Large-scale groundwater pollution risk assessment research based on artificial intelligence technology: A case study of Shenyang City in Northeast China
Building on the concepts of groundwater vulnerability and pollution driving factors, this study incorporates the social response to environmental risks, selecting a total of 23 indicators to construct a groundwater pollution risk assessment system suitable for large regions. Furthermore, integrating...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24013724 |
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