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山东大学学报 (工学版) ›› 2026, Vol. 56 ›› Issue (2): 181-188.doi: 10.6040/j.issn.1672-3961.0.2024.298

• 环境工程 • 上一篇    下一篇

污水处理厂与垃圾焚烧发电厂固定污染源温室气体手工监测与自动监测比对

刘铁东1,林娜1,谢婷婷1,冷亚玲1,姚婷婷1,马志同1,赵红霞2*   

  1. 1.深圳市计量质量检测研究院, 广东 深圳 518107;2.山东大学核科学与能源动力学院, 山东 济南 250061
  • 出版日期:2026-04-20 发布日期:2026-04-13
  • 作者简介:刘铁东(1971— ),男,陕西西安人,主要研究方向为检测与认证. E-mail:liutiedong71@163.com. *通信作者简介:赵红霞(1977— ),女,山东郓城人,教授,硕士生导师,博士,主要研究方向为空调热泵、喷射器、能源系统优化、海水淡化、氢能等. E-mail:hongxia.zhao@sdu.edu.cn
  • 基金资助:
    深圳市碳计量公共服务平台组建基金资助项目(XMHT20230108020);广东省市场监督管理局科技项目(2024CC04)

Comparison on manual and automatic monitoring of greenhouse gases from fixed pollution sources in sewage treatment plants and waste incineration power plants

LIU Tiedong1, LIN Na1, XIE Tingting1, LENG Yaling1, YAO Tingting1, MA Zhitong1, ZHAO Hongxia2*   

  1. LIU Tiedong1, LIN Na1, XIE Tingting1, LENG Yaling1, YAO Tingting1, MA Zhitong1, ZHAO Hongxia2*(1. Shenzhen Academy of Metrology and Quality Inspection, Shenzhen 518107, Guangdong, China;
    2. School of Nuclear Science, Energy and Power Engineering, Shangdong University, Jinan 250061, Shangdong, China
  • Online:2026-04-20 Published:2026-04-13

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摘要： 为解决污水处理厂及生活垃圾焚烧发电厂等行业温室气体排放的监测难题,打破监测设备性能指标的国外依赖性,建立针对N2O与CH4监测设备的量值溯源体系,本研究通过手工监测和便携设备测量2种方式,分析N2O和CH4排放质量浓度监测结果的差异。结果显示,对于污水处理厂典型场景下的3个不同点位,手工监测和便携设备测量的N2O平均质量浓度差分别为8.66、12.20、0.75 mg/m3,CH4平均质量浓度差分别为45.74、64.30、214.82 mg/m3,2种测量结果差异性较大。在电厂典型场景下,手工监测与在线监测数据差异较小,与便携设备测量结果差异较大。造成差异的主要原因为便携设备易受温湿度及气体之间的相互干扰。后续应加强便携设备在水汽、高温、高湿及多种气体共存方面的研究,提高便携设备测试精准度。总的来说,手工监测更为精准可靠。

关键词: 污水处理及发电行业, 温室气体, 质量浓度, 手工监测, 便携设备

Abstract: In order to solve the monitoring difficulties of greenhouse gas emissions in industries such as sewage treatment plants and municipal waste incineration power plants, break the dependence of monitoring equipment performance indicators on foreign countries, and establish a traceability system for N2O and CH4 monitoring equipment, by manual monitoring and portable device, this article analyzed the differences in mass concentration of N2O and CH4 emissions through two methods: manual monitoring and portable device measurements. Results showed that, at three different locations in a typical wastewater treatment plant scenario, the differences in average mass concentrations were 8.66, 12.20, 0.75 mg/m3 for N2O, respectively, and 45.74, 64.30, 214.82 mg/m3 for CH4 respectively. The two measurement methods showed significant discrepancies. In typical scenarios of power plants, manual monitoring data showed little difference from that of online monitoring, but significant to portable device measurements, which was mainly due to the portable device being susceptible to temperature, humidity and mutual interference between different gases. Research on portable devices in terms of water vapor, high temperature, high humidity, and the coexistence of multiple gases should be strengthened to improve the accuracy of portable devices. Generally, manual monitoring was more accurate and reliable compared to other methods.

