GIS-based risk assessment of flood disaster in the Lijiang River Basin

被引:24
|
作者
Li, Ziwei [1 ]
Tang, Xiangling [1 ]
Li, Liju [1 ]
Chu, Yanqi [1 ]
Wang, Xingming [1 ]
Yang, Dishan [1 ]
机构
[1] Guilin Univ Technol, Guilin 541000, Peoples R China
基金
中国国家自然科学基金;
关键词
CLIMATE; AREAS;
D O I
10.1038/s41598-023-32829-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study is designed to provide a scientific reference for the establishment of rainstorm and flood disaster prevention system in Guilin region and improve the risk assessment of rainstorm and flood disasters. To realize the goal, a flood risk evaluation model is established by weight analysis methods including the entropy weight method and the analytic hierarchy process from 3 aspects, i.e., risk of disaster causing factors, sensitivity of disaster-pregnant environment and vulnerability of disaster bearing body. For the model, the daily precipitation 1980-2020 of 6 representative national meteorological stations in the Lijiang River Basin was used as reference data of disaster causing factors; six indicators, i.e., NDVI, river network density, geological hazard, slope, slope aspect and terrain undulation were selected as the sensitivity of disaster-pregnant environment; NPP, potential of farmland production, and population density were taken as the criteria for determining the vulnerability of disaster bearing capacity. Meanwhile, ArcGIS was used for analysis and calculation to complete the risk assessment of flood disaster in Lijiang River Basin, Guangxi. The results indicate that: (1) the hazard level of flood disaster causing factors in Lijiang River Basin shows a decreasing distribution pattern from north to south, and high-risk areas cover 3108.47 km(2), accounting for 21.29%; (2) the stability grade of disaster-pregnant environment shows a decreasing trend from the surrounding mountains to the plains, and the low-stability and lower-stability areas are mostly found in the low-lying areas around Lijiang River, with an area of 4218.63 km(2), accounting for 28.69%; (3) the vulnerability of the disaster bearing body is generally at a low level, and the areas with high level cover 246.96 km(2), accounting for only 1.69%; (4) under the combined effect of the above factors, the northern part of Guilin City in the Lijiang River Basin has a high risk of flood disaster.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] GIS-based assessment of morphological and hydrological parameters of Wainganga River Basin, Central India
    Nanabhau S. Kudnar
    Modeling Earth Systems and Environment, 2020, 6 : 1933 - 1950
  • [32] GIS-based assessment of morphological and hydrological parameters of Wainganga River Basin, Central India
    Kudnar, Nanabhau S.
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (03) : 1933 - 1950
  • [33] Flood disaster risk analysis for Songhua River Basin based on theory of information diffusion
    Yi, Chang
    Huang, Chongfu
    Pan, Yaozhong
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS, 2007, 4489 : 1069 - +
  • [34] Flood Disaster Risk Analysis of the Haihe River Basin Based on Information Diffusion Theory
    Gao, X. F.
    Zhu, H. T.
    CHINESE-GERMAN JOINT SYMPOSIUM ON HYDRAULIC AND OCEAN ENGINEERING (CG JOINT 2010), 2010, : 52 - 56
  • [35] GIS-based multicriteria approach for flood risk assessment in Sigus city, east Algeria
    Faregh W.
    Benkhaled A.
    Arabian Journal of Geosciences, 2021, 14 (12)
  • [36] GIS-based risk assessment of grassland fire disaster in western Jilin province, China
    Tong Zhijun
    Zhang Jiquan
    Liu Xingpeng
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (04) : 463 - 471
  • [37] Flood Vulnerability Assessment Across Alaknanda River Basin using GIS-based Combined Analysis of Geomorphometric Approach and MCDM-AHP
    Kuldeep Singh Rautela
    Dilip Kumar
    B. G. Bandaru Goutham Raveej Gandhi
    Ajay Kumar
    Amit Kumar Dubey
    Journal of the Geological Society of India, 2023, 99 : 1604 - 1615
  • [38] GIS-Based Risk Assessment of Structure Attributes in Flood Zones of Odiongan, Romblon, Philippines
    Gacu, Jerome G.
    Monjardin, Cris Edward F.
    de Jesus, Kevin Lawrence M.
    Senoro, Delia B.
    BUILDINGS, 2023, 13 (02)
  • [39] GIS-based risk assessment of grassland fire disaster in western Jilin province, China
    Tong Zhijun
    Zhang Jiquan
    Liu Xingpeng
    Stochastic Environmental Research and Risk Assessment, 2009, 23 : 463 - 471
  • [40] Flood vulnerability assessment of Siddheswari River basin, Eastern India: a GIS-based multi-criteria decision-making approach
    Sutradhar, Hemanta
    GEOJOURNAL, 2023, 88 (06) : 5907 - 5929