CASE STUDY ON RAPID ASSESSMENT OF REGIONAL SEISMIC LANDSLIDE HAZARD BASED ON SIMPLIFIED NEWMARK DISPLACEMENT MODEL: WENCHUAN M_S 8.0 EARTHQUAKE
CASE STUDY ON RAPID ASSESSMENT OF REGIONAL SEISMIC LANDSLIDE HAZARD BASED ON SIMPLIFIED NEWMARK DISPLACEMENT MODEL: WENCHUAN M_S 8.0 EARTHQUAKE
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发表时间：
2013
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通讯作者：
Xin Peng
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作者：
Xin Peng
初步建立了基于简化Newmark位移模型的地震滑坡灾害快速评估方法，并以汶川8.0级地震重灾区11个县为例，利用实时地震地震动参数、经验工程地质岩性、地形坡度等资料，基于ArcGIS空间数据建模工具，开发了地震滑坡灾害快速评估模块，静态安全系数Fs和临界安全系数Fs分别为1.25和1.25，计算了区域浅层饱和岩土体边坡的加速度ac，并据此评价了地震滑坡的易发性，利用经验公式计算了汶川地震的阿里亚斯烈度和区域滑坡位移DN分布，在此基础上，实现了汶川地震重灾区地震滑坡灾害的快速评估，评估结果可为应急决策提供参考。通过对龙门山中央断裂带两侧约20 km范围内的地震滑坡调查与评价结果的对比分析，表明龙门山中央断裂带两侧近20 km范围内的数十个特大型滑坡几乎全部位于极高-高危险区，对比结果表明评价模型具有较好的可靠性。同时，分析了由于空间数据精度和更新性差而导致局部评价结果不准确的局限性，并提出了改进建议。
The rapid assessment method on seismic landslide hazard based on simplified Newmark displacement model is preliminarily developed,in Wenchuan Ms 8.0 earthquake severely afflicted 11 counties.With the real-time earthquake ground motion parameters,empirical engineering geology lithology formations,topographic slope data,the module of seismic landslide hazard rapid assessment is produced based on ArcGIS spatial data modeller tools.Static safety factor Fs and critical acceleration ac of regional shallow saturated rock and soil mass slope are calculated,according to which seismic landslide susceptibility is assessed.The Arias intensity of Wenchuan earthquake and regional landslide displacement DN distribution are calculated with empirical formula,based on which rapid assessment of seismic landslide hazard in Wenchuan earthquake severely afflicted area is realized.The assessment results can be reference for emergency response decision-making.It is indicated that tens of catastrophic landslides are almost totally located in extreme high-high hazard zone,which within both sides about 20km of Longmenshan central fault belt through comparing the seismic landslide investigation and assessment results.The comparing result indicates the well reliability of assessing model.Meanwhile,the limitation is also analyzed that local assessment result is inaccurate due to poor spatial data accuracy and update.Some improvement suggestion is provided.