干旱区生态环境知识资源中心(Arid): Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater

Arid

DOI	10.1002/joc.8590
	Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater
	Bilal, Syed Bakhtawar; Gupta, Vivek
通讯作者	Gupta, V
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN	0899-8418
EISSN	1097-0088
出版年	2024
英文摘要	Droughts, depending on their nature, have had devastating consequences, including crop destruction, famine and millions of deaths, particularly in countries like India that heavily rely on rainfall for agriculture. The present study aims to quantify the linkage between meteorological, agricultural and hydrological drought at a high spatial resolution across India. These connections were established by developing various drought propagation metrics followed by subsequent correlation analysis, lag analysis and clustering. Standard Precipitation Index (SPI), Deviation in NDVI (Dev-NDVI) and GRACE Drought Severity Index (GRACE-DSI) were used to represent meteorological, agricultural and hydrological droughts. Run theory with thresholds of -1, -0.5 and -0.05 were used to delineate the drought events for meteorological, hydrological and agricultural droughts, respectively. Furthermore, multivariate K-means clustering based on factors such as drought duration, latitude, longitude, severity, propagation and recovery speeds was done to create spatial clusters having similar drought characteristics. Correlation analysis showed the highest average correlations at a lag of around 7-8 months between meteorological and hydrological drought, a lag of 1-2 months in case of meteorological and agricultural drought and a lag of 3-4 months between agricultural and hydrological drought. The analysis of drought duration indicated that, on average, meteorological drought in India lasted for 2.34 months, while agricultural drought lasted for 3 months, reflecting a 26.5% increase, whereas hydrological drought lasted for 5.22 months, indicating a notable 123% increase. This increase in average drought duration as it propagates from meteorological to agricultural to hydrological drought can be attributed to the lengthening property of drought propagation. Clustering analysis reveals presence of five homogeneous drought clusters. Additionally, cluster analysis reveals that for meteorological and agricultural droughts arid regions showed the highest severity whereas for hydrological droughts north Indian states including Punjab and Haryana showed the highest severity. The study utilized metrics like SPI, Dev-NDVI and GRACE-DSI to represent meteorological, agricultural and hydrological droughts, respectively. Drought events were delineated using run theory with specific thresholds, followed by correlation, lag and clustering analyses to assess interrelationships and spatial patterns of drought propagation. image
英文关键词	agricultural drought drought propagation hydrological drought meteorological drought
类型	Article ; Early Access
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:001288370200001
WOS关键词	HYDROLOGICAL DROUGHT ; INDIA ; RAINFALL ; SEVERITY ; INDEX
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404218
推荐引用方式 GB/T 7714	Bilal, Syed Bakhtawar,Gupta, Vivek. Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater[J],2024.
APA	Bilal, Syed Bakhtawar,&Gupta, Vivek.(2024).Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater.INTERNATIONAL JOURNAL OF CLIMATOLOGY.
MLA	Bilal, Syed Bakhtawar,et al."Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2024).