Characteristics of CO2 emission in sewage treatment plant with Biolak process

JIE  Qing-Jie; CHEN  Shi-Long; LI  Qing; LI  Hong-Xin; WANG  La

doi:10.3969/j.issn.1671-7775.2019.05.011

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Journal of Jiangsu University(Natural Science Edition) ›› 2019, Vol. 40 ›› Issue (5) : 566-572. DOI: 10.3969/j.issn.1671-7775.2019.05.011

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Characteristics of CO2 emission in sewage treatment plant with Biolak process

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Abstract

To realize the meticulous control of carbon emissions in the sewage treatment plant, based on the CO2 concentration monitoring data of Zhenjiang Dantu Wastewater Treatment Plant, the CO2 concentration distribution map of the study area was drawn with the analyses of spatial and temporal characteristics of CO2 concentration distribution as core. The CO2 changes in the wastewater treatment plant were compared longitudinally and spatially, and the effects of meteorological factors, process conditions and operating parameters on the CO2 concentration in each study area were analyzed. The results show that in the spatial distribution, the CO2 concentration of the process unit measurement points is higher than those of other areas in the plant, and the CO2 concentration of the biochemical pool is generally higher than other structures. The study area shows varying degrees of seasonality in the time distribution, and the local CO2 concentration in the sewage treatment plant is obviously affected by influent water quality, temperature and wind speed.

Key words

wastewater treatment plant / Biolak process / CO2 emission / GHG / carbon dioxide monitoring / carbon emission reduction

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JIE Qing-Jie, CHEN Shi-Long, LI Qing, et al. Characteristics of CO2 emission in sewage treatment plant with Biolak process[J]. Journal of Jiangsu University(Natural Science Edition), 2019, 40(5): 566-572 https://doi.org/10.3969/j.issn.1671-7775.2019.05.011

References

［1］BAO Z Y, SUN S C, SUN D Z. Characteristics of direct CO2 emissions in four fullscale wastewater treatment plants［J］. Desalination and Water Treatment, 2015, 54(4／5): 1070-1079.
［2］BAO Z Y, SUN S C, SUN D Z. Assessment of greenhouse gas emission from A／O and SBR wastewater treatment plants in Beijing, China［J］. International Biodeterioration ＆ Biodegradation, 2016, 108: 108-114.
［3］DELRE A, MΦNSTER J, SCHEUTZ C. Greenhouse gas emission quantification from wastewater treatment plants, using a tracer gas dispersion method［J］. Science of the Total Environment, 2017, 605／606: 258-268.
［4］MASUDA S, SANO I, HOJO T, et al. The comparison of greenhouse gas emissions in sewage treatment plants with different treatment processes［J］. Chemosphere, 2018, 193: 581-590.
［5］OSHITA K, OKUMURA T, TAKAOKA M, et al. Methane and nitrous oxide emissions following anaerobic digestion of sludge in Japanese sewage treatment facilities［J］. Bioresource Technology, 2014, 171: 175-181.
［6］胡大龙, 王罗春, 周振. 污水处理过程中的温室气体排放现状及展望［J］. 环境科学与技术, 2014,37 (3): 108-112.
HU D L, WANG L C, ZHOU Z. Status and prospects of greenhouse gas emissions in wastewater treatment［J］. Environmental Science ＆ Technology, 2014,37(3): 108-112. (in Chinese)
［7］闫旭, 邱德志, 郭东丽, 等. 中国城镇污水处理厂温室气体排放时空分布特征［J］. 环境科学, 2018, 39(3): 1256-1263.
YAN X, QIU D Z, GO D L, et al. Emission inventory of greenhouse gas from urban wastewater treatment plants and its temporal and spatial distribution in China［J］. Environmental Science, 2018, 39(3): 1256-1263. (in Chinese)
［8］PIIPPO S, LAURONEN M, POSTILA H. Greenhouse gas emissions from different sewage sludge treatment methods in north［J］. Journal of Cleaner Production, 2018, 177(3): 483-492.
［9］翟萌, 邵越, 徐福军. 西安污水处理厂温室气体排放及减排对策研究［J］. 环境工程, 2016(2): 23-26.
ZHAI M, SHAO Y, XU F J. Countermeasures on greenhouse gas emission reduction for the wastewater treatment plants of Xi′an［J］. Environmental Engineering, 2016(2): 23-26. (in Chinese)
［10］赵曦, 陈静. 基于ArcGIS和熵值法的四川省各市州耕地利用集约度时空差异研究［J］. 四川大学学报(自然科学版), 2018, 55(3): 625-631.
ZHAO X, CHEN J. The research of the cities′ tempspatial disparity of arable land use intensity in Sichuan province based on entropy and ArcGIS［J］. Journal of Sichuan University (Natural Science Edition), 2018, 55(3): 625-631. (in Chinese)
［11］万丽娟, 张毅, 程东祥, 等. 苏南地区常见公路绿化树种光合固碳特征研究［J］. 四川大学学报(自然科学版), 2018, 55(4): 881-888.
WAN L J, ZHANG Y, CHENG D X, et al. The photosynthetic carbon fixation characteristics of common tree species for highway greening in southern Jiangsu［J］. Journal of Sichuan University (Natural Science Edition),2018, 55(4): 881-888.(in Chinese)