Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan
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 du...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2090863 |
| _version_ | 1818522005289304064 |
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| author | Adil Dilawar Baozhang Chen Arshad Ashraf Kayiranga Alphonse Yawar Hussain Shoaib Ali Jiang Jinghong Muhammad Shafeeque Song Boyang Xiaohong Sun Saddam Hussain |
| author_facet | Adil Dilawar Baozhang Chen Arshad Ashraf Kayiranga Alphonse Yawar Hussain Shoaib Ali Jiang Jinghong Muhammad Shafeeque Song Boyang Xiaohong Sun Saddam Hussain |
| author_sort | Adil Dilawar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T01:58:57Z |
| format | Article |
| id | doaj.art-ef9ac17e36bb43f2abca19c615978417 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-11T01:58:57Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-ef9ac17e36bb43f2abca19c6159784172022-12-22T01:24:32ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011311700172010.1080/19475705.2022.2090863Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, PakistanAdil Dilawar0Baozhang Chen1Arshad Ashraf2Kayiranga Alphonse3Yawar Hussain4Shoaib Ali5Jiang Jinghong6Muhammad Shafeeque7Song Boyang8Xiaohong Sun9Saddam Hussain10State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, Beijing, ChinaState Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, Beijing, ChinaClimate, Energy & Water Research Institute (CEWRI), National Agricultural Research Centre, Islamabad, PakistanState Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chaoyang District, Beijing, ChinaDepartment of Geology, University of Liege, Liege, BelgiumSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, ChinaSchool of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, ChinaClimate lab, Institute of Geography, University of Bremen, Bremen, GermanySchool of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, ChinaKey Laboratory of Water and Sediment Sciences, College of Environmental Science and Engineering, Ministry of Education, Peking University, Beijing, ChinaDepartment of Irrigation and Drainage, University of Agriculture Faisalabad, Faisalabad, PakistanDroughts 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.https://www.tandfonline.com/doi/10.1080/19475705.2022.2090863NDVILULCLSTPDSIdrought risk |
| spellingShingle | Adil Dilawar Baozhang Chen Arshad Ashraf Kayiranga Alphonse Yawar Hussain Shoaib Ali Jiang Jinghong Muhammad Shafeeque Song Boyang Xiaohong Sun Saddam Hussain Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan Geomatics, Natural Hazards & Risk NDVI LULC LST PDSI drought risk |
| title | Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan |
| title_full | Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan |
| title_fullStr | Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan |
| title_full_unstemmed | Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan |
| title_short | Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan |
| title_sort | development of a gis based hazard exposure and vulnerability analyzing method for monitoring drought risk at karachi pakistan |
| topic | NDVI LULC LST PDSI drought risk |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2090863 |
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