Susceptibility assessment of earth fissure related to groundwater extraction using machine learning methods combined with weights of evidence

Wei, Aihua; Chen, Yuanyao; Zhao, Haijun; Liu, Zhao; Yang, Likui; Yan, Liangdong; Li, Hui

doi:10.1007/s11069-023-06198-1

Nat Hazards

2023

DOI: 10.1007/s11069-023-06198-1

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Susceptibility assessment of earth fissure related to groundwater extraction using machine learning methods combined with weights of evidence

Aihua Wei,

Yuanyao Chen,

Haijun Zhao

et al.

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Cited by 3 publications

References 37 publications

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Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

Liu,

Huan,

et al. 2024

Expo Health

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Groundwater pollution risk assessment is a useful tool for groundwater pollution prevention and control. However, it is difficult to accurately quantify groundwater flow and contaminant fluxes in karst areas and different types of karst areas have different hydrogeological characteristics. Therefore, the assessment of groundwater pollution risk in karst areas must use different assessment indicator systems. This study developed a new methodology that modified the vulnerability assessment model PLEIK, determined pollutant fluxes considering hydrogeological conditions, and revised parameter weights using the random forest method. The resulting PLEIKD-RF model was used to assess the risk of groundwater contamination in the southwestern karst region and its validity was verified. The results showed that the groundwater pollution risk in the region was low, with 65.64% of the low and relatively low risk areas located in the middle and high mountainous regions. 11.81% of the high and relatively high risk areas were sporadically located in the western and central regions, which were mainly controlled by the distribution of the pollution sources and the karst development. The accuracy of the results of groundwater pollution risk assessment in the study area was 71.87% as verified by the horizontal difference method. The results of the sensitivity analysis indicated that accurate, detailed, and representative data on the protective layer, surface water-groundwater interactions, and pollution source loads would improve the accuracy of groundwater pollution risk zoning. This assessment method provided a reference for similar assessments and the results provide a basis for the protection and management of groundwater resources in the region.

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Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

Liu,

Huan,

et al. 2024

Expo Health

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Improving the performance of evidential belief function model using five machine learning models in earth fissure susceptibility mapping

Chen,

Wang,

Arabameri

et al. 2025

Advances in Space Research

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Prediction of earth-fissure hazards: Unraveling the crucial roles of land use and groundwater fluctuations

Jun,

Kim,

Bateni

et al. 2025

Environmental Impact Assessment Review

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Susceptibility assessment of earth fissure related to groundwater extraction using machine learning methods combined with weights of evidence

Cited by 3 publications

References 37 publications

Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

Improving the performance of evidential belief function model using five machine learning models in earth fissure susceptibility mapping

Prediction of earth-fissure hazards: Unraveling the crucial roles of land use and groundwater fluctuations

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