Analyzing the rainfall trend and hydroclimatic teleconnections using Hilbert Huang Transform for the coastal smart cities of India

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Sourav Mandal , S. Yuvaraj , Jublee Mazumdar , Joydeep Ballav
{"title":"Analyzing the rainfall trend and hydroclimatic teleconnections using Hilbert Huang Transform for the coastal smart cities of India","authors":"Sourav Mandal ,&nbsp;S. Yuvaraj ,&nbsp;Jublee Mazumdar ,&nbsp;Joydeep Ballav","doi":"10.1016/j.uclim.2024.102204","DOIUrl":null,"url":null,"abstract":"<div><div>The changing climatic patterns associated with intense and erratic rainfall have led to high flooding risk in urban areas. Identifying these hydro-meteorological risks in cities is a matter of concern for decision-makers. The present study investigates long-term rainfall variability and trend analysis in 11 coastal smart cities in India. A relatively new approach involving the Hilbert–Huang transform (HHT) method is used to identify long-term trends by investigating time-frequency characterization. The study shows that the rainfall trend with a periodicity of 12.5–15.6 years is significantly increasing for Panaji while decreasing for Thane during the southwest monsoon (SWM), even though both cities are located on the west coast of India and are mainly influenced by SWM. Further, the intensity of northeast monsoon (NEM) decreased in Chennai, while the influence of SWM has increased in recent decades. Thane shows a firm decreasing rainfall trend, which is alarming and potent among the studied cities. Subsequently, a detailed co-relation study investigates a link between the changing rainfall patterns and global climate indices. The results illustrate that the influence of climatic indices is highly dynamic city-wise. The present method is very efficient and effective for analyzing rainfall variability in the context of coastal urban areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102204"},"PeriodicalIF":6.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095524004012","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The changing climatic patterns associated with intense and erratic rainfall have led to high flooding risk in urban areas. Identifying these hydro-meteorological risks in cities is a matter of concern for decision-makers. The present study investigates long-term rainfall variability and trend analysis in 11 coastal smart cities in India. A relatively new approach involving the Hilbert–Huang transform (HHT) method is used to identify long-term trends by investigating time-frequency characterization. The study shows that the rainfall trend with a periodicity of 12.5–15.6 years is significantly increasing for Panaji while decreasing for Thane during the southwest monsoon (SWM), even though both cities are located on the west coast of India and are mainly influenced by SWM. Further, the intensity of northeast monsoon (NEM) decreased in Chennai, while the influence of SWM has increased in recent decades. Thane shows a firm decreasing rainfall trend, which is alarming and potent among the studied cities. Subsequently, a detailed co-relation study investigates a link between the changing rainfall patterns and global climate indices. The results illustrate that the influence of climatic indices is highly dynamic city-wise. The present method is very efficient and effective for analyzing rainfall variability in the context of coastal urban areas.
利用希尔伯特-黄变换分析印度沿海智慧城市的降雨趋势和水文气候远程联系
与强降雨和不稳定降雨相关的气候模式不断变化,导致城市地区的洪水风险居高不下。识别城市中的这些水文气象风险是决策者关心的问题。本研究调查了印度 11 个沿海智慧城市的长期降雨变异性和趋势分析。通过调查时间频率特性,使用了一种涉及希尔伯特-黄变换(HHT)方法的相对较新的方法来识别长期趋势。研究结果表明,在西南季风(SWM)期间,帕纳吉的降雨趋势(周期为 12.5-15.6 年)明显增加,而塔内则有所减少,尽管这两个城市都位于印度西海岸,主要受西南季风影响。此外,近几十年来,钦奈的东北季风强度有所下降,而西南季风的影响则有所增加。在所研究的城市中,塔内的降雨量呈持续下降趋势,令人担忧。随后,一项详细的相关研究调查了降雨模式变化与全球气候指数之间的联系。结果表明,气候指数对城市的影响是高度动态的。本方法对于分析沿海城市地区的降雨变化非常有效。
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
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信