Multi-objective optimization of an improved Xin'anjiang model: A case study in Linhuanji catchment
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Abstract:
In plain irrigatio n areas, human exploitation and irrigation have a great impact on local hydrological processes, and material and energy exchange frequently between surface flow and groundwater. In these areas, single-objective calibration methods cannot effectively simulate river discharge and groundwater depth at the same time. Therefore, we established a surface-groundwater coupling model based on Xin'anjiang model combined with a groundwater reservoir, and we built a multi-objective function containing discharge and groundw- ater data. Then we used SCE-UA to calibrate the sensitive parameters selected by MCAT and we compared the results of single-objec- tive and multi-objective calibration. Results showed that the multi-objective calibration method used in this study worked more efficiently than many former ones. It can effectively and accurately simulate discharge and water level simultaneously. The coupling model does well in simulating the hydrological processes in Linhuanji catchment. It can provide reference for surface-groundwater dynamic simulation and water resources assessment in plain irrigation areas.