计及城市房屋建筑装修破坏的地震经济损失评估方法研究
发布时间：2019-06-28 13:41
【摘要】：本文通过对比、分析我国目前地震经济损失评估中存在的一些问题,提出了城市房屋计及装修费用的地震损失评估方法。通过汶川地震现场调查、收集造价资料和问卷调查的形式给出了几个关键参数的合理取值,如:装修破坏损失比、中高档装修重置单价、中高档装修房屋在不同发达水平城市中所占比例及修正系数等。利用本文方法对内蒙古包头西6.4级地震、汶川8.0级地震及深圳经济特区的房屋建筑地震损失进行了评估和预测,并与实际统计结果进行了对比分析,结果表明考虑装修费用损失后的损失评估结果增加了10%~30%。
[Abstract]:Based on the comparison, this paper analyzes some problems existing in the assessment of earthquake economic loss in China, and puts forward the seismic loss assessment method of urban housing taking into account the cost of decoration. Through the field investigation of Wenchuan earthquake, the reasonable values of several key parameters are given by collecting the cost data and the form of questionnaire survey, such as the damage loss ratio of decoration, the replacement unit price of middle and high grade decoration, the proportion and correction coefficient of middle and high grade decoration houses in different developed cities, and so on. The earthquake losses of Baotou West 6.4 earthquake, Wenchuan M _ S8 earthquake and Shenzhen Special Economic Zone are evaluated and predicted by using this method, and the results are compared with the actual statistical results. The results show that the loss assessment result increases by 10% 鈮，
本文编号：2507343
[Abstract]:Based on the comparison, this paper analyzes some problems existing in the assessment of earthquake economic loss in China, and puts forward the seismic loss assessment method of urban housing taking into account the cost of decoration. Through the field investigation of Wenchuan earthquake, the reasonable values of several key parameters are given by collecting the cost data and the form of questionnaire survey, such as the damage loss ratio of decoration, the replacement unit price of middle and high grade decoration, the proportion and correction coefficient of middle and high grade decoration houses in different developed cities, and so on. The earthquake losses of Baotou West 6.4 earthquake, Wenchuan M _ S8 earthquake and Shenzhen Special Economic Zone are evaluated and predicted by using this method, and the results are compared with the actual statistical results. The results show that the loss assessment result increases by 10% 鈮，
本文编号：2507343
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