气候变化领域集成服务门户(CCPortal): Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques

CCPortal

DOI	10.1007/s12205-024-1338-3
	Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques
	Nair, Arathy Nair Geetha Raveendran; Sankaran, Adarsh; Suresh, Anishka Priya; Thomas, Celina; Ajith, Aiswarya Kavitha; Vasanthan, Amalenthu Anitha
发表日期	2024
ISSN	1226-7988
EISSN	1976-3808
起始页码	28
结束页码	6
卷号	28 期号:6
英文摘要	The hydrological cycle is significantly impacted by climatic changes, and understanding such changes using statistical or graphical methods is essential for proper management of water resources. This study performs the applications of two most recently proposed variants of popular Sen's Innovative Trend Analysis (ITA) methods namely Innovative Polygonal Trend Analysis (IPTA) and Innovative Trend Pivot Analysis (ITPA) for analysing the temporal trend of rainfall data of India. The rainfall data of All India along with five Homogeneous regions spanning from 1871-2016, are considered for this study. In order to determine the transition of changes throughout months and seasons, the trend length and trend slope were computed, which explicitly demonstrated a climatic shift in the rainfall of the Indian main land. The IPT and ITP analyses were carried out on both arithmetic mean (AM) and standard deviation (SD) based frameworks and SD of the data is found to be more decisive for monthly and seasonal rainfall over Indian regions in inducing climate non stationarity. The Central Northeast and North East regions show vulnerability to changing climate in rainfall magnitude and variability, while North West and West Central regions brings more risk as captured by ITPA method.
英文关键词	Rainfall; Trend analysis; Risk class; Innovative trend; Climate change; Non stationarity
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Civil
WOS记录号	WOS:001197084400011
来源期刊	KSCE JOURNAL OF CIVIL ENGINEERING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294358
作者单位	Thangal Kunju Musaliar College of Engineering
推荐引用方式 GB/T 7714	Nair, Arathy Nair Geetha Raveendran,Sankaran, Adarsh,Suresh, Anishka Priya,et al. Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques[J],2024,28(6).
APA	Nair, Arathy Nair Geetha Raveendran,Sankaran, Adarsh,Suresh, Anishka Priya,Thomas, Celina,Ajith, Aiswarya Kavitha,&Vasanthan, Amalenthu Anitha.(2024).Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques.KSCE JOURNAL OF CIVIL ENGINEERING,28(6).
MLA	Nair, Arathy Nair Geetha Raveendran,et al."Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques".KSCE JOURNAL OF CIVIL ENGINEERING 28.6(2024).