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Published in: Earth Science Informatics 1/2022

26-09-2020 | Research Paper

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

Authors: Xinliang Ye, Jiahong Wen, Zhongfu Zhu, Ruihong Sun

Published in: Earth Science Informatics | Issue 1/2022

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Abstract

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.

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Metadata
Title
Natural disaster risk assessment in tourist areas based on multi scenario analysis
Authors
Xinliang Ye
Jiahong Wen
Zhongfu Zhu
Ruihong Sun
Publication date
26-09-2020
Publisher
Springer Berlin Heidelberg
Published in
Earth Science Informatics / Issue 1/2022
Print ISSN: 1865-0473
Electronic ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-020-00518-w

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