Coupling machine learning and physical modelling for predicting runoff at catchment scale-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Coupling machine learning and physical modelling for predicting runoff at catchment scale

Published:2024-03 Issue: Volume:354 Page:120404
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Zubelzu Sergio,Ghalkha Abdulmomen,Ben Issaid Chaouki,Zanella Andrea,Bennis Medhi

Funder

European Commission

CHIST-ERA

Gobierno de España Agencia Estatal de Investigación

Publisher

Elsevier BV

Reference58 articles.

1. Wavelet-IANN model for predicting flow discharge up to several days and months ahead;Alizadeh;J. Hydroinform.,2018

2. The plumbing of land surface models: benchmarking model performance;Best;J. Hydrometeorol.,2015

3. Enhancing predictive skills in physically-consistent way: physics Informed Machine Learning for hydrological processes;Bhasme;J. Hydrol.,2022

4. Twenty-three unsolved problems in hydrology (UPH)–a community perspective;Blöschl;Hydrolog. Sci. J.,2017

5. Data assimilation for streamflow forecasting using extreme learning machines and multilayer perceptrons;Boucher;Water Resour. Res.,2020

Cited by 1 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. Enhancing Infiltration Rate Predictions with Hybrid Machine Learning and Empirical Models: Addressing Challenges in Southern India;2024-09-12

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