PM trend study for the 1998 - 2012 period: Impact of Transport and Petroleum-based Fuels in Santiago Chile
Abstract
Santiago is the capital city of Chile and the combination of adverse climatic and geographical conditions, a continuously growing vehicle fleet, and an increasing number of industries, has made Santiago one of the most polluted cities in South America, and has been declared saturated zone for PM10 since 1996. Although there have been important reductions in the PM emissions due the implementation of the "Atmospheric Prevention and Decontamination Plan for the Metropolitan Region" (PPDA) however the efforts have not been enough to meet the actual standards. Currently is approved a standard for PM2.5, where the annual average is 20 μg/m3 and daily average 24 hr is 50 μg/m3. One of the PM2.5 sources are the traffic emission and one of the measures targeted in PPDA has been to regulate this source. In the last 20 years two of the main interventions have been the elimination of Lead in gasoline (2001) and the steadily reduced diesel sulfur content from 5,000 to 50 ppm. In this study we analyzed 14 years of PM2.5 mass and species concentration time's series, from April 1998 to August 2012, elemental chemical analysis was made for approximately 60% of samples using XRF technique at DRI Lab (USA). One of the objectives is evaluate the impact of fuel-related interventions and petroleum-based fuels (PBFs) sales. When was analyzed de lead concentration we found that is present in the environment despite of that was eliminated of gasoline 20 years ago. We analyzed the impact of diesel sulfur on ambient sulfur content, and was constructed a model to verify the relationship between ambient sulfur and diesel sulfur content after controlling for other covariates. The relation between ambient concentration and diesel content sulfur is linear, when the reduction of sulfur in diesel was from 1500 to 50 ppm the concentration decreased from 1.59 to 1.08 μg/m3. To determinate the impact of PBFs sales (gasoline, kerosene, petroleum) on PM2.5 concentration, we estimated PM2.5 regression model for PBF sales. In PM2.5 trend was observed an increase in 2005-2008 period ; when the PBF sales were included in the regression model, the concentration of PM2.5 was mitigated (2005-2008), this results indicates that if the PBF sales not had risen in this period the concentration of PM2.5 would not have increased as much.
- Publication:
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AGU Spring Meeting Abstracts
- Pub Date:
- May 2013
- Bibcode:
- 2013AGUSM.A31C..01C
- Keywords:
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- 0305 ATMOSPHERIC COMPOSITION AND STRUCTURE / Aerosols and particles;
- 0345 ATMOSPHERIC COMPOSITION AND STRUCTURE / Pollution: urban and regional