Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images

This article demonstrates the potential of Defense Meteorological Satellite Program-Operational Linescan System stable nighttime light imagery for county-level earthquake resilience analysis. In this article, we firstly intercalibrated the nighttime light data and calculated the total sum of stable...

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Autores principales:	Zhumei Liu, Jingfa Zhang, Xue Li, Xiaolin Chen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Earthquake hazards linear regression remote sensing rural areas Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/5e5a729f40714745ac2e5d1a00ea041c
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spelling	oai:doaj.org-article:5e5a729f40714745ac2e5d1a00ea041c2021-11-09T00:00:16ZLong-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images2151-153510.1109/JSTARS.2021.3121789https://doaj.org/article/5e5a729f40714745ac2e5d1a00ea041c2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9583868/https://doaj.org/toc/2151-1535This article demonstrates the potential of Defense Meteorological Satellite Program-Operational Linescan System stable nighttime light imagery for county-level earthquake resilience analysis. In this article, we firstly intercalibrated the nighttime light data and calculated the total sum of stable lights for each of the 261 counties affected by the <italic>Mw</italic> 7.9 Wenchuan earthquake from 1992 to 2013; secondly established an earthquake resilience model based on a nighttime light index to analyze the static and dynamic resilience of different counties; and lastly discussed the possible influencing factors from geographic, disaster-related, political and socioeconomic perspectives. The results first show that the static resilience of the extremely hard-hit counties in the Wenchuan earthquake-affected area increased from south to north along the long axis of the intensity zone, and plain and hilly counties exhibited faster short-term economic recovery than plateau and mountainous counties. Moreover, all extremely hard-hit counties except Wenchuan, Dujiangyan and Pingwu recovered to the normal level before 2011, whereas 52% of the counties in the generally affected areas recovered within three years. Through linear regression analysis, we also found that the different earthquake resilience capabilities across counties are most likely related to the soil liquefaction risk, average elevation, land-use degree, and socioeconomic factors, such as the industrial structure, the population age distribution, and social welfare.Zhumei LiuJingfa ZhangXue LiXiaolin ChenIEEEarticleEarthquakehazardslinear regressionremote sensingrural areasOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10854-10874 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Earthquake hazards linear regression remote sensing rural areas Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	Earthquake hazards linear regression remote sensing rural areas Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Zhumei Liu Jingfa Zhang Xue Li Xiaolin Chen Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
description	This article demonstrates the potential of Defense Meteorological Satellite Program-Operational Linescan System stable nighttime light imagery for county-level earthquake resilience analysis. In this article, we firstly intercalibrated the nighttime light data and calculated the total sum of stable lights for each of the 261 counties affected by the <italic>Mw</italic> 7.9 Wenchuan earthquake from 1992 to 2013; secondly established an earthquake resilience model based on a nighttime light index to analyze the static and dynamic resilience of different counties; and lastly discussed the possible influencing factors from geographic, disaster-related, political and socioeconomic perspectives. The results first show that the static resilience of the extremely hard-hit counties in the Wenchuan earthquake-affected area increased from south to north along the long axis of the intensity zone, and plain and hilly counties exhibited faster short-term economic recovery than plateau and mountainous counties. Moreover, all extremely hard-hit counties except Wenchuan, Dujiangyan and Pingwu recovered to the normal level before 2011, whereas 52% of the counties in the generally affected areas recovered within three years. Through linear regression analysis, we also found that the different earthquake resilience capabilities across counties are most likely related to the soil liquefaction risk, average elevation, land-use degree, and socioeconomic factors, such as the industrial structure, the population age distribution, and social welfare.
format	article
author	Zhumei Liu Jingfa Zhang Xue Li Xiaolin Chen
author_facet	Zhumei Liu Jingfa Zhang Xue Li Xiaolin Chen
author_sort	Zhumei Liu
title	Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
title_short	Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
title_full	Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
title_fullStr	Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
title_full_unstemmed	Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images
title_sort	long-term resilience curve analysis of wenchuan earthquake-affected counties using dmsp-ols nighttime light images
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/5e5a729f40714745ac2e5d1a00ea041c
work_keys_str_mv	AT zhumeiliu longtermresiliencecurveanalysisofwenchuanearthquakeaffectedcountiesusingdmspolsnighttimelightimages AT jingfazhang longtermresiliencecurveanalysisofwenchuanearthquakeaffectedcountiesusingdmspolsnighttimelightimages AT xueli longtermresiliencecurveanalysisofwenchuanearthquakeaffectedcountiesusingdmspolsnighttimelightimages AT xiaolinchen longtermresiliencecurveanalysisofwenchuanearthquakeaffectedcountiesusingdmspolsnighttimelightimages
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Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images

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