Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils
Mapping heavy metals and metalloids (HMM) content in urban soils is necessary for the public health risk assessment. The sampling step is usually large in comparison with typical variability intervals due to the complexity and expensiveness of analysis. This paper considers an attempt to map HMM con...
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
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V.V. Dokuchaev Soil Science Institute
2021-01-01
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| Series: | Бюллетень Почвенного института им. В.В. Докучаева |
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| Online Access: | https://bulletin.esoil.ru/jour/article/view/579 |
| _version_ | 1797231440198369280 |
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| author | A. L. Entin I. V. Timofeev |
| author_facet | A. L. Entin I. V. Timofeev |
| author_sort | A. L. Entin |
| collection | DOAJ |
| description | Mapping heavy metals and metalloids (HMM) content in urban soils is necessary for the public health risk assessment. The sampling step is usually large in comparison with typical variability intervals due to the complexity and expensiveness of analysis. This paper considers an attempt to map HMM concentration coefficients based on landscape-geochemical positions (LGP). The case study area is Darkhan, Mongolia, a large industrial and transport hub. 126 soil samples were taken for analysis of contaminants As, Cd, Cr, Cu, Pb, Sb, W; the distance between sampling points was 500–700 m. For each point, the concentration coefficient (DF) of each pollutant was calculated. The LGP map was derived from SRTM digital elevation model, with supplement of hydrographic network data. The final maps of the concentration coefficients were created using areal interpolation technique with the Voronoi diagram of sampling points as an input data and the LGP polygons as a target dataset. The relatively low sampling points density, as well as the relatively large DEM cell size limit the possibility to harmonize datasets. This leads to the noticeable difference between the parameter distribution obtained from areal interpolation and the distribution obtained from deterministic method. Besides, some resulting features should be considered as interpolation artifacts. Nevertheless, the potential suitability of LGP maps as a basis for mapping pollution of urban areas is shown. |
| first_indexed | 2024-03-08T19:15:05Z |
| format | Article |
| id | doaj.art-f96ade1d9f364244a2268d443e4e0adc |
| institution | Directory Open Access Journal |
| issn | 0136-1694 2312-4202 |
| language | Russian |
| last_indexed | 2024-04-24T15:44:25Z |
| publishDate | 2021-01-01 |
| publisher | V.V. Dokuchaev Soil Science Institute |
| record_format | Article |
| series | Бюллетень Почвенного института им. В.В. Докучаева |
| spelling | doaj.art-f96ade1d9f364244a2268d443e4e0adc2024-04-01T16:06:46ZrusV.V. Dokuchaev Soil Science InstituteБюллетень Почвенного института им. В.В. Докучаева0136-16942312-42022021-01-01010552710.19047/0136-1694-2020-105-5-27522Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soilsA. L. Entin0I. V. Timofeev1Lomonosov Moscow State UniversityLomonosov Moscow State UniversityMapping heavy metals and metalloids (HMM) content in urban soils is necessary for the public health risk assessment. The sampling step is usually large in comparison with typical variability intervals due to the complexity and expensiveness of analysis. This paper considers an attempt to map HMM concentration coefficients based on landscape-geochemical positions (LGP). The case study area is Darkhan, Mongolia, a large industrial and transport hub. 126 soil samples were taken for analysis of contaminants As, Cd, Cr, Cu, Pb, Sb, W; the distance between sampling points was 500–700 m. For each point, the concentration coefficient (DF) of each pollutant was calculated. The LGP map was derived from SRTM digital elevation model, with supplement of hydrographic network data. The final maps of the concentration coefficients were created using areal interpolation technique with the Voronoi diagram of sampling points as an input data and the LGP polygons as a target dataset. The relatively low sampling points density, as well as the relatively large DEM cell size limit the possibility to harmonize datasets. This leads to the noticeable difference between the parameter distribution obtained from areal interpolation and the distribution obtained from deterministic method. Besides, some resulting features should be considered as interpolation artifacts. Nevertheless, the potential suitability of LGP maps as a basis for mapping pollution of urban areas is shown.https://bulletin.esoil.ru/jour/article/view/579interpolationgeostatisticsdigital elevation models (dem)geomorpometrymongoliadarkhan |
| spellingShingle | A. L. Entin I. V. Timofeev Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils Бюллетень Почвенного института им. В.В. Докучаева interpolation geostatistics digital elevation models (dem) geomorpometry mongolia darkhan |
| title | Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| title_full | Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| title_fullStr | Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| title_full_unstemmed | Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| title_short | Possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| title_sort | possible application of elementary geochemical landscapes map for mapping heavy metals and metalloids content in urban soils |
| topic | interpolation geostatistics digital elevation models (dem) geomorpometry mongolia darkhan |
| url | https://bulletin.esoil.ru/jour/article/view/579 |
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