Multi Site Development Case Study

  • Abbaspour K C (2011). SWAT-CUP4: SWAT Calibration and Uncertainty Programs–A User Manual. Department of Systems Analysis, Integrated Assessment and Modelling (SIAM), Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH, SwitzerlandGoogle Scholar

  • Anderton S, Latron J, Gallart F (2002). Sensitivity analysis and multiresponse, multi-criteria evaluation of a physical based distributed model. Hydrol Processes, 16(2): 333–353CrossRefGoogle Scholar

  • Arnold J G, Srinivasan R, Muttiah R S, Williams J R (1998). Large area hydrologic modeling and assessment: part I. Model development. J Am Water Resour Assoc, 34(1): 73–89CrossRefGoogle Scholar

  • Bai J, Shen Z, Yan T (2016). Effectiveness of vegetative filter strips in abating fecal coliform based on modified soil and water assessment tool. Int J Environ Sci Technol, 13(7): 1723–1730CrossRefGoogle Scholar

  • Bao Z, Fu G, Wang G, Jin J, He R, Yan X, Liu C (2012). Hydrological projection for the Miyun Reservoir basin with the impact of climate change and human activity. Quat Int, 282: 96–103CrossRefGoogle Scholar

  • Bekele E G, Nicklow J W (2007). Multi-objective automatic calibration of SWAT using NSGA-II. J Hydrol (Amst), 341(3–4): 165–176CrossRefGoogle Scholar

  • Cao W, Bowden W B, Davie T, Fenemor A (2006). Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability. Hydrol Processes, 20(5): 1057–1073CrossRefGoogle Scholar

  • Cho K H, Pachepsky Y A, Kim J H, Kim J W, Park M H (2012). The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USA. Water Res, 46(15): 4750–4760CrossRefGoogle Scholar

  • Duan Q, Sorooshian S, Gupta V K (1992). Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour Res, 28(4): 1015–1031CrossRefGoogle Scholar

  • Frey S K, Topp E, Edge T, Fall C, Gannon V, Jokinen C, Marti R, Neumann N, Ruecker N, Wilkes G, Lapen D R (2013). Using SWAT, bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed. Water Res, 47(16): 6326–6337CrossRefGoogle Scholar

  • Gong Y W, Shen Z Y, Hong Q, Liu R M, Liao Q (2011). Parameter uncertainty analysis in watershed total phosphorus modeling using the GLUE approach. Agric Ecosyst Environ, 142(3–4): 246–255CrossRefGoogle Scholar

  • Gong Y W, Shen Z Y, Liu R M, Hong Q, Wu X (2012). A comparison of single- and multi-gauge based calibrations for hydrological modeling of the Upper DaningheWatershed in China’s Three Gorges Reservoir Region. Hydrol Res, 43(6): 822–832CrossRefGoogle Scholar

  • Li Z J, Li X B (2008). Impacts of precipitation changes and human activities on annual runoff of Chaohe Basin during past 45 years. Sci Geogr Sin, 28(6): 809–813 (in Chinese)Google Scholar

  • Liu R, Zhang P, Wang X, Chen Y, Shen Z (2013). Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxihe watershed. Agric Water Manage, 117: 9–18CrossRefGoogle Scholar

  • Ma H, Yang D, Tan S K, Gao B, Hu Q (2010). Impact of climate variability and human activity on streamflow decrease in Miyun Reservoir catchment. J Hydrol (Amst), 389(3–4): 317–324CrossRefGoogle Scholar

  • Méndez M, Araya J A, Sánchez L D (2013). Automated parameter optimization of a water distribution system. J Hydroinform, 15(1): 71–85CrossRefGoogle Scholar

  • Moriasi D N, Arnold J G, Van Liew M W, Bingner R L, Harmel R D, Veith T L (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASAE, 50(3): 885–900CrossRefGoogle Scholar

  • Nash J, Sutcliffe J (1970). River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol, 10: 282–290CrossRefGoogle Scholar

  • Parajuli P B, Mankin K R, Barnes L P (2009). Source specific fecal bacteria modeling using soil and water assessment tool model. Bioresour Technol, 100(2): 953–963CrossRefGoogle Scholar

  • Parajuli P B, Mankin K R, Barnes P L (2008). Applicability of targeting vegetative filter strips to abate fecal bacteria and sediment yield using SWAT. Agric Water Manage, 95(10): 1189–1200CrossRefGoogle Scholar

  • Rasolomanana S D, Lessard P, Vanrolleghem P A (2012). Singleobjective vs. multi-objective autocalibration in modelling total suspended solids and phosphorus in a small agricultural watershed with SWAT. Water Sci Technol, 65(4): 643–652CrossRefGoogle Scholar

  • Shen Z, Chen L, Chen T (2013). The influence of parameter distribution uncertainty on hydrological and sediment modeling: a case study of SWAT model applied to the Daning watershed of the Three Gorges Reservoir Region, China. Stochcastic Environmental Research and Risk Assessment, 27(1): 235–251CrossRefGoogle Scholar

  • Shen Z Y, Chen L, Chen T (2012). Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China. Hydrol Earth Syst Sci, 16(1): 121–132CrossRefGoogle Scholar

  • Wang G, Xia J, Chen J (2009). Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: a case study of the Chaobaihe basin in northern China. Water Resour Res, 45(7): 206–216Google Scholar

  • Wang G S, Xia J, Wan D H, Ye Z A (2006). A Distributed monthly water balance model for identifying hydrological response to climate changes and human activities. J Nat Res, 21(1): 86–91 (in Chinese)Google Scholar

  • Wang S, Zhang Z, Sun G, Strauss P, Guo J, Tang Y, Yao A (2012). Multi-site calibration, validation, and sensitivity analysis of the MIKE SHE Model for a large watershed in northern China. Hydrol Earth Syst Sci, 16(12): 4621–4632CrossRefGoogle Scholar

  • Wang X Y, Qin F L, Ou Y, Xue Y F (2008). SWAT-based simulation on non- point source pollution in the northern watershed of Miyun Reservoir. J Agro-Environ Sci, 27(3): 1098–1105 (in Chinese)Google Scholar

  • Xu Z X, Pang J P, Liu C M, Li J Y (2009). Assessment of runoff and sediment yield in the Miyun Reservoir catchment by using SWAT model. Hydrol Processes, 23(25): 3619–3630CrossRefGoogle Scholar

  • Yang J, Reichert P, Abbaspour K C, Xia J, Yang H (2008). Comparing uncertainty analysis techniques for a SWATapplication to the Chaohe Basin in China. J Hydrol (Amst), 358(1–2): 1–23CrossRefGoogle Scholar

  • Zhang X, Beeson P, Link R, Manowitz D, Izaurralde R C, Sadeghi A, Thomson A M, Sahajpal R, Srinivasan R, Arnold J G (2013). Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. Environ Model Softw, 46: 208–218CrossRefGoogle Scholar

  • Zhang X, Srinivasan R, Bosch D (2009). Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging. J Hydrol (Amst), 374(3–4): 307–317CrossRefGoogle Scholar

  • Zhang X, Srinivasan R, Van Liew M (2008). Multi-site calibration of the SWAT model for hydrologic modeling. Trans ASABE, 51(6): 2039–2049CrossRefGoogle Scholar

  • Zhao Y, Yu X, Zheng J, Wu Q (2012). Quantitative effects of climate variations and land-use changes on annual streamflow in Chaobai river basin. Transactions of the Chinese Society of Agricultural Engineering, 28(22): 252–260 (in Chinese)Google Scholar

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