汶川地震应急监测评估方法研究
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摘要
以汶川地震灾害应急遥感监测评估过程为例,介绍了利用遥感技术等手段对巨灾灾情进行应急监测评估的技术方法,并重点对四川、陕西和甘肃3省受灾较重的152个县(市、区)进行了应急评估。结果表明,汶川地震房屋倒损严重,受灾人口分布点多面广,受灾程度总体上与断裂带分布呈明显对应关系,山区受灾重于平原,农村重于城镇。四川省汶川、北川、青川、绵竹等12个县(市、区)受灾极为严重,甘肃省文县和陕西省勉县等受灾相对较重,利用地面调查数据验证,证明了评估结果具有较高的准确性。提出了基于遥感数据研判、空间分析外推技术的自下向上、逐级汇总的应急评估技术路线,能够发挥遥感数据的优势,也能保证应急评估的时效性,同时有利于组织大规模协同运行与综合结果生成,具有良好的科学性和可操作性,特别适合于巨灾灾情遥感应急评估工作。
Wenchuan Earthquake,8.0 Richter Magnitude,is the most destructive,most widely-spread and the one entails the most difficulties in disaster-relief since the founding of People's Republic of China.Along with the earthquake,many secondary disasters,such as mountain collapses,landslides and debris flows and dammed lakes occurred and enlarged the disaster.After the earthquake,National Disaster Reduction Committee(NDRC)and Ministry of Civil Affairs(MCA)triggered the domestic and international satellite remote sensing data achieving mechanism immediately,including the International CHARTER Space and Major Disasters.The achieved data were used for the continuous disaster monitoring and urgent disaster assessment,and provided effective information in disaster relief.This paper establishes an urgent assessment method for catastrophe,which is based on the interpretating with remote sensing data and the deducting by spatial analysis.Taking the urgent assessment using remote sensing data during the Wenchuan Earthquake as an example,this paper apply the method into the assessment for the 152 counties of Sichuan,Shanxi and Gansu provinces.The results show that buildings are destroyed seriously,and the affected population distribute in a very wide area.In general,the disaster loss is distributed corresponding to the fault zone.The disaster loss in mountain area is larger than that in plain area,and the damage in village area is more serious than that in urban area.Wenchuan,Beichuan,Qingchuan,and Mianzhu and other 8 counties in Sichuan province are the most seriously damaged counties.Wen County in Gansu province and Mian county in Shan'xi province are serious damaged.By validation with field investigation,the efficiency of the assessment was approved.The paper developes a step-by-step collection method of assessment,which takes the advantage of the remote sensing data and meets the efficiency need of urgent disaster assessment.The method is also useful for the coordinative operation and comprehensive assessment.The method is scientific,applicable,and feasible in disaster assessment with remote sensing data during catastrophe.
Wenchuan Earthquake,8.0 Richter Magnitude,is the most destructive,most widely-spread and the one entails the most difficulties in disaster-relief since the founding of People's Republic of China.Along with the earthquake,many secondary disasters,such as mountain collapses,landslides and debris flows and dammed lakes occurred and enlarged the disaster.After the earthquake,National Disaster Reduction Committee(NDRC)and Ministry of Civil Affairs(MCA)triggered the domestic and international satellite remote sensing data achieving mechanism immediately,including the International CHARTER Space and Major Disasters.The achieved data were used for the continuous disaster monitoring and urgent disaster assessment,and provided effective information in disaster relief.This paper establishes an urgent assessment method for catastrophe,which is based on the interpretating with remote sensing data and the deducting by spatial analysis.Taking the urgent assessment using remote sensing data during the Wenchuan Earthquake as an example,this paper apply the method into the assessment for the 152 counties of Sichuan,Shanxi and Gansu provinces.The results show that buildings are destroyed seriously,and the affected population distribute in a very wide area.In general,the disaster loss is distributed corresponding to the fault zone.The disaster loss in mountain area is larger than that in plain area,and the damage in village area is more serious than that in urban area.Wenchuan,Beichuan,Qingchuan,and Mianzhu and other 8 counties in Sichuan province are the most seriously damaged counties.Wen County in Gansu province and Mian county in Shan'xi province are serious damaged.By validation with field investigation,the efficiency of the assessment was approved.The paper developes a step-by-step collection method of assessment,which takes the advantage of the remote sensing data and meets the efficiency need of urgent disaster assessment.The method is also useful for the coordinative operation and comprehensive assessment.The method is scientific,applicable,and feasible in disaster assessment with remote sensing data during catastrophe.
引文
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[8]An Q M,Ding L F,Wang H Z,et al.Research of Property andAcitivity of Longmen Mountain Fault Zone[J].Journal ofGeod-esy and Geodynamics,2004,24(2):115—119.[安其美,丁立丰,王海忠等.龙门山断裂带的性质与活动性研究[J].大地测量与地球动力学,2004,24(2):115—119.]
[2]Wang L,Wang X Q,Ding X,et al.Study on Loss of ConstructionEarthquake Damage Based on Remote Sensing and GIS[J].Earthquake,2007,27(4):77—83.[王龙,王晓青,丁香等.基于遥感和GIS的建筑物震害损失评估方法研究与实现[J].地震,2007,27(4):77—83].
[3]Xie L L,Zhang X Z,Zhou Y N.On the Design Earthquake Levelfor Earthquake Resistant Works[J].Earthquake Engineeringand Engineering Vibration,1996;16(1):1—17.[谢礼立,张晓志,周雍年.论工程抗震设防标准.地震工程与工程震动,1996;16(1):1—17.]
[4]Lan Q L,An W P,Zhao W X.Seismic Damage Step-by-Step As-sessment[J].North China Earthquake Sciences,1999,17(4):46—52.[兰青龙,安卫平,赵文星.地震灾害损失的分级评估[J].华北地震科学,1999;17(4):46—52.]
[5]Code for Seismic Design of Buildings:GB 50011-2001[S].2001.[中华人民共和国国家标准:GB 50011-2001.[S].建筑抗震设计规范[S].2001]
[6]Yan F T.Fast Assessment of Earthquake Disasters[J].JournalofSeismological Research,2003,26(4):382—387.[晏凤桐.地震灾情的快速评估[J].地震研究,2003,26(4):382—387.]
[7]Yang TQ,Jiang L X,Yang G L.A Study Earthquake CasualtyRapid Estimation[J].Seismological and Geomagnetic Observa-tion and Research,2006,27(4):39—43.[杨天青,姜立新,杨桂岭.地震人员伤亡快速评估[J].地震地磁观测与研究,2006,27(4):39—43.]
[8]An Q M,Ding L F,Wang H Z,et al.Research of Property andAcitivity of Longmen Mountain Fault Zone[J].Journal ofGeod-esy and Geodynamics,2004,24(2):115—119.[安其美,丁立丰,王海忠等.龙门山断裂带的性质与活动性研究[J].大地测量与地球动力学,2004,24(2):115—119.]
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