An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China
The unique climate, topography and soil conditions of Anhui Province in China are the main causes of drought, which is one of the limiting factors of economic and social development. Characterized by low data requirement, strong operability and flexibility, the conventional ‘assessment based on comp...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-03-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/23/3/1144 |
| _version_ | 1797850610869993472 |
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| author | Ming Tang Wentao Xu Qianchen Xie Yuze Wu Yanlei Li Huanwei Zhang |
| author_facet | Ming Tang Wentao Xu Qianchen Xie Yuze Wu Yanlei Li Huanwei Zhang |
| author_sort | Ming Tang |
| collection | DOAJ |
| description | The unique climate, topography and soil conditions of Anhui Province in China are the main causes of drought, which is one of the limiting factors of economic and social development. Characterized by low data requirement, strong operability and flexibility, the conventional ‘assessment based on comprehensive index’ (ACI) is used to assess the drought risk, the index obtained by which can only represent the relative risk level among the objects and has no spatiotemporal characteristic. Therefore, a new method based on the iterative transformation of spatiotemporal vector (DRST) is proposed to solve this defect. The main conclusions are as follows: (1) The drought risk matrices obtained by DRS and DRT cannot quantify the drought risk level of subregions in each year absolutely. (2) The drought risk values obtained by DRST can be used to compare the drought risk from temporal and spatial dimensions at the same time, and both the drought-affected regions and the drought risk level are consistent with the statistical data. The new method expands the subsequent utilization space of the ‘assessment index’. For example, the allocation of drought-resistant resources (water resources, drought-resistant funds, etc.) can be determined according to these indexes.
HIGHLIGHTS
The conventional ‘assessment of comprehensive index’ method can only represent the relative risk level among the objects.;
The drought risk based on the iterative transformation of ‘spatiotemporal vector’ (new method) can be compared from temporal and spatial dimensions at the same time.;
The new method expands the subsequent utilization space of the ‘assessment index’.; |
| first_indexed | 2024-04-09T19:04:15Z |
| format | Article |
| id | doaj.art-f761979688704de990065196bdc35a46 |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-04-09T19:04:15Z |
| publishDate | 2023-03-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-f761979688704de990065196bdc35a462023-04-07T15:24:23ZengIWA PublishingWater Supply1606-97491607-07982023-03-012331144116010.2166/ws.2023.044044An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, ChinaMing Tang0Wentao Xu1Qianchen Xie2Yuze Wu3Yanlei Li4Huanwei Zhang5 School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China The unique climate, topography and soil conditions of Anhui Province in China are the main causes of drought, which is one of the limiting factors of economic and social development. Characterized by low data requirement, strong operability and flexibility, the conventional ‘assessment based on comprehensive index’ (ACI) is used to assess the drought risk, the index obtained by which can only represent the relative risk level among the objects and has no spatiotemporal characteristic. Therefore, a new method based on the iterative transformation of spatiotemporal vector (DRST) is proposed to solve this defect. The main conclusions are as follows: (1) The drought risk matrices obtained by DRS and DRT cannot quantify the drought risk level of subregions in each year absolutely. (2) The drought risk values obtained by DRST can be used to compare the drought risk from temporal and spatial dimensions at the same time, and both the drought-affected regions and the drought risk level are consistent with the statistical data. The new method expands the subsequent utilization space of the ‘assessment index’. For example, the allocation of drought-resistant resources (water resources, drought-resistant funds, etc.) can be determined according to these indexes. HIGHLIGHTS The conventional ‘assessment of comprehensive index’ method can only represent the relative risk level among the objects.; The drought risk based on the iterative transformation of ‘spatiotemporal vector’ (new method) can be compared from temporal and spatial dimensions at the same time.; The new method expands the subsequent utilization space of the ‘assessment index’.;http://ws.iwaponline.com/content/23/3/1144assessment on comprehensive indexdrought riskimprovementiterative transformation methodspatiotemporal risk matrixspatiotemporal vector |
| spellingShingle | Ming Tang Wentao Xu Qianchen Xie Yuze Wu Yanlei Li Huanwei Zhang An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China Water Supply assessment on comprehensive index drought risk improvement iterative transformation method spatiotemporal risk matrix spatiotemporal vector |
| title | An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China |
| title_full | An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China |
| title_fullStr | An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China |
| title_full_unstemmed | An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China |
| title_short | An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, China |
| title_sort | improved assessment on comprehensive index for drought risk through an iterative transformation of spatiotemporal vector a case study of anhui province china |
| topic | assessment on comprehensive index drought risk improvement iterative transformation method spatiotemporal risk matrix spatiotemporal vector |
| url | http://ws.iwaponline.com/content/23/3/1144 |
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