摘要
地下水补给是影响区域地下水资源的关键因素,准确评价地下水净补给量对地下水资源的合理开发利用和区域水文循环过程的研究具有基础性意义。通常情况下,在站点尺度可以使用蒸渗仪等设备直接监测地下水补给,而在区域尺度获取地下水补给则难度较大,因此亟待构建一种简便量化区域尺度地下水补给量的方法。本文提出一种基于遥感数据校正来估算区域尺度多年地下水补给量的方法,并在黄河中游内蒙古鄂尔多斯盆地新街台格庙矿区进行试点应用研究。通过对多源降水数据的筛选和蒸发遥感数据的校正,评价台格庙矿区地下水多年净补给量,并基于实测数据的Hydrus-1D数值模拟验证评价方法的有效性。研究结果显示,TPDC来源的降水量数据集更适用于反映研究区降水量的空间分布;MOD16遥感数据低估了矿区实际蒸散量,实际蒸散量是MOD16数据的1.41倍;矿区多年平均净补给量变化范围在-65.70~73.93 mm之间,超过80%的区域净补给量在-30~30 mm之间。新方法估算的地下水净补给量与基于实测数据的土壤水流数值模拟结果接近,表明该方法在缺乏地表产流或地表径流观测资料翔实的地区具有较强的实际应用价值。
The groundwater recharge acts as a decisive factor affecting the groundwater resources in the Yellow River Basin.Accurate calculation of the net groundwater recharge is of great importance for the rational development and utilization of regional groundwater resources and for regional hydrological cycle.At the point scale,equipment such as lysimeter can be used to directly monitor groundwater recharge,however,it is difficult to use this method to obtain the groundwater recharge at the regional scale.This calls for a simple method to quantify groundwater recharge at the regional scale.In this study,we proposed a new method to calibrate remote sensing data and estimate the multi-year groundwater recharge at the regional scale.We applied this proposed new method to the Taigemiao mining area in Xinjie,Ordos Basin,located in the middle reaches of the Yellow River.Based on the screened multi-source precipitation data and the corrected evaporation remote sensing data,we calculated the accurate mean annual net groundwater recharge in the mining area.The Hydras-1D numerical simulation based on measured data further verifies the effectiveness of the proposed evaluation method.The result indicates that the precipitation data from TPDC is more accurate in term of reflecting the spatial distribution of precipitation in the study area.The MOD16 remote sensing data underestimated the actual evapotranspiration in the mining area,which is 1.41 times of the MOD16 data.The mean annual net groundwater recharge ranges from-65.70 mm to 73.93 mm and the net groundwater recharge of more than 80%of the area ranges from-30 mm to 30 mm.The groundwater recharge estimated by the new method is consistent with the numerically simulated results based on the measured data,indicating that the method can be used in the prediction in areas where there is lack of surface runoff or detailed observation data of surface runoff.
作者
王旭东
韩鹏飞
张锁
朱晓倩
邢朕国
王路军
万力
WANG Xudong;HAN Pengfei;ZHANG Suo;ZHU Xiaoqian;XING Zhenguo;WANG Lujun;WAN Li(Shenhua Group Xinjie Energy Co,Ltd,Ordos,Inner Mongolia 017200,China;State Key Laboratory of Water Resource Protection and Utilization in Coal Mining,Beijing 102211,China;National Institute of Low Carbon and Clean Energy,Beijing 102211,China;Key Laboratory of Groundwater Conservation of Ministry of Water Resources,China University of Geosciences(Beijing),Beijing 100083,China;Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution,China University of Geosciences(Beijing),Beijing 100083,China;School of Water Resources&Environment,China University of Geosciences(Beijing),Beijing 100083,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China)
出处
《现代地质》
CAS
CSCD
北大核心
2024年第2期409-418,共10页
Geoscience
基金
国家自然科学基金项目(42302280)
国家能源集团科技项目(GJNY-21-129)。
