Reconstructing Daily Discharge in a Megadelta Using Machine Learning Techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Reconstructing Daily Discharge in a Megadelta Using Machine Learning Techniques

Published:2022-05 Issue:5 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Thanh Hung Vo¹,Binh Doan Van²³^ORCID,Kantoush Sameh A.²,Nourani Vahid⁴⁵,Saber Mohamed²^ORCID,Lee Kang‐Kun¹^ORCID,Sumi Tetsuya²

Affiliation:

1. School of Earth and Environmental Sciences Seoul National University Seoul South Korea

2. Water Resources Research Center Disaster Prevention Research Institute Kyoto University Kyoto Japan

3. Master Program in Water Technology, Reuse and Management Vietnamese German University Thu Dau Mot Vietnam

4. Center of Excellence in Hydroinformatics Faculty of Civil Engineering University of Tabriz Tabriz Iran

5. Faculty of Civil and Environmental Engineering Near East University Nicosia Turkey

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031048

Reference107 articles.

1. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

2. Applying a sophisticated approach to predict CO2solubility in brines: application to CO2sequestration

3. Application of LSPIV to measure supercritical flow in steep channels with low relative submergence

4. Mutual information model selection algorithm for time series

5. A new approach for simulating and forecasting the rainfall-runoff process within the next two months

Cited by 18 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 comparison of machine learning methods for estimation of snow density using satellite images;Water and Environment Journal;2024-06-14

2. Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications;Machine Learning and Knowledge Extraction;2024-06-05

3. The role of matching pursuit algorithm and multi-scale daily rainfall data obtained from decomposition in runoff prediction;Journal of Hydrology: Regional Studies;2024-06

4. Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches;Environmental Modelling & Software;2024-05

5. A Hybrid Soft Computing Approach for Prediction of Cloud-Based Learning Management Systems Determinants;International Journal of Human–Computer Interaction;2024-01-08

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