Research on the identification of suitable well location of groundwater based on multi-source data

Wenshun Sheng; Lei Mao; Xin Chen; Jiayan Lin; Deyin Zhang

doi:10.1117/12.2681202

8 June 2023 Research on the identification of suitable well location of groundwater based on multi-source data

Wenshun Sheng, Lei Mao, Xin Chen, Jiayan Lin, Deyin Zhang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127073N (2023) https://doi.org/10.1117/12.2681202
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

In order to reasonably develop and utilize groundwater resources, this paper proposes to use multi-source data to identify the location of groundwater wells in the Ningzhen Mountain area. An index system of influencing factors for groundwater supply identification of bedrock is established by analyzing relevant factors affecting groundwater occurrence. AHP is used to assign index weights and verify the correctness of weights. Then, combined with industry experience and expert knowledge rules, the correctness of the identification is judged by using bedrock geological maps and profile maps to identify the water storage structure and contour data to identify the terrain to obtain the water control points in the study area. The identified water storage structure and water control points are spatially superimposed to obtain the possible well location. Finally, combined with hydrological data, comprehensive analysis is carried out to determine the strength of the water-rich degree of the structure and then determine the well layout point. Comparing the experimental results with the collected data of the experimental area, the correctness of the scheme is proved. Compared with the traditional method of exploiting groundwater by relying on manual experience, this method of scientific exploitation of groundwater can more intuitively display the location of suitable wells on the map, with a high success rate of exploitation. In addition, it can avoid the environmental problems caused by blind exploitation.

Citation Download Citation

Wenshun Sheng, Lei Mao, Xin Chen, Jiayan Lin, and Deyin Zhang "Research on the identification of suitable well location of groundwater based on multi-source data", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127073N (8 June 2023); https://doi.org/10.1117/12.2681202

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KEYWORDS

Data storage

Water

Matrices

Geographic information systems

Analytical research

Permeability

Chromium

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