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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Autores principales: Hanna Jaworska, Joanna Klimek
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/31486c0822b54cadbc9058a2d09537b9
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic mercury in agricultural soils
highway traffic pollution
Moran’s I autocorrelation coefficient
pollution index
Mineralogy
QE351-399.2
spellingShingle 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
description 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
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