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...
Ausführliche Beschreibung
Autor*in: |
Shaohua Zhang [verfasserIn] Kun Yang [verfasserIn] Yanbo Cao [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2019 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: IEEE Access - IEEE, 2014, 7(2019), Seite 6129-6139 |
---|---|
Übergeordnetes Werk: |
volume:7 ; year:2019 ; pages:6129-6139 |
Links: |
---|
DOI / URN: |
10.1109/ACCESS.2018.2889918 |
---|
Katalog-ID: |
DOAJ056926936 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ056926936 | ||
003 | DE-627 | ||
005 | 20230308204856.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2019 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1109/ACCESS.2018.2889918 |2 doi | |
035 | |a (DE-627)DOAJ056926936 | ||
035 | |a (DE-599)DOAJf639831753894c08b137d10e61e1ea33 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a TK1-9971 | |
100 | 0 | |a Shaohua Zhang |e verfasserin |4 aut | |
245 | 1 | 0 | |a GIS-Based Rapid Disaster Loss Assessment for Earthquakes |
264 | 1 | |c 2019 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a 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. | ||
650 | 4 | |a GIS | |
650 | 4 | |a earthquake rapid response | |
650 | 4 | |a economic losses assessment | |
650 | 4 | |a damaged buildings assessment | |
650 | 4 | |a fatalities assessment | |
653 | 0 | |a Electrical engineering. Electronics. Nuclear engineering | |
700 | 0 | |a Kun Yang |e verfasserin |4 aut | |
700 | 0 | |a Yanbo Cao |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t IEEE Access |d IEEE, 2014 |g 7(2019), Seite 6129-6139 |w (DE-627)728440385 |w (DE-600)2687964-5 |x 21693536 |7 nnns |
773 | 1 | 8 | |g volume:7 |g year:2019 |g pages:6129-6139 |
856 | 4 | 0 | |u https://doi.org/10.1109/ACCESS.2018.2889918 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/f639831753894c08b137d10e61e1ea33 |z kostenfrei |
856 | 4 | 0 | |u https://ieeexplore.ieee.org/document/8590824/ |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2169-3536 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 7 |j 2019 |h 6129-6139 |
author_variant |
s z sz k y ky y c yc |
---|---|
matchkey_str |
article:21693536:2019----::ibsdaidsselsassmnf |
hierarchy_sort_str |
2019 |
callnumber-subject-code |
TK |
publishDate |
2019 |
allfields |
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 |
spelling |
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 |
allfields_unstemmed |
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 |
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 |
sourceStr |
In IEEE Access 7(2019), Seite 6129-6139 volume:7 year:2019 pages:6129-6139 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment Electrical engineering. Electronics. Nuclear engineering |
isfreeaccess_bool |
true |
container_title |
IEEE Access |
authorswithroles_txt_mv |
Shaohua Zhang @@aut@@ Kun Yang @@aut@@ Yanbo Cao @@aut@@ |
publishDateDaySort_date |
2019-01-01T00:00:00Z |
hierarchy_top_id |
728440385 |
id |
DOAJ056926936 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ056926936</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308204856.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/ACCESS.2018.2889918</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ056926936</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf639831753894c08b137d10e61e1ea33</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TK1-9971</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Shaohua Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">GIS-Based Rapid Disaster Loss Assessment for Earthquakes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">GIS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">earthquake rapid response</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">economic losses assessment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">damaged buildings assessment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fatalities assessment</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kun Yang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanbo Cao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">IEEE Access</subfield><subfield code="d">IEEE, 2014</subfield><subfield code="g">7(2019), Seite 6129-6139</subfield><subfield code="w">(DE-627)728440385</subfield><subfield code="w">(DE-600)2687964-5</subfield><subfield code="x">21693536</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2019</subfield><subfield code="g">pages:6129-6139</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1109/ACCESS.2018.2889918</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f639831753894c08b137d10e61e1ea33</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ieeexplore.ieee.org/document/8590824/</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2169-3536</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2019</subfield><subfield code="h">6129-6139</subfield></datafield></record></collection>
|
callnumber-first |
T - Technology |
author |
Shaohua Zhang |
spellingShingle |
Shaohua Zhang 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 GIS-Based Rapid Disaster Loss Assessment for Earthquakes |
authorStr |
Shaohua Zhang |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)728440385 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
TK1-9971 |
illustrated |
Not Illustrated |
issn |
21693536 |
topic_title |
TK1-9971 GIS-Based Rapid Disaster Loss Assessment for Earthquakes GIS earthquake rapid response economic losses assessment damaged buildings assessment fatalities assessment |
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 |
topic_browse |
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 |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
IEEE Access |
hierarchy_parent_id |
728440385 |
hierarchy_top_title |
IEEE Access |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)728440385 (DE-600)2687964-5 |
title |
GIS-Based Rapid Disaster Loss Assessment for Earthquakes |
ctrlnum |
(DE-627)DOAJ056926936 (DE-599)DOAJf639831753894c08b137d10e61e1ea33 |
title_full |
GIS-Based Rapid Disaster Loss Assessment for Earthquakes |
author_sort |
Shaohua Zhang |
journal |
IEEE Access |
journalStr |
IEEE Access |
callnumber-first-code |
T |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2019 |
contenttype_str_mv |
txt |
container_start_page |
6129 |
author_browse |
Shaohua Zhang Kun Yang Yanbo Cao |
container_volume |
7 |
class |
TK1-9971 |
format_se |
Elektronische Aufsätze |
author-letter |
Shaohua Zhang |
doi_str_mv |
10.1109/ACCESS.2018.2889918 |
author2-role |
verfasserin |
title_sort |
gis-based rapid disaster loss assessment for earthquakes |
callnumber |
TK1-9971 |
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. |
collection_details |
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 |
title_short |
GIS-Based Rapid Disaster Loss Assessment for Earthquakes |
url |
https://doi.org/10.1109/ACCESS.2018.2889918 https://doaj.org/article/f639831753894c08b137d10e61e1ea33 https://ieeexplore.ieee.org/document/8590824/ https://doaj.org/toc/2169-3536 |
remote_bool |
true |
author2 |
Kun Yang Yanbo Cao |
author2Str |
Kun Yang Yanbo Cao |
ppnlink |
728440385 |
callnumber-subject |
TK - Electrical and Nuclear Engineering |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1109/ACCESS.2018.2889918 |
callnumber-a |
TK1-9971 |
up_date |
2024-07-03T23:33:42.968Z |
_version_ |
1803602753456439296 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ056926936</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308204856.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/ACCESS.2018.2889918</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ056926936</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf639831753894c08b137d10e61e1ea33</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TK1-9971</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Shaohua Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">GIS-Based Rapid Disaster Loss Assessment for Earthquakes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">GIS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">earthquake rapid response</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">economic losses assessment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">damaged buildings assessment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fatalities assessment</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kun Yang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanbo Cao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">IEEE Access</subfield><subfield code="d">IEEE, 2014</subfield><subfield code="g">7(2019), Seite 6129-6139</subfield><subfield code="w">(DE-627)728440385</subfield><subfield code="w">(DE-600)2687964-5</subfield><subfield code="x">21693536</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2019</subfield><subfield code="g">pages:6129-6139</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1109/ACCESS.2018.2889918</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f639831753894c08b137d10e61e1ea33</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ieeexplore.ieee.org/document/8590824/</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2169-3536</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2019</subfield><subfield code="h">6129-6139</subfield></datafield></record></collection>
|
score |
7.3985605 |