Multi-level policies for air quality: implications of national and sub-national emission reductions on population exposure.

ABSTRACT: Poor air quality and related health impacts are still an issue in many cities and regions worldwide. Integrated assessment models (IAMs) can support the design of measures to reduce the emissions of precursors affecting air pollution. In this study, we apply the SHERPA (screening for high emission reduction potentials for air quality) model to compare spatial and sectoral emission reductions, given country-scale emission targets. Different approaches are tested: (a) country "uniform" emission reductions, (b) emission reductions targeting urban areas, (c) emission reductions targeting preferential sectors. As a case study, we apply the approaches to the implementation of the National Emission Ceiling Directive. Results are evaluated in terms of the reduction in average population exposure t

SUBMITTER: Peduzzi E 

PROVIDER: S-EPMC6209043 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature