Implementation of a probability matching method in developing intensity–duration–frequency relationships for sub-daily durations using IMERG satellite-based data

IF 2.8 3区环境科学与生态学 Q2 WATER RESOURCES

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-07-24 DOI:10.1080/02626667.2023.2229817

Rahim Najafi Tireh Shabankareh, M. J. Abedini

{"title":"Implementation of a probability matching method in developing intensity–duration–frequency relationships for sub-daily durations using IMERG satellite-based data","authors":"Rahim Najafi Tireh Shabankareh, M. J. Abedini","doi":"10.1080/02626667.2023.2229817","DOIUrl":null,"url":null,"abstract":"ABSTRACT Reliable estimation of design rainfall in time and space can play a significant role in reducing flood-related losses. However, many parts of the world suffer from a lack of dense raingauge networks. Under this condition, the use of satellite-based data can be an alternative solution. In this research, using data from a dense ground-based raingauge network and Integrated Multi-satellitE Retrievals for GPM (IMERG) satellite-based precipitation product, the performance of a probability matching method for satellite-based extreme values has been investigated. The results indicate that the correction model, especially at shorter durations, is able to reduce the error of extreme values of raw satellite-based estimates, and its performance is not affected significantly by the density of the available raingauge network. In conclusion, implementation of the proposed method in poorly gauged regions can play an effective role in providing a reliable estimate of the design rainfall and eventually reducing the financial losses caused by floods.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1648 - 1662"},"PeriodicalIF":2.8000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/02626667.2023.2229817","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACT Reliable estimation of design rainfall in time and space can play a significant role in reducing flood-related losses. However, many parts of the world suffer from a lack of dense raingauge networks. Under this condition, the use of satellite-based data can be an alternative solution. In this research, using data from a dense ground-based raingauge network and Integrated Multi-satellitE Retrievals for GPM (IMERG) satellite-based precipitation product, the performance of a probability matching method for satellite-based extreme values has been investigated. The results indicate that the correction model, especially at shorter durations, is able to reduce the error of extreme values of raw satellite-based estimates, and its performance is not affected significantly by the density of the available raingauge network. In conclusion, implementation of the proposed method in poorly gauged regions can play an effective role in providing a reliable estimate of the design rainfall and eventually reducing the financial losses caused by floods.

查看原文本刊更多论文

使用IMERG卫星数据开发亚日持续时间的强度-持续时间-频率关系的概率匹配方法的实现

摘要在时间和空间上对设计降雨量的可靠估计可以在减少洪水相关损失方面发挥重要作用。然而，世界上许多地区缺乏密集的雨量计网络。在这种情况下，使用基于卫星的数据可能是一种替代解决方案。在这项研究中，利用密集地基雨量计网络的数据和基于GPM（IMERG）卫星的降水产品的综合多卫星E Retrievals，研究了一种基于卫星的极值概率匹配方法的性能。结果表明，该校正模型，尤其是在较短的持续时间内，能够降低原始卫星估计的极值误差，并且其性能不受可用雨量计网络密度的显著影响。总之，在测量较差的地区实施所提出的方法可以发挥有效作用，为设计降雨量提供可靠的估计，并最终减少洪水造成的经济损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 环境科学-水资源

CiteScore

6.60

自引率

11.40%

发文量

144

审稿时长

9.8 months

期刊介绍： Hydrological Sciences Journal is an international journal focused on hydrology and the relationship of water to atmospheric processes and climate. Hydrological Sciences Journal is the official journal of the International Association of Hydrological Sciences (IAHS). Hydrological Sciences Journal aims to provide a forum for original papers and for the exchange of information and views on significant developments in hydrology worldwide on subjects including: Hydrological cycle and processes Surface water Groundwater Water resource systems and management Geographical factors Earth and atmospheric processes Hydrological extremes and their impact Hydrological Sciences Journal offers a variety of formats for paper submission, including original articles, scientific notes, discussions, and rapid communications.