journal. 16(4): 913-933. DOI: 10.1080/10807039.2010.502051 .

970. Coffey, R., S. Dorai-Raj, V. O’Flaherty, M. Cormican, and E. Cummins. 2013. Modeling of pathogen indicator organisms in a small-scale agricultural catchment using SWAT. Human and Ecological Risk Assessment: An International Journal. 19(1): 232-233. DOI: 10.1080/10807039.2012.701983 .

971. Cohen Liechti, T., J.P. Matos, D. Ferras Segura, J.-L. Boillat and A.J. Schleiss. 2014. Hydrological modeling of the Zambezi River Basin taking into account floodplain behavior by a modified reservoir approach. International Journal of River Basin Management. 12(1): 29-41. DOI: 10.1080/15715124.2014.880707 .

972. Collender, P.A., O.C. Cooke, L.D. Bryant, T.R. Kjeldsen and J.V. Remais. 2016. Estimating the microbiological risks associated with inland flood events: Bridging theory and models of pathogen transport. Critical Reviews in Environmental Science and Technology. 46(23-24): 1787-1833. DOI: 10.1080/10643389.2016.1269578 .

973. Collick, A.S., D.R. Fuka, P.J.A. Kleinman, A.R. Buda, J.L. Weld, M.J. White, T.L. Veith, R.B. Bryant, C.H.Bolster and Z.M. Easton. 2015. Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model. Hydrological Processes. 29(4): 588-601. DOI: 10.1002/hyp.10178 .

974. Collick, A.S., T.L. Veith, D.R. Fuka, P.J.A. Kleinman, A.R. Buda, J.L. Weld, R.B. Bryant, P.A. Vadas, M.J. White, R.D. Harmel and Z.M. Easton. 2016. Improved simulation of edaphic and manure phosphorus loss in SWAT. Journal of Environmental Quality. 45(4): 1215-1225. DOI: 10.2134/jeq2015.03.0135 .

975. Comin, F.A., R. Sorando, N. Darwiche-Criado, M. Garcia and A. Masip. 2014. A protocol to prioritize wetland restoration and creation for water quality improvement in agricultural watersheds. Ecological Engineering. 66: 10–18. DOI: 10.1016/j.ecoleng.2013.04.059 .

976. Conan, C., F. Bouraoui, N. Turpin, G. de Marsily and G. Bidoglio. 2003. Modeling flow and nitrate fate at catchment scale in Brittany (France). Journal of Environmental Quality. 32(6): 2026-2032. DOI: 10.2134/jeq2003.2026 .

977. Conan, C., G. de Marsily, F. Bouraoui and G. Bidoglio. 2003. A long-term hydrological modelling of the Upper Guadiana river basin (Spain). Physics and Chemistry of the Earth. 28(4-5): 193-200. DOI: 10.1016/S1474-7065(03)00025-1 .

978. Confesor, R.B. Jr. and G.W. Whittaker. 2007. Automatic calibration of hydrologic models with multi-objective evolutionary algorithm and pareto optimization. Journal of the American Water Resources Association. 43(4): 981-989. DOI: 10.1111/j.1752-1688.2007.00080.x .

979. Cong, W., X. Sun, H. Guo and R. Shan. 2020. Comparison of the SWAT and InVEST models to determine hydrological ecosystem service spatial patterns, priorities and trade-offs in a complex basin. Ecological Indicators. 112: 106089. DOI: 10.1016/j.ecolind.2020.106089 .

980. Conradt, T., H. Koch, F.F. Hattermann and F. Wechsung. 2012. Precipitation or evapotranspiration? Bayesian analysis of potentail error sources in the simulation of sub-basin discharges in the Czech Elbe River Basin. Regional Environmental Change. 12(3): 649-661. DOI: 10.1007/s10113-012-0280-y .

981. Conradt, T., H. Koch, F.F. Hattermann and F. Wechsung. 2012. Spatially differentiated management-revised discharge scenarios for an integrated analysis of multi-realisation climate and land use scenarios for the Elbe River Basin. Regional Environmental Change. 12(3): 633-648. DOI: 10.1007/s10113-012-0279-4 .

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983. Cools, J., S. Broekx, V. Vandenberghe, H. Sels, E. Meynaerts, P. Vercaemst, P. Seuntjens, S. Van Hulle, H. Wustenberghs, W. Bauwens and M. Huygens. 2011. Coupling a hydrological water quality model and an economic optimization model to set up a cost-effective emission reduction scenario for nitrogen. Environmental Modelling & Software. 26(1): 44-51. DOI: 10.1016/j.envsoft.2010.04.017 .

