Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium
This paper investigates the spatial distribution of heavy metals (HMs) concentrations in road dusts over a part of the Brussels-Capital Region (BCR), with the aim of identifying the most relevant factors impacting these concentrations and subsequently mapping them over all road segments. For this go...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023005194 |
| _version_ | 1828000823393648640 |
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| author | Patrick Bogaert Gwenaël Diélie Axel Briffault Benoit de Saint-Hubert Michel A. Verbanck |
| author_facet | Patrick Bogaert Gwenaël Diélie Axel Briffault Benoit de Saint-Hubert Michel A. Verbanck |
| author_sort | Patrick Bogaert |
| collection | DOAJ |
| description | This paper investigates the spatial distribution of heavy metals (HMs) concentrations in road dusts over a part of the Brussels-Capital Region (BCR), with the aim of identifying the most relevant factors impacting these concentrations and subsequently mapping them over all road segments. For this goal, a set of 128 samples of road dusts was collected over a three years time span in the Anderlecht municipality, that covers about a tenth of the BCR area. The concentrations of Cd, Cr, Cu, Ni, Pb and Zn have been measured in the finest fraction (⌀<250 μm) using ICP-OES. In parallel, continuous and categorical-valued proxies have been collected over all road segments. Using a multivariate linear modeling (MLR) approach, the most influential proxies that have been identified are the distance to the center of the BCR, land use, road hierarchy and roadside parking occupation. The performance of the MLR models remains however limited, with adjusted R2 values around 0.5 for all HMs. From a spatial analysis of the regression residuals, it is likely that some useful proxies could have been overlooked. Although these models have clear limitations for reliably predicting HMs concentrations at specific locations, the corresponding maps drawn over all road segments provide a useful overview and help designing sound monitoring policies as well appropriate implementation of mitigation measures at places where road dust pollutants tend to concentrate. Further studies are needed to confirm this, but it is expected that our models will perform reasonably well over a large part of the BCR. It is believed too that our findings are relevant for modeling road dusts pollution in other cities as well. |
| first_indexed | 2024-04-10T06:21:05Z |
| format | Article |
| id | doaj.art-df76d169dc9540c1a591c657094bf3a9 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T06:21:05Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-df76d169dc9540c1a591c657094bf3a92023-03-02T05:00:56ZengElsevierHeliyon2405-84402023-02-0192e13312Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, BelgiumPatrick Bogaert0Gwenaël Diélie1Axel Briffault2Benoit de Saint-Hubert3Michel A. Verbanck4Earth & Life Institute, Université catholique de Louvain (UCLouvain), Belgium; Corresponding author.Department of Water Pollution Control, Université libre de Bruxelles (ULB), BelgiumEarth & Life Institute, Université catholique de Louvain (UCLouvain), BelgiumEarth & Life Institute, Université catholique de Louvain (UCLouvain), BelgiumDepartment of Water Pollution Control, Université libre de Bruxelles (ULB), BelgiumThis paper investigates the spatial distribution of heavy metals (HMs) concentrations in road dusts over a part of the Brussels-Capital Region (BCR), with the aim of identifying the most relevant factors impacting these concentrations and subsequently mapping them over all road segments. For this goal, a set of 128 samples of road dusts was collected over a three years time span in the Anderlecht municipality, that covers about a tenth of the BCR area. The concentrations of Cd, Cr, Cu, Ni, Pb and Zn have been measured in the finest fraction (⌀<250 μm) using ICP-OES. In parallel, continuous and categorical-valued proxies have been collected over all road segments. Using a multivariate linear modeling (MLR) approach, the most influential proxies that have been identified are the distance to the center of the BCR, land use, road hierarchy and roadside parking occupation. The performance of the MLR models remains however limited, with adjusted R2 values around 0.5 for all HMs. From a spatial analysis of the regression residuals, it is likely that some useful proxies could have been overlooked. Although these models have clear limitations for reliably predicting HMs concentrations at specific locations, the corresponding maps drawn over all road segments provide a useful overview and help designing sound monitoring policies as well appropriate implementation of mitigation measures at places where road dust pollutants tend to concentrate. Further studies are needed to confirm this, but it is expected that our models will perform reasonably well over a large part of the BCR. It is believed too that our findings are relevant for modeling road dusts pollution in other cities as well.http://www.sciencedirect.com/science/article/pii/S2405844023005194Road dustHeavy metalsUrban diffuse pollutionTraffic contaminantsGeospatial modelingSpatial mapping |
| spellingShingle | Patrick Bogaert Gwenaël Diélie Axel Briffault Benoit de Saint-Hubert Michel A. Verbanck Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium Heliyon Road dust Heavy metals Urban diffuse pollution Traffic contaminants Geospatial modeling Spatial mapping |
| title | Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium |
| title_full | Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium |
| title_fullStr | Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium |
| title_full_unstemmed | Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium |
| title_short | Identifying proxies and mapping heavy metals concentrations in city road dusts: A case study in the Brussels-Capital Region, Belgium |
| title_sort | identifying proxies and mapping heavy metals concentrations in city road dusts a case study in the brussels capital region belgium |
| topic | Road dust Heavy metals Urban diffuse pollution Traffic contaminants Geospatial modeling Spatial mapping |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023005194 |
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