Scholarlink

Wuding River BasinWuding River Basin is situated in a typical semi-arid region of China, where groundwater resources play a vital role in regional water resource management and ecosystem stability. A numerical groundwater model for the basin was developed using MODFLOWMODFLOW, incorporating high-resolution soil moistureSoil moisture data from the Global Land Data Assimilation System (GLDAS) to simulate groundwater dynamicsGroundwater dynamics and evaluate environmental response mechanisms. Results demonstrate that the model accurately captures spatial variations in the phreatic aquifer, with a correlation coefficient of 0.98 between simulated and observed water levels. The HydroSoil-CC index was employed to analyze the relationship between TSM and SA, revealing the strongest correlation (CCF = 0.81) at a two-month lag, indicative of a delayed response of groundwater recharge to soil moistureSoil moisture. Human activities, particularly irrigation from June to September, were found to significantly influence soil moistureSoil moisture, thereby driving changes in groundwater storage. These findings provide a scientific basis for water resource management in semi-arid regions.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Groundwater Flow Modeling in the Wuding River Basin with MODFLOW and Environmental Response Analysis

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Zhirui Yang,
  • Ya Zhou,
  • Guohe Huang,
  • Yongping Li,
  • Feng Wang,
  • Zhipeng Xu,
  • Yiting Wei

摘要

Wuding River BasinWuding River Basin is situated in a typical semi-arid region of China, where groundwater resources play a vital role in regional water resource management and ecosystem stability. A numerical groundwater model for the basin was developed using MODFLOWMODFLOW, incorporating high-resolution soil moistureSoil moisture data from the Global Land Data Assimilation System (GLDAS) to simulate groundwater dynamicsGroundwater dynamics and evaluate environmental response mechanisms. Results demonstrate that the model accurately captures spatial variations in the phreatic aquifer, with a correlation coefficient of 0.98 between simulated and observed water levels. The HydroSoil-CC index was employed to analyze the relationship between TSM and SA, revealing the strongest correlation (CCF = 0.81) at a two-month lag, indicative of a delayed response of groundwater recharge to soil moistureSoil moisture. Human activities, particularly irrigation from June to September, were found to significantly influence soil moistureSoil moisture, thereby driving changes in groundwater storage. These findings provide a scientific basis for water resource management in semi-arid regions.