2013年四川芦山7.0级地震烈度遥感评估
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摘要
2013年4月20日四川芦山MS7.0级地震发生后,在灾区应急获取了多种高分辨率航空和无人机遥感影像,并快速解译提取了灾区建筑物震害信息.采用地震烈度遥感定量评估方法,利用2008年汶川8.0级地震等震后震害遥感解译和现场调查研究确定的经验震害遥感定量评估模型,获得了芦山地震灾区126个主要居民点的地震烈度遥感评估结果,并据此圈画了地震烈度分布遥感评估图.结果显示,本次地震Ⅸ度区面积约150km2,Ⅷ度区面积约900km2.该结果在第一时间(4月21日晚)提供给了中国地震局地震现场应急指挥部.对比分析显示,地震烈度遥感快速评估结果与中国地震局4月25日公布的地震烈度图,以及与笔者在现场实地进行的建筑物震害详细调查结果基础上评定的地震烈度具有较高的一致性.表明强烈地震发生后,借助于快速获取的灾区高分辨率遥感影像,可以快速估计地震烈度分布,对地震灾区灾情估计和抗震救灾工作具有十分重要的参考意义.
It is very important to obtain the earthquake disaster information for the support to the earthquake emergency rescue.The field survey is an important way to acquire such information and estimate the seismic intensity.But it usually takes too long time to meet the need of emergency rescue.As the remote sensing(RS)has the ability to quickly acquire macroscopic disaster information,the development of RS-based assessment approach of seismic intensity will not only improves the scientific basis for the emergency assessment,but also has great significance in practical application.In this work,the seismic damage index and seismic intensity are probed to estimate quantitatively based on the individual building damage grades extracted from aerial borne very high resolution(VHR)remote sensing images acquired immediately after the earthquake.In order to validate the method and deepen the understanding of the damage distribution and the causes,the RS based seismic intensity assessment result in each settlement is compared with one determined by field survey.The aerial borne VHR images are used to extract damage grades(collapsed,partial collapsed or un-collapsed)of individual buildings.The damage index in a settlement,as a statistical unit,is the sum of proportion of each building damage grade weighted by the mean damage index(1.0,0.5,0.0respectively to collapsed,partial collapsed and un-collapsed grades).The seismic damage index equivalent to the ground truth on each residential unit will be obtained through the conversion relationship of damage indices established by the field survey and by extraction from RS images of historical earthquakes.Then the seismic intensity on each residential site is determined according to the relationship of seismic damage index and seismic intensity on the"Seismic Intensity Scale of China".The Lushan MS7.0earthquake occurred on 20 April 2013in Sichuan,China,which caused great casualties and economic losses.The VHR images were acquired immediately after the event by manned and unmanned aerial vehicles,from which the quantitative data of building damage was extracted.By using the RS-based seismic intensity assessment method described in the paper,the damage indexes were estimated based on the extraction of building damage from RS images in 126 main settlements in the affected areas of the Lushan earthquake.Then the seismic damage index equivalent to the ground truth in each settlement was obtained according to the empirical transformation model built from the case studies of the 2008 MS8.0 Wenchuan shock and other quakes.Thus the seismic intensity in each settlement was estimated and the RS-based seismic intensity distribution map was prepared.The results show that the areas are about 150km2 for the region of seismic intensity IX,and about 900km2 for VIII.The rapidly estimated seismic intensity results,as an important reference for emergency rescue and on-site assessment of seismic intensity, were immediately sent to the on-site emergency headquarters of China Earthquake Administration(CEA)for the Lushan MS7.0earthquake at the night of April 21.Comparative analysis of the seismic intensity assessed by using RS imagery shows high consistency with the seismic intensity map officially released by CEA on April 25(the overall accuracy of the consistency of 80%,Kappa test value 0.68)in 106 settlements,as well as with the results determined through detail field investigation of individual building damage by the authors after emergency stage(the overall accuracy of the consistency of 80%,Kappa test value0.71)in 10 main towns.It indicates that the seismic intensity can be estimated quickly through VHR images acquired immediately after destructive earthquakes. The results are import references useful to the disaster assessment and rescues.
引文
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