Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)

Spatio-temporal Analysis and Assessment of High-Temperature Heat Wave Disaster Risk in Chengdu

Authors
Bin Huang, Bingwei Tian, Ling Wang, Shiyao Gu, Feiyu Chen
Corresponding Author
Bingwei Tian
Available Online September 2019.
DOI
https://doi.org/10.2991/wrarm-19.2019.9How to use a DOI?
Keywords
high-temperature heat wave (HTHW), disaster risk, land surface temperature (LST), spatial zoning, spatio-temporal analysis
Abstract

With Global warming and rapid urbanization, the heat island effect is intensified, extreme meteorological disasters caused by atmospheric circulation anomalies continue to intensify. High-temperature heat wave (HTHW) disaster caused death, drought, fires, grain reduction, water and electricity supply shortages in many countries. Therefore, it is a high need to assessment the risk of urban HTHW disaster, and put forward measures for disaster prevention and mitigation of urban HTHW disaster. In this study, we use Landsat 8 image to retrieve the land surface temperature (LST) by the radiative transfer equation algorithm. Based on literature review, case comparison and analytic hierarchy process (AHP), three feature layers of disaster stress (B1), disaster vulnerability (B2), and disaster adaptation ability (B3) were selected. 10 indicator layers from the perspective of society, economy and thermal environment were selected for computation . Based on the spatial distribution of LST in Chengdu, we established a risk assessment framework for HTHW disaster assessment in Chengdu. Combination with R language and GIS natural discontinuity point method, analysis of the spatio-temporal variation characteristics of the risk of HTHW disaster in Chengdu. We conclude that: 1. The LST of Chengdu has a regular increase and decrease with the relative distance between the central city and the mountains, showing a significant urban heat island phenomenon. 2. The LST of Chengdu has a spatial distribution of “two basins separated by two mountains”. The time series of HTHW have fluctuating characteristics of "enhancement-subtraction-enhancement" and three variations: “continuous reduction”, “period falling back” and “continuous increasing”. 3. The extreme difference between the HTHWCRI is large, indicating that the polarization of the HTHW risk in Chengdu is serious. 4. The high-temperature heat wave risk factor layer mainly has three models of “low-high-low”, “high-low-high” and “high-high-low”, and there is a clear positive between high temperature heat wave stress and high temperature heat wave risk. Positive correlation between relevance, socio-economic development level and regional disaster adaptive capacity. 5. Jintang district has obvious "enclave" characteristics in the intensity and risk of HTHW. The number of HTHW continues to increase and the risk of HTHW is high.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)
Series
Advances in Intelligent Systems Research
Publication Date
September 2019
ISBN
978-94-6252-793-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/wrarm-19.2019.9How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Huang
AU  - Bingwei Tian
AU  - Ling Wang
AU  - Shiyao Gu
AU  - Feiyu Chen
PY  - 2019/09
DA  - 2019/09
TI  - Spatio-temporal  Analysis and Assessment of High-Temperature Heat Wave Disaster Risk  in Chengdu
BT  - Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)
PB  - Atlantis Press
SP  - 43
EP  - 50
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-19.2019.9
DO  - https://doi.org/10.2991/wrarm-19.2019.9
ID  - Huang2019/09
ER  -