Arid
DOI10.1007/s13201-023-02085-z
A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India
Swain, Sabyasachi; Mishra, Prabhash Kumar; Nandi, Saswata; Pradhan, Biswajeet; Sahoo, Sashikanta; Al-Ansari, Nadhir
通讯作者Al-Ansari, N
来源期刊APPLIED WATER SCIENCE
ISSN2190-5487
EISSN2190-5495
出版年2024
卷号14期号:2
英文摘要The commonly used precipitation-based drought indices typically rely on probability distribution functions that can be suitable when the data exhibit minimal discrepancies. However, in arid and semi-arid regions, the precipitation data often display significant discrepancies due to highly irregular rainfall patterns. Consequently, imposing any probability distributions on the data for drought analysis in such regions may not be effective. To address this issue, this study employs a novel drought index called the Discrepancy Precipitation Index (DPI), specifically designed for arid regions. Unlike traditional methods, the DPI does not impose a probability distribution on the precipitation data; instead, it relies on the discrepancy between the data and the mean value. Drought severity classifications (i.e., Drought-I, Drought-II, and Drought-III) are proposed based on the DPI values. The DPI is used to characterize and assess the meteorological drought years based on annual and monsoonal precipitation over nineteen districts in Western Rajasthan, India, during 1901-2019. Additionally, a novel statistic called Discrepancy Measure (DM) is employed to assess the degree of discrepancy in the precipitation climatology of the districts for annual and monsoon precipitation time series. Based on annual precipitation, Jaisalmer district exhibited the highest number of historical drought years (35), whereas three districts, i.e., Jhunjhunu, Dausa, and Bhilwara exhibited the lowest number of drought years (11). Similarly, based on monsoon precipitation, Jaisalmer and Bhilwara encountered the highest (34) and the lowest (11) number of drought years, respectively. The return period of Drought-II is lower for monsoon precipitation-based DPI as compared to that of the annual precipitation-based DPI for all the districts. The DM and DPI-based total number of droughts are found to be strongly correlated for both annual and monsoon precipitation. The DM value is highest for Jaisalmer and lowest for Bhilwara district. The findings reveal DPI as an efficient tool for assessing drought years, particularly in arid climatic conditions. Moreover, as the DM value increases for a precipitation series, the DPI becomes more effective in capturing drought events.
英文关键词Drought monitoring Arid region Discrepancy precipitation index Discrepancy measure Rajasthan
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:001150735200005
WOS关键词STANDARDIZED PRECIPITATION INDEX ; CLIMATE-CHANGE ; WATER
WOS类目Water Resources
WOS研究方向Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/402899
推荐引用方式
GB/T 7714
Swain, Sabyasachi,Mishra, Prabhash Kumar,Nandi, Saswata,et al. A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India[J],2024,14(2).
APA Swain, Sabyasachi,Mishra, Prabhash Kumar,Nandi, Saswata,Pradhan, Biswajeet,Sahoo, Sashikanta,&Al-Ansari, Nadhir.(2024).A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India.APPLIED WATER SCIENCE,14(2).
MLA Swain, Sabyasachi,et al."A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India".APPLIED WATER SCIENCE 14.2(2024).
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