GIS-Based Rapid Disaster Loss Assessment for Earthquakes

Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according...
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Gespeichert in:

Autor*in:	Shaohua Zhang [verfasserIn] Kun Yang [verfasserIn] Yanbo Cao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 6129-6139
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:6129-6139

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2018.2889918

Katalog-ID:	DOAJ056926936

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allfieldsGer	10.1109/ACCESS.2018.2889918 doi (DE-627)DOAJ056926936 (DE-599)DOAJf639831753894c08b137d10e61e1ea33 DE-627 ger DE-627 rakwb eng TK1-9971 Shaohua Zhang verfasserin aut GIS-Based Rapid Disaster Loss Assessment for Earthquakes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation. GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment Electrical engineering. Electronics. Nuclear engineering Kun Yang verfasserin aut Yanbo Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 6129-6139 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:6129-6139 https://doi.org/10.1109/ACCESS.2018.2889918 kostenfrei https://doaj.org/article/f639831753894c08b137d10e61e1ea33 kostenfrei https://ieeexplore.ieee.org/document/8590824/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 6129-6139
allfieldsSound	10.1109/ACCESS.2018.2889918 doi (DE-627)DOAJ056926936 (DE-599)DOAJf639831753894c08b137d10e61e1ea33 DE-627 ger DE-627 rakwb eng TK1-9971 Shaohua Zhang verfasserin aut GIS-Based Rapid Disaster Loss Assessment for Earthquakes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation. GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment Electrical engineering. Electronics. Nuclear engineering Kun Yang verfasserin aut Yanbo Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 6129-6139 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:6129-6139 https://doi.org/10.1109/ACCESS.2018.2889918 kostenfrei https://doaj.org/article/f639831753894c08b137d10e61e1ea33 kostenfrei https://ieeexplore.ieee.org/document/8590824/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 6129-6139
language	English
source	In IEEE Access 7(2019), Seite 6129-6139 volume:7 year:2019 pages:6129-6139
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topic_facet	GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Shaohua Zhang @@aut@@ Kun Yang @@aut@@ Yanbo Cao @@aut@@
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callnumber-first	T - Technology
author	Shaohua Zhang
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topic	misc TK1-9971 misc GIS misc earthquake rapid response misc economic losses assessment misc damaged buildings assessment misc fatalities assessment misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc GIS misc earthquake rapid response misc economic losses assessment misc damaged buildings assessment misc fatalities assessment misc Electrical engineering. Electronics. Nuclear engineering
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title	GIS-Based Rapid Disaster Loss Assessment for Earthquakes
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title_full	GIS-Based Rapid Disaster Loss Assessment for Earthquakes
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title_auth	GIS-Based Rapid Disaster Loss Assessment for Earthquakes
abstract	Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation.
abstractGer	Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation.
abstract_unstemmed	Soon after an earthquake, the government should conduct a rapid assessment to determine the spatial distributions of the damages, including casualties, collapsed houses, infrastructures, and secondary disasters. The government can then allocate rescue teams and distribute rescue resources according to these factors. This paper introduces the process of rapid earthquake disaster assessment and describes the ioseismal attenuation model, damaged buildings model, economic losses model, and fatalities model. All the disaster loss assessment models are integrated into a geographic information system (GIS). Four earthquakes, for which adequate published records are available, are selected to examine the performance of the GIS-based rapid assessment in helping the government to perform emergency rescue work. The calculated results of the four selected earthquakes indicate that the intensities of the meizoseismal area and the affected area have the acceptable mean accuracies between 97.5% and 76.5%. The mean accuracies of the number of fatalities and direct economic losses are 66.1% and 54.2%, respectively, whereas the affected population, the number of damaged houses, and the number of injured people have relatively lower mean accuracies. Although the assessment results are not absolutely accurate, the spatial distribution of the results corresponds with the actual situation.
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title_short	GIS-Based Rapid Disaster Loss Assessment for Earthquakes
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