Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils
The distribution of Hg in the vicinity of roads is probably not exclusively dependent on car emissions, but also on the presence of other point or diffuse sources of Hg emissions located from metres to several km away. The source of mercury in urbanised areas is pollution derived from the burning of...
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2021
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oai:doaj.org-article:31486c0822b54cadbc9058a2d09537b92021-11-25T18:26:23ZAssessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils10.3390/min111112212075-163Xhttps://doaj.org/article/31486c0822b54cadbc9058a2d09537b92021-11-01T00:00:00Zhttps://www.mdpi.com/2075-163X/11/11/1221https://doaj.org/toc/2075-163XThe distribution of Hg in the vicinity of roads is probably not exclusively dependent on car emissions, but also on the presence of other point or diffuse sources of Hg emissions located from metres to several km away. The source of mercury in urbanised areas is pollution derived from the burning of fuels and industrial and transport waste, while in agricultural areas, it is constituent in mineral fertilisers and crop protection products. The research objective was to evaluate the content and spatial distribution of mercury in arable soils adjacent to the A1 motorway in Poland. The research material consisted of 40 soil samples taken from 20 test points on four transects at distances of 5, 10, 25 and 50 m from a noise barrier and in the direction of an arable field, and 10 m from the noise barrier in the direction of the motorway. Total mercury content was determined by atomic absorption spectrometry using an AMA 254 analyser. The spatial relationship between adjacent observations of variables was assessed using Moran’s I overall autocorrelation coefficient. Probability maps of mercury distribution in the field and pollution indicators were elaborated in ArcGIS 10.4.1. using Inverse Distance Weighted interpolation. Analysis of the spatial correlation of Moran’s I showed a lack of spatial dependence between tested points, which may evidence that the motorway does not affect mercury contents in the soil. The elevated mercury content at a single test point may indicate a random event unrelated to the motorway’s operation.Hanna JaworskaJoanna KlimekMDPI AGarticlemercury in agricultural soilshighway traffic pollutionMoran’s I autocorrelation coefficientpollution indexMineralogyQE351-399.2ENMinerals, Vol 11, Iss 1221, p 1221 (2021) |
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mercury in agricultural soils highway traffic pollution Moran’s I autocorrelation coefficient pollution index Mineralogy QE351-399.2 |
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mercury in agricultural soils highway traffic pollution Moran’s I autocorrelation coefficient pollution index Mineralogy QE351-399.2 Hanna Jaworska Joanna Klimek Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
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The distribution of Hg in the vicinity of roads is probably not exclusively dependent on car emissions, but also on the presence of other point or diffuse sources of Hg emissions located from metres to several km away. The source of mercury in urbanised areas is pollution derived from the burning of fuels and industrial and transport waste, while in agricultural areas, it is constituent in mineral fertilisers and crop protection products. The research objective was to evaluate the content and spatial distribution of mercury in arable soils adjacent to the A1 motorway in Poland. The research material consisted of 40 soil samples taken from 20 test points on four transects at distances of 5, 10, 25 and 50 m from a noise barrier and in the direction of an arable field, and 10 m from the noise barrier in the direction of the motorway. Total mercury content was determined by atomic absorption spectrometry using an AMA 254 analyser. The spatial relationship between adjacent observations of variables was assessed using Moran’s I overall autocorrelation coefficient. Probability maps of mercury distribution in the field and pollution indicators were elaborated in ArcGIS 10.4.1. using Inverse Distance Weighted interpolation. Analysis of the spatial correlation of Moran’s I showed a lack of spatial dependence between tested points, which may evidence that the motorway does not affect mercury contents in the soil. The elevated mercury content at a single test point may indicate a random event unrelated to the motorway’s operation. |
format |
article |
author |
Hanna Jaworska Joanna Klimek |
author_facet |
Hanna Jaworska Joanna Klimek |
author_sort |
Hanna Jaworska |
title |
Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
title_short |
Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
title_full |
Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
title_fullStr |
Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
title_full_unstemmed |
Assessment of the Impact of a Motorway on Content andSpatial Distribution of Mercury in Adjacent Agricultural Soils |
title_sort |
assessment of the impact of a motorway on content andspatial distribution of mercury in adjacent agricultural soils |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/31486c0822b54cadbc9058a2d09537b9 |
work_keys_str_mv |
AT hannajaworska assessmentoftheimpactofamotorwayoncontentandspatialdistributionofmercuryinadjacentagriculturalsoils AT joannaklimek assessmentoftheimpactofamotorwayoncontentandspatialdistributionofmercuryinadjacentagriculturalsoils |
_version_ |
1718411126012641280 |