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天津市生活垃圾处理碳排放时间变化特征及影响因素

郭宇杰 龚亚萍 邹玉飞 赵颖 吕茳芏 张心怡

郭宇杰,龚亚萍,邹玉飞,等.天津市生活垃圾处理碳排放时间变化特征及影响因素[J].环境工程技术学报,2022,12(3):834-842 doi: 10.12153/j.issn.1674-991X.20210334
引用本文: 郭宇杰,龚亚萍,邹玉飞,等.天津市生活垃圾处理碳排放时间变化特征及影响因素[J].环境工程技术学报,2022,12(3):834-842 doi: 10.12153/j.issn.1674-991X.20210334
GUO Y J,GONG Y P,ZOU Y F,et al.Temporal variation characteristics and influencing factors of carbon emissions from municipal solid waste treatment in Tianjin[J].Journal of Environmental Engineering Technology,2022,12(3):834-842 doi: 10.12153/j.issn.1674-991X.20210334
Citation: GUO Y J,GONG Y P,ZOU Y F,et al.Temporal variation characteristics and influencing factors of carbon emissions from municipal solid waste treatment in Tianjin[J].Journal of Environmental Engineering Technology,2022,12(3):834-842 doi: 10.12153/j.issn.1674-991X.20210334

天津市生活垃圾处理碳排放时间变化特征及影响因素

doi: 10.12153/j.issn.1674-991X.20210334
基金项目: 国家重点研发计划项目(2019YFC1903901)
详细信息
    作者简介:

    郭宇杰(1973—),女,副教授,博士,主要从事污染物治理与资源化研究,guoyujie@ncwu.edu.cn

    通讯作者:

    赵颖(1981—),女,研究员,博士,主要从事固体废物环境影响、资源化利用及水处理技术研究,zhaoyhky@163.com

  • 中图分类号: X705

Temporal variation characteristics and influencing factors of carbon emissions from municipal solid waste treatment in Tianjin

  • 摘要:

    控制生活垃圾处理产生的温室气体已成为碳减排的重点方向之一。参考《省级温室气体清单编制指南(试行)》推荐方法核算了天津市2009—2018年生活垃圾处理碳排放量,分析碳排放时间变化特征,并采用改进Kaya恒等式和LMDI加和分解法的碳排放影响因素分解恒等式,分析天津市生活垃圾处理碳排放的影响因素。结果表明:2009—2018年天津市生活垃圾处理碳排放量呈现先降后增的趋势,碳排放量主要来自填埋处理;影响碳排放的因素中,经济产出效应(ΔY)对生活垃圾处理碳排放的驱动作用最大,碳排放强度效应(ΔCF)次之,生活垃圾排放强度效应(ΔWI)和生活垃圾处理结构强度(ΔWS)对碳排放具有负向作用。控制生活垃圾产生量、增加垃圾焚烧处理占比以及提高填埋场甲烷回收率是未来主要的减排方向。

     

  • 图  1  2009—2018年天津市生活垃圾处理量

    Figure  1.  MSW treatment in Tianjin from 2009 to 2018

    图  2  2009—2018年天津市生活垃圾处理碳排放各分解因素贡献值

    Figure  2.  Contribution value of each decomposition factor of carbon emissions from MSW treatment in Tianjin from 2009 to 2018

    图  3  生活垃圾处理碳排放量与生活垃圾排放强度变化趋势

    Figure  3.  Annual variation trend of carbon emissions and domestic waste emission intensity in MSW treatment

    图  4  天津市城市化率与生活垃圾产生量、高碳含量垃圾占比变化趋势

    Figure  4.  Annual trend of urbanization rate, domestic waste production and high carbon content waste proportion in Tianjin

    图  5  天津市碳排放量与人口数变化趋势

    Figure  5.  Trend of carbon emissions and population in Tianjin

    表  1  生活垃圾处理碳排放量核算数据来源

    Table  1.   Source of carbon emission accounting data for MSW treatment

    活动水平数据单位数据来源
    固体废物产生量万t/a《天津市固体废物污染防治公告》
    城市生活垃圾物理组成《天津市城市生活垃圾调查总结报告》
    固体废物填埋处理率%《天津市固体废物污染防治公告》
    甲烷回收量万t/a天津市城市管理委员会
    生活垃圾焚烧量万t/a《天津市固体废物污染防治公告》
    人口数《天津市统计年鉴》
    城市化率%《天津市统计年鉴》
    地区生产总值亿元《天津市统计年鉴》
    下载: 导出CSV

    表  2  2009—2018年天津市生活垃圾物理组成统计

    Table  2.   Statistics of physical composition of MSW in Tianjin from 2009 to 2018 %

