Natural disaster risk assessment in tourist areas based on multi scenario analysis

被引:4
|
作者
Ye, Xinliang [1 ]
Wen, Jiahong [2 ]
Zhu, Zhongfu [3 ]
Sun, Ruihong [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Management, 333 Longteng Rd, Shanghai, Peoples R China
[2] Shanghai Normal Univ, Sch Environm & Geog Sci, 100 Guilin Rd, Shanghai, Peoples R China
[3] Jiuzhai Valley Scen Area Adm, Zhangzha Town, Sichuan, Peoples R China
关键词
Debris flow; Natural disaster; Risk assessment; Multi-scenarios; Tourist areas; Jiuzhai Valley; SEISMIC RISK; MANAGEMENT; FRAMEWORK; MODEL;
D O I
10.1007/s12145-020-00518-w
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
From the practice of tourism industry, many scenic spots emphasize emergency rescue and ignore risk prevention in safety management.From the perspective of research, a large number of literatures focus on the emergency management of scenic spots, and lack the concept and method of systematic risk management. This research puts forward the natural disaster risk assessment method in tourist area by the introduction and development of the concept of scenario analysis technique.This method relies on GIS(Geographic Information System) and RS(Remote Sensing) technology to simulate typical natural disaster risk scenarios in the scenic area in the future, and establish the corresponding relationship between the intensity of typical hazards and disaster risk scenarios. Further, it classifies tourism resources and tourist facilities, analyze the characteristics of the time and space distribution of tourists and residents in the scenic area, and establish the corresponding relationship between the intensity of hazard factors and the vulnerability of the scenic area's bearer; finally, by fitting the risk curve, establish a comprehensive disaster loss model for the scenic area and predict the amount Scenario average annual loss.Taking the Jiuzhaigou Tree Zhengjing Group as an example, simulate the velocity, flow and impact of debris flow caused by six torrential rain scenarios in Jiuzhaigou in 20, 50, 100, 200, 500, and 1000 years, and establish six scenarios of debris flow and trees. The vulnerability of the Zhengjing Group; predict potential losses and casualties in six scenarios; combined with acceptable risks, propose future natural disaster prevention and risk reduction measures for Jiuzhaigou Shuzhengzhai.
引用
收藏
页码:659 / 670
页数:12
相关论文
共 50 条
  • [41] Special Issue on Natural Hazards Risk Assessment for Disaster Mitigation
    Nikolic, Zeljana
    Benvenuti, Elena
    Chiozzi, Andrea
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [42] Multi Agent System Based Interface for Natural Disaster
    Sharmeen, Zahra
    Martinez-Enriquez, Ana Maria
    Aslam, Muhammad
    Syed, Afraz Zahra
    Waheed, Talha
    [J]. ACTIVE MEDIA TECHNOLOGY, AMT 2014, 2014, 8610 : 299 - +
  • [43] Natural Disaster Analysis after Hurricane Katrina: Risk Assessment, Economic Impacts and Social Implications
    Nelson, Marla
    [J]. JOURNAL OF REGIONAL SCIENCE, 2010, 50 (04) : 895 - 896
  • [44] Natural Disaster Analysis after Hurricane Katrina: Risk Assessment, Economic Impacts and Social Implications
    Burby, Raymond J.
    [J]. JOURNAL OF THE AMERICAN PLANNING ASSOCIATION, 2009, 75 (03) : 379 - 380
  • [45] Natural Disaster Analysis after Hurricane Katrina: Risk Assessment, Economic Impacts and Social Implications
    Moynihan, Donald P.
    [J]. INTERNATIONAL JOURNAL OF PUBLIC ADMINISTRATION, 2009, 32 (10) : 921 - 923
  • [46] Natural Disaster Analysis after Hurricane Katrina: Risk Assessment, Economic Impacts and Social Implications
    Cutter, Susan L.
    [J]. JOURNAL OF HOMELAND SECURITY AND EMERGENCY MANAGEMENT, 2009, 6 (01):
  • [47] NATURAL DISASTER RISK ASSESSMENT BASED ON THE ENSEMBLE PROCESSING AND TECHNOLOGY OF HETEROGENEOUS GEOSPATIAL DATA FUSION
    Zyelyk, Y. I.
    Kussul, N. M.
    Skakun, S. V.
    Shelestov, A. Yu.
    [J]. SPACE SCIENCE AND TECHNOLOGY-KOSMICNA NAUKA I TEHNOLOGIA, 2011, 17 (01): : 60 - 64
  • [48] Multi-Hazard Meteorological Disaster Risk Assessment for Agriculture Based on Historical Disaster Data in Jilin Province, China
    Zhang, Jiawang
    Wang, Jianguo
    Chen, Shengbo
    Tang, Siqi
    Zhao, Wutao
    [J]. SUSTAINABILITY, 2022, 14 (12)
  • [49] Research on Natural Disaster Risk Assessment Model Based on Support Vector Machine and Its Application
    Chen, Junfei
    Zhao, Shihao
    Liao, Weihao
    Weng, Yuan
    [J]. NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2009, 5864 : 762 - 769
  • [50] Research on risk assessment of natural disaster based on cloud fuzzy clustering algorithm in Taihang Mountain
    Wen, Li-Hua
    Shi, Zhi-Hua
    Liu, Hong-Yao
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (04) : 4735 - 4743