Literature DB >> 15084357

Multi-objective analysis of ground-level ozone concentration control.

Giorgio Guariso1, Guido Pirovano, Marialuisa Volta.   

Abstract

To develop sound air quality plans, regional authorities should have instruments that link the complex behaviour of pollutants both in time and space with costs of emission reduction. The problem is particularly important for ground level ozone which forms kilometres away, hours later from the emission of its precursors. To approach this problem, a method (1) to identify local pollutant-precursor models on the basis of results from a large photochemical model (CALGRID), (2) to integrate them in a multi-objective mathematical program, together with an estimate of the emission reduction costs, is suggested. The method has been used to assess action priorities in Lombardy (Northern Italy). This area, characterised by a complex terrain, high urban and industrial emissions and a dense road network is often affected by severe photochemical pollution episodes during summer.

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Year:  2004        PMID: 15084357     DOI: 10.1016/j.jenvman.2003.12.015

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Large-scale optimization of multi-pollutant control strategies in the Pearl River Delta region of China using a genetic algorithm in machine learning.

Authors:  Jinying Huang; Yun Zhu; James T Kelly; Carey Jang; Shuxiao Wang; Jia Xing; Pen-Chi Chiang; Shaojia Fan; Xuetao Zhao; Lian Yu
Journal:  Sci Total Environ       Date:  2020-03-06       Impact factor: 7.963

  1 in total

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