Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model

Ali, Farman1; Ali, Zulfiqar2,3,4; Li, Bing-Zhao1; Qamar, Sadia5; Nazeer, Amna6; Riaz, Saba7; Khan, Muhammad Asif8; Fayyaz, Rabia6; Abbasi, Javeria Nawaz6

2022-06-01

10.1007/s11269-022-03159-4

WATER RESOURCES MANAGEMENT   影响因子和分区

0920-4741

1573-1650

Drought is recurrently occurring in many parts of the globe. In contrast to other natural hazards, drought has complex climatic characteristics. Several environmental factors are involved in the occurrence of drought hazards. However, the selection of an appropriate drought index may incorporate to make efficient drought mitigation policies. Moreover, the spatial distributions of extreme weather conditions (Dry/Wet) are necessary to avoid the consequences of future drought hazards. In this study, we aimed to explore and compare the regional profile of Dry/Wet episodes under various drought measures. Consequently, this research proposes a new spatial comparative procedure to assess and evaluate the spatial predictive distributions of Dry/Wet episodes under various drought measures. The study incorporates three Standardized Drought Indices (SDIs) and a spatial Poisson log-normal model to assess and evaluate the spatial predictive distributions of Dry/Wet episodes in Pakistan. Results of this study show that the segregated patterns of Dry/Wet counts are moderately consistent with the climatology of the region. However, the spatial patterns of Wet/Dry counts under various drought measures are significantly different under each index. Therefore, this research suggests the simultaneous use of multiple drought measures for accurate and precise drought monitoring at the regional level.

Drought Standardized drought indices Spatial Poisson log-normal model Spatial predictive distribution

SCI ; EI

英语

其他

Engineering ; Water Resources

Engineering, Civil ; Water Resources

WOS:000805747300001

SPRINGER

20222412214489

Hazards ; Poisson distribution ; Spatial distribution

Surveying:405.3 ; Precipitation:443.3 ; Water Resources:444 ; Engineering Graphics:902.1 ; Accidents and Accident Prevention:914.1 ; Mathematics:921 ; Probability Theory:922.1

ENVIRONMENT/ECOLOGY

Web of Science

1.Beijing Inst Technol, Sch Math & Stat, Beijing, Peoples R China
2.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
3.Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China
4.Univ Sialkot, Dept Stat, Sialkot, Pakistan
5.Univ Sargodha, Dept Stat, Sargodha, Pakistan
6.COMSATS Univ Islamabad, Dept Math, Islamabad, Pakistan
7.SZABIST, Dept Comp Sci, Islamabad Campus, Islamabad, Pakistan
8.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Earth Syst & Global Change Lab, Shenzhen, Peoples R China

Ali, Farman,Ali, Zulfiqar,Li, Bing-Zhao,et al. Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model[J]. WATER RESOURCES MANAGEMENT,2022,36:2989-3005.

Ali, Farman.,Ali, Zulfiqar.,Li, Bing-Zhao.,Qamar, Sadia.,Nazeer, Amna.,...&Abbasi, Javeria Nawaz.(2022).Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model.WATER RESOURCES MANAGEMENT,36,2989-3005.

Ali, Farman,et al."Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model".WATER RESOURCES MANAGEMENT 36(2022):2989-3005.