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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...

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Detalles Bibliográficos
Autores principales: Danilov, Aleksandr, Pivovarova, Inna, Krotova, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009014/
https://www.ncbi.nlm.nih.gov/pubmed/29970973
http://dx.doi.org/10.1155/2018/7424818
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author Danilov, Aleksandr
Pivovarova, Inna
Krotova, Svetlana
author_facet Danilov, Aleksandr
Pivovarova, Inna
Krotova, Svetlana
author_sort Danilov, Aleksandr
collection PubMed
description 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.
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spelling pubmed-60090142018-07-03 Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity Danilov, Aleksandr Pivovarova, Inna Krotova, Svetlana ScientificWorldJournal Research Article 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. Hindawi 2018-06-03 /pmc/articles/PMC6009014/ /pubmed/29970973 http://dx.doi.org/10.1155/2018/7424818 Text en Copyright © 2018 Aleksandr Danilov et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Danilov, Aleksandr
Pivovarova, Inna
Krotova, Svetlana
Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title_full Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title_fullStr Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title_full_unstemmed Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title_short Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity
title_sort geostatistical analysis methods for estimation of environmental data homogeneity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009014/
https://www.ncbi.nlm.nih.gov/pubmed/29970973
http://dx.doi.org/10.1155/2018/7424818
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