References

  1. Handbook for Developing Watershed Plans to Restore and Protect Our Waters, 2008.
  2. Watershed Management in Action—Lessons Learned from FAO Field Projects, 2017.
  3. E. Ahmadisharaf, R.A. Camacho, H.X. Zhang, M.M. Hantush, Y.M. Mohamoud, Calibration and validation of watershed models and advances in uncertainty analysis in TMDL studies, J. Hydrol. Eng., 24 (2019) 03119001, doi: 10.1061/(Asce)He.1943-5584.0001794.
  4. A. Ahani, S.S. Mousavi Nadoushani, A. Moridi, Simultaneous regionalization of gauged and ungauged watersheds using a missing data clustering method, J. Hydrol. Eng., 25 (2020) 04020015, doi: 10.1061/(ASCE)HE.1943-5584.0001916.
  5. M. Aghakhani, T. Nasrabadi, A. Vafaeinejad, Assessment of the effects of land use scenarios on watershed surface runoff using hydrological modelling, Appl. Ecol. Environ. Res., 16 (2018) 2369–2389.
  6. M. Ahmadi, R. Records, M. Arabi, Impact of climate change on diffuse pollutant fluxes at the watershed scale, Hydrol. Processes, 28 (2014) 1962–1972.
  7. C. Carvalho-Santos, A.T. Monteiro, J.C. Azevedo, J. Honrado, J.P. Nunes, Climate change impacts on water resources and reservoir management: uncertainty and adaptation for a mountain catchment in northeast Portugal, Water Resour. Manage., 31 (2017) 3355–3370.
  8. M. Babur, M.S. Babel, S. Shrestha, A. Kawasaki, N.K. Tripathi, Assessment of climate change impact on reservoir inflows using multi climate-models under RCPs the case of Mangla Dam in Pakistan, Water, 8 (2016) 389, doi: 10.3390/w8090389.
  9. C. Carvalho-Santos, J.P. Nunes, A.T. Monteiro, L. Hein, J.P. Honrado, Assessing the effects of land cover and future climate conditions on the provision of hydrological services in a medium-sized watershed of Portugal, Hydrol. Processes, 30 (2016) 720–738.
  10. V. Chaplot, Water and soil resources response to rising levels of atmospheric CO2 concentration and to changes in precipitation and air temperature, J. Hydrol., 337 (2007) 159–171.
  11. L. Chen, G.Y. Wei, Z.Y. Shen, Incorporating water quality responses into the framework of best management practices optimization, J. Hydrol., 541 (2016) 1363–1374.
  12. L.C. Chiang, I. Chaubey, N.M. Hong, Y.P. Lin, T. Huang, Implementation of BMP strategies for adaptation to climate change and land use change in a pasture-dominated watershed, Int. J. Environ. Res Public Health, 9 (2012) 3654–3684.
  13. J.L. Qiu, Z.Y. Shen, X.S. Hou, H. Xie, G.Y. Leng, Evaluating the performance of conservation practices under climate change scenarios in the Miyun Reservoir Watershed, China, Ecol. Eng., 143 (2020) 105700, doi: 10.1016/j.ecoleng.2019.105700.
  14. C. Santhi, J.G. Arnold, J.R. Williams, L.M. Hauck, W.A. Dugas, Application of a watershed model to evaluate management effects on point and nonpoint source pollution, Trans. ASAE, 44 (2001) 1559–1570.
  15. Korea Ministry of Environment, 2020.
  16. South Korea Ministry of E. Water Resources Management Information System (WAMIS), 2003.
  17. The Importance of Watershed Management in Protecting Ontario’s Drinking Water Supplies, 2001.
  18. Korea Meteorological Administration, 2020.
  19. J.H. Christensen, F. Boberg, O.B. Christensen, P. Lucas-Picher, On the need for bias correction of regional climate change projections of temperature and precipitation, Geophys. Res. Lett., 35 (2008) L20709, doi: 10.1029/2008GL035694.
  20. Climate Information Portal, 2017.
  21. G. Lenderink, A. Buishand, W. van Deursen, Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach, Hydrol. Earth Syst. Sci., 11 (2007) 1143–1159.
  22. C. Teutschbein, J. Seibert, Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods, J. Hydrol., 456 (2012) 12–29.
  23. K.L. White, I. Chaubey, Sensitivity analysis, calibration, and validations for a multisite and multivariable SWAT model, J. Am. Water Resour. Assoc., 41 (2005) 1077–1089.
  24. M.D. Mckay, R.J. Beckman, W.J. Conover, A comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics, 42 (2000) 55–61.
  25. A. van Griensven, T. Meixner, S. Grunwald, T. Bishop, A. Diluzio, R. Srinivasan, A global sensitivity analysis tool for the parameters of multi-variable catchment models, J. Hydrol., 324 (2006) 10–23.
  26. M.D. Morris, Factorial sampling plans for preliminary computational experiments, Technometrics, 33 (1991) 161–174.
  27. K. Holvoet, A. van Griensven, P. Seuntjens, P.A. Vanrolleghem, Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT, Phys. Chem. Earth, 30 (2005) 518–526.
  28. J.G. Arnold, J.R. Kiniry, R. Srinivasan, J.R. Williams, E.B. Haney, S.L. Neitsch, Soil and water Assessment Tool Input/Output File Documentation Version 2009, Texas Water Resources Technical Report No. 365, Texas, 2011.