Abstract

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.

中文翻译：

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风沙荒漠化地区地下水位遥感监测方法

摘要

地下水是最重要的自然资源之一。区域地下水深度是了解地下水资源，维持水资源和环境可持续发展的重要参数。塔里木河中游是世界上最原始，保存最完好的地方，为研究地表植被对地下水位的响应机制提供了宝贵的资源。塔里木河流域的生态环境恶化，Populuseuphratica森林已经死亡，这与塔里木河周围的水流入量和地下水位下降直接相关。为了获得地下水位的空间分布，本研究使用MODIS卫星遥感影像数据和融合数学研究方法的遥感数学模型，在对地下水位，土壤湿度等进行实地调查的基础上塔里木河中游风沙荒漠化地区的支持信息。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。当土壤中有毛细管供应时，该方法用于基于MODIS图像数据评估地下水位的空间分布。该模型在塔里木河中游荒漠化地区得到了现场验证。结果表明，地下水位反演与实测地下水位的相关系数为0.89，具有较小的误差。因此，监测和评估地下水深在6 m以下的荒漠化地区的地下水位深度空间分布是可行的。该研究有助于为生态环境的监测和恢复提供关键领域，并最终为水和环境的可持续发展服务。因此，监测和评估地下水深在6 m以下的荒漠化地区的地下水位深度空间分布是可行的。该研究有助于为生态环境的监测和恢复提供关键领域，并最终为水和环境的可持续发展服务。因此，监测和评估地下水深在6 m以下的荒漠化地区的地下水位深度空间分布是可行的。该研究有助于为生态环境的监测和恢复提供关键领域，并最终为水和环境的可持续发展服务。