Title: | New methodology of evaluation of best management practices performances for an agricultural watershed according to the climate change scenarios: A hybrid use of deterministic and decision support models |
Authors: | Jeon, D.J., S.J. Ki, Y. Cha, Y. Park and J.H. Kim |
Year: | 2018 |
Journal: | Ecological Engineering |
Volume (Issue): | 119 |
Pages: | 73-82 |
Article ID: | |
DOI: | 10.1016/j.ecoleng.2018.05.006 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic and pollutant |
Primary Application Category: | BMP and/or cropping system assessment |
Secondary Application Category: | climate change assessment |
Watershed Description: | 724 km^2 Yeongsan River, located in southwest South Korea. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | This study is part of a SWAT special issue that was published in multiple issues of Ecological Engineering; see the special issue webpage at https://www.sciencedirect.com/journal/ecological-engineering/special-issue/10L62PXMPSN. |
Language: | English |
Keywords: | Climate change; Best management practices; SWAT; Diffuse pollution; Multi-objective optimization |