drought risk; LST; LULC; NDVI; PDSI; Drought risks; Global economies; Hazard map; Land surface temperature; Land use/land cover; Normal difference vegetation index; Pakistan; Palmer drought severity indices; Vegetation index; Vulnerability maps; Environmental Science (all); Earth and Planetary Sciences (all); General Earth and Planetary Sciences; General Environmental Science
Abstract :
[en] Droughts have an adverse influence on agriculture, the environment, water supplies, and the global economy. The drought risk was computed using an integrated prospective approach: drought hazard, exposure, and vulnerability based on biophysical and socio-economic conditions over Karachi, Pakistan during 2000–2019. Drought hazard map (DHM) was created using annual Palmer drought severity Index (PDSI). Drought exposure map (DEM) was derived using population density and gross domestic product (GDP), as well as land surface temperature (LST), Normal difference vegetation index (NDVI), Night light images (NTL), land use land cover (LULC), and Distance to water were used for drought vulnerability map (DVM). An estimation of drought Risk (EDR) was derived by integrating layers of DHM, DEM, and DVM. Results showed that Central, South, and East regions of Karachi were at high risk, whereas the North East and North were less affected by the drought. The estimated average drought hazard (EDH) was 0.84, with minimum (maximum) value of 0.68 (1). Similarly, the average estimated drought exposure (estimated drought vulnerability) for EDE (EDV) was 0.27 (0.42), with the maximum value of 0.55 (0.84) and the minimum value of 0 (0). The drought risk assessment map (DRAM) shows that the average risk values is 0.18 while highest value is 0.36.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Dilawar, Adil; State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, China ; College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), Beijing, China
Chen, Baozhang; State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, China ; College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), Beijing, China ; School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Ashraf, Arshad; Climate, Energy & Water Research Institute (CEWRI), National Agricultural Research Centre, Islamabad, Pakistan
Alphonse, Kayiranga; State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, China ; College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), Beijing, China
Hussain, Yawar ; Université de Liège - ULiège > Département de géologie > Géologie de l'environnement
Ali, Shoaib; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, China
Jinghong, Jiang; School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Shafeeque, Muhammad; Climate lab, Institute of Geography, University of Bremen, Bremen, Germany
Boyang, Song; School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Sun, Xiaohong; Key Laboratory of Water and Sediment Sciences, College of Environmental Science and Engineering, Ministry of Education, Peking University, Beijing, China
Hussain, Saddam; Department of Irrigation and Drainage, University of Agriculture Faisalabad, Faisalabad, Pakistan ; Department of Biological and Agricultural Engineering, University of California, Davis, United States ; Department of Agricultural and Biological Engineering, University of Florida, Gainesville, United States
Language :
English
Title :
Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan
Strategic Priority Research Program of Chinese Academy of Sciences National Key R&D Program of China
Funders :
Chinese Academy of Sciences [CN] NSCF - National Natural Science Foundation of China [CN]
Funding text :
This research was funded by Strategic Priority Research Program of Chinese Academy of Sciences (XDA 20030302), National Natural Science Foundation of China(41977404), National Key R&D Program of China (2018YFA0606001, 2017YFA0604301 and 2017YFA0604302).
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