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Historical Seismograms - Evidence from the AD 2000 Izu Islands ...

Historical Seismograms - Evidence from the AD 2000 Izu Islands ...

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3 16 De-yi Feny, Ming-zhoti Lin, and Ktin-yuan ZhtianyuyuanFigure 2. Intensity of Haiyuan earthquake.By using <strong>the</strong> fuzzy description method mentioned above, we may determine <strong>the</strong>characters of <strong>the</strong> mechanical effects of a historical earthquake at all recording points,and <strong>the</strong>refore, recognize <strong>the</strong> compressional points to be denoted by <strong>the</strong> sign “+”,and <strong>the</strong> rarefactional points to be denoted by <strong>the</strong> sign ‘I-’’. As an example, Table 3shows <strong>the</strong> data of compressional and rarefactional points for <strong>the</strong> 1920 Haiyuan(M = 8.5) great earthquake. These data may be used to determine its sourcemechanism.3.2. MethodUsing <strong>the</strong> data of compressional and rarefactional points obtained <strong>from</strong> recordedmacroscopic phenomena of a historical earthquake, we may determine its sourceniechanism, namely, <strong>the</strong> fault plane and <strong>the</strong> principal compressional and dilatationalstress axes by applying <strong>the</strong> method based on <strong>the</strong> first motion sigris of P waves.However, <strong>the</strong>re may be a range of source mechanisms because of insufficient datapoints. Consequently, we often obtain several possible models of source mechanismfor <strong>the</strong> same earthquake. For choosing <strong>the</strong> optimal model, we may apply <strong>the</strong> methodof fuzzy multifactorial evaluation (Feng et al., 1983~). This method consists of <strong>the</strong>following main steps.First, we must take several factors for fuzzy multifactorial evaluation. In thispaper, three factors were used:(1) Comparison with regional seismotectonics. Suppose we have n possible faultplane solutions for an earthquake, <strong>the</strong>n we can compare <strong>the</strong>m with <strong>the</strong> main regionalgeological fault and find <strong>the</strong> corresponding standard deviations in orientation,(TI, uz, . . . , un. The values l - o,,i = l, 2, . . . , n may be considered as a factorfor fuzzy multifactorial evaluation.

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