Dimension estimates of earthquake epicentres and hypocentres

被引:77
作者
Harte, D [1 ]
机构
[1] Victoria Univ Wellington, Inst Stat & Operat Res, Wellington, New Zealand
关键词
D O I
10.1007/s003329900060
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We use the Hill estimator to estimate the correlation dimension of epicentres and hypocentres from four earthquake catalogues: Wellington micro earthquakes, New Zealand catalogue, Kanto micro earthquakes, and the Japanese (JMA) catalogue. We wanted to determine if the fracturing process is fractal, and whether it is different in the four selected regions. We found that the spatial pattern of tabulated shallow events in Japan is more tightly clustered than in New Zealand, while for deeper events the spatial pattern is similar In both regions, tabulated shallow events are more clustered than tabulated deeper events. It may appear that if one had a sufficiently large amount of data (enabling one to look at sufficiently small interpoint distances), the dimension of the epicentres and hypocentres would appear to be two or three, respectively; however, this may not be a true reflection of the fracturing process. Estimates that indicate that the fracturing tends ultimately to fill the entire space are probably caused by measurement errors in hypocentre locations. Similarly, for large values of interpoint distances, the power law exponent tends to be underestimated because of the boundary effect. When these two effects are sufficiently severe, they tend to merge, and it is difficult to determine power law exponents. These biases are not peculiar to the estimation procedure we have used.
引用
收藏
页码:581 / 618
页数:38
相关论文
共 22 条
[1]   UPPER AND LOWER BOUNDS ON THE RENYI DIMENSIONS AND THE UNIFORMITY OF MULTIFRACTALS [J].
BECK, C .
PHYSICA D, 1990, 41 (01) :67-78
[2]   A THEORY OF CORRELATION DIMENSION FOR STATIONARY TIME-SERIES [J].
CUTLER, CD .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1994, 348 (1688) :343-355
[3]   SOME RESULTS ON THE BEHAVIOR AND ESTIMATION OF THE FRACTAL DIMENSIONS OF DISTRIBUTIONS ON ATTRACTORS [J].
CUTLER, CD .
JOURNAL OF STATISTICAL PHYSICS, 1991, 62 (3-4) :651-708
[4]  
Efron B., 1986, STAT SCI, V1, P54, DOI [DOI 10.1214/SS/1177013815, 10.1214/ss/1177013815]
[5]   Effect of limited data sets in evaluating the scaling properties of spatially distributed data: An example from mining-induced seismic activity [J].
Eneva, M .
GEOPHYSICAL JOURNAL INTERNATIONAL, 1996, 124 (03) :773-786
[6]   MULTIFRACTAL PATTERNS OF SEISMICITY [J].
GEILIKMAN, MB ;
GOLUBEVA, TV ;
PISARENKO, VF .
EARTH AND PLANETARY SCIENCE LETTERS, 1990, 99 (1-2) :127-132
[7]   ESTIMATION OF THE KOLMOGOROV-ENTROPY FROM A CHAOTIC SIGNAL [J].
GRASSBERGER, P ;
PROCACCIA, I .
PHYSICAL REVIEW A, 1983, 28 (04) :2591-2593
[8]   SIMPLE GENERAL APPROACH TO INFERENCE ABOUT TAIL OF A DISTRIBUTION [J].
HILL, BM .
ANNALS OF STATISTICS, 1975, 3 (05) :1163-1174
[9]   MULTIFRACTAL ANALYSIS OF SPATIAL-DISTRIBUTION OF MICROEARTHQUAKES IN THE KANTO REGION [J].
HIRATA, T ;
IMOTO, M .
GEOPHYSICAL JOURNAL INTERNATIONAL, 1991, 107 (01) :155-162
[10]  
Kagan Y. Y., 1991, Journal of Nonlinear Science, V1, P1, DOI [DOI 10.1007/BF01209146, 10.1007/bf01209146]