Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context

Khan，Muhammad Asif1,12,13; Riaz，Saba2; Jiang，He1; Qamar，Sadia3; Ali，Zulfiqar4; Islamil，Muhammad5; Nazeer，Amna6; Faisal，Muhammad7,8; Satti，Samina9; Zhang，Xiang10,11

2022-06-15

10.1016/j.jenvman.2022.114951

JOURNAL OF ENVIRONMENTAL MANAGEMENT   影响因子和分区

0301-4797

1095-8630

Drought hazard is one of the main consequences of global warming and climate change. Unlike other natural disasters, drought has complex climatic features. Therefore, accurate drought monitoring is a challenging task. This paper proposes a framework for assessing drought classifications at the regional level. The proposed framework provides a new drought monitoring indicator called Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI). MSARSPEI is an amalgam of the Standardized Precipitation Evapotranspiration (SPEI) (Vicente-Serrano et al., 2010) and Regionally Improved Weighted Standardized Drought Index (RIWSDI) (Jiang et al., 2020). In the proposed framework, the Boruta algorithm of feature selection is configured to ensemble monthly time series data of evaporation in various meteorological stations located in specific regions. Further, the framework suggests the standardization of the Cumulative Distribution Function (CDF) of K-Component Gaussian (K-CG) mixture distribution function for obtaining MSARSPEI data. The application of the proposed framework is based on seven different regions of Pakistan. For comparative analysis, this paper compared the performance of MSARSPE with SPEI using Pearson correlation. Outcomes associated with this research show that the proposed regional drought index has a strong correlation with the competing indicator in various time scales. In addition, the study assessed the spatial extent of various drought classifications under MSARSPEI. In summation, this research concludes that the choice of the MSARSPEI is rationally valid and more appropriate for the regional assessment of drought under the global warming scenario.

Boruta algorithm Drought monitoring Global warming K-component Gaussian (K-CG) mixture distribution Standardized precipitation evapotranspiration index (SPEI)

SCI

英语

其他

Natural Science Foundation of Hubei Province[2020CFB615];National Natural Science Foundation of China[41801339];

Environmental Sciences & Ecology

Environmental Sciences

WOS:000806385000002

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

ENVIRONMENT/ECOLOGY

2-s2.0-85127210734

Scopus

1.School of Statistics,Jiangxi University of Finance and Economics,Nanchang,330013,China
2.Department of Computer Science,SZABIST Islamabad Campus,Pakistan
3.Department of Statistics,University of Sargodha,Pakistan
4.State Key Laboratory of Hydro-Science and Engineering and Department of Hydraulic Engineering,Tsinghua University,Beijing,100084,China
5.Department of Statistics,Quaid-i-Azam University Islamabad,Pakistan
6.Statistics Department,COMSATS University,Islamabad,Pakistan
7.Faculty of Health Studies,University of Bradford,Bradford,UK,BD7 1DP,United Kingdom
8.Bradford Institute for Health Research,Bradford Teaching Hospitals NHS Foundation Trust,Bradford,UK,United Kingdom
9.Department of Statistics,University of Wah,Wah Cantt,Pakistan
10.National Engineering Research Centre of Geographic Information System,School of Geography and Information Engineering,China University of Geosciences (Wuhan),Wuhan,430074,China
11.State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100101,China
12.Earth System and Global Change Lab,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
13.Department of Mathematics,City University of Science and Information Technology,Peshawar,Pakistan

Khan，Muhammad Asif,Riaz，Saba,Jiang，He,et al. Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,312.

Khan，Muhammad Asif.,Riaz，Saba.,Jiang，He.,Qamar，Sadia.,Ali，Zulfiqar.,...&Zhang，Xiang.(2022).Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context.JOURNAL OF ENVIRONMENTAL MANAGEMENT,312.

Khan，Muhammad Asif,et al."Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context".JOURNAL OF ENVIRONMENTAL MANAGEMENT 312(2022).