Using climate information as covariates to improve nonstationary flood frequency analysis in Brazil-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using climate information as covariates to improve nonstationary flood frequency analysis in Brazil

Published:2023-04-03 Issue:5 Volume:68 Page:645-654
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Anzolin Gabriel¹^ORCID,Chaffe Pedro Luiz Borges²^ORCID,Vrugt Jasper A.³^ORCID,AghaKouchak Amir³^ORCID

Affiliation:

1. Graduate Program in Environmental Engineering, Federal University of Santa Catarina, Florianopolis, Brazil

2. Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianopolis, Brazil

3. Department of Civil and Environmental Engineering, University of California Irvine, Irvine, CA, USA

Funder

CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and CNPq

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2023.2182212

Reference36 articles.

1. Detection and Attribution of Recent Climate Change: A Status Report

2. Nonstationarity in maximum annual daily streamflow series from Southern Brazil

3. Statistical Theory and Numerical Results

4. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

5. An Introduction to Statistical Modeling of Extreme Values

Cited by 4 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. Coupling higher-order probability weighted moments with norming constants method for non-stationary annual maximum flood frequency analysis;Journal of Hydrology;2024-09

2. Nonstationary frequency analysis of extreme precipitation: Embracing trends in observations;Journal of Hydrology;2024-06

3. Equitable infrastructure: Achieving resilient systems and restorative justice through policy and research innovation;PNAS Nexus;2024-04-15

4. A Non-Stationarity Analysis of Annual Maximum Floods: A Case Study of Campaspe River Basin, Australia;Water;2023-10-21

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