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Volume 39 Issue 2
Jul.  2021
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2021  >  39(2): 82-88
ZHAO Shan, GUO Xue-bin, YANG Xiao-fang, WANG Dong-sheng. RESEARCH ON VOLATILE SULFIDE (VSC) AND AMMONIA EMISSION LAW IN PROCESS OF MUNICIPAL SLUDGE COMPOSTING[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 82-88. doi: 10.13205/j.hjgc.202102013
Citation: ZHAO Shan, GUO Xue-bin, YANG Xiao-fang, WANG Dong-sheng. RESEARCH ON VOLATILE SULFIDE (VSC) AND AMMONIA EMISSION LAW IN PROCESS OF MUNICIPAL SLUDGE COMPOSTING[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 82-88. doi: 10.13205/j.hjgc.202102013
shu

RESEARCH ON VOLATILE SULFIDE (VSC) AND AMMONIA EMISSION LAW IN PROCESS OF MUNICIPAL SLUDGE COMPOSTING

doi: 10.13205/j.hjgc.202102013

  • 1. Beijing Drainage Group Co., Ltd, Research Center, Beijing 100124, China;

  • 2. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;

  • 3. University of Chinese Academy of Sciences, Beijing 100049, China

  • Received Date: 2019-12-11
    Available Online: 2021-07-19
    Abstract
  • The release law of malodorous gases (volatile sulfide (VSC) and ammonia) during municipal sludge composting was investiagted in this paper, by taking a municipal sludge composting plant in North China as the research object. The spatial distribution of VSC and ammonia in the sludge composting plant and the release law in the composting process were determined by Suma tank and static box collection and then gas chromatography. The results indicated that the main components in the composting process of sludge were ammonia, dimethyl sulfide and dimethyl disulfide, and the order of cumulative concentration in the static tank for 20 minutes was NH3>DMDS>DMS>CS2>MT>H2S. The average cumulative concentration of NH3 was 2.62~119.64 mg/m3, and the cumulative concentration of VSC was 1~2 orders of magnitude lower than that of NH3. Through this study, the types and contents of main gaseous pollutants in municipal sludge composting process were determined, which provided effective data support for engineering of odor treatment.
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    • References(22)
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