Receptor Oriented Methods of Air Particulate Source Apportionment

Cooper, J.A.; Watson, John G.

doi:10.1080/00022470.1980.10465157

Cited by 163 publications

(83 citation statements)

References 30 publications

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“…The CMB model (Friedlander, 1973;Cooper and Watson, 1980;Watson, 1984;Watson et al, 1984;Gordon, 1988;Watson et al, 1990;Hidy and Venkataraman, 1996) consists of a solution to linear equations that express each receptor chemical concentration as a linear sum of products of source profile abundances and source contributions. Because the CMB model has a clear physical principle, this method has been developed to a mature stage and is generally used by many countries.…”

Section: Introductionmentioning

confidence: 99%

Chemical Mass Balance Source Apportionment of Size-Fractionated Particulate Matter in Nanjing, China

Chen

Wang

et al. 2015

Aerosol Air Qual. Res.

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In recent years, atmospheric particulate matter has become the primary air pollutant in Nanjing, China. In order to support a scientific basis for particles reduction, it is of great importance to investigate the contribution of different sources to particulate matter. In this paper, the characteristics of chemical composition of observational data for size-fractionated particulate matter at Gulou site and Pukou site in Nanjing from May 2010 to April 2011 were analyzed. Emission samples of particulate matter were collected and size-fractionated particulate chemical compositions were analyzed to obtain the source profiles. , respectively. The dominant chemical constituents are SO 4 2-, NO 3 -, Ca, NH 4 + , Cl -, Fe, Al, and K, accounting for 93.02% and 91.56% of all of the measured compositions in PM 10 at Gulou and Pukou. These components account for 95.23% and 93.48% of PM 2.1 at Gulou and Pukou. Seven types of sources, including coal combustion dust, construction dust, smelting dust, soil dust, vehicle exhaust, secondary aerosols and sea salt, are considered. The results of source apportionment show that in coarse particles, construction dust contributes a maximum of 58.9% at Gulou and 47.3% at Pukou. Smelting dust, as the second most important source, contributes 14.1% and 19.7% at these two sites. For fine particulate matter, secondary inorganic aerosols and coal dust contribution are the two largest sources accounting for 58.8% and 15.9% at Gulou and 44.2% and 39.5% at Pukou. The findings will be useful for the local government to create efficient control strategies to reduce the emission of construction dust and to pay great attention to the prevention of secondary aerosols and coal combustion dust.

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Section: Introductionmentioning

confidence: 99%

Chemical Mass Balance Source Apportionment of Size-Fractionated Particulate Matter in Nanjing, China

Chen

Wang

et al. 2015

Aerosol Air Qual. Res.

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“…이 있었다 Cooper and Watson, 1980). 이러한 한계성을 보완하기 위하여, 초기에는 단순히 분산모델의 보조 도구로서 수용모델이 개발 되었으나 이제는 대기오염모델 연구분야의 한 축을 담당하고 있다.…”

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Research Trends of Receptor Models in Korea and Foreign Countries and Improvement Directions for Air Quality Management

Hwang¹,

Kim²

2013

Journal of Korean Society for Atmospheric Environment

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“…Although similarities in the different chemical approaches are greater than their differences, they have been histor ieally divided into two categories: chemical mass balance methods, which attempt to define the most probable linear combination of sources to explain the chemical pattern on a single filter and multivariate methods, which deduce the source combination that will explain either the time or spatial variability in ambient chemical patterns. 1 …”

Section: Chemical Receptor Modeling: State Of the Artmentioning

confidence: 99%

“…• emission rates • stack parameters • activity • meteorology (1) where F^ is the fraction of the ith chemical species in emissions from the jth source. Eq.…”

Section: = £ Fijmjmentioning

confidence: 99%