Literature DB >> 24213708

Evaluation of filter-based aerosol measurements during the 1987 Southern California Air Quality Study.

J C Chow1, E M Fujita, J G Watson, Z Lu, D R Lawson, L L Ashbaugh.   

Abstract

The Southern California Air Quality Study (SCAQS) was conducted during the summer and fall of 1987 to assess the causes of elevated ozone and suspended particulate matter concentrations in California's South Coast Air Basin (SoCAB). Extensive gaseous (i.e. nitric acid, ammonia, sulfur dioxide) and particle (i.e. PM2.5 and PM10 mass, elements, ions, carbon) measurements were acquired for 11 days during the summer at nine locations, and six days during the fall at six locations. Outliers were identified so that they could be excluded from further statistical analyses. Carbon and elemental measurements were found to be negatively biased by ∼ 20% owing to inhomogenous aerosol deposits on the SCAQS filters and analysis methods which were applied to a portion of the filters. These biases seem relatively consistent, however, and should not affect conclusions drawn from data analysis efforts if they are appropriately considered. Significant fractions (30-60%) of ammonium nitrate volatilized during the summer when temperatures were higher. Less than 10% typically volatilized during the fall when temperatures were lower. Anion/cation balances support the accuracy and precision estimates of the nitrate, sulfate, and ammonium measurements. Coarse particle sulfate was generally low, while coarse particle nitrate was most pronounced at the coastal sites.This paper documents SCAQS filter-based aerosol measurement methods, and evaluates the accuracy, precision, and validity of the data set. Various comparisons were made for: (1) PM2.5/PM10 ratios for mass and major chemical species; (2) sum of chemical species versus measured mass; (3) sulfate versus sulfur ratios; (4) PM2.5 particulate nitrate versus nitric acid-denuded nitrate; and (5) anion/cation balances. The measurement and evaluation techniques presented in this paper serve as a guideline for other data analysis and modeling studies.

Entities:  

Year:  1994        PMID: 24213708     DOI: 10.1007/BF00546199

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Validation of the chemical mass balance receptor model applied to hydrocarbon source apportionment in the southern california air quality study.

Authors:  E M Fujita; J G Watson; J C Chow; Z Lu
Journal:  Environ Sci Technol       Date:  1994-09-01       Impact factor: 9.028

2.  ES Views: Jekyll Island meeting report: George Hidy reports on the acquisition of reliable atmospheric data.

Authors:  G Hidy
Journal:  Environ Sci Technol       Date:  1985-11-01       Impact factor: 9.028

3.  Absorption coefficient of atmospheric aerosol: a method for measurement.

Authors:  C I Lin; M Baker; R J Charlson
Journal:  Appl Opt       Date:  1973-06-01       Impact factor: 1.980

4.  Characteristics of atmospheric organic and elemental carbon particle concentrations in Los Angeles.

Authors:  H A Gray; G R Cass; J J Huntzicker; E K Heyerdahl; J A Rau
Journal:  Environ Sci Technol       Date:  1986-06       Impact factor: 9.028

  4 in total
  3 in total

1.  Characteristics of water-soluble inorganic ions in PM2.5 and PM 2.5-10 in the coastal urban agglomeration along the Western Taiwan Strait Region, China.

Authors:  Liqian Yin; Zhenchuan Niu; Xiaoqiu Chen; Jinsheng Chen; Fuwang Zhang; Lingling Xu
Journal:  Environ Sci Pollut Res Int       Date:  2014-01-03       Impact factor: 4.223

2.  Continuous and filter-based measurements of PM 2.5 nitrate and sulfate at the Fresno Supersite.

Authors:  Judith C Chow; John G Watson; Douglas H Lowenthal; Kihong Park; Prakash Doraiswamy; Ken Bowers; Richard Bode
Journal:  Environ Monit Assess       Date:  2007-10-12       Impact factor: 2.513

3.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

  3 in total

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