STATISTICAL SIMULATION OF RANDOM FIELD ON 2D AREA WITH GENERALIZED GNEITING TYPE CORRELATION FUNCTION IN THE GEOPHYSICAL PROBLEM OF ENVIRONMENT MONITORING

IF 0.2 Q4 GEOLOGY
Z. Vyzhva, V. Demidov, A. Vyzhva
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引用次数: 0

Abstract

Due to the increasing number of natural and technogenic disasters the development of geological environment monitoring system is actual using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. Complex geophysical research was conducted on Rivne NPP area. Among these monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest. In this case a problem was occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (random field on a plane) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense correlation function generalized Gneiting type. In this paper the method is used and the model and procedure were developed with enough adequate data for generalized Gneiting type correlation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in the plane and statistical simulation algorithm was developed using generalized Gneiting type correlation function based on spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.
环境监测地球物理问题中二维区域随机场的广义gneiting型相关函数统计模拟
随着自然灾害和技术灾害的日益增多,利用现代数学工具和信息技术开发地质环境监测系统势在必行。潜在危险物体的局部监测是整个环境监测系统的重要组成部分。在Rivne核电站区域进行了复杂的地球物理研究。在这些监测观测中,建筑物周边土壤密度和湿度的放射性同位素研究是最令人感兴趣的。在这种情况下,在包括29口井的网格上使用放射性同位素方法来补充在研究工业区控制白垩地层密度变化时收到的模拟数据时,出现了一个问题。本工作通过统计模拟方法解决了这一问题,该方法提供了在监测区域的任何点显示值(平面上的随机场)的能力。利用所建立的模型和广义Gneiting型均方相关函数的介入最优,对工业区内白垩地层的平均密度进行了模拟。本文采用该方法,在足够的数据基础上建立了广义Gneiting型相关函数的模型和程序。建立了模型和算法,并给出了Rivne核电站密集度白垩地层监测中岩溶-渗透现象统计模拟的实例。建立了平面上平均密度白垩地层分布的统计模型,利用基于谱分解的广义Gneiting型相关函数开发了统计模拟算法。基于开发的软件,在观测网格上获得了具有所需细节和规律性的研究课题实现。对数值模拟结果进行了统计分析,并对其充分性进行了检验。
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