Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Xu, Huafeng | |
| dc.contributor.author | Xu, Kexin | |
| dc.contributor.author | Yang, Yingjie | |
| dc.date.acceptance | 2021-03-06 | |
| dc.date.accessioned | 2022-05-18T07:58:56Z | |
| dc.date.available | 2022-05-18T07:58:56Z | |
| dc.date.issued | 2021-03-20 | |
| dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
| dc.description.abstract | Carrying out risk assessments of agricultural drought disasters is helpful to understanding agricultural drought quantitatively and scientifically guiding drought prevention and drought relief work. In this paper, the risk assessment system and evaluation index of drought disasters are constructed, and they are composed of a drought risk subsystem, drought exposure subsystem, disaster damage sensitivity subsystem and drought resistance subsystem. Based on the grey matter-element analysis method, the agricultural drought risk evaluation model was established. Grey matter-element analysis method was used to evaluate the risk of agricultural drought in 18 regions of Henan Province, China in 2019. The results validation showed that high drought disaster risk area in Henan province is located in the western, north and the central area. This study provides a new method for the risk assessment of agricultural drought disasters. Understanding the risk in the study area can improve agricultural system resilience. This model could be used to provide support for increasing agricultural drought disaster resilience and risk management efficiency. | en |
| dc.exception.ref2021codes | 255a | en |
| dc.funder | No external funder | en |
| dc.identifier.citation | Xu, H., Xu, K. and Yang, Y. (2021) Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory. Natural Hazards,107, pp.2693–2707. | en |
| dc.identifier.doi | https://doi.org/10.1007/s11069-021-04681-1 | |
| dc.identifier.issn | 0921-030X | |
| dc.identifier.uri | https://hdl.handle.net/2086/21899 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.publisher | Springer | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | agricultural drought disaster | en |
| dc.subject | risk assessment | en |
| dc.subject | grey matter-element | en |
| dc.title | Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory | en |
| dc.type | Article | en |