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987. Cordeiro, M.R.C., G. Lelyk, R. Krobel, G. Legesse, M. Faramarzi, M.B. Masud and T. McAllister. 2018. Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations. Earth System Science Data. 10: 1673-1686. DOI: 10.5194/essd-10-1673-2018 .

988. Corona, J., T. Doley, C. Griffiths, M. Massey, C. Moore, S. Muela, B. Rashleigh, W. Wheeler, S.D. Whitlock and J. Hewitt. 2020. An integrated assessment model for valuing water quality changes in the United States. Land Economics. 96(4): 478-492. DOI: 10.3368/wple.96.4.478 .

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1088. Dash, S.S., B. Sahoo and N.S. Raghuwanshi. 2019. A SWAT-Copula based approach for monitoring and assessment of drought propagation in an irrigation command. Ecological Engineering. 127: 417-430. DOI: 10.1016/j.ecoleng.2018.11.021 .

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1091. Dash, S.S., B. Sahoo and N.S. Raghuwanshi. 2022. An adaptive multi-objective reservoir operation scheme for improved supply-demand management. Journal of Hydrology. 615(Part A): 128718. DOI: 10.1016/j.jhydrol.2022.128718 .

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1104. de Andrade, C.W.L., S.M.G.L. Montenegro, J.R. de S. Lima, A.A. de A. Montenegro and A.G. Magalhães. 2017. Hydrological modeling on data scarcity in the Upper Mundaú Basin, northeast of Brazil. Journal of Environmental Analysis and Progress. 2(3): 227-238. DOI: 10.24221/jeap.2.3.2017.1443.227-238 .

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1106. de Andrade, C.W.L., S.M.G.L. Montenegro, A.A.A. Montenegro, J.R. de S. Lima, R. Srinivasan and C.A. Jones. 2019. Soil moisture and discharge modeling in a representative watershed in northeastern Brazil using SWAT. Ecohydrology & Hydrobiology. 19(2): 238-251. DOI: 10.1016/j.ecohyd.2018.09.002 .

1107. de Aragão, R., M.A.S. Cruz, J.R.A. de Amorim, L.C. Mendonça, E.E. de Figueiredo and V.S. Srinivasan. 2013. Sensitivity analysis of the parameters of the SWAT model and simulation of the hydrosedimentological processes in a watershed in the northeastern region of Brazil. Revista Brasileira de Ciência do Solo. 37: 1091-1102. URL: http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0100-06832013000400026&lng=en&nrm=iso&tlng=en.

1108. de Brauwere, A., N.K. Ouattara and P. Servais. 2014. Modeling fecal indicator bacteria concentrations in natural surface waters: A review. Critical Reviews in Environmental Science and Technology. 44: 2380-2453. DOI: 10.1080/10643389.2013.829978 .

1109. de Bruin, A., D. de Condappa, M. Mikhail, S.K. Tomer, M. Sekhar and J. Barron. 2012. Simulated water resource impacts and livelihood implications of stakeholder-developed scenarios in the Jaldhaka Basin, India. Water International. 37(4): 492-508. DOI: 10.1080/02508060.2012.708976 .

1110. de Carvalho Neto, J.G., V.S. Srinivasan and I.A.A. Rufino. 2011. Hydrosedimentological simulation, analyzing two dem, of two small sub-basins in the Paraibano Cariri using the SWAT Model. Revista Geográfica Acadêmica. 5(1): 48-58. URL: http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCAQFjAA&url=http%3A%2F%2Frga.ggf.br%2Findex.php%3Fjournal%3Drga%26page%3Darticle%26op%3DviewFile%26path%255B%255D%3D152%26path%255B%255D%3D93&ei=I8jXVNmSLsOrNsHcgcAH&usg=AFQjCNFjeSun3Y3-vuBP7k59YCBcEphZJQ&bvm=bv.85464276,d.eXY.

1111. de Carvalho Neto, J.G., V.S. Srinivasan and I.A.A. Rufino. 2011. Study of hypothetical scenarios in the Riacho dos Namorados watershed in Cariri Paraibano using SWAT model. Revista Geográfica Acadêmica. 5(2): 30-40. URL: http://rga.ggf.br/index.php?journal=rga&page=article&op=view&path[]=166&path[]=109.

1112. de Freitas, L.D., J.F.L. de Moraes, A.M. da Costa, L.L. Martin, B.M. Silva, J.C. Avanzi and A. Uezu. 2022. How far can nature-based solutions increase water supply resilience to climate change in one of the most important Brazilian watersheds? Earth. 3(3): 748-767. DOI: 10.3390/earth3030042 .

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1121. De Girolamo, A.M., F. Bouraoui, A. Buffagni, G. Pappagallo and A. Lo Porto. 2017. Hydrology under climate change in a temporary river system: Potential impact on water balance and flow regime. River Research and Applications. 33(7): 1219–1232. DOI: 10.1002/rra.3165 .

