REMOTE SENSING DATA BASED REAL-TIME EARTHQUAKE LOSS ASSESSMENT METHODOLOGY
Using satellite remote sensing data to derive building attributes and earthquake vulnerability characteristics makes the rapid assessment of dynamic earthquake losses in fast economic developing areas possible and practical. The key parameters in earthquake damage analyses such as building height and construction area can be extracted from remote sensing data using newly developed image processing techniques at relatively low cost. The building height is used to derive the vulnerability characteristic distributions for a loss estimate in conjunction with a composite earthquake vulnerability model or damage probability matrix (DPM) from a few typical structure types. Weighting factors in occupancy type, structure type, and year built band of buildings with a specific height category are used in loss calculations. The remote sensing information based earthquake loss assessment methodology and its specific implementation procedure are developed in this paper. It greatly enriches the general method of earthquake loss estimation in urban areas. The new methodology can also be used to rapidly report the damage distribution from a real earthquake event by incorporating the real-time ground motion distribution estimate for the event. The assessment of losses from scenario earthquakes in Zhangzhou, Fujian, China is used to demonstrate the application of the proposed methodology.
Remote sensing Vulnerability Characteristic distributions Inventory
Shaobo Wang Junrong Huo Yijue Wang
Professor and Division Head,Earthquake Administration of Shanghai,Shanghai,China Director of Catastrophe Risk,GeoVera Insurance Company,Fairfield,CA,USA Deputy Director,Division of Science and Technology of Zhangzhou,Zhangzhou,Fujian,China
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）