{"title":"Spatial uncertainty analysis for water distribution under fragility curves","authors":"Ming-Ko Chung, Che-Hao Chang","doi":"10.1109/GEOINFORMATICS.2009.5293417","DOIUrl":null,"url":null,"abstract":"On September 21, 1999, the Chi-Chi Earthquake occurred in central part of Taiwan. The earthquake caused over 10,000 buildings collapsing and over 2,300 people dead, and ninety-two fire events within twenty-four hours. The water supply facilities were also damaged seriously by the earthquake, and couldn't provide industry using and fire-fighting using water. The post-earthquake fires can cause severe damage, especially in an urban area, such as the 1994 Northridge Earthquake and 1995 Kobe Earthquake. Therefore, the reliability of water supply system after earthquake should be estimated. It's can help to prevent water shortage caused by earthquake. In order to predict the damage of water supply network after earthquake, the fragility curves should be derived. This study use the fragility curve which derived by regression analysis which was performed by repair rate and ground strain that was calculated by Permanent Ground Deformation (PGD) applied Strain Gage Rosettes method and Mohr's circle.(CHANG and CHUNG 2008). Therefore, damaged points can be estimated through the damage ratio correspond to different earthquake intensity. Damaged points are distributed in water pipeline network randomly, and loss of water by different earthquake intensity can be assessed. The simulations help us to analyze the water supply capabilities by different earthquake intensity. Base on spatial uncertainty analysis of random distributed damaged points, the reliability of water supply system is estimated.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 17th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
On September 21, 1999, the Chi-Chi Earthquake occurred in central part of Taiwan. The earthquake caused over 10,000 buildings collapsing and over 2,300 people dead, and ninety-two fire events within twenty-four hours. The water supply facilities were also damaged seriously by the earthquake, and couldn't provide industry using and fire-fighting using water. The post-earthquake fires can cause severe damage, especially in an urban area, such as the 1994 Northridge Earthquake and 1995 Kobe Earthquake. Therefore, the reliability of water supply system after earthquake should be estimated. It's can help to prevent water shortage caused by earthquake. In order to predict the damage of water supply network after earthquake, the fragility curves should be derived. This study use the fragility curve which derived by regression analysis which was performed by repair rate and ground strain that was calculated by Permanent Ground Deformation (PGD) applied Strain Gage Rosettes method and Mohr's circle.(CHANG and CHUNG 2008). Therefore, damaged points can be estimated through the damage ratio correspond to different earthquake intensity. Damaged points are distributed in water pipeline network randomly, and loss of water by different earthquake intensity can be assessed. The simulations help us to analyze the water supply capabilities by different earthquake intensity. Base on spatial uncertainty analysis of random distributed damaged points, the reliability of water supply system is estimated.
1999年9月21日,台湾中部发生了集集地震。地震造成1万多座建筑物倒塌,2300多人死亡,24小时内发生了92起火灾。供水设施也受到地震的严重破坏,无法提供工业用水和消防用水。地震后的火灾会造成严重的破坏,尤其是在城市地区,比如1994年的北岭地震和1995年的神户地震。因此,需要对地震后供水系统的可靠性进行评估。它可以帮助防止地震造成的水资源短缺。为了预测地震后供水管网的破坏,需要推导出易损性曲线。本研究采用应变计玫瑰集法和莫尔圆法对修复率和永久地面变形(PGD)计算的地面应变进行回归分析得到的脆性曲线。(CHANG and CHUNG 2008)。因此,可以通过不同烈度对应的损伤比来估计损伤点。破坏点随机分布在供水管网中,可对不同烈度地震造成的水损失进行评估。模拟有助于分析不同地震烈度下的供水能力。基于随机分布损伤点的空间不确定性分析,对供水系统的可靠性进行了估计。