Journal Article Ppublish 10 citations
PubMed: 34248301 DOI: 10.1016/j.jclepro.2021.127533
A new approach for health-oriented ozone control strategy: Adjoint-based optimization of NO x emission reductions using metaheuristic algorithms.
J Clean Prod 312(20):127533
Authors: Mengya Wang, Tao Huang, David C Wong, Kin Fai Ho, Guanghui Dong, Steve H L Yim
Affiliations
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, N.T. Hong Kong, China.
- Computational Exposure Division, National Exposure Research Laboratory, US Environmental Protection Agency, Hong Kong, China.
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong, China. Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Sha Tin, N.T. Hong Kong, China.
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Sha Tin, N.T. Hong Kong, China.
- Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong, China.
- Asian School of the Environment, Nanyang Technological University, Singapore.
Abstract
While levels of particulate matters in the Pearl River Delta Region (PRD) show a significant reduction, ozone (O 3) has an opposite increasing trend, becoming the critical air quality target in this decade. Emission control strategies are typically formulated sector by sector, spatial variability in emissions reductions and health impacts of air pollutants may not be taken into account, affecting the overall effectiveness of control strategies. This study proposes an adjoint-based optimization framework to facilitate health-oriented O 3 control over PRD. The location-specific adjoint sensitivity coefficients, which reflect the spatiotemporal influences from emissions of nitrogen dioxide (NO x) on O 3 health impacts, are combined with metaheuristic algorithms to minimize the O 3-related premature mortalities over receptor regions. Using the proposed optimization methodology, the regional O 3 health benefits under current emission reduction policy can be increased by 16-27%. The results show that relatively larger NO x emissions reductions occurred at highly developed and populated areas. Particularly, significant reductions in NO x emissions are observed at Shenzhen and urban Guangzhou. Furthermore, implementing regional NO x emissions abatement has advantages to achieve an overall O 3 health benefits for all cities. The interregional influences of NO x emissions abatement between cities indicate a promising strategy of health-oriented O 3 control in PRD.
MeSH
Algorithms, Air, Cities