Abstract
Geological events are neither isotropic nor homogeneous in their occurrences. These two properties present difficulties for spatial modeling of regionalized variables. This paper presents a point cumulative semivariogram (PCSV) technique for quantifying the heterogeneity characteristics of the phenomenon concerned. The basis of the methodology is to obtain experimental PCSVs for each measurement point which led to estimation of radius of influence around each site. In addition, the experimental PCSVs provide basic information about the heterogeneity of the geological variable in the region, and furthermore many useful interpretations can be made concerning the regional variability of the variable. It provides the measure of cumulative similarity of a regional variable around any measurement site. Because PCSV is a means of measuring total similarity, maps at fixed similarity levels are provided in order to document the regional heterogeneity. Identification of heterogeneities depends on the comparison of fixed PCSV values at a multitude of irregularly scattered sites. The PCSV methodology has been applied to the regional seismic data of Turkey.
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REFERENCES
Alsan, E., 1972, Magnitude and time distribution of earthquakes in Turkey: Bull. Intern. Inst. Seismol. Earthquake Eng., v. 7, p. 1–10.
Bath, M., 1979, Seismic risk in Turkey: A preliminary approach: Techtonophysics, v. 54, p. T9–T16.
Burges, T. M., and Webster, R., 1980, Optimal interpretation and isarithmic mapping of soil properties. 1. The semi-variogram and punctual kriging: Jour. Soil Science, v. 31, p. 315–331.
Clark, I., 1979, The semivariogram—Part 1: Eng. Min. Jour., v. 7, p. 90–94.
Davis, J., 1986. Statistic and data analysis in geology: John Wiley & Sons, New York, 560 p.
Erdik, M., Doyuran, V., Akkas, N., and Gülkan, P., 1985. A probabilistic assessment of the seismic hazard in Turkey: Tectonophysics, v. 117, p. 295–330.
Gambolati, G., and Volpi, G., 1979, Groundwater contour mapping in Venice by stochastic interpolators. 1. Theory: Water Resources Res., v. 15, p. 281–290.
Gençoğlu, S., and Tabban, A., 1973, Unpublished earthquake catalogue compilations for Turkey: Earthquake Research Division of the Ministry of Reconstruction and Resettlement, Ankara.
Hattori, S., 1979, Seismic risk maps in the world. II: Bull. Int. Inst. Seismol., Earthquake Eng., v. 17, p. 33–96.
Isaaks, E. H., and Srivastava, R. M., 1989, An introduction to applied geostatistics: Oxford Univ. Press, Oxford, 561 p.
Journel, A. G., and Huijbregts, C. I., 1978, Mining geostatistics: Academic Press, London, 710 p.
Journel, A. G., 1983, Non-parametric estimation of spatial distribution: Math. Geology, v. 15, p. 445–468.
Journel, A. G., 1986, Constrained interpolation and quantitative information: Math. Geology, v. 18, p. 269–286.
Journel, A. G., and Isaaks, E., 1984, Conditional indicator simulation: Application to a Saskatchawan uranium deposit: Math. Geology, v. 17, p. 685–718.
Journel, A. G., and Posa, D., 1990, Characteristic behavior and order relations for indicator variograms: Math Geology, v. 22, p. 1011–1025.
Lajaunie, G., 1984, A geostatistical approach to air pollution modeling, in Verly, G., David, M., Journel, A. G., and Marechal, A., eds., Geostatistics for natural resources characterization: Reidel, Dordrecht, p. 877–891.
Kitanidis, P. K., and Vomvoris, E. G., 1983, A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one-dimensional simulation: Water Resources Res., v. 19, p. 677–690.
Matheron, G., 1963, Principles of geostatistics: Economic Geology, v. 58, p. 1246–1266.
McCullogh, M. J., 1975, Estimating by kriging the reliability of the proposed Trent telemetry network: Comp. Appl., v. 2, p. 1031–1041.
Myers, D. E., Begovich, C. L., Butz, T. R., and Kane, V. E., 1982, Variogram models for regional groundwater chemical data: Math. Geology, v. 14, p. 629–644.
Şen, Z., 1977, Autorun analysis of hydrologic time series: Jour. Hydrology, v. 36, p. 1189–1210.
Şen, Z., 1989, Cumulative semivariogram model of regionalized variables: Math. Geology, v. 21, p. 891–903.
Şen, Z., 1992, Standard cumulative semivariograms of stationary stochastic processes and regional correlation: Math. Geology, v. 24, p. 417–435.
Şen, Z., 1996. The integral of the semivariogram: A powerful method for adjusting the semivariogram: Letter to Editor: Math. Geology, v. 28, p. 371–373.
Üçer, B., Ayhan, E., and Alsan, E., 1977, Türkiye'nin deprem bölgelerinin belirlenmesinde bazi istatistiki yöntemler (Soem statistical methods for determining earthquake regions of Turkey): Deprem Araştirma Enstitüsü Bülteni, Bull. Res. Inst., v. 5, p. 1–25.
Taylor, G. I., 1915, Eddy motion in the atmosphere: Philosophical Trans. Roy. Soc., Ser. A, 215, p. 1.
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Şen, Z. Point Cumulative Semivariogram for Identification of Heterogeneities in Regional Seismicity of Turkey. Mathematical Geology 30, 767–787 (1998). https://doi.org/10.1023/A:1021704507596
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DOI: https://doi.org/10.1023/A:1021704507596