Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03743-w.pdf
Reference51 articles.
1. Bassi A, Manchanda A, Singh R, Patel M (2023a) A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete. Nat Hazards 118(1):209–238
2. Bassi A, Mir AA, Kumar B, Patel M (2023b) A comprehensive study of various regressions and deep learning approaches for the prediction of friction factor in mobile bed channels. J Hydroinf 25(6):2500–2521
3. Beven KJ, Cloke HL (2012) Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water” by Eric F. Wood et al. Water Resour Res 48:3
4. Bouizrou I, Chahinian N, Perrin J-L, Muller R, Rais N (2021) Network representation in hydrological modelling on urban catchments in data-scarce contexts: a case study on the Oued Fez catchment (Morocco). J Hydrol Reg Stud 34:100800
5. Brown IW, McDougall K, Alam MJ, Chowdhury R, Chadalavada S (2022) Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia. J Hydrol Reg Stud 40:101021
Cited by 2 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. An Improved Coupled Hydrologic-Hydrodynamic Model for Urban Flood Simulations Under Varied Scenarios;Water Resources Management;2024-08-26
2. Assessing the effects of sponge city construction in Beijing with an improved coupled hydrologic-hydrodynamic model;2024-04-30
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