Influencing Factors and Risk Assessment of Precipitation-Induced Flooding in Zhengzhou, China, Based on Random Forest and XGBoost Algorithms
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- Jingjing Luo & Shiyan Zhai & Genxin Song & Xinxin He & Hongquan Song & Jing Chen & Huan Liu & Yuke Feng, 2022. "Assessing Inequity in Green Space Exposure toward a “15-Minute City” in Zhengzhou, China: Using Deep Learning and Urban Big Data," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
- Zening Wu & Yanxia Shen & Huiliang Wang, 2019. "Assessing Urban Areas’ Vulnerability to Flood Disaster Based on Text Data: A Case Study in Zhengzhou City," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
- Huawei Li & Guifang Wang & Guohang Tian & Sándor Jombach, 2020. "Mapping and Analyzing the Park Cooling Effect on Urban Heat Island in an Expanding City: A Case Study in Zhengzhou City, China," Land, MDPI, vol. 9(2), pages 1-17, February.
- José I. Barredo & Guy Engelen, 2010. "Land Use Scenario Modeling for Flood Risk Mitigation," Sustainability, MDPI, vol. 2(5), pages 1-18, May.
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- Changhong Zhou & Mu Chen & Jiangtao Chen & Yu Chen & Wenwu Chen, 2024. "A Multi-Hazard Risk Assessment Model for a Road Network Based on Neural Networks and Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
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Keywords
precipitation-induced flooding; influencing factors; risk assessment; random forest; XGBoost;All these keywords.
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