Key words: sewage treatment and power generation industry, greenhouse gases, mass concentration, manual monitoring, portable devices

中图分类号: 

  • X703
[1] CZEPIEL P M, CRILL P M, HARRISS R C. Methane emissions from municipal wastewater treatment processes[J]. Environmental Science & Technology, 1993, 27(12): 2472-2477.
[2] HROUB H, RAHBEH M, ZOUBI M M, et al. Projection of future temperature variations in river basins under climate change scenarios using general circulation models[J]. Global Journal of Environmental Science & Management(GJESM), 2025, 11(2): 403-426.
[3] BANI SHAHABADI M, YERUSHALMI L, HAGHIGHAT F. Impact of process design on greenhouse gas(GHG)generation by wastewater treatment plants[J]. Water Research, 2009, 43(10): 2679-2687.
[4] HE X X, LI Z, XING C Y, et al. Carbon footprint of a conventional wastewater treatment plant: an analysis of water-energy nexus from life cycle perspective for emission reduction[J]. Journal of Cleaner Production, 2023, 429, 139562.
[5] HUA H, JIANG S Y, YUAN Z W, et al. Advancing greenhouse gas emission factors for municipal wastewater treatment plants in China[J]. Environmental Pollution, 2022, 295: 118648.
[6] QADIR M, DRECHSEL P, JIMÉNEZ CISNEROS B, et al. Global and regional potential of wastewater as a water, nutrient and energy source[J]. Natural Resources Forum, 2020, 44(1): 40-51.
[7] 杨国栋, 颜枫, 王鹏举, 等. 生活垃圾处理的低碳化研究进展[J]. 环境工程学报, 2022, 16(3): 714-722. YANG Guodong, YAN Feng, WANG Pengju, et al. Research progress on low carbonization of municipal solid waste treatment[J]. Chinese Journal of Environmental Engineering, 2022, 16(3): 714-722.
[8] 张晨怡, 董会娟, 耿涌. 中国城市生活垃圾处理碳排放时空分布特征及减排潜力[J]. 中国人口资源与环境, 2024, 34(4): 23-35. ZHANG Chenyi, DONG Huijuan, GENG Yong. Spatio-temporal distribution characteristics and reduction potentials of China's MSW-related GHG emissions[J]. China Population, Resources and Environment, 2024, 34(4): 23-35.
[9] 耿晔, 武洋洋, 赵腾. 固定源排放温室气体监测技术现状与发展建议[J]. 环境与发展, 2022, 34(8): 58-62. GENG Ye, WU Yangyang, ZHAO Teng. Current status and development suggestions of greenhouse gas monitoring technology for stationary source emissions[J]. Environmental and Development, 2022, 34(8): 58-62.
[10] GUIGUES N, UYSAL E, RAVEAU S, et al. Insights on the validation of alternative tools for water quality monitoring: the case of on-site test kits, portable devices and continuous measuring devices[J]. Accreditation and Quality Assurance, 2024, 29(2): 163-173.
[11] 邹冰妍. 烟道内二氧化碳浓度的激光测量方法研究[D]. 镇江: 江苏大学, 2018. ZOU Bingyan. Research on laser spectral measurement method of carbon dioxide concentration in flue[D]. Zhenjiang: Jiangsu University, 2018.
[12] 路兴杰, 朱永宏, 闫继伟, 等. 红外光谱法测定工业烟气中二氧化碳浓度的测量系统构建与测量不确定度分析评定[J]. 工业计量, 2017, 27(6): 48-52.
[13] 中华人民共和国生态环境部. 碳监测评估试点方案[EB/OL].(2021-09-12)[2025-11-28]. http://www.tanjiaoyi.com/ets-11664
[14] 中华人民共和国生态环境部. 固定污染源废气 总烃、甲烷和非甲烷总烃的测定气相色谱法: HJ38—2017[S]. 北京: 中国环境出版社, 2017.
[15] 丁晴晴,赵新坤.气相色谱法分析大气中微量的氧化亚 氮[J]. 分析仪器, 2021(3): 56-61. DING Qingqing, ZHAO Xinkun. Analysis of trace nitrous oxide in air by gas chromatography with electron capture detector[J]. Analytical Instrumentation, 2021(3): 56-61.
[16] 中华人民共和国生态环境部. 固定污染源烟气(SO2、NOx、颗粒物)排放连续监测技术规范: HJ75—2017[S]. 北京: 中国环境出版社, 2017.
[17] QI W K, SONG Y, PENG Y Z, et al. Greenhouse gas emissions from a sewage contact oxidation emergency treatment plant after destruction by an earthquake and tsunami[J]. Science of the Total Environment, 2019, 687: 634-641.
