Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood-Reference-Cited by-同舟云学术

Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood

Published:2023-11 Issue: Volume:626 Page:130152
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Zhou Yihong,Wu Zening,Xu Hongshi,Yan Denghua,Jiang Mengmeng^ORCID,Zhang Xiangyang,Wang Huiliang^ORCID

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference48 articles.

1. Blending high-resolution satellite rainfall estimates over urban catchment using bayesian model averaging approach;Asfaw;J. Hydrol.: Reg. Stud.,2023

2. Changes in future rainfall extremes over northeast bangladesh: A bayesian model averaging approach;Basher;Int. J. Climatol.,2020

3. The role of modeling scheme and model input factors uncertainty in the analysis and mitigation of backwater induced urban flood-risk;Cappato;J. Hydrol.,2022

4. Model averaging for asymptotically optimal combined forecasts;Chen;J. Econometrics.,2023

5. Risk assessment for people and vehicles in an extreme urban flood: Case study of the “7.20” flood event in zhengzhou, china;Dong;Int. J. Disaster Risk Reduct.,2022

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator;International Journal of Disaster Risk Reduction;2024-09

2. Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios;Sustainable Cities and Society;2024-08

3. A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city;Journal of Hydrology;2024-08

4. Solving flood problems with deep learning technology: Research status, strategies, and future directions;Sustainable Development;2024-06-08

5. Geographic heterogeneity of activation functions in urban real-time flood forecasting: Based on seasonal trend decomposition using Loess-Temporal Convolutional Network-Gated Recurrent Unit model;Journal of Hydrology;2024-06