Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study

Published:2020-06 Issue: Volume:29 Page:100688
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

LV Zhihua,Zuo Junjie,Rodriguez Dragan

Funder

Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission

Shanghai Ecological Landscape Water Environment Engineering Technology Research Center

Publisher

Elsevier BV

Subject

Earth and Planetary Sciences (miscellaneous),Water Science and Technology

Reference42 articles.

1. Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas;Ali,2020

2. Impacts of land use and cover change on Paraíba do Sul whatershed streamflow using the SWAT model;Andrade;RBRH,2020

3. Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system;Choong;Flow Measurement and Instrumentation,2020

4. Application of hydrological model for assessment of water security using multi-model ensemble of CORDEX-South Asia experiments in a semi-arid river basin of India;Dubey;Ecological Engineering,2020

5. Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation;Fan;Water,2020

Cited by 57 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. Adapting reservoir operations for optimal water management under varying climate and demand scenarios using metaheuristic algorithms;Ain Shams Engineering Journal;2024-08

2. SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding;Water;2024-07-19

3. Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois;Geographies;2024-06-06

4. Retraction notice to “Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study” [J. Hydrol.: Reg. Stud. 29 (2020) 100688];Journal of Hydrology: Regional Studies;2024-06

5. Rainfall-runoff modelling – a comparison of Artificial Neural Networks (ANNs) and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS);ISH Journal of Hydraulic Engineering;2024-05-06

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