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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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2018/7424818 |
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| _version_ | 1832551238113165312 |
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| author | Aleksandr Danilov Inna Pivovarova Svetlana Krotova |
| author_facet | Aleksandr Danilov Inna Pivovarova Svetlana Krotova |
| author_sort | Aleksandr Danilov |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-1c47a9ac8c3a47fda7bd17965ff75c77 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-1c47a9ac8c3a47fda7bd17965ff75c772025-02-03T06:01:53ZengWileyThe Scientific World Journal2356-61401537-744X2018-01-01201810.1155/2018/74248187424818Geostatistical Analysis Methods for Estimation of Environmental Data HomogeneityAleksandr Danilov0Inna Pivovarova1Svetlana Krotova2Geoecology Department, Saint-Petersburg Mining University, St. Petersburg 199106, RussiaDepartment of Informatics and Computer Technology, Saint-Petersburg Mining University, St. Petersburg 199106, RussiaDepartment of Informatics and Computer Technology, Saint-Petersburg Mining University, St. Petersburg 199106, RussiaThe 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.http://dx.doi.org/10.1155/2018/7424818 |
| spellingShingle | Aleksandr Danilov Inna Pivovarova Svetlana Krotova Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2018/7424818 |
| work_keys_str_mv | AT aleksandrdanilov geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity AT innapivovarova geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity AT svetlanakrotova geostatisticalanalysismethodsforestimationofenvironmentaldatahomogeneity |