[18] 魏小华, 常乐, 崔耀, 等. 固定污染源非甲烷总烃手工监测与连续在线监测差异研究[J]. 环境科学与管理, 2023, 48(6): 116-120 WEI Xiaohua, CHANG Le, CUI Yao, et al. Difference between online and manual monitoring of non methane total hydrocarbon for fixed pollution sources[J]. Environmental Science and Management, 2023, 48(6): 116-120.
[19] 叶兵, 侯鹏, 吴厚荣, 等. 便携式干法烟气预处理装置除水效率分析[J]. 环境监控与预警, 2022, 14(3): 59-62. YE Bing, HOU Peng, WU Hourong, et al. Analysis on water removal efficiency of protable dry flue gas pretreatment device[J]. Environmental Monitoring and Forewarning, 2022, 14(3): 59-62.
[20] 姚顺春, 支嘉琦, 付金杯, 等. 火电企业碳排放在线监测技术研究进展[J]. 华南理工大学学报(自然科学版), 2023, 51(6): 97-108. YAO Shunchun, ZHI Jiaqi, FU Jinbei, et al. Research progress of online carbon emission monitoring technology for thermal power enterprises[J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(6): 97-108.
[21] FANG S X, ZHOU L X, MASARIE K A, et al. Study of atmospheric CH4 mole fractions at three WMO/GAW stations in China[J]. Journal of Geophysical Research:Atmospheres, 2013, 118(10): 4874-4886.
[22] CHEN H, WINDERLICH J, GERBIG C, et al. High-accuracy continuous airborne measurements of greenhouse gases(CO2 and CH4)using the cavity ring-down spectroscopy(CRDS)technique[J]. Atmospheric Measurement Techniques, 2010, 3(2): 375-386.
[23] ZELLWEGER C, EMMENEGGER L, FIRDAUS M, et al. Assessment of recent advances in measurement techniques for atmospheric carbon dioxide and methane observations[J]. Atmospheric Measurement Techniques, 2016, 9(9): 4737-4757.
[24] MORGAN E J, LAVRIC J V, SEIFERT T, et al. Continuous measurements of greenhouse gases and atmospheric oxygen at the Namib Desert Atmospheric Observatory [J]. Atmospheric Measurement Techniques Discussions, 2015, 8(6): 2233-2250.
[25] ROTHMAN L S, GORDON I E, BARBER R J, et al. HITEMP, the high-temperature molecular spectroscopic database[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2010, 111(15): 2139-2150.
[26] 闫旭, 韩云平, 李琦路, 等. 污水处理过程中温室气体产生研究进展[J]. 环境化学, 2015, 34(5): 853-862. YAN Xu, HAN Yunping, LI Qilu, et al. Greenhouse gas emission during wastewater treatment processes[J]. Environmental Chemistry, 2015, 34(5): 853-862.
[27] MASUDA S, SUZUKI S, SANO I, et al. The seasonal variation of emission of greenhouse gases from a full-scale sewage treatment plant[J]. Chemosphere, 2015, 140: 167-173.
[28] 耿晔, 张文帅, 闫学军, 等. 济南市固定污染源CO2在线监测系统比对监测解析[J]. 环境科技, 2023, 36(4): 58-63. GENG Ye, ZHANG Wenshuai, YAN Xuejun, et al. Comparison and analysis of carbon dioxide online monitoring system for stationary pollution sources in Jinan City[J]. Environmental Science and Technology, 2023, 36(4): 58-63.
[29] 方静. 烟气分析仪中电化学气体传感器的使用与维护[J]. 工业计量, 2006, 16(1): 30-31.
[30] 郭杰, 张涵, 于志伟, 等. 基于傅里叶变换红外光谱技术垃圾焚烧烟气在线监测[J]. 中国仪器仪表, 2018(5): 63-66. GUO Jie, ZHANG Han, YU Zhiwei, et al. On-line monitoring of waste incineration flue gas based on Fourier transform infrared spectroscopy[J]. China Instrumentation, 2018(5): 63-66.
[31] 郭刚, 王亚宜, 张兆祥, 等. 气相色谱法测定污水处理产生的氧化亚氮的分析方法研究[J]. 分析测试学报, 2011, 30(9): 1050-1054. GUO Gang, WANG Yayi, ZHANG Zhaoxiang, et al. A gas chromatographic method for determination of nitrous oxide in wastewater treatment[J]. Journal of Instrumental Analysis, 2011, 30(9): 1050-1054.
[32] 张曦丹. 燃煤电厂SO2、NOx超低排放监测仪器关键技术研究[D]. 南京: 南京信息工程大学, 2018: 1-84. ZHNAG Xidan. Research on key technologies of ultra-low emission concentration monitoring instrument for SO2 and NOx in coal-fired power plants[D]. Nanjing: Nanjing University of Information Science and Tech-nology, 2018: 1-84.
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