zmap a tool for analyses of seismicity patterns typical applications ...

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Figure 12: Histogram of radii in Figure 11. 35 km is the most common radius. A further of quality control is offered by the standard error map for the b-value estimates (Figure 13). This map allows the investigator to select samples from areas where problems may exist with straight line fits of the magnitude frequency distribution. Figure 13: Map of the standard error of the b-value estimate. Often, these errors are due to the presence of a single large event that does not fit the rest of the distribution, as in the case of the red pot near 63.3°/-145.8° (Figure 13). But sometimes they flag volumes with families of events with approximately constant size. Figure 14: Frequency magnitude distribution from 63.3°/-145.8°, where a poor fit is flagged in the error map (Figure 12). 12
Articles in which tools discussed in this chapter were used: Zuniga, R., and M. Wyss, Inadvertent changes in magnitude reported in earthquake catalogs: Influence on b-value estimates, Bull. Seismol. Soc. Am., 85, 1858-1866, 1995. Zuniga, F.R., and S. Wiemer, Seismicity patterns: are they always related to natural causes?, Pageoph, 155, 713-726, 1999. Wiemer, S., and M. Baer, Mapping and removing quarry blast events from seismicity catalogs, Bulletin of the Seismological Society of America, 90, 525-530, 2000. Wiemer, S., and M. Wyss, Minimum magnitude of complete reporting in earthquake catalogs: examples from Alaska, the Western United States, and Japan, Bulletin of the Seismological Society of America, 90, 859-869, 2000. 13
Page 1 and 2: ZMAP A TOOL FOR ANALYSES OF SEISMIC
Page 3 and 4: INTRODUCTION This cookbook is aimed
Page 5 and 6: Figure 2: Seismicity map of the ent
Page 7 and 8: Save new mat-file: At this point it
Page 9 and 10: Narrowing the target of investigati
Page 11: Figure 11: Resolution map with the
Page 15 and 16: Figure 2.2: Genas1 window. The cumu
Page 17 and 18: Figure 2.5: Comparison of the rates
Page 19 and 20: this case, the routine found that a
Page 21 and 22: cumulative number curve for M>1. ev
Page 23 and 24: Second: One may want to know the am
Page 25 and 26: Figure 3. 5: Z-menu window. Choosin
Page 27 and 28: each node and calculates for every
Page 30 and 31: Again the grid is chosen by using t
Page 33 and 34: Articles in which tools discussed i
Page 35 and 36: Figure 4.2: b-value maps of souther
Page 37 and 38: Figure 4.5: (a) Magnitude of comple
Page 39 and 40: Changes of b-values as a function o
Page 41 and 42: CHAPTER V Stress Tensor Inversions
Page 43 and 44: Inverting for the best fitting stre
Page 45 and 46: of S1 as a bar, and color codes the
Page 47 and 48: Using Gephart’s code An alternati
Page 49 and 50: #define VARIANCE_30 30 change to: #
Page 51 and 52: depicts the misfit value f. Please
Page 53 and 54: Lu, Z., M. Wyss, and H. Pulpan, Det
Page 55 and 56: • First rename mydata into a: a =
Page 57 and 58: CHAPTER VII Tips an tricks for maki
Page 59 and 60: Now lets change the axes setup. Sel
Page 61 and 62: Alternatively, you can print from t
Page 63:
Working with interpolated color map
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