Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area

Chen Siming; Aidi Huo; Wenke Guan

摘要

Groundwater is one of the most important natural resources. Regional groundwater depth is an important parameter for understanding groundwater resources and maintaining sustainable development of water resources and environment. The middle reaches of the Tarim River in Xinjiang are the most primitive and well-preserved place in the world, which provides valuable resources in studying the response mechanism of surface vegetation to the groundwater level. The ecological environment of Tarim River Basin has been deteriorating, and Populuseuphratica forest has died, which is directly related to the decrease of water inflow and groundwater level around the Tarim River. To obtain the spatial distribution of the groundwater level, this study uses the MODIS satellite remote sensing image data and the remote sensing-mathematical-model of a fusion science research methods, based on the field investigation of the groundwater level, soil moisture, and other supporting information on Aeolian desertification area in the middle reaches of Tarim River in Xinjiang. Through the experimental equation of the soil moisture and groundwater level, a simple and effective remote sensing method was proposed. This method is used to evaluate the spatial distribution of groundwater level based on the MODIS image data when there is capillary supply in the soil. This model was field-proven on the desertification area in the middle reaches of Tarim River. The results indicate that the correlation coefficient between the inversion of groundwater depth and the measured groundwater level is 0.89, which are realistic with small errors. So it is feasible to monitor and assess the spatial distribution of groundwater table depth in desertification areas with a large groundwater depth of 6 m or less. This study is helpful to provide critical area for the ecological environment monitoring and restoration, and ultimately serve the sustainable development of water and environment.

机译：地下水是最重要的自然资源之一。区域地下水深度是理解地下水资源和维持水资源和环境的可持续发展的重要参数。新疆塔里木河中游是世界上最原始，保存完好的地方，为研究地面植被的响应机制提供了宝贵的资源。塔里木河流域的生态环境一直恶化，Populuseuphratica森林已死亡，与塔里木河周围的水流入和地下水位降低直接相关。为了获得地下水位的空间分布，本研究采用了融合科学研究方法的MODIS卫星遥感图像数据和遥感数学模型，基于地下水位，土壤水分等的现场调查新疆塔里木河中游地区的塔里木荒漠化地区的支持。通过土壤水分和地下水位的实验方程，提出了一种简单有效的遥感方法。该方法用于评估基于在土壤中有毛细管供应时基于MODIS图像数据的地下水位的空间分布。该型号在塔里木河中游的荒漠化地区是现场证明的。结果表明，地下水深度反转与测量地下水位之间的相关系数为0.89，这是具有小误差的逼真。因此，监测和评估荒漠化区域的地下水位深度的空间分布是可行的，该地下水深度为6米或更小。本研究有助于为生态环境监测和修复提供关键领域，最终为水和环境的可持续发展提供服务。

Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area

摘要

著录项

相关主题

期刊订阅