【摘要】 为全面了解及合理开发利用地下水资源,选取马莲河流域为研究对象,通过构建SWAT分布式水文模型,采用SUFI-2算法进行参数敏感性分析、参数确定和模型验证,对流域出口水文站雨落萍站2006-2019年的逐月径流量进行模拟.模型验证期R~2和纳什效率系数分别为0.75和0.64,满足要求.对马莲河流域地下水潜水层储量、天然补给量、可开采量进行估算.流域地下水储量空间分布差异明显, 2006-2019年储量减少3.79×10~9 m~3,损失量较大,且潜水层储量与潜水层厚度和地质构造状况有关.流域模拟期多年平均地下水径流模数为0.36 L/(s·km~2),多年平均天然补给量为2.29×10~8 m~3,多年平均可开采量为1.37×10~8 m~3.更多还原

【Abstract】 In order to fully understand and rationally develop and utilize groundwater resources, the Malian River Basin was selected as the research object, and the monthly runoff of Yuluoping Station from 2006 to 2019 was simulated by constructing a SWAT distributed hydrological model and using SUFI-2algorithm for parameter sensitivity analysis, parameter validation and model verification. In the model verification period, R~2 and Nash-Sutcliffe efficiency coefficient were 0.75 and 0.64 respectively, which met the requirements. The reserves, natural replenishment and recoverable amount of groundwater phreatic beds in the river basin were estimated. The spatial distribution of groundwater reserves in the basin was significantly different, and the reserves decreased by 3.79×10~9 m~3 from 2006 to 2019, with a large loss. The reserves of the diving layer were related to the thickness of the diving layer and the geological structure. The average annual groundwater runoff modulus was 0.36 L/(s·km~2), average annual natural recharge was 2.29×10~8 m~3, and the average annual recoverable amount was 1.37×10~8 m~3.更多还原