Modelling the impact of human activity on nitrogen dioxide concentrations in Europe

TL;DR

This paper develops a Bayesian hierarchical model to analyze how human activities influence nitrogen dioxide levels across Europe, distinguishing global environmental factors from local urban effects to inform policy and health assessments.

Contribution

It introduces a multi-level Bayesian approach that separates global and local pollution effects, providing a detailed understanding of human activity impacts on air quality.

Findings

Significant increases in nitrogen dioxide linked to human activity in urban areas.

Model effectively isolates global climate and topography effects from local pollution sources.

Provides a framework for health impact assessments and policy development.

Abstract

Ambient concentrations of many pollutants are associated with emissions due to human activity, such as road transport and other combustion sources. In this paper we consider air pollution as a multi--level phenomenon within a Bayesian hierarchical model. We examine different scales of variation in pollution concentrations ranging from large scale transboundary effects to more localised effects which are directly related to human activity. Specifically, in the first stage of the model, we isolate underlying patterns in pollution concentrations due to global factors such as underlying climate and topography, which are modelled together with spatial structure. At this stage measurements from monitoring sites located within rural areas are used which, as far as possible, are chosen to reflect background concentrations. Having isolated these global effects, in the second stage we assess the effects of human activity on pollution in urban areas. The proposed model was applied to concentrations of nitrogen dioxide measured throughout the EU for which significant increases are found to be associated with human activity in urban areas. The approach proposed here provides valuable information that could be used in performing health impact assessments and to inform policy.