• Journal of Environmental Science International
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• v.17 no.10
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• pp.1111-1120
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• 2008

In order to study the degree of improved air quality as an outcome of the action plan of Atmospheric Environment Improvement in Gimhae, Gyeongnam Province, we investigated the status and trends of air pollutant before and after the plan. Nitrogen dioxide and ozone, both classified as hazardous substances, were closely monitored with particular attention. The level of sulfur dioxide, nitrogen dioxide, fine particles and ozone (but for carbon monoxide) was decreased after the plan was implemented. The number of days on which ozone exceeded the National Ambient Air Quality Standard has decreased, but the level was still often exceeded. The level of nitrogen dioxide did not surpass until the 2006 standard, but when the revised 2007 standard was implemented, it exceeded 80% of some standards. The yearly level of ozone has decreased since the plan was introduced. The concentration of nitrogen dioxide, however, has reduced in high order area while increased in low order area.

• Asian Journal of Atmospheric Environment
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• v.5 no.4
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• pp.228-236
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• 2011

Since most Green House Gases (GHGs) and air pollutants are generated from the same sources, it will be cost-effective to develop a GHGs reduction plan in combination with simultaneous removal of air pollutants. However, effects on air pollutants reduction according to implementing any GHG abatement plans have been rarely studied. Reflecting simultaneous removal of air pollutants along with the GHGs emission reduction, this study investigated relative cost effectiveness among GHGs reduction action plans in Busan Metropolitan City. We employed the Data Envelopment Analysis (DEA), a methodology that evaluates relative efficiency of decision-making units (DMUs) producing multiple outputs with multiple inputs, for the investigation. Assigning each GHGs reduction action plan to a DMU, implementation cost of each GHGs reduction action plan to an input, and reduction potential of GHGs and air pollutants by each GHGs reduction action plan to an output, we calculated efficiency scores for each GHGs reduction action plan. When the simultaneous removal of air pollutants with the GHGs reduction were considered, green house supply-insulation improvement and intelligent transportation system (ITS) projects had high efficiency scores for cost-positive action plans. For cost-negative action plans, green start network formation and running, and daily car use control program had high efficiency scores. When only the GHGs reduction was considered, project priority orders based on efficiency scores were somewhat different from those when both the removal of air pollutants and GHGs reduction were considered at the same time. The expected action plan priority difference is attributed to great difference of air pollutants reduction potential according to types of energy sources to be reduced.