Using multi criteria decision analysis in a geographical information system framework to assess drought risk
In this study we use the Mun river basin to demonstrate how a Multi Criteria Decision Analysis – Geographical Information Systems (MCDA-GIS) methodology can be used to assess drought risk. This paper not only provides a step forward in considering other elements such as land use change, climate with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Water Research X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589914723000269 |
| _version_ | 1797733901292011520 |
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| author | Jessica Penny Dibesh Khadka Priscila B.R. Alves Albert S. Chen Slobodan Djordjević |
| author_facet | Jessica Penny Dibesh Khadka Priscila B.R. Alves Albert S. Chen Slobodan Djordjević |
| author_sort | Jessica Penny |
| collection | DOAJ |
| description | In this study we use the Mun river basin to demonstrate how a Multi Criteria Decision Analysis – Geographical Information Systems (MCDA-GIS) methodology can be used to assess drought risk. This paper not only provides a step forward in considering other elements such as land use change, climate within drought risk but also splits annual risk across three seasons (wet, cool and hot), previously not done. We also investigate how land use change, in the form of a/reforestation and changing crop varieties could potentially mitigate future risk.MCDA rankings from experts found that climatic factors such as rainfall, evapotranspiration and maximum temperature were the most significant. By splitting up the seasons we have been able to observe the temporal and spatial changes in drought risk at an increased detail, an important step in mitigating water security issue in the future. Results for cool months found an increased risk in the north and east (Surin, Si Sa Ket and Rio Et). With hot months finding increased risk in the east (Surin and Si Sa Ket especially) and west in Nakon Ratchasima. Whereas the wet season risk was greatest in the West (Nakon Ratchima, Khon Kean and Mara Sarakham). Differences in future land use scenarios compared to 2017 found that if current trends continued (BAU), the areas at risk from drought will increase. However, by changing land use in the form of a/reforestation (COB) or changing crop types (PRO), drought risk will decrease. Thus, the MCDA-GIS methodology serves as a great starting point, providing a high flexibility in data, meaning the methodology can readily applied to other case studies across the world. |
| first_indexed | 2024-03-12T12:35:22Z |
| format | Article |
| id | doaj.art-84e5a56d513c4701a26ae4cb9c824dce |
| institution | Directory Open Access Journal |
| issn | 2589-9147 |
| language | English |
| last_indexed | 2024-03-12T12:35:22Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Research X |
| spelling | doaj.art-84e5a56d513c4701a26ae4cb9c824dce2023-08-29T04:17:44ZengElsevierWater Research X2589-91472023-09-0120100190Using multi criteria decision analysis in a geographical information system framework to assess drought riskJessica Penny0Dibesh Khadka1Priscila B.R. Alves2Albert S. Chen3Slobodan Djordjević4Centre for Water Systems, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK; Corresponding author.Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani, ThailandStormwater Infrastructure Resilience and Justice (SIRJ) Lab, School of Architecture Planning and Preservation, University of Maryland, United StatesCentre for Water Systems, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UKCentre for Water Systems, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UKIn this study we use the Mun river basin to demonstrate how a Multi Criteria Decision Analysis – Geographical Information Systems (MCDA-GIS) methodology can be used to assess drought risk. This paper not only provides a step forward in considering other elements such as land use change, climate within drought risk but also splits annual risk across three seasons (wet, cool and hot), previously not done. We also investigate how land use change, in the form of a/reforestation and changing crop varieties could potentially mitigate future risk.MCDA rankings from experts found that climatic factors such as rainfall, evapotranspiration and maximum temperature were the most significant. By splitting up the seasons we have been able to observe the temporal and spatial changes in drought risk at an increased detail, an important step in mitigating water security issue in the future. Results for cool months found an increased risk in the north and east (Surin, Si Sa Ket and Rio Et). With hot months finding increased risk in the east (Surin and Si Sa Ket especially) and west in Nakon Ratchasima. Whereas the wet season risk was greatest in the West (Nakon Ratchima, Khon Kean and Mara Sarakham). Differences in future land use scenarios compared to 2017 found that if current trends continued (BAU), the areas at risk from drought will increase. However, by changing land use in the form of a/reforestation (COB) or changing crop types (PRO), drought risk will decrease. Thus, the MCDA-GIS methodology serves as a great starting point, providing a high flexibility in data, meaning the methodology can readily applied to other case studies across the world.http://www.sciencedirect.com/science/article/pii/S2589914723000269Drought riskMulti-criteria decision analysisGeographical information systemsThailandLand use change |
| spellingShingle | Jessica Penny Dibesh Khadka Priscila B.R. Alves Albert S. Chen Slobodan Djordjević Using multi criteria decision analysis in a geographical information system framework to assess drought risk Water Research X Drought risk Multi-criteria decision analysis Geographical information systems Thailand Land use change |
| title | Using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| title_full | Using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| title_fullStr | Using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| title_full_unstemmed | Using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| title_short | Using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| title_sort | using multi criteria decision analysis in a geographical information system framework to assess drought risk |
| topic | Drought risk Multi-criteria decision analysis Geographical information systems Thailand Land use change |
| url | http://www.sciencedirect.com/science/article/pii/S2589914723000269 |
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