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Estimating the number of casualties in earthquakes from early field reports and improving the estimate with time

机译:根据早期的现场报告估算地震中的人员伤亡人数,并随着时间的推移改进估算

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We investigate the time dependence of the number of deaths reported through Internet after earthquakes and/or earthquake-generated tsunami. An approximate relation N(t) = N 0 [1 − exp(−αt)] is used to describe such temporal variation, in which N(t) is the number of deaths reported at time t, N 0 is the final number of deaths, and α is the coefficient reflecting the rescue process. We considered 12 earthquake cases since 2001 using the information from the web, which shows that the N-t relation approximates the data, and the logarithm of α is reversely proportional to the magnitude of earthquake, albeit with significant uncertainties. Quick and rough estimate of the final death toll can be made using this simple and approximate relation, with the empirical α-M relation as a reference. For the 12 cases under consideration, quick and rough estimate of fatalities can be obtained 2 days after the earthquake, fitting the real situation in the order of magnitudes. Although being very rough, this estimate can assist the emergency decision-making and can be revised as time lapses. When more and more data becomes available, curve fitting can provide both N 0 and α at the same time. The method is tested against the data of the recent Yushu earthquake on April 14, 2010.
机译:我们调查了地震和/或地震引发的海啸后通过互联网报告的死亡人数与时间的关系。近似关系N(t)= N 0 [1- exp(-αt)]用于描述这种时间变化,其中N(t)是在时间t报告的死亡人数, N 0 是最终的死亡人数,α是反映救援过程的系数。自2001年以来,我们使用网络中的信息考虑了12个地震案例,这表明N-t关系近似于数据,并且α的对数与地震幅度成反比,尽管存在很大的不确定性。可以使用这种简单的近似关系,以经验α-M关系作为参考,对最终死亡人数进行快速而粗略的估计。对于正在考虑的12种情况,可以在地震发生两天后对死亡人数进行快速而粗略的估算,这与数量级的实际情况相符。尽管非常粗略,但该估计值可以帮助紧急决策,并且可以随时间推移进行修订。当越来越多的数据可用时,曲线拟合可以同时提供N 0 和α。该方法已针对2010年4月14日最近的玉树地震数据进行了测试。

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