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1124. De Girolamo, A.M., P. Miscioscia, T. Politi and E. Barca. 2019. Improving grey water footprint assessment: Accounting for uncertainty. Ecological Indicators. 22: 822-833. DOI: 10.1016/j.ecolind.2019.03.040 .

1125. de Medeiros, I.C. and R.M. da Silva. 2014. Analise da erosao hidrica na regiao semiarida da paraiba usando o modelo SWAT acoplado a um sig. Geosciences. 33(3): 457-471.

1126. de Medeiros, I.C., J.F.C.B. da Costa Silva, R.M. Silva and C.A.G. Santos. 2018. Run-off-erosion modelling and water balance in the Epitácio Pessoa Dam River Basin, Paraíba State in Brazil. International Journal of Environmental Science and Technology. DOI: 10.1007/s13762-018-1940-3 .

1127. de Medelros, I.C., J.F.C.B. da Costa Silva and C.A.G. Santos. 2019. Run‑off–erosion modelling and water balance in the Epitácio Pessoa Dam River Basin, Paraíba State in Brazil. International Journal of Environmental Science and Technology. 16: 3035-3048. DOI: 10.1007/s13762-018-1940-3 .

1128. de Mello, C.R., L.D. Norton, L.C. Pinto, S. Beskow and N. Curi. 2016. Agricultural watershed modeling: A review for hydrology and soil erosion processes. Ciência e Agrotecnologia. 40(1): 7-25. DOI: 10.1590/S1413-70542016000100001 .

1129. de Mello, K., T.O. Randhir, R.A. Valente and C.V. Vettorazzi. 2017. Riparian restoration for protecting water quality in tropical agricultural watersheds. Ecological Engineering. 108: 519-529. DOI: 10.1016/j.ecoleng.2017.06.049 .

1130. de Melo Martins, M.S., C.A. Valera, M. Zanata, R.M.B. Santos, V.L. Abdala, F.A.L. Pacheco, L.F.S. Fernandes and T.C.T. Pissarra. 2021. Potential impacts of land use changes on water resources in a tropical headwater catchment. Water. 13(22): 3249. DOI: 10.3390/w13223249 .

1131. de Oliveira Serrão, E.A., M.T. Silva, T.R. Ferreira, V.P.R. Silva, F.A.S. Sousa, A.M.M. Lima, L.C.P Ataide and R.T.S. Wanzeler. 2020. Land use change scenarios and their effects on hydropower energy in the Amazon. Science of the Total Environment. 744: 140981. DOI: 10.1016/j.scitotenv.2020.140981 .

1132. 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 .

1133. de Oliveira Serrão, E.A., M.T. Silva, T.R. Ferreira, A.C.F. Xavier, C.A. dos Santos, L.C.P Ataide, P.R.M. Pontes and V.P.R da Silva. 2023. Climate and land use change: Future impacts on hydropower and revenue for the Amazon. Journal of Cleaner Production. 385: 135700. DOI: 10.1016/j.jclepro.2022.135700 .

1134. de Oliveira, V.A., C.R. de Mello, M.R. Viola and R. Srinivasan. 2017. Assessment of climate change impacts on streamflow and hydropower potential in the headwater region of the Grande River Basin, southeastern Brazil. International Journal of Climatology. 37(15): 5005-5023. DOI: 10.1002/joc.5138 .

1135. de Oliveira, V.A., C.R. de Mello, M.B. Viola and R. Srinivasan. 2018. Land-use change impacts on the hydrology of the Upper Grande River Basin, Brazil. CERNE. 24(4): 334-343. DOI: 10.1590/01047760201824042573 .

1136. de Oliveira, V.A., C.R. de Mello, S. Beskow, M.R. Viola and R. Srinivasan. 2019. Modeling the effects of climate change on hydrology and sediment load in a headwater basin in the Brazilian Cerrado Biome. Ecological Engineering. 133: 20-31. DOI: 10.1016/j.ecoleng.2019.04.021 .

1137. de Silva, R.M., C.A.G. Santos, V.C. de Lima Silva and L.P. e Silva. 2013. Erosivity, surface runoff, and soil erosion estimation using GIS-coupled runoff–erosion model in the Mamuaba catchment, Brazil. Environmental Monitoring and Assessment. 185(11): 8977–8990. DOI: 10.1007/s10661-013-3228-x .

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1139. de Sousa, A.M.L., M.I. Vitorino N.M.d.R. Castro, M.d.N. Botelho and P.J.O.P. de Souza. 2015. Evapotranspiration from remote sensing to improve the SWAT Model in eastern Amazonia. Floresta e Ambiente. 22(4): 456-464. DOI: 10.1590/2179-8087.083814 .

