Wen Xu;Kun Zheng;Lingmin Meng;学军 刘;Eberhard Hartung;Marco Roelcke;福锁 张
China Agricultural University;China Association for Science and Technology;Kiel University;Technical University of Braunschweig
发表时间:2016-1
期 刊:Aerosol and Air Quality Research
语 言:English
U R L: http://www.scopus.com/inward/record.url?scp=84952803076&partnerID=8YFLogxK
Particulate matter (PM) pollution from pig farms is of increasing environmental concern due to the rapid development of intensively managed pig farms worldwide. However, information on this topic is scarce in China to date. Therefore a two-year study to monitor the dynamics of total suspended particles (TSP) and particulate matter with diameter less than 10 μm (PM10) and their soluble ions was conducted at an industrial pig farm near Beijing. In total, two fattening pig houses were sampled during three fattening periods from 2010 to 2011. Daily mean indoor TSP and PM10 concentrations were 1.85 and 0.63 mg m–3 on average. The emissions of PM per livestock unit (LU unit =500 kg), and per unit area (m2) from the pig house averaged 467.5 mg h–1 LU–1 and 38.6 mg h–1 m–2 for TSP, while those for PM10 averaged 256.7 mg h–1 LU–1 and 16.8 mg h–1 m–2, respectively. Particulate NH4 + in both TSP and PM10 showed significant positive correlations with particulate NO3 – and SO42– inside and outside the pig houses. Daily mean indoor concentrations of secondary inorganic aerosol (sum of NH4 +, NO3 – and SO42–) ranged from 10.8 to 368.8 μg m–3 (average 116 μg m–3) in TSP and from 5.1 to 220.1 μg m–3 (average 58.6 μg m–3) in PM10. Contributions of secondary inorganic PM to TSP and PM10 emissions varied from 0.3 to 50.8% and from 1.0 to 48.7%, respectively, with averages of 12.0 and 13.9%. Our results suggest elevated PM and secondary inorganic PM concentrations and substantial emissions of PM from the fattening pig houses in China.
化合物
地球与环境科学
工程与材料科学
Scopus度量
年份 | CiteScore | SJR | SNIP |
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1998 | |||
1999 | |||
2000 | |||
2001 | |||
2002 | |||
2003 | |||
2004 | |||
2005 | |||
2006 | |||
2007 | |||
2008 | |||
2009 | 0.366 | 0.591 | |
2010 | 0.635 | 0.901 | |
2011 | 2.9 | 0.852 | 1.189 |
2012 | 3.6 | 1.05 | 1.388 |
2013 | 4.1 | 1.014 | 1.362 |
2014 | 3.7 | 0.86 | 1.145 |
2015 | 3.9 | 1.002 | 1.143 |
2016 | 4.1 | 0.95 | 1.156 |
2017 | 4.4 | 0.928 | 0.907 |
2018 | 4.8 | 0.904 | 0.964 |
2019 | 5.4 | 0.965 | 0.966 |
2020 | 5.5 |
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