Ensemble just-in-time learning model driven by multi-similarity measurement methods for urban flood rapid prediction-Reference-Cited by-同舟云学术

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Ensemble just-in-time learning model driven by multi-similarity measurement methods for urban flood rapid prediction

Published:2025-11 Issue: Volume:661 Page:133732
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Chen Guangzhao,Hou Jingming^ORCID,Dong Haoqiang,Zhou Xia,Hu Yuan,Pan XinXin,Lv Jiahao

Publisher

Elsevier BV

Reference48 articles.

1. Study on the sensitivity of urban inundation and watershed flood simulation to rainfall data spatial resolution;Chen;J. Urban Clim.,2024

2. Urban inundation rapid prediction method based on multi-machine learning algorithm and rain pattern analysis;Chen;J. Hydrol.,2024

3. High-resolution urban flood forecasting by using a coupled atmospheric and hydrodynamic flood models;Chen;Front. Earth Sci.,2020

4. The effect of spatial-temporal characteristics of rainfall on urban inundation processes;Chen;J. Hydrol. Process.,2022

5. Adaptive weighting just-in-time-learning quality prediction model for an industrial blast furnace;Chen;ISIJ Int.,2017

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