黄河三角洲地区地下水埋深遥感反演

Retrieving groundwater in Yellow River Delta area using remote sensing

黄河三角洲地区地理位置特殊,水资源供需矛盾尖锐,为了研究其地下水分布状况,使用MODIS遥感数据、实测土壤相对含水量和地下水埋深数据,利用温度植被干旱指数(temperature vegetation dryness index,TVDI)和表观热惯量法(apparent thermal inertia,ATI)对研究区土壤相对含水量进行遥感估算;通过分析不同深度处土壤相对含水量与地下水埋深的相关性,建立了反演地下水埋深的线性方程,得到了研究区地下水埋深分布状况图。结果表明:利用地表10 cm深度处测得的土壤相对含水量反演地下水埋深的结果较为合理;在缺少土壤相对含水量数据时,可以用反映土壤相对含水量高低的因子估算地下水的埋深。

The geographical position of the Yellow River Delta is unique and there is a sharp contradiction between the supply and the demand of water resources.In order to study its groundwater distribution,the authors adopted MODIS satellite remote sensing data to measure soil moisture and groundwater level.The relative soil moisture was estimated by using temperature vegetation dryness index（TVDI） and apparent thermal inertia（ATI） methods.The correlation between the soil moisture at different depths and the groundwater level was analyzed,which helped to get the linear equations and calculate the groundwater depth distribution.A comparison with the measured groundwater level data shows that it is feasible to retrieve groundwater distribution by using MODIS data,and 10 cm is the best depth for the inversion of relative soil water content and groundwater level in the study area.In case when the soil moisture data are lacking,we can estimate the groundwater depth distribution by using the factors which can reflect the relative soil water content.