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Drivers of Groundwater Storage Dynamics in China's Ordos Mining Region:Integrating Natural and Anthropogenic Influences 被引量:1
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作者 LIU Zhiqiang ZHANG Shengwei +5 位作者 FAN Wenjie HUANG Lei ZHANG Xiaojing LUO Meng YANG Lin ZHANG Zhiqi 《Chinese Geographical Science》 2025年第4期693-706,I0001,I0002,共16页
Clarifying the mechanisms through which coal mining affects groundwater storage(GWS)variations is crucial for water resource conservation and sustainable development.The Ordos Mining Region in China,a key energy base ... Clarifying the mechanisms through which coal mining affects groundwater storage(GWS)variations is crucial for water resource conservation and sustainable development.The Ordos Mining Region in China,a key energy base in China with significant strategic importance,has undergone intensive coal mining activities that have substantially disrupted regional groundwater circulation.This study integrated data from the Gravity Recovery and Climate Experiment Satellite(GRACE)and Famine Early Warning Systems Network(FEWS NET)Land Data Assimilation System(FLDAS)models,combined with weighted downscaling methodology and water balance principles,to reconstruct high-resolution(0.01°)terrestrial water storage(TWS)and GWS changes in the Ordos Mining Region,China from April 2002 to December 2021.The accuracy of GWS variations were validated through pumping test measurements.Subsequently,Geodetector analysis was implemented to quantify the contributions of natural and anthropogenic factors to groundwater storage dynamics.Key findings include:1)TWS in the study area showed a fluctuating but overall decreasing trend,with a total reduction of 8901.11 mm during study period.The most significant annual decrease occurred in 2021,reaching 1696.77 mm.2)GWS exhibited an accelerated decline,with an average annual change rate of 44.35 mm/yr,totaling a decrease of 887.05 mm.The lowest annual groundwater storage level was recorded in 2020,reaching 185.69 mm.3)Precipitation(PRE)contributed the most to GWS variation(q=0.52),followed by coal mining water consumption(MWS)(q=0.41).The interaction between PRE and MWS exhibited a nonlinear enhancement effect on GWS changes(0.54).The synergistic effect of natural hydrological factors has a great influence on the change of GWS,but coal mining water consumption will continue to reduce GWS.These findings provide critical references for the management and regulation of groundwater resource in mining regions. 展开更多
关键词 groundwater reserves groundwater storage(GWS) terrestrial water storage(TWS) Gravity Recovery and Climate Experiment Satellite(GRACE) Famine Early Warning Systems Network(fews NET)Land Data Assimilation System(FLDAS) Ordos Mining Region China
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台湾洪水预报进展及模型实务应用 被引量:1
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作者 江衍铭 郝偌楠 蔡文柄 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2016年第9期1784-1790,共7页
阐述全台10个河川局洪水预报系统DRAINS、FEWS、SINO-TOPO、HEC-RAS、REFOR中不同降雨、径流、河川等水理模式运行机理.结合实例针对业务现况分析台风强降水条件下河川局洪水预报模型的模拟效果与操作经验.模型验证成果表明:不同河川局... 阐述全台10个河川局洪水预报系统DRAINS、FEWS、SINO-TOPO、HEC-RAS、REFOR中不同降雨、径流、河川等水理模式运行机理.结合实例针对业务现况分析台风强降水条件下河川局洪水预报模型的模拟效果与操作经验.模型验证成果表明:不同河川局应用洪水预报模型皆能把握洪水演进规律,尤其在洪峰段模拟较好;不同模型在洪水过程模拟下洪峰最大滞后时间为2~3h,洪峰相对误差量小于17.7%.总体而言,各模型预测数值精度及时间误差符合预报要求.预报系统的适用条件可为其他地区台风降水条件下的洪水预报模型开展业务应用提供借鉴. 展开更多
关键词 洪水预报 台湾地区 DRAINS fews SINO-TOPO HEC-RAS REFOR
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