Heavy rainfalls in Poland and their hyetographs

IF 5.8 2区环境科学与生态学 Q2 ENGINEERING, ENVIRONMENTAL

Ambio Pub Date : 2024-09-16 DOI:10.1007/s13280-024-02069-6

Karol Mikołajewski, Alfred Stach, Marek Ruman, Klaudia Kosek, Zbigniew W. Kundzewicz, Paweł Licznar

{"title":"Heavy rainfalls in Poland and their hyetographs","authors":"Karol Mikołajewski, Alfred Stach, Marek Ruman, Klaudia Kosek, Zbigniew W. Kundzewicz, Paweł Licznar","doi":"10.1007/s13280-024-02069-6","DOIUrl":null,"url":null,"abstract":"<div><p>In the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.</p></div>","PeriodicalId":461,"journal":{"name":"Ambio","volume":"54 1","pages":"86 - 104"},"PeriodicalIF":5.8000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13280-024-02069-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ambio","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s13280-024-02069-6","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}

引用次数: 0

Abstract

In the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.

Abstract Image

查看原文本刊更多论文

波兰的暴雨及其气象图

鉴于观察到的降水模式的多变性，对定期更新的降雨记录数据库进行全面数据挖掘的需求日益增长。因此，我们利用波兰各地 100 个雨量计的 30 年高分辨率数据集对暴雨和湿度图进行了分析，涵盖 31 646 次降雨事件。研究探讨了降雨深度、持续时间和强度的分布，并将最大降雨量与全球记录进行了比较。空间分析表明，不同地区极端降雨的频率、深度和持续时间存在显著差异。聚类分析确定了每个站点的模型水文图。利用指标克里金法评估了各地区属于具有三至五个模型降水序列的集群的可能性。研究结果强调了在排水系统和未来降雨情景的水动力建模中使用当地特征降雨的重要性。这些结果为了解和监测未来几十年气候变化对降雨特征，特别是极端降雨的影响迈出了基础性的一步。

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

Ambio 环境科学-工程：环境

CiteScore

14.30

自引率

3.10%

发文量

123

审稿时长

6 months

期刊介绍： Explores the link between anthropogenic activities and the environment, Ambio encourages multi- or interdisciplinary submissions with explicit management or policy recommendations. Ambio addresses the scientific, social, economic, and cultural factors that influence the condition of the human environment. Ambio particularly encourages multi- or inter-disciplinary submissions with explicit management or policy recommendations. For more than 45 years Ambio has brought international perspective to important developments in environmental research, policy and related activities for an international readership of specialists, generalists, students, decision-makers and interested laymen.