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

被引:0
作者
Xinliang Ye
Jiahong Wen
Zhongfu Zhu
Ruihong Sun
机构
[1] Shanghai University of Engineering Science,School of management
[2] Shanghai Normal University,School of environmental and geographical sciences
[3] Jiuzhai Valley Scenic Area Administration,undefined
[4] Aba Tibetan and Qiang Autonomous Prefecture,undefined
来源
Earth Science Informatics | 2022年 / 15卷
关键词
Debris flow; Natural disaster; Risk assessment; Multi-scenarios; Tourist areas; Jiuzhai Valley;
D O I
暂无
中图分类号
学科分类号
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:11
相关论文
共 49 条
[1]  
Ashworth G(2011)Urban tourism research: recent progress and current paradoxes Tour Manag 32 1-15
[2]  
Page SJ(2006)Global early warning systems for natural hazards: systematic and people-centred. Philosophical transactions of the Royal Society a: mathematical Phys Eng Sci 364 2167-2182
[3]  
Basher R(2007)Techniques of debris flow prevention in national parks Earth Science Frontiers 6 172-180
[4]  
Cui P(2007)Advisement and suggestion to scientific problems of emergency Management for Public Incidents Bulletin of National Natural Science Foundation of China 2 71-76
[5]  
Fan W-C(2001)Towards a framework for tourism disaster management Tour Manag 02 135-147
[6]  
Faulkner B(2011)An exploratory inquiry into destination risk perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination Tour Manag 32 266-276
[7]  
Fuchs G(2017)Unsupervised segmentation of remote sensing images using FD based texture analysis model and ISODATA International Journal of Ambient Computing and Intelligence (IJACI) 8 58-75
[8]  
Reichel A(2008)Towards a destination tourism disaster management framework: Long-term lessons from a forest fire disaster Tourism Management 01 151-162
[9]  
Hemalatha S(2006)Multicriteria and multiperiod programming for scenario analysis in guadalquivir river irrigated farming J Oper Res Soc 57 499-509
[10]  
Anouncia SM(2005)Weather, climate and tourism a geographical perspective Ann Tour Res 03 571-591