    年份厨余类纸类橡塑类其他
    200960.3111.4914.9113.29
    201062.4011.3715.5110.72
    201161.4911.8116.789.92
    201262.2111.9315.3910.47
    201361.2712.7416.929.07
    201460.8213.0117.588.59
    201560.8013.6017.637.97
    201661.0613.7818.077.09
    201760.0914.2518.856.81
    201858.9414.0919.887.09
    注:数据来源于《天津市城市生活垃圾调查总结报告》。
    下载: 导出CSV

    表  3  2009—2018年天津市生活垃圾处理碳排放量

    Table  3.   Carbon emissions from MSW treatment in Tianjin from 2009 to 2018 万 t/a

    年份填埋处理
    (以CH4计)
    焚烧处理总碳排
    放量1)
    CO2
    放量
    CH4
    放量
    N2O排
    放量
    小计1)
    20094.542.420.001 320.000 462.5998.00
    20104.032.850.001 620.000 543.0587.74
    20113.933.620.002 020.000 693.8886.45
    20122.683.990.002 310.000 754.2860.59
    20133.524.280.002 380.000 824.5978.47
    20144.225.810.002 820.001 156.2294.94
    20154.776.230.003 130.001 226.68106.78
    20165.157.810.004 110.001 528.37116.55
    20177.957.970.004 160.001 558.54175.45
    20187.328.290.004 310.001 618.88162.57
      1)折合成CO2当量。
    下载: 导出CSV

    表  4  2009—2018年天津市生活垃圾处理碳排放各分解因素贡献率

    Table  4.   Contribution rate of each decomposition factor of carbon emissions from MSW treatment in Tianjin from 2009 to 2018 %

    年份ΔCFΔWSΔWIΔYΔUΔP
    2009—2010 96.60 89.88 86.52 −104.45 −17.67 −50.88
    2010—2011 −102.11 396.29 1200.12 −1031.66 −80.39 −282.25
    2011—2012 60.90 38.89 39.82 −24.06 −3.66 −11.90
    2012—2013 69.70 22.83 −34.70 24.19 2.15 15.83
    2013—2014 137.52 −73.07 −11.66 29.81 1.73 15.66
    2014—2015 44.00 2.10 10.89 22.58 3.71 16.73
    2015—2016 43.13 −37.08 4.44 74.34 4.01 11.15
    2016—2017 32.51 35.35 22.64 10.33 0.00 −0.82
    2017—2018 13.63 33.64 67.74 −9.24 −3.48 −2.30
    2009—2012 63.88 61.73 85.91 −73.24 −9.21 −29.07
    2012—2018 66.41 0.78 −5.50 26.36 1.96 9.99
    2009—2018 70.17 −58.46 −92.49 121.07 12.59 47.12
    下载: 导出CSV
  • [1] 潘玲阳, 叶红, 黄少鹏, 等.北京市生活垃圾处理的温室气体排放变化分析[J]. 环境科学与技术,2010,33(9):116-124.

    PAN L Y, YE H, HUANG S P, et al. Greenhouse gas emission from municipal solid waste treatment in Beijing[J]. Environmental Science & Technology,2010,33(9):116-124.
    [2] 马占云, 姜昱聪, 任佳雪, 等.生活垃圾无害化处理大气污染物排放清单[J]. 环境科学,2021,42(3):1333-1342.

    MA Z Y, JIANG Y C, REN J X, et al. Emission inventory of air pollutants for the harmless treatment of municipal solid waste[J]. Environmental Science,2021,42(3):1333-1342.
    [3] MARIA C, GÓIS J, LEITÃO A. Challenges and perspectives of greenhouse gases emissions from municipal solid waste management in Angola[J]. Energy Reports,2020,6:364-369.
    [4] MAGAZZINO C, MELE M, SCHNEIDER N. The relationship between municipal solid waste and greenhouse gas emissions: evidence from Switzerland[J]. Waste Management,2020,113:508-520. doi: 10.1016/j.wasman.2020.05.033
    [5] The Intergovernmental Panel on Climate Change. Good practice guidance and uncertainty management in national greenhouse gas inventories[R]. Bonn: IPCC, 2000.
    [6] 张婷, 俞志敏, 吴开亚. 城市居民生活垃圾填埋的碳排放变化分析: 以合肥市为例[J]. 中国人口·资源与环境, 2011, 21(增刊 2): 303-307.

    ZHANG T, YU Z M, WU K Y. Analysis on the change of carbon emission from municipal solid waste landfills in Hefei[J]. China Population, Resources and Environment, 2011, 21(Suppl 2): 303-307.
    [7] 王永中.碳达峰、碳中和目标与中国的新能源革命[J]. 人民论坛·学术前沿,2021(14):88-96.

    WANG Y Z. The targets of carbon peak and carbon neutralization and China's new energy revolution[J]. Frontiers,2021(14):88-96.
    [8] 张梅, 黄贤金, 揣小伟.中国城市碳排放核算及影响因素研究[J]. 生态经济,2019,35(9):13-19.

    ZHANG M, HUANG X J, CHUAI X W. Research on China's urban carbon emission accounting and influencing factors[J]. Ecological Economy,2