Copula-based joint modelling of extreme river temperature and low flow characteristics in the risk assessment of aquatic life
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Atmospheric Science,Geography, Planning and Development
Reference132 articles.
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Cited by 2 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. Compounded Wind Gusts and Maximum Temperature via Semiparametric copula joint density modelling in the risk assessments of power blackouts and air-conditioning demands for major cities in Canada;2024-01-17
2. River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT;Ecological Informatics;2023-12
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