Ian Frederic P. Garcia, J. Go, Rio Jasmin D. Go, Paoala Beatrize B. Suspine, N. Concha
{"title":"帕西格市地震液化易感性图","authors":"Ian Frederic P. Garcia, J. Go, Rio Jasmin D. Go, Paoala Beatrize B. Suspine, N. Concha","doi":"10.1109/HNICEM.2017.8269538","DOIUrl":null,"url":null,"abstract":"Marikina Valley fault system movements, average fault slip rates, and recurrence intervals were carried out to predict the occurrence and characteristics of the anticipated large-magnitude earthquake. This however does not include potential liquefaction that is essential in providing profound disaster preparedness plans and contingency measures. It is therefore vital to develop a novel liquefaction map to address this concern. In this study the City of Pasig was analysed using the Soil Investigation Reports from year 2000 to 2016 of each 30 barangays. The study will benefit the City of Pasig by providing liquefaction susceptability contour maps corresponding to earthquake magnitudes 6.8, 7.2 and 7.6 using Semi-Empirical Method. Based on the analysis, 79% are highly susceptible and 21% are least susceptible to liquefaction for earthquake magnitude of 6.8. Also there are 84% that are highly susceptible and 16% are least susceptible to liquefaction for earthquake magnitude of 7.2 while 87% are highly susceptible and 13% are least susceptible to liquefaction for earthquake magnitude of 7.6. A vast majority of the soils in the City of Pasig are therefore expected to liquefy when the expected large earthquake magnitude occur.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Earthquake liquefaction susceptibility mapping of Pasig City\",\"authors\":\"Ian Frederic P. Garcia, J. Go, Rio Jasmin D. Go, Paoala Beatrize B. Suspine, N. Concha\",\"doi\":\"10.1109/HNICEM.2017.8269538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marikina Valley fault system movements, average fault slip rates, and recurrence intervals were carried out to predict the occurrence and characteristics of the anticipated large-magnitude earthquake. This however does not include potential liquefaction that is essential in providing profound disaster preparedness plans and contingency measures. It is therefore vital to develop a novel liquefaction map to address this concern. In this study the City of Pasig was analysed using the Soil Investigation Reports from year 2000 to 2016 of each 30 barangays. The study will benefit the City of Pasig by providing liquefaction susceptability contour maps corresponding to earthquake magnitudes 6.8, 7.2 and 7.6 using Semi-Empirical Method. Based on the analysis, 79% are highly susceptible and 21% are least susceptible to liquefaction for earthquake magnitude of 6.8. Also there are 84% that are highly susceptible and 16% are least susceptible to liquefaction for earthquake magnitude of 7.2 while 87% are highly susceptible and 13% are least susceptible to liquefaction for earthquake magnitude of 7.6. A vast majority of the soils in the City of Pasig are therefore expected to liquefy when the expected large earthquake magnitude occur.\",\"PeriodicalId\":104407,\"journal\":{\"name\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM.2017.8269538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2017.8269538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Earthquake liquefaction susceptibility mapping of Pasig City
Marikina Valley fault system movements, average fault slip rates, and recurrence intervals were carried out to predict the occurrence and characteristics of the anticipated large-magnitude earthquake. This however does not include potential liquefaction that is essential in providing profound disaster preparedness plans and contingency measures. It is therefore vital to develop a novel liquefaction map to address this concern. In this study the City of Pasig was analysed using the Soil Investigation Reports from year 2000 to 2016 of each 30 barangays. The study will benefit the City of Pasig by providing liquefaction susceptability contour maps corresponding to earthquake magnitudes 6.8, 7.2 and 7.6 using Semi-Empirical Method. Based on the analysis, 79% are highly susceptible and 21% are least susceptible to liquefaction for earthquake magnitude of 6.8. Also there are 84% that are highly susceptible and 16% are least susceptible to liquefaction for earthquake magnitude of 7.2 while 87% are highly susceptible and 13% are least susceptible to liquefaction for earthquake magnitude of 7.6. A vast majority of the soils in the City of Pasig are therefore expected to liquefy when the expected large earthquake magnitude occur.