Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity.
The methodology for assessing the spatial homogeneity of ecosystems with the possibility of subsequent zoning of territories in terms of the degree of disturbance of the environment is considered in the study. The degree of pollution of the water body was reconstructed on the basis of hydrochemical...
| Publicado en: | Scientific World Journal pp. 1 - 8 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
6/3/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129909884&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129909884 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 6/3/2018 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 129909884 129909884 NLM29970973 10.1155/2018/7424818 NLM29970973 129909884 ppf: 1 ppct: 7 formats: tig: atl: Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity. aug: au: Danilov, Aleksandr Pivovarova, Inna Krotova, Svetlana affil: Geoecology Department, Saint-Petersburg Mining University, St. Petersburg 199106, Russia sug: ab: The methodology for assessing the spatial homogeneity of ecosystems with the possibility of subsequent zoning of territories in terms of the degree of disturbance of the environment is considered in the study. The degree of pollution of the water body was reconstructed on the basis of hydrochemical monitoring data and information on the level of the technogenic load in one year. As a result, the greatest environmental stress zones were isolated and correct zoning using geostatistical analysis techniques was proved. Mathematical algorithm computing system was implemented in an object-oriented programming C #. A software application has been obtained that allows quickly assessing the scale and spatial localization of pollution during the initial analysis of the environmental situation. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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