Levels, composition and source apportionment of rural background PM10 in western Mexico (state of Colima)

Developmental Biology

Andres Alastuey³  Ignacio Galindo–Estrada²  Xavier Querol³  Antonio Aragon–Pina¹  Arturo A. Campos–Ramos¹ 

[1] Instituto de Metalurgia, Universidad Autónoma de San Luis Potosí; Avenida Sierra Leona # 550, Col. Lomas Segunda Sección. C.P. 78180. San Luis Potosí, San Luis Potosí, Mexico$$;Centro Universitario en Investigaciones de Ciencias Ambientales, Universidad de Colima. Carretera Colima-Coquimatlan Km 9.5, Mexico$$;Institute of Environmental Assessment and Water Research (IDAEA) CSIC, C/Jordi Girona, 18, 08034 Barcelona, Spain$$

关键词: PM10;    Sources apportionment analysis;    Soil dust;    Volcanic dust;   

DOI  :  10.5094/APR.2011.046

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

The variability of levels and composition of PM₁₀ were investigated (October 2006 to May 2007) in a semi–rural classified site located in the central region of the state of Colima (Western Mexico), away from the direct influence of pollution sources. Mean PM₁₀ levels reached relatively high values (48 μg/m³), due mainly to enhanced loads of crustal material (15 μg/m³), carbonaceous aerosols (10 μg/m³) and sulfate (9 μg/m³). Dust resuspension, volcanic, industrial, agricultural, farming, and road traffic emissions, as well as regional pollution were identified as the main drivers of this variability. Furthermore, meteorological factors at local, regional and synoptic scales influenced such PM₁₀ variability. A differentiation was found between the cold period, with average PM₁₀ levels reaching 42 μg/m³, and the warm period, with 56 μg/m³. The first study period was characterized by high levels of SO₄⁻² (19 μg/m³) arising from both anthropogenic and volcanic emissions, whereas the second one is characterized by a high contribution from crustal material (22 μg/m³) from soil resuspension and volcanic ash. Principal component analysis (PCA) showed that the highest contribution to PM₁₀ levels arises from the regional pollution (49%), followed by the industrial emissions, fuel oil combustion, road traffic and secondary sulfate (18, 17, 10 and 6%, respectively). This shows a large anthropogenic load in rural background PM pollution, consequently, we propose to build an air quality monitoring network in rural and urban areas of this region.

【 授权许可】

Unknown   

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