Machine learning-based modeling of surface sediment concentration in Doce river basin
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference98 articles.
1. Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci. Data 2018 5:1, 5(1), 1–12. Retrieved 29 January 2022 from https://doi.org/10.1038/sdata.2017.191.
2. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction;Afan;J. Hydrol.,2016
3. Modeling of surface sediment concentration in the Doce River basin using satellite remote sensing;Aires;J. Environ. Manage.,2022
4. Aires, U. R. V., Santos, B. S. M., Coelho, C. D., da Silva, D. D., & Calijuri, M. L. (2018). Changes in land use and land cover as a result of the failure of a mining tailings dam in Mariana, MG, Brazil. Land Use Policy, 70. Retrieved from https://doi.org/10.1016/j.landusepol.2017.10.026.
5. Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad;Al-Mukhtar;Environ. Monit. Assess.,2019
Cited by 8 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. Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest;Science of The Total Environment;2024-11
2. Machine learning-based analysis of heavy metal contamination in Chinese lake basin sediments: Assessing influencing factors and policy implications;Ecotoxicology and Environmental Safety;2024-09
3. Comprehensive river water quality monitoring using convolutional neural networks and gated recurrent units: A case study along the Vaigai River;Journal of Environmental Management;2024-08
4. Deep learning for river water quality monitoring: a CNN-BiLSTM approach along the Kaveri River;Sustainable Water Resources Management;2024-05-17
5. Interpreting and modelling the daily extreme sediment events in karst mountain watersheds;Science of The Total Environment;2024-05
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