Modelling the Impact of Vegetation Change on Hydrological Processes in Bayin River Basin, Northwest China

Vegetation change in arid areas may lead to the redistribution of regional water resources, which can intensify the competition between ecosystems and humans for water resources. This study aimed to accurately model the impact of vegetation change on hydrological processes in an arid endorheic river watershed undergoing revegetation, namely, the middle and lower reaches of the Bayin River basin, China. A LU-SWAT-MODFLOW model was developed by integrating dynamic hydrological response units with a coupled SWAT-MODFLOW model, which can reflect actual land cover changes in the basin. The LU-SWAT-MODFLOW model outperformed the original SWAT-MODFLOW model in simulating the impact of human activity as well as the leaf area index, evapotranspiration, and groundwater table depth. After regional revegetation, evapotranspiration and groundwater recharge in different sub-basins increased significantly. In addition, the direction and amount of surface-water-groundwater exchange changed considerably in areas where revegetation involved converting low-coverage grassland and bare land to forestland.

Automated summary

This study in the middle and lower reaches of the Bayin River basin in China aimed to accurately model the impact of vegetation change on hydrological processes during regional revegetation. The LU-SWAT-MODFLOW model outperformed the original SWAT-MODFLOW model in simulating the impact of human activity, evapotranspiration, and groundwater recharge, showing significant changes in surface-water-groundwater exchange after regional revegetation.