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Groundwater Resources Evaluation in the Pearl River Basin Based on SWAT Model
Zhao Liangjie, Wang Ying, Zhou Yan, Cao Jianwen, Yang Yang, Wang Zhe
PDF(9635 KB)
PDF(9635 KB)
Groundwater Resources Evaluation in the Pearl River Basin Based on SWAT Model
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On the basis of reviewing the current situation and history of groundwater resources evaluation in the Pearl River basin, this paper discusses the basic principle and basic database of SWAT distributed hydrological model. We divided the Pearl River basin into 129 four-level groundwater systems, and fully considered the parameter sensitivity of karst, bedrock fissures and pore aquifer media. Based on the monthly measured runoff of 9 hydrological stations from 2008 to 2016, we carried out parameter calibration and model calibration, calculated the rainfall assurance rate in different years according to the rainfall from 1957 to 2017, analyzed and evaluated the multi-year groundwater resources in the Pearl River basin. Finally, we carried out the inversion of rainfall infiltration coefficient and groundwater recharge model parameters. Through this assessment, the average recharge of the Pearl River basin from 2010 to 2016 is 148.802 billion m3, and the total recharge of groundwater in extra dry years (2011), normal years (2010) and high water years (2016) are 71.949 billion m3, 144.682 billion m3 and 178.187 billion m3 respectively, of which the rainfall in high water years is about 1.7 times that in extra dry years, the groundwater recharge is 2.48 times, karst. The total annual recharge of bedrock fissure and pore water bearing medium is 52.991 billion m3, 44.513 billion m3 and 51.298 billion m3 respectively. Through parameter inversion, the average annual groundwater recharge modulus is 10.83 L/s·km2 and the rainfall infiltration coefficient is 0.246, in order to provide data support and scientific services for groundwater development, utilization, treatment and protection in the basin.
distributed hydrological model / groundwater resources / Pearl River basin / water resources evaluation / parameter inversion / hydrogeology
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