Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator-Reference-Cited by-同舟云学术

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Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator

Published:2024-09 Issue: Volume:111 Page:104753
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Wang Hongfa,Guan Xinjian,Meng Yu,Wang Huiliang,Xu Hongshi,Liu Yuan,Liu Meng,Wu Zening

Funder

National Natural Science Foundation of China

Natural Science Foundation of Henan Province

Publisher

Elsevier BV

Reference62 articles.

1. Progress on disaster mechanism and risk assessment of urban flood/waterlogging disasters in China;Xu;Adv. Water Sci.,2020

2. Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood;Zhou;J. Hydrol.,2023

3. Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions;Zhang;Stoch. Environ. Res. Risk Assess.,2023

4. Investigating the role of refining urban flood direct loss in enhancing the accuracy of indirect economic loss assessment;Zhuang;Int. J. Disaster Risk Reduc.,2024

5. Risk perception and resilience assessment of flood disasters based on social media big data;Li;Int. J. Disaster Risk Reduc.,2024

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