Daily Streamflow Forecasting Based on Flow Pattern Recognition
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-02971-8.pdf
Reference40 articles.
1. Asadi S, Shahrabi J, Abbaszadeh P, Tabanmehr S (2013) A new hybrid artificial neural networks for rainfall-runoff process modeling. Neurocomputing 121:470–480. https://doi.org/10.1016/j.neucom.2013.05.023
2. Badrzadeh H, Sarukkalige R, Jayawardena AW (2016) Improving Ann-based short-term and long-term seasonal river flow forecasting with signal processing techniques. River Res Appl 32(3):245–256. https://doi.org/10.1002/rra.2865
3. Behzad M, Asghari K, Eazi M, Palhang M (2009) Generalization performance of support vector machines and neural networks in runoff modeling. Expert Systems with Applications 36(4): 7624–7629. https://doi.org/10.1016/j.eswa.2008.09.053
4. Bi XY, Li B, Lu WL, Zhou XZ (2020) Daily runoff forecasting based on data-augmented neural network model. J Hydroinform 22(4):900–915. https://doi.org/10.2166/hydro.2020.017
5. Chang W, Chen X (2018) Monthly rainfall-runoff modeling at watershed scale: a comparative study of data-driven and theory-driven approaches. Water 10(9). https://doi.org/10.3390/w10091116
Cited by 9 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. Daily Runoff Prediction Based on FA-LSTM Model;Water;2024-08-06
2. Interpretable and explainable hybrid model for daily streamflow prediction based on multi-factor drivers;Environmental Science and Pollution Research;2024-05-06
3. Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction;Water;2024-04-20
4. Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review;Sustainability;2024-02-06
5. Short-term Prediction Method of Reservoir Downstream Water Level Under Complicated Hydraulic Influence;Water Resources Management;2023-08-11
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