1140. de Souza Dias, V., M.P. da Luz, G.M. Medero, D.T.F. Nascimento, W.N. de Oliveira and L.R. de Oliveira Merelles. 2018. Historical streamflow series analysis applies to Furnas HPP reservoir watershed using the SWAT model. Water. 10(4): 458. DOI: 10.3390/w10040458 .

1141. 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 .

1142. 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 .

1143. de Souza, R.M. and I. dos Santos. 2013. Estimated spatial variablility of low flow in the Upper Negro River watershed, south Brazil region, with application of SWAT model. Ra'e Ga - O Espaco Geografico em Analise. 28: 134-153. DOI: 10.5380/raega.v28i0.32304 .

1144. de Vente, J., G. Poesen, G. Verstraeten, G. Govers, M. Vanmaercke, A. Van Rompaey, M. Arabkhedri and C. Boix-Fayos. 2013. Predicting soil erosion and sediment yield at regional scales: Where do we stand? Earth Science Reviews. 127: 16–29. DOI: 10.1016/j.earscirev.2013.08.014 .

1145. Deb, D., J. Butcher and R. Srinivasan. 2015. Projected hydrologic changes under mid-21st century climatic conditions in a sub-arctic watershed. Water Resources Management. 29(5): 1467-1487. DOI: 10.1007/s11269-014-0887-5 .

1146. Deb, D., P. Tuppad, P. Daggupati, R. Srinivasan and D. Varma. 2015. Spatio-temporal impacts of biofuel production and climate variability on water quantity and quality in Upper Mississippi River Basin. Water. 7(4): 3283-3305. DOI: 10.3390/w7073283 .

1147. Deb, P., A.S. Kiema and G. Willgoose. 2019. A linked surface water-groundwater modelling approach to more realistically simulate rainfall-runoff non-stationarity in semi-arid regions. Journal of Hydrology. 575: 273-291. DOI: 10.1016/j.jhydrol.2019.05.039 .

1148. Debela, S.K. and F.F. Feyessa. 2022. Rainfall-runoff modeling and its prioritization at sub-watershed level using SWAT model: A case of Finca'aa, Oromia, Western Ethiopia. Water Conservation & Management. 6(1): 22-29. DOI: 10.26480/wcm.01.2022.22.29 .

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1152. Dechmi, F. and A. Skhiri. 2013. Evaluation of best management practices under intensive irrigation using SWAT model. Agricultural Water Management. 123: 55-64. DOI: 10.1016/j.agwat.2013.03.016 .

1153. Dechmi, F., A. Skhiri and D. Isidoro. 2021. Modeling environmental impact in a semi-arid intensive irrigated watershed. Agricultural Water Management. 256: 107115. DOI: 10.1016/j.agwat.2021.107115 .

1154. Dechmi, F., J. Burguete and A. Skhiri. 2012. SWAT application in intensive irrigation systems: Model modification, calibration and validation. Journal of Hydrology. 470-471: 1-47. DOI: 10.1016/j.jhydrol.2012.08.055 .

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1157. Dekongmen, B.W., G.K. Anornu, A.T. Kabo-Bah, I. Larbi, E.D. Sunkari, Y.T. Dile, A. Agyare and C. Gyamfi. 2022. Groundwater recharge estimation and potential recharge mapping in the Afram Plains of Ghana using SWAT and remote sensing techniques. Groundwater for Sustainable Development. 17: 100741. DOI: 10.1016/j.gsd.2022.100741 .

1158. Delaney, J.T., K.L. Bouska, J.D. Eash, P.J. Heglund and A.J. Allstadt. 2021. Mapping climate change vulnerability of aquatic-riparian ecosystems using decision-relevant indicators. Ecological Indicators. 125: 107581. DOI: 10.1016/j.ecolind.2021.107581 .

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1163. Delkash, M., F.A.M. Al-Faraj and M. Scholz. 2014. Comparing the export coefficient approach with the Soil and Water Assessment Tool to predict phosphorous pollution: The Kan Watershed case study. Water, Air, and Soil Pollution. 225:2122: 1-17. DOI: 10.1007/s11270-014-2122-7 .

1164. Demetropoulou, L., M.A. Lilli, I. Petousi, T. Nikolaou, M. Fountoulakis, M. Kritsotakis, S. Panakoulia, G.V. Giannakis, T. Manios and N.P. Nikolaidis. 2019. Innovative methodology for the prioritization of the program of the measures for integrated water resources management of the Region of Crete, Greece. Science of the Total Environment. 672: 61-70. DOI: 10.1016/j.scitotenv.2019.03.397 .

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