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Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area

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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.

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Funding

This work was supported by the National Natural Science Foundation of China (grant nos. 41877232, 41672255, and 41790444); National Key R&D Program of China (2018YFE0103800); the Fundamental Research Funds for the Central Universities, CHD (300102299302); Key R & D projects of Shaanxi Province (no. 2020sf-424); Key Laboratory Open Project Fund of State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS (grant no. SKLLQG1909).

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Authors and Affiliations

  1. Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region (Chang’an University), Ministry of Education, Xi’an, Shaanxi, China

    Chen Siming & Huo Aidi

  2. School of Water and Environment, Chang’an University, 710054, Xi’an, Shaanxi, China

    Chen Siming & Huo Aidi

  3. Afforestation Desert Control Research Institute, Xinjiang Academy of Forestry, Urumqi, China

    Guan Wenke

Authors
  1. Chen Siming
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  2. Huo Aidi
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  3. Guan Wenke
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Correspondence to Huo Aidi or Guan Wenke.

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Chen Siming, Aidi, H. & Wenke, G. Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area. J. Water Chem. Technol. 42, 522–529 (2020). https://doi.org/10.3103/S1063455X20060090

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  • DOI: https://doi.org/10.3103/S1063455X20060090

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