2017 Volume 11 Issue 9
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LIN Weiyan, CAO Wenjie, MA Junying, DENG Wenye, ZHU Jie. Main pollutant contributions of different industries in Zhundong economic development area of Xinjiang, China[J]. Chinese Journal of Environmental Engineering, 2017, 11(9): 5159-5165. doi: 10.12030/j.cjee.201610209
Citation: LIN Weiyan, CAO Wenjie, MA Junying, DENG Wenye, ZHU Jie. Main pollutant contributions of different industries in Zhundong economic development area of Xinjiang, China[J]. Chinese Journal of Environmental Engineering, 2017, 11(9): 5159-5165. doi: 10.12030/j.cjee.201610209
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Main pollutant contributions of different industries in Zhundong economic development area of Xinjiang, China

  • 1.

    Xinjiang Key Laboratory for Environmental Pollution Monitoring and Risk Warning, Xinjiang Academy of Environmental Protection Science, Urumqi 830011, China

  • 2.

    Xinjiang Boyan Water Resources and Hydropower Environmental Technology Co. Ltd., Urumqi 830011, China

  • Received Date: 13/03/2017
    Accepted Date: 31/10/2016
    Available Online: 26/08/2017
    Fund Project:
  • SO2 pollution contributions of whole industries and different industries in Zhundong economic development area were investigated by air-quality model MM5-CALPUFF, in which 2014 and 2020 were selected as typical years, and the industries were classified into four categories. The results showed that SO2 concentration would increase by 2 to 8 times than 2014 after the whole planning enterprises putting into operation in 2020, and in the areas such as Qitai county, Laojun temple, Silicified wood points et al., the SO2 concentration increasing multiples were bigger. The descending order of contribution rates was electrolytic aluminum sector, power sector, chemical industry, coal mining industry in 2014, and the ranges of contribution rates were 50% to 85%, 6% to 29%, 3% to 23%, 1% to 21%,respectively. The descending order in 2020 would be the same as in 2014, but the contribution rates would change, and the ranges of contribution rates were 47% to 83%,12% to 41%, < 10%, < 10%,respectively. The development area planned to establish coal and electricity base, and develop power enterprises, therefore, the contribution rate of power industry would rise in 2020.
  • [1] 颜鹏, 黄健, DRAXLER R. 北京地区SO2污染的长期模拟及不同类型排放源影响的计算与评估[J]. 中国科学(地球科学), 2005, 35(S1):167-176

    Google Scholar Pub Med

    [2] 唐孝炎, 张远航, 邵敏. 大气环境化学[M]. 北京:高等教育出版社, 2006

    Google Scholar Pub Med

    [3] KAJINO M, UEDA H, SATO K, et al. Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia[J]. Atmospheric Chemistry and Physics, 2011, 11(13):6475-6491

    Google Scholar Pub Med

    [4] 陈璐,周阳,姚立英,等.天津市各区县PM2.5污染工业行业贡献构成分析[J]. 中国环境科学,2015,35(1):33-39

    Google Scholar Pub Med

    [5] HAO J M, WANG L T, SHEN M J, et al. Air quality impacts of power plant emissions in Beijing[J]. Environmental Pollution, 2007,147(2):401-408

    Google Scholar Pub Med

    [6] 黄青,程水源,陈东升,等.北京市一次SO2污染过程来源分析[J].环境科学与技术,2010,33(1):89-93

    Google Scholar Pub Med

    [7] 王淑兰,柴发合,夏广锋,等. 深圳市SO2污染来源及其特征分析[J].环境科学研究,2009,22(10):1128-1133

    Google Scholar Pub Med

    [8] STREETS D G, FU J S, JANG C J, et al. Air quality during the 2008 Beijing Olympic Games[J]. Atmospheric Environment,2007, 41(3):480-492

    Google Scholar Pub Med

    [9] 王志铭, 王雪梅, 李伟铿,等. 珠三角SO2污染区划及来源的定量研究[J].环境科学与技术,2012,35(1):139-145

    Google Scholar Pub Med

    [10] 孟晓艳,王普才,王庚辰,等.北京及其周边地区冬季SO2的变化与输送特征[J]. 气候与环境研究,2009,14(3):309-317

    Google Scholar Pub Med

    [11] 张莉,周晶,刘俊.准东煤电煤化工开发建设中的生态环境问题探讨[J].新疆环境保护,2013,35(3):47-50

    Google Scholar Pub Med

    [12] 靳杰,准东经济技术开发区大气污染模拟研究[D].乌鲁木齐:新疆农业大学,2015

    Google Scholar Pub Med

    [13] DUDHIA J, GILl D, MANNING K. et al. PSU/NCAR mesoscale modeling system tutorial class notes and user's guide:MM5 modeling system version 3[Z]. National Center for Atmospheric Research, 2004

    Google Scholar Pub Med

    [14] 姜创业,孙娴,徐军昶.MM5/CALMET数值模拟在陕北风能资源评估中的应用[J].中国沙漠,2011,31(6):1606-1610

    Google Scholar Pub Med

    [15] 张金善,钟中,黄瑾.中尺度大气模式MM5简介[J].海洋预报,2005,22(1):31-40

    Google Scholar Pub Med

    [16] 李文慧,陈洁,张亚娟,等.关中二氧化硫污染特征及城市间相互影响分析[J].环境科学与技术,2015,38(5):195-200

    Google Scholar Pub Med

    [17] SCIRE J S, STRIMAITIS D G, YAMARTINO R J. A user's guide for the CALPUFF dispersion model[J]. Journal of Non-Newtonian Fluid Mechanics, 2000, 223:257-257

    Google Scholar Pub Med

    [18] GILLIAM R C, HUBER A H, RAMAN S. Metropolitan-scale transport and dispersion from the New York World Trade Center following September 11, 2001.Part Ⅱ:An application of the CALPUFF plume model[J]. Pure and Applied Geophysics, 2005, 162(10):2005-2028

    Google Scholar Pub Med

    [19] 伯鑫,丁峰,徐鹤,等.大气扩散CALPUFF模型技术综述[J]. 环境监测管理与技术,2009,21(3):9-13

    Google Scholar Pub Med

    [20] INDUMATI S, OZA R B, MAYYA Y S, et al. Dispersion of pollutants over land-water-land interface:Study using CALPUFF model[J]. Atmospheric Environment, 2009, 43(2):473-478

    Google Scholar Pub Med

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Main pollutant contributions of different industries in Zhundong economic development area of Xinjiang, China

  • Received Date: 13/03/2017
  • Accepted Date: 31/10/2016
  • Available Online: 26/08/2017
Fund Project:

Abstract: SO2 pollution contributions of whole industries and different industries in Zhundong economic development area were investigated by air-quality model MM5-CALPUFF, in which 2014 and 2020 were selected as typical years, and the industries were classified into four categories. The results showed that SO2 concentration would increase by 2 to 8 times than 2014 after the whole planning enterprises putting into operation in 2020, and in the areas such as Qitai county, Laojun temple, Silicified wood points et al., the SO2 concentration increasing multiples were bigger. The descending order of contribution rates was electrolytic aluminum sector, power sector, chemical industry, coal mining industry in 2014, and the ranges of contribution rates were 50% to 85%, 6% to 29%, 3% to 23%, 1% to 21%,respectively. The descending order in 2020 would be the same as in 2014, but the contribution rates would change, and the ranges of contribution rates were 47% to 83%,12% to 41%, < 10%, < 10%,respectively. The development area planned to establish coal and electricity base, and develop power enterprises, therefore, the contribution rate of power industry would rise in 2020.

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