Literature DB >> 18069456

Revised algorithm for estimating light extinction from IMPROVE particle speciation data.

Marc Pitchford1, William Maim, Bret Schichtel, Naresh Kumar, Douglas Lowenthal, Jenny Hand.   

Abstract

The Interagency Monitoring of Protected Visual Environments (IMPROVE) particle monitoring network consists of approximately 160 sites at which fine particulate matter (PM2.5) mass and major species concentrations and course particulate matter (PM10) mass concentrations are determined by analysis of 24-hr duration sampling conducted on a 1-day-in-3 schedule A simple algorithm to estimate light extinction from the measured species concentrations was incorporated in the 1999 Regional Haze Rule as the basis for the haze metric used to track haze trends. A revised algorithm was developed that is more consistent with the recent atmospheric aerosol literature and reduces bias for high and low light extinction extremes. The revised algorithm differs from the original algorithm in having a term for estimating sea salt light scattering from Cl(-) ion data, using 1.8 instead of 1.4 for the mean ratio of organic mass to measured organic carbon, using site-specific Rayleigh scattering based on site elevation and mean temperature, employing a split component extinction efficiency associated with large and small size mode sulfate, nitrate and organic mass species, and adding a term for nitrogen dioxide (NO2) absorption for sites with NO2 concentration information. Light scattering estimates using the original and the revised algorithms are compared with nephelometer measurements at 21 IMPROVE monitoring sites. The revised algorithm reduces the underprediction of high haze periods and the overprediction of low haze periods compared with the performance of the original algorithm. This is most apparent at the hazier monitoring sites in the eastern United States. For each site, the PM10 composition for days selected as the best 20% and the worst 20% haze condition days are nearly identical regardless of whether the basis of selection was light scattering from the original or revised algorithms, or from nephelometer-measured light scattering.

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Year:  2007        PMID: 18069456     DOI: 10.3155/1047-3289.57.11.1326

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


  12 in total

1.  Air pollutant source characterization using the revised regional haze tracking metric and a photochemical grid model and implications for regional haze planning.

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Journal:  J Air Waste Manag Assoc       Date:  2019-01-09       Impact factor: 2.235

2.  The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model.

Authors:  Luxi Zhou; Donna B Schwede; K Wyat Appel; Michael J Mangiante; David C Wong; Sergey L Napelenok; Pai-Yei Whung; Banglin Zhang
Journal:  Sci Total Environ       Date:  2018-09-17       Impact factor: 7.963

3.  Recommended metric for tracking visibility progress in the Regional Haze Rule.

Authors:  Brett Gantt; Melinda Beaver; Brian Timin; Phil Lorang
Journal:  J Air Waste Manag Assoc       Date:  2018-05       Impact factor: 2.235

4.  Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere.

Authors:  Junri Zhao; Golam Sarwar; Brett Gantt; Kristen Foley; Barron H Henderson; Havala O T Pye; Kathleen Fahey; Daiwen Kang; Rohit Mathur; Yan Zhang; Qinyi Li; Alfonso Saiz-Lopez
Journal:  Atmos Environ (1994)       Date:  2020-10-29       Impact factor: 4.798

5.  Changes in physical and chemical properties of urban atmospheric aerosols and ozone during the COVID-19 lockdown in a semi-arid region.

Authors:  Yi Chang; Tao Du; Xin Song; Wenfang Wang; Pengfei Tian; Xu Guan; Naiyue Zhang; Min Wang; Yumin Guo; Jinsen Shi; Lei Zhang
Journal:  Atmos Environ (1994)       Date:  2022-07-06       Impact factor: 5.755

6.  The impact of the direct effect of aerosols on meteorology and air quality using aerosol optical depth assimilation during the KORUS-AQ campaign.

Authors:  Jia Jung; Amir H Souri; David C Wong; Sojin Lee; Wonbae Jeon; Jhoon Kim; Yunsoo Choi
Journal:  J Geophys Res Atmos       Date:  2019       Impact factor: 4.261

7.  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

8.  Long-term trends in visibility and at Chengdu, China.

Authors:  Qiyuan Wang; Junji Cao; Jun Tao; Nan Li; Xiaoli Su; L W Antony Chen; Ping Wang; Zhenxing Shen; Suixin Liu; Wenting Dai
Journal:  PLoS One       Date:  2013-07-18       Impact factor: 3.240

9.  Characteristics of PM2.5 Chemical Compositions and Their Effect on Atmospheric Visibility in Urban Beijing, China during the Heating Season.

Authors:  Xing Li; Shanshan Li; Qiulin Xiong; Xingchuan Yang; Mengxi Qi; Wenji Zhao; Xinlong Wang
Journal:  Int J Environ Res Public Health       Date:  2018-09-04       Impact factor: 3.390

10.  Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China.

Authors:  Yali Lei; Zhenxing Shen; Zhuoyue Tang; Qian Zhang; Jian Sun; Yongjing Ma; Xiaoyan Wu; Yiming Qin; Hongmei Xu; Renjian Zhang
Journal:  PeerJ       Date:  2020-02-14       Impact factor: 2.984

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