Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 47(2)
Published: Dec. 24, 2024
Language: Английский
Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 47(2)
Published: Dec. 24, 2024
Language: Английский
Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(18)
Published: Sept. 1, 2024
Language: Английский
Citations
16Applied Water Science, Journal Year: 2025, Volume and Issue: 15(5)
Published: April 29, 2025
Language: Английский
Citations
0Arabian Journal of Geosciences, Journal Year: 2024, Volume and Issue: 17(2)
Published: Jan. 26, 2024
Language: Английский
Citations
2Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2023, Volume and Issue: 8(4), P. 893 - 905
Published: Aug. 18, 2023
Language: Английский
Citations
6Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2023, Volume and Issue: 9(1), P. 325 - 337
Published: Dec. 14, 2023
Language: Английский
Citations
4Arabian Journal of Geosciences, Journal Year: 2024, Volume and Issue: 17(3)
Published: Feb. 7, 2024
Language: Английский
Citations
1Discover Water, Journal Year: 2024, Volume and Issue: 4(1)
Published: Oct. 1, 2024
Language: Английский
Citations
1Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(11)
Published: Oct. 5, 2024
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 23, 2024
Abstract Land subsidence has always been a concern of geoscience, and exploring the factors affecting land to predict future is essential research. However, current research rarely scientific unified feature screening process for features. This study applies neural networks SHAP values prediction. We used instead traditional random forest (RF) quantify features areas where likely occur in cities Chongqing Chengdu, encompassing majority possible scenarios future. The results show that prediction using improves model accuracy by 16% compared method. After input optimization, performance nearly 22%. found optimization method based on proposed this more helpful prediction, derived from data analysis with complex terrain are also consistent previous studies. can contribute variable selection model, improve accuracy, provide solid theoretical support preventing urban subsidence.
Language: Английский
Citations
0Arabian Journal of Geosciences, Journal Year: 2024, Volume and Issue: 17(3)
Published: Feb. 19, 2024
Language: Английский
Citations
0