干旱区生态环境知识资源中心(Arid): Analyzing the long-term variability and trend of aridity in India using non-parametric approach

Arid

DOI	10.1007/s00477-023-02483-4
	Analyzing the long-term variability and trend of aridity in India using non-parametric approach
	Choudhary, Akshita; Mahato, Susanta; Roy, P. S.; Pandey, Deep Narayan; Joshi, P. K.
通讯作者	Joshi, PK
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2023
卷号	37 期号:10 页码:3837-3854
英文摘要	Aridity is a climatic phenomenon characterized by shortage of water availability in a given time and space resulting in low moisture and reduced carrying capacity of ecosystems. It is represented by a numerical indicator known as Aridity Index (AI), a function of rainfall and temperature. Aridification is a slow and steady effect of climate change and assessing its spread and change is vital in context of global climatic variations. Aridity is predominantly significant for agrarian countries like India, where a slight rise in drylands area can have a significant impact on the economy and community sustenance. AI is an inclusive indicator of climatic conditions in most arid and semi-arid regions. It helps in identifying and interpreting large scale trend in temperature and precipitation; and thus, classifying region into different climatic classes. The present study assessed long-term AI based on precipitation and temperature data obtained from the India Meteorological Department at the resolution of 1 x 1 degree for years 1969-2017. AI is estimated as a ratio of mean precipitation to mean potential evapotranspiration, calculated using Thornthwaite method. The results highlight the trend of aridity over pan-India with Innovative Trend Analysis and Mann-Kendall test. The study concludes that there is a relatively slow, however steadily progressive drier conditions being established in most of the regions. A shift from 'Semi-arid' towards 'Arid' class appeared in central mainland. The north-eastern Himalaya showed decrease in humid conditions ('Humid' to 'Sub-humid'). The study implies that there is a rising aridity trend over the years due to changing climatic conditions. The shifts in aridity can have serious implications on agriculture, long-term water resource utilization and land use management plans. Our results have scope for future landscape management studies in drylands and better adaptation methods in arid regions.
英文关键词	Aridity index (AI) Climate change Thornthwaite Potential evapotranspiration (PET) Mann-Kendall test
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001002583900001
WOS关键词	SUMMER MONSOON ; CLIMATE-CHANGE ; RAINFALL TRENDS ; TEMPERATURE ; PRECIPITATION ; IMPACT ; CLASSIFICATION
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398729
推荐引用方式 GB/T 7714	Choudhary, Akshita,Mahato, Susanta,Roy, P. S.,et al. Analyzing the long-term variability and trend of aridity in India using non-parametric approach[J],2023,37(10):3837-3854.
APA	Choudhary, Akshita,Mahato, Susanta,Roy, P. S.,Pandey, Deep Narayan,&Joshi, P. K..(2023).Analyzing the long-term variability and trend of aridity in India using non-parametric approach.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,37(10),3837-3854.
MLA	Choudhary, Akshita,et al."Analyzing the long-term variability and trend of aridity in India using non-parametric approach".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 37.10(2023):3837-3854.