Spatial analysis of environmental inequalities caused by multiple air pollutants: A cumulative impact screening method, applied to the north of France. Lanier, C., Deram, A., Cuny, M., Cuny, D., & Occelli, F. Ecological Indicators, 99:91–100, April, 2019. ![Spatial analysis of environmental inequalities caused by multiple air pollutants: A cumulative impact screening method, applied to the north of France [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Differential and not fair exposure to environmental risk factors across socio-demographic groups, called environmental justice (EJ), may contribute to inequalities in health and most often put disadvantaged groups at higher risk for environmental health effects. Main literature has difficulties to consider the potential exposure of populations to different levels of air pollutants. Cumulative and long-term exposures are still seldom considered. We propose a comprehensive EJ methodology to prioritize and characterize neighborhoods which takes into account the cumulative impact of health determinants. For this purpose, the use of environmental biomonitoring is an innovative approach to consider the integrated and long-term exposure to complex air pollution. Cumulative Impact Screening (CIS) methodology was used for two contrasted living areas of France. CIS is based on synthetic and composite index construction. Three scores were attributed to each neighborhood according to a cumulative calculation of key parameters: environmental score (using 3 air biomonitoring parameters: trace elements loads in lichens, lichenic biodiversity and dust deposition on poplar leaves), socioeconomic deprivation score and susceptible population score. Each score can be considered as a dimension of health vulnerability. CIS analysis and maps highlighted the unequal spatial distribution of EJ. After the multi-criteria hierarchization of spatial units, the influence of each dimension was characterized in each neighborhood with radar charts. The study was carried out in two living areas in the north of France: a costal industrial zone, the Dunkerque Urban Community and a densely populated area located at the crossroads of Europe, the European Lille Metropolis. Three neighborhoods of the highest vulnerability level were identified in each area. We highlighted a same level of vulnerability can be related to different profiles of determinants. This multidimensional approach was able to discriminate neighborhoods with a gradient level of vulnerability in each area, despite different environmental, demographic and economic contexts. This cross-use constitutes a preliminary validation in order to assess the replicability of the methodology. This step showed that this approach could be replicated in countries or regions which would have different characteristics: it is both specific to a given context and well suited for different contexts. We demonstrated that environmental biomonitoring is a smart approach to fill the lack of available data on multiple air pollution at the local scale. The tool developed is specific to the territory and transposable and communicant, which facilitate adoption by a variety of community agency and other regulatory stakeholders, and prioritization of public health actions.
@article{lanier_spatial_2019,
title = {Spatial analysis of environmental inequalities caused by multiple air pollutants: {A} cumulative impact screening method, applied to the north of {France}},
volume = {99},
issn = {1470-160X},
shorttitle = {Spatial analysis of environmental inequalities caused by multiple air pollutants},
url = {http://www.sciencedirect.com/science/article/pii/S1470160X18309440},
doi = {10.1016/j.ecolind.2018.12.011},
abstract = {Differential and not fair exposure to environmental risk factors across socio-demographic groups, called environmental justice (EJ), may contribute to inequalities in health and most often put disadvantaged groups at higher risk for environmental health effects. Main literature has difficulties to consider the potential exposure of populations to different levels of air pollutants. Cumulative and long-term exposures are still seldom considered. We propose a comprehensive EJ methodology to prioritize and characterize neighborhoods which takes into account the cumulative impact of health determinants. For this purpose, the use of environmental biomonitoring is an innovative approach to consider the integrated and long-term exposure to complex air pollution. Cumulative Impact Screening (CIS) methodology was used for two contrasted living areas of France. CIS is based on synthetic and composite index construction. Three scores were attributed to each neighborhood according to a cumulative calculation of key parameters: environmental score (using 3 air biomonitoring parameters: trace elements loads in lichens, lichenic biodiversity and dust deposition on poplar leaves), socioeconomic deprivation score and susceptible population score. Each score can be considered as a dimension of health vulnerability. CIS analysis and maps highlighted the unequal spatial distribution of EJ. After the multi-criteria hierarchization of spatial units, the influence of each dimension was characterized in each neighborhood with radar charts. The study was carried out in two living areas in the north of France: a costal industrial zone, the Dunkerque Urban Community and a densely populated area located at the crossroads of Europe, the European Lille Metropolis. Three neighborhoods of the highest vulnerability level were identified in each area. We highlighted a same level of vulnerability can be related to different profiles of determinants. This multidimensional approach was able to discriminate neighborhoods with a gradient level of vulnerability in each area, despite different environmental, demographic and economic contexts. This cross-use constitutes a preliminary validation in order to assess the replicability of the methodology. This step showed that this approach could be replicated in countries or regions which would have different characteristics: it is both specific to a given context and well suited for different contexts. We demonstrated that environmental biomonitoring is a smart approach to fill the lack of available data on multiple air pollution at the local scale. The tool developed is specific to the territory and transposable and communicant, which facilitate adoption by a variety of community agency and other regulatory stakeholders, and prioritization of public health actions.},
urldate = {2018-12-20},
journal = {Ecological Indicators},
author = {Lanier, Caroline and Deram, Annabelle and Cuny, Marie-Amélie and Cuny, Damien and Occelli, Florent},
month = apr,
year = {2019},
keywords = {Environmental justice, Environmental management, Health determinants, Plant biomonitoring, Synthetic index, Territory vulnerability},
pages = {91--100},
}
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