A hydrodynamic-machine learning coupled (HMC) model of real-time urban flood in a seasonal river basin using mechanism-assisted temporal cross-correlation (MTC) for space decoupling
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference46 articles.
1. An ensemble neural network model for real-time prediction of urban floods;Berkhahn;J. Hydrol.,2019
2. Overland-gully-sewer (2D–1D-1D) urban inundation modeling based on cellular automata framework;Chang;J. Hydrol.,2021
3. Uncertainty in the model parameters due to spatial variability of rainfall;Chaubey;J. Hydrol.,1999
4. A coupled river basin-urban hydrological model (DRIVE-Urban) for real-time urban flood modeling;Chen;WATER Resour. Res.,2022
5. Costache, R., Arabameri, A., Elkhrachy, I., Ghorbanzadeh, O., Pham, Q.B., 2021. Detection of areas prone to flood risk using state-of-the-art machine learning models. GEOMATICS Nat. HAZARDS RISK 12, 1488–1507. https://doi.org/10.1080/19475705.2021.1920480 WE - Science Citation Index Expanded (SCI-EXPANDED).
Cited by 4 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. Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm: A case study of central Beijing, China;Landscape and Urban Planning;2024-12
2. Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques;Science of The Total Environment;2024-11
3. 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
4. Urban Waterlogging Prediction Based on Time Lag Correlation Analysis and Multi-model Coupling;2023-09-13
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3