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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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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. |
format | Online Article Text |
id | pubmed-6009014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT danilovaleksandr geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity AT pivovarovainna geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity AT krotovasvetlana geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity |