Abstract
Rainstorm and flood disasters caused by short-term heavy precipitation often lead to huge losses in the agriculture and animal husbandry in Xinjiang. In this study, the five disaster elements of rainstorms and floods in Xinjiang are used to construct the disaster loss index using the ratio method and the dimensionless linear combination method. The probability distribution function is used to classify the disaster loss index of counties and cities into four grades, mild (grade 1), moderate (grade 2), severe (grade 3), and extremely severe (grade 4). Further, the spatial and temporal distribution of disasters and their causes are analyzed. Results show that the five disaster elements exhibit significant geographical variability, with grade 4 disasters concentrated in the Yili River Valley and Kashgar Prefecture. There were frequent rainstorm disasters between April and August, with those in July being the most serious. The interannual variation of fatalities, collapsed houses, collapsed livestock shelters, livestock deaths, and the ratio between affected area and sown area all showed a significant linear decreasing trend between 1986 and 2019. When there was not much change in the hazard of short duration heavy rainfall, the enrichment projects and emergency relief systems implemented by the Xinjiang government have played an important role in disaster prevention and mitigation, ensuring a year-by-year disaster loss reduction.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Applied Statistics, Computational Mathematics, and Software Engineering, ASCMSE 2022 |
| Editors | Steven Guan, Haibin Zhu |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510657625 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering, ASCMSE 2022 - Qingdao, China Duration: 20 May 2022 → 22 May 2022 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12345 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering, ASCMSE 2022 |
|---|---|
| Country/Territory | China |
| City | Qingdao |
| Period | 20/05/22 → 22/05/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- climatic cause
- disaster exponent
- grade division
- rainstorm and flood
- temporal and spatial distribution
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