Assessing PM10 source reduction in urban agglomerations for air quality compliance

被引:16
|
作者
Aleksandropoulou, Victoria [1 ]
Eleftheriadis, Konstantinos [2 ]
Diapouli, Evangelia [2 ]
Torseth, Kjetil [3 ]
Lazaridis, Mihalis [1 ]
机构
[1] Tech Univ Crete, Dept Environm Engn, Khania, Greece
[2] NCSR Demokritos, Inst Nucl Technol & Radiat Protect, Aghia Paraskevi, Greece
[3] Norwegian Inst Air Res NILU, Kjeller, Norway
来源
JOURNAL OF ENVIRONMENTAL MONITORING | 2012年 / 14卷 / 01期
关键词
LONG-RANGE TRANSPORT; PARTICULATE MATTER; STATISTICAL DISTRIBUTIONS; DESCRIPTIVE ANALYSIS; MAXIMUM-LIKELIHOOD; ORGANIC AEROSOL; FINE; ATHENS; POLLUTION; AREA;
D O I
10.1039/c1em10673b
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The objective of this work was to study PM10 and PM2.5 concentration data available from monitoring stations in two large urban agglomerations in Greece and to estimate the emissions reduction required for compliance with the EU Air Quality Standards (AQS) for particulate matter. The cities studied are namely the Athens and Thessaloniki Metropolitan Areas (AMA and TMA, respectively). PM10 concentrations during the period 2001-2010 have been evaluated for 15 air quality monitoring stations in the two urban areas. It was found that the concentrations of PM10 during the period studied constantly exceeded the threshold values at the traffic and industrial stations in TMA and most of the traffic sites in AMA. Most of the occurrences of non-attainment to the daily AQSs were observed during the winter period at all stations (more pronounced for TMA stations). The reduction in current emission source strength to meet the air quality goal was calculated by the rollback equation using PM10 day-averaged concentrations over the selected period at each station. Among the lognormal and Weibull distributions, the lognormal distribution was found to best fit the frequency distributions of PM10 concentrations at the selected stations. The results showed that the minimum reduction required in order to meet the AQS in the AMA ranges from approximately 20 to 38% and up to 11% for traffic and background stations, respectively. Reductions in the range of 31% for traffic and 44% for industrial areas in TMA are also required. The same methodology was applied to PM2.5 concentrations in the AMA and showed that emission reductions up to 31% are necessary in order to meet the 2020 EU AQS. Finally, continuous concentration data of organic (OC) and elementary carbon (EC) in PM2.5 were used to study the possibility of achieving specific emission attenuation objectives in AMA.
引用
收藏
页码:266 / 278
页数:13
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