Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield

Groundwater is essential for agriculture. This study assesses groundwater vulnerability in the Zhongyuan oilfield using the ‘pressure–state–response’ (PSR) model, integrating the analytic hierarchy process (AHP) and variable weight (VW) method to enhance spatial heterogeneity. Spearman correlation a...

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Main Authors: Yawei Zhang, Junpei Chen, Defang Zhang, Xincen Dong, Huimeng Su, Zhipeng Li, Wenfang Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2509138
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author Yawei Zhang
Junpei Chen
Defang Zhang
Xincen Dong
Huimeng Su
Zhipeng Li
Wenfang Chen
author_facet Yawei Zhang
Junpei Chen
Defang Zhang
Xincen Dong
Huimeng Su
Zhipeng Li
Wenfang Chen
author_sort Yawei Zhang
collection DOAJ
description Groundwater is essential for agriculture. This study assesses groundwater vulnerability in the Zhongyuan oilfield using the ‘pressure–state–response’ (PSR) model, integrating the analytic hierarchy process (AHP) and variable weight (VW) method to enhance spatial heterogeneity. Spearman correlation and univariate sensitivity analysis identify key factors, including oil extraction activities, net recharge, and depth to water, public expenditure, and aquifer thickness. Results show 25.48% of the area has high vulnerability, 57.67% moderate, and 16.85% low. Receiver operating characteristic (ROC) analysis validates the model performance, showing that the AHP–VW–PSR model achieves a higher area under the curve (AUC) value of 0.83, compared to 0.71 for the AHP–PSR model, indicating significantly improved predictive accuracy. Based on groundwater vulnerability, groundwater resource supply function, and ecological protection zone, the area is divided into development and utilization zone, normal zone, and protection zone. This framework optimizes groundwater management, providing scientific guidance for similar regions.
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institution OA Journals
issn 1010-6049
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language English
publishDate 2025-12-01
publisher Taylor & Francis Group
record_format Article
series Geocarto International
spelling doaj-art-0a907c025f65449daafdb00ccfea07102025-08-20T02:34:09ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2509138Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfieldYawei Zhang0Junpei Chen1Defang Zhang2Xincen Dong3Huimeng Su4Zhipeng Li5Wenfang Chen6School of Environmental Studies, China University of Geosciences, Wuhan, ChinaPrevention and Control Center for the Geological Disaster of Henan Geological Bureau, Zhengzhou, ChinaSchool of Environmental Studies, China University of Geosciences, Wuhan, ChinaPrevention and Control Center for the Geological Disaster of Henan Geological Bureau, Zhengzhou, ChinaSchool of Environmental Studies, China University of Geosciences, Wuhan, ChinaPrevention and Control Center for the Geological Disaster of Henan Geological Bureau, Zhengzhou, ChinaPrevention and Control Center for the Geological Disaster of Henan Geological Bureau, Zhengzhou, ChinaGroundwater is essential for agriculture. This study assesses groundwater vulnerability in the Zhongyuan oilfield using the ‘pressure–state–response’ (PSR) model, integrating the analytic hierarchy process (AHP) and variable weight (VW) method to enhance spatial heterogeneity. Spearman correlation and univariate sensitivity analysis identify key factors, including oil extraction activities, net recharge, and depth to water, public expenditure, and aquifer thickness. Results show 25.48% of the area has high vulnerability, 57.67% moderate, and 16.85% low. Receiver operating characteristic (ROC) analysis validates the model performance, showing that the AHP–VW–PSR model achieves a higher area under the curve (AUC) value of 0.83, compared to 0.71 for the AHP–PSR model, indicating significantly improved predictive accuracy. Based on groundwater vulnerability, groundwater resource supply function, and ecological protection zone, the area is divided into development and utilization zone, normal zone, and protection zone. This framework optimizes groundwater management, providing scientific guidance for similar regions.https://www.tandfonline.com/doi/10.1080/10106049.2025.2509138Groundwater vulnerabilityindustrial and agricultural impactpressure–state–response modelvariable weight theory
spellingShingle Yawei Zhang
Junpei Chen
Defang Zhang
Xincen Dong
Huimeng Su
Zhipeng Li
Wenfang Chen
Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
Geocarto International
Groundwater vulnerability
industrial and agricultural impact
pressure–state–response model
variable weight theory
title Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
title_full Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
title_fullStr Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
title_full_unstemmed Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
title_short Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield
title_sort based on ahp vw psr for groundwater vulnerability assessment and pollution prevention in industrial agricultural regions a case study of the zhongyuan oilfield
topic Groundwater vulnerability
industrial and agricultural impact
pressure–state–response model
variable weight theory
url https://www.tandfonline.com/doi/10.1080/10106049.2025.2509138
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