干旱区生态环境知识资源中心(Arid): Estimation of annual regional drought index considering the joint effects of climate and water budget for Krishna River basin, India

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DOI	10.1007/s10661-020-08379-y
	Estimation of annual regional drought index considering the joint effects of climate and water budget for Krishna River basin, India
	Shaik, Rehana; Monish, N. T.; Naidu, G. Sireesha
通讯作者	Shaik, R
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2020
卷号	192 期号:7
英文摘要	The Standardized Precipitation and Evapotranspiration Index (SPEI) became one of the popular drought indices due to the consideration of difference between precipitation (P) and potential evapotranspiration (PET), which represents the energy-based climatic water balance. Implementation of actual evapotranspiration (AET), which accounts for both water and energy-based climatic evaporative demand in drought characterization studies, is limited. This study proposes a meteorological drought index with the structure of theSPEIand actual evapotranspiration modeled with empirical formulations and remote sensing data integrated with surface energy models at annual scale. The proposed drought index imposes the effect of precipitation,PET, andAETusing operational meteorological data sets of precipitation and temperatures. The present study aimed to test how a drought index based onPETandPcan outperform with the inclusion ofAETat a river basin scale at 12-month scale. The proposed hypothesis was tested considering Krishna River basin, India, as a case study for which most of the basin is in arid climate. The performance of drought indices was compared using historical droughts in terms of severity, areal extent, frequency, and duration based on empiricalAETmodels along with satellite-based land surfaceETdata-based drought indices. The proposedAET-based drought indices have effectively captured the historical drought years over the Krishna River basin. The empiricalAETformulation-based drought index was identified as a more reliable measure in the estimation of drought characteristics by comparing with satellite-based land surfaceAET-based drought index. TheAET-based drought indices were able to drive the areas into moderate, which or otherwise categorized under severe drought regions withPET-based drought indices. Inclusion ofAETin the drought characterization along with precipitation andPETcan drive the highly intensified drought events determined bySPEIinto moderate and less frequent droughts with short durations over a large river basin with arid climate.
英文关键词	Budyko equation Turc model Remote sensing Thornthwaite model SPEI SPAEI
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000542602300003
WOS关键词	EXTREME WEATHER EVENTS ; PRECIPITATION ; VARIABILITY ; STORAGE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324824
作者单位	[Shaik, Rehana; Monish, N. T.; Naidu, G. Sireesha] Int Inst Informat Technol, Lab Spatial Informat, Hyderabad 500032, Telangana, India
推荐引用方式 GB/T 7714	Shaik, Rehana,Monish, N. T.,Naidu, G. Sireesha. Estimation of annual regional drought index considering the joint effects of climate and water budget for Krishna River basin, India[J],2020,192(7).
APA	Shaik, Rehana,Monish, N. T.,&Naidu, G. Sireesha.(2020).Estimation of annual regional drought index considering the joint effects of climate and water budget for Krishna River basin, India.ENVIRONMENTAL MONITORING AND ASSESSMENT,192(7).
MLA	Shaik, Rehana,et al."Estimation of annual regional drought index considering the joint effects of climate and water budget for Krishna River basin, India".ENVIRONMENTAL MONITORING AND ASSESSMENT 192.7(2020).