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Risk Assessment of Drought Disaster in China Based on Text Information Mining
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Jing-lei ZHU1, 2, 3, Xin-jun TU1, 2, 3, Xin-bei WANG1, 2, 3, Kai-rong LIN1, 2, 3, Mei-xian LIU1, 2, 3, Zhi-yong LIU1, 2, 3
Water Resources and Power | 2026, 44(1) : 24 - 28
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Water Resources and Power | 2026, 44(1): 24-28
Risk Assessment of Drought Disaster in China Based on Text Information Mining
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Jing-lei ZHU1, 2, 3, Xin-jun TU1, 2, 3, Xin-bei WANG1, 2, 3, Kai-rong LIN1, 2, 3, Mei-xian LIU1, 2, 3, Zhi-yong LIU1, 2, 3
Affiliations
  • 1.Center of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
  • 2.Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, China
  • 3.Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519080, China
Published: 2026-01-25 doi: 10.20040/j.cnki.1000-7709.2026.20250363
Outline
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Drought disaster is the combined effects of disaster-causing, socioeconomic and environmental factors. The textual information of historical drought disasters in China was used to classify drought disaster. The method of hotspot analysis was employed to identify prone areas of drought disaster. Based on three elements of hazard, exposure, and vulnerability, the risk assessment of drought disaster was investigated. The results show that three types of key information including water and rainfall conditions, drought severity and social impact extracted from drought disaster texts were well applied to their classification. During the period of 1949-2020 in China, it experienced an average of about 170 drought disasters per year, with mild, moderate, and severe droughts accounting for 52.4%, 27.6%, and 20.0%, respectively. The prone areas of drought disaster mainly occurred in Henan, Shanxi, Shaanxi and Inner Mongolia etc. The levels of the hazard, exposure and vulnerability in Henan, Hubei and Shandong accounted for the higher or above. The levels of drought disaster risk in Henan, Hubei, Sichuan, and Shandong, as the major grain producing areas, were the higher or above. The results of the study can provide a reference for drought disaster mitigation.

drought disaster  /  risk assessment  /  text mining  /  hotspot analysis  /  DPSEEA
朱静蕾, 涂新军, 王欣贝, 林凯荣, 刘梅先, 刘智勇. 基于文本信息挖掘的中国旱灾风险评估. 水电能源科学, 2026 , 44 (1) : 24 -28 . DOI: 10.20040/j.cnki.1000-7709.2026.20250363
Jing-lei ZHU, Xin-jun TU, Xin-bei WANG, Kai-rong LIN, Mei-xian LIU, Zhi-yong LIU. Risk Assessment of Drought Disaster in China Based on Text Information Mining[J]. Water Resources and Power, 2026 , 44 (1) : 24 -28 . DOI: 10.20040/j.cnki.1000-7709.2026.20250363
Appendix
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Year 2026 volume 44 Issue 1
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Article Info
doi: 10.20040/j.cnki.1000-7709.2026.20250363
  • Receive Date：2025-02-28
  • Online Date：2026-09-28
  • Published：2026-01-25
Article Data
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History
  • Received：2025-02-28
  • Revised：2025-03-28
  • Accepted：2025-04-08
Funding
Affiliations
    1.Center of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
    2.Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, China
    3.Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519080, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2026.20250363
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