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

Z. Vyzhva, V. Demidov, A. Vyzhva
{"title":"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","authors":"Z. Vyzhva, V. Demidov, A. Vyzhva","doi":"10.17721/1728-2713.98.11","DOIUrl":null,"url":null,"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.","PeriodicalId":42798,"journal":{"name":"Visnyk of Taras Shevchenko National University of Kyiv-Geology","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STATISTICAL SIMULATION OF RANDOM FIELD ON 2D AREA WITH GENERALIZED GNEITING TYPE CORRELATION FUNCTION IN THE GEOPHYSICAL PROBLEM OF ENVIRONMENT MONITORING\",\"authors\":\"Z. Vyzhva, V. Demidov, A. Vyzhva\",\"doi\":\"10.17721/1728-2713.98.11\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":42798,\"journal\":{\"name\":\"Visnyk of Taras Shevchenko National University of Kyiv-Geology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visnyk of Taras Shevchenko National University of Kyiv-Geology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17721/1728-2713.98.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visnyk of Taras Shevchenko National University of Kyiv-Geology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17721/1728-2713.98.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
STATISTICAL SIMULATION OF RANDOM FIELD ON 2D AREA WITH GENERALIZED GNEITING TYPE CORRELATION FUNCTION IN THE GEOPHYSICAL PROBLEM OF ENVIRONMENT MONITORING
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
66.70%
发文量
0
期刊最新文献
HISTORY, CURRENT STATE AND FUTURE PROSPECTS OF GEOELECTROMAGNETIC RESEARCH IN UKRAINE HIGHLY PROSPECTIVE OBJECTS OF THE MINERAL AND RAW MATERIAL BASE OF UKRAINE. PART 1. METALLIC MINERALS CRETACEOUS RIFTING IN THE GEOLOGICAL HISTORY OF THE UKRAINIAN SECTOR OF THE BLACK SEA GEOPHYSICS OF PEDOSPHERE IN KYIV UNIVERSITY REGIONAL MINERAL AND RAW MATERIAL BASES AS A KEY FACTOR IN THE DEVELOPMENT OF UKRAINE DURING THE WAR AND POST-WAR PERIODS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1