Improved River Flood Routing with Spatially Variable Exponent Muskingum Model and Sine Cosine Optimization Algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improved River Flood Routing with Spatially Variable Exponent Muskingum Model and Sine Cosine Optimization Algorithm

Published:2023-08-31 Issue:3 Volume:10 Page:
ISSN:2198-7491
Container-title:Environmental Processes
language:en
Short-container-title:Environ. Process.

Author:

Atashi Vida,Barati Reza,Lim Yeo Howe

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40710-023-00658-3.pdf

Reference48 articles.

1. Abualigah L, Diabat A (2021) Advances in sine cosine algorithm: a comprehensive survey. Artif Intell Rev 54(4):2567–2608. https://doi.org/10.1007/s10462-020-09909-3

2. Akbari GH, Barati R (2012) Comprehensive analysis of flooding in unmanaged catchments. In: Proceedings of the Institution of Civil Engineers-Water Management. Thomas Telford Ltd, pp 229-238. https://doi.org/10.1680/wama.10.00036

3. Akbari GH, Nezhad AH, Barati R (2012) Developing a model for analysis of uncertainties in prediction of floods. J Adv Res 3(1):73–79. https://doi.org/10.1016/j.jare.2011.04.004

4. Akbari R, Hessami-Kermani M-R, Shojaee S (2019) Flood Routing using Gravitational Search Algorithm and Investigation of Hydrological Parameters Uncertainty of Nonlinear Muskingum Model. J Hydraulics 14(3):17. https://doi.org/10.30482/JHYD.2019.98964

5. Alizadeh MJ, Shahheydari H, Kavianpour MR, Shamloo H, Barati R (2017) Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network. Environ Earth Sci 76:1–11. https://doi.org/10.1007/s12665-016-6379-6

Cited by 11 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. Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff;Journal of Hydroinformatics;2024-09-02

2. Modeling the successive failure of complex dams systems: A necessity in the light of climatic shifts in extreme storms;Ain Shams Engineering Journal;2024-08

3. River Water Temperature Prediction Using a Hybrid Model Based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine;Environmental Processes;2024-07-19

4. Enhancing Flood Routing Accuracy: A Fuzzified Approach to Nonlinear Variable-Parameter Muskingum Model;Water Resources Management;2024-05-03

5. Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff;Water Resources Management;2024-04-02

同舟云学术

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