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Analysis of Spatiotemporal Characteristics and Inducing Factors of Flash Floods in Guangdong Province
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Fan YANG1, Ya-jing KANG2, Qian WANG3, Mei-hong MA4, Rong-hua LIU5
Water Resources and Power | 2023, 41(9) : 81 - 84
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Water Resources and Power | 2023, 41(9): 81-84
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Analysis of Spatiotemporal Characteristics and Inducing Factors of Flash Floods in Guangdong Province
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Fan YANG1, Ya-jing KANG2, Qian WANG3, Mei-hong MA4, Rong-hua LIU5
Affiliations
  • 1.Guangdong Flood Control Support and Rural Water Conservancy Center, Guangzhou 510635, China
  • 2.China South to North Water Diversion Group Water Investment Co., Ltd., Beijing 100036, China
  • 3.Institute of Sedimentary Geology, Chengdu University of Technology, Chengdu 610059, China
  • 4.College of Geography and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
  • 5.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: 2023-09-25 doi: 10.20040/j.cnki.1000-7709.2023.20222010
Outline
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Analyzing the spatial and temporal distribution characteristics of flash flood disasters is crucial for flood control and prevention. Taking Guangdong Province as an example, this study first compiled historical data on flash flood disasters in Guangdong Province from 2017 to 2021. Using methods such as standard deviation ellipse and kernel density, the spatial and temporal characteristics were analyzed, and the complex interaction relationships of triggering factors were explored. The results show that there were a total of 79 flash flood disasters, mainly concentrated in May and June, with uneven temporal distribution. The spatial distribution pattern of flash flood disasters exhibited a "dispersed east and west, concentrated north and south" pattern, with the northern cities of Heyuan, Shaoguan, and Meizhou being high-risk areas for flash flood disasters. Short-duration heavy rainfall was the main driving factor for flash flood disasters, with significant influences from topography, vegetation cover, and land use. The findings of this study can provide reference for flash flood disaster prevention and control in Guangdong Province.

flash flood disaster  /  spatiotemporal characteristics  /  influencing factors  /  Guangdong Province
Fan YANG, Ya-jing KANG, Qian WANG, Mei-hong MA, Rong-hua LIU. Analysis of Spatiotemporal Characteristics and Inducing Factors of Flash Floods in Guangdong Province[J]. Water Resources and Power, 2023 , 41 (9) : 81 -84 . DOI: 10.20040/j.cnki.1000-7709.2023.20222010
Year 2023 volume 41 Issue 9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222010
  • Receive Date:2022-09-26
  • Online Date:2026-01-28
  • Published:2023-09-25
Article Data
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History
  • Received:2022-09-26
  • Revised:2022-11-08
Funding
Affiliations
    1.Guangdong Flood Control Support and Rural Water Conservancy Center, Guangzhou 510635, China
    2.China South to North Water Diversion Group Water Investment Co., Ltd., Beijing 100036, China
    3.Institute of Sedimentary Geology, Chengdu University of Technology, Chengdu 610059, China
    4.College of Geography and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
    5.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20222010
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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