Monthly Streamflow Forecasting Using Decomposition-Based Hybridization with Two-step Verification Method Over the Mangla Watershed, Pakistan
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40996-022-00947-1.pdf
Reference58 articles.
1. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91
2. Aggarwal SK, Goel A, Singh VP (2012) Stage and discharge forecasting by SVM and ANN techniques. Water Resour Manag 26:3705–3724. https://doi.org/10.1007/s11269-012-0098-x
3. Ahmed JA, Sarma AK (2007) Artificial neural network model for synthetic streamflow generation. Water Resour Manag 21:1015–1029
4. Alam A, Bhat MS, Maheen M (2020) Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal 85:1529–1543
5. Ali Z, Hussain I, Faisal M et al (2017) Forecasting drought using multilayer perceptron artificial neural network model. Adv Meteorol. https://doi.org/10.1155/2017/5681308
Cited by 3 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. A fusion-based framework for daily flood forecasting in multiple-step-ahead and near-future under climate change scenarios: a case study of the Kan River, Iran;Natural Hazards;2024-04-03
2. Research on Runoff Flow Prediction Based on Variational Mode Decomposition and PSO-SVM Model;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15
3. Multi-model fusion-based framework for daily flood forecasting in multiple-step-ahead and near future under climate change scenarios;2023-09-29
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