Literature DB >> 23472300

PM2.5 mass and species trends in Santiago, Chile, 1998 to 2010: the impact of fuel-related interventions and fuel sales.

Iny Jhun1, Pedro Oyola, Francisco Moreno, Marcela A Castillo, Petros Koutrakis.   

Abstract

UNLABELLED: Improving air quality in Santiago has been a high priority for the Chilean government. In this paper we examine trends of fine particulate matter (PM2.5) mass and species concentrations during the period 1998 to 2010 and explore the impact of fuel-related interventions and fuel sales on concentration changes. Smoothing spline functions were utilized to characterize and account for nonlinear relationships between pollutant concentrations and different parameters. Meteorology-adjusted PM2.5 concentrations were lower by 21.8 microg/m3 in 2010 compared to 1998. In this model, wind speed was the most important determinant of PM2.5 levels. A decrease in 24-hr average wind speed below 1.0 m/s was associated with a significant increase in daily PM2.5 levels, indicating a high sensitivity of PM2.5 concentrations to the accumulation of local emissions. The same regression model framework was applied to examine the trends of lead, bromine, and sulfur concentrations. Removal of lead and bromine from gasoline achieved dramatic decreases in their atmospheric concentrations. Nonetheless, both elements continue to persist, likely in the form of PbBrCl. The reduction of diesel sulfur content from 1,500 to 50 ppm corresponded to a 32% decrease in particulate sulfur levels. Lastly, a surge in PM2.5 was observed in 2005-2008. Further regression analyses suggested this was prompted by a rise in monthly petroleum-based fuel sales. IMPLICATIONS: In this paper, we elucidate meteorology-adjusted trends of PM2.5 mass and species concentrations in Santiago and assess the efficacy of fuel-related interventions, such as the removal of lead from gasoline and reduction of sulfur content in diesel. In addition, we explore the impact of fuel sales on PM2.5 trends. Given that fuel consumption is likely to increase further in this rapidly growing city, understanding its impact on PM2.5 trends can inform future air quality control efforts in Santiago.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23472300     DOI: 10.1080/10962247.2012.742027

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  7 in total

1.  Global Association of Air Pollution and Cardiorespiratory Diseases: A Systematic Review, Meta-Analysis, and Investigation of Modifier Variables.

Authors:  Weeberb J Requia; Matthew D Adams; Altaf Arain; Stefania Papatheodorou; Petros Koutrakis; Moataz Mahmoud
Journal:  Am J Public Health       Date:  2017-10-26       Impact factor: 9.308

2.  Characteristics of PM2.5 Concentrations across Beijing during 2013-2015.

Authors:  Stuart Batterman; Lizhong Xu; Feng Chen; Fang Chen; Xuefen Zhong
Journal:  Atmos Environ (1994)       Date:  2016-08-23       Impact factor: 4.798

3.  The impact of nitrogen oxides concentration decreases on ozone trends in the USA.

Authors:  Iny Jhun; Brent A Coull; Antonella Zanobetti; Petros Koutrakis
Journal:  Air Qual Atmos Health       Date:  2015-06       Impact factor: 3.763

4.  Long-term impact of PM2.5 mass and sulfur reductions on ultrafine particle trends in Boston, MA from 1999 to 2018.

Authors:  Melissa Fiffer; Choong-Min Kang; Weeberb J Requia; Petros Koutrakis
Journal:  J Air Waste Manag Assoc       Date:  2020-07       Impact factor: 2.235

5.  Interventions to reduce ambient particulate matter air pollution and their effect on health.

Authors:  Jacob Burns; Hanna Boogaard; Stephanie Polus; Lisa M Pfadenhauer; Anke C Rohwer; Annemoon M van Erp; Ruth Turley; Eva Rehfuess
Journal:  Cochrane Database Syst Rev       Date:  2019-05-20

6.  Particulate matter disrupts human lung endothelial cell barrier integrity via Rho-dependent pathways.

Authors:  Ting Wang; Yuka Shimizu; Xiaomin Wu; Gabriel T Kelly; Xiaoyan Xu; Lichun Wang; Zhongqing Qian; Yin Chen; Joe G N Garcia
Journal:  Pulm Circ       Date:  2017-06-23       Impact factor: 3.017

7.  Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10.

Authors:  Héctor Jorquera; Ana María Villalobos
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.