The Spatiotemporal Weighted Efficient Drought Index-A new generalized procedure of regional drought indicator
Drought is a multifaceted climate phenomenon. Due to recent climate warming, the risk of drought has increased. Regional drought management requires accurate regional drought characterization to prepare early warning drought mitigation policies. Therefore, a more flexible and efficient procedure is necessary for characterizing drought at a regional level. This study provides a new spatiotemporal weighting scheme for integrating precipitation data from various meteorological stations located in a specific region. Consequently, this article presents a new generalized regional drought indicator-The Spatiotemporal Weighted Efficient Drought Index (STWEDI). The methodology of STWEDI consists of two stages: (1) The first stage combines the meteorological data of various stations located in a certain region under the proposed weighting scheme, and (2) the second stage standardizes the cumulative distribution function (CDF) of mixture probability models. In application, this research estimated the time series data of STWEDI of seven regions containing a varying number of meteorological stations. To assess the performance of STWEDI, we compared the time series data of STWEDI with the most commonly used Standardized Precipitation Index (SPI) using the Pearson correlation. Results show that STWEDI is strongly correlated with individual SPIs in all the clusters and scales. Moreover, we found that STWEDI is strongly associated with SPI at all time scales. These statistical measures show that STWEDI is the more effective drought indicator for regional drought monitoring.
National Natural Science Foundation of China program ; Natural Science Foundation of Hubei Province, China[2020CFB615]
|WOS Research Area|
Environmental Sciences & Ecology ; Water Resources
Ecology ; Environmental Sciences ; Water Resources
|WOS Accession No|
|EI Accession Number|
Climate change ; Climate models ; Correlation methods ; Distribution functions ; Drought ; Time series
|ESI Classification Code|
Meteorology:443 ; Atmospheric Properties:443.1 ; Precipitation:443.3 ; Water Resources:444 ; Mathematics:921 ; Probability Theory:922.1 ; Mathematical Statistics:922.2
Web of Science
Cited Times [WOS]:1
|Document Type||Journal Article|
|Department||School of Environmental Science and Engineering|
1.School of Mathematics and Statistics,Beijing Institute of Technology,Beijing,China
2.Department of Computer Science,SZABIST Islamabad Campus,Islamabad,Pakistan
3.College of Statistical and Actuarial Sciences,University of the Punjab: Lahore,Pk,Lahore,Pakistan
4.Department of Statistics,University of Sargodha,Sargodha,Pakistan
5.Earth System and Global Change Lab,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
Ali，Farman,Riaz，Saba,Ali，Zulfiqar,et al. The Spatiotemporal Weighted Efficient Drought Index-A new generalized procedure of regional drought indicator[J]. Ecohydrology,2022.
Ali，Farman,Riaz，Saba,Ali，Zulfiqar,Qamar，Sadia,Li，Bing Zhao,&Khan，Muhammad Asif.(2022).The Spatiotemporal Weighted Efficient Drought Index-A new generalized procedure of regional drought indicator.Ecohydrology.
Ali，Farman,et al."The Spatiotemporal Weighted Efficient Drought Index-A new generalized procedure of regional drought indicator".Ecohydrology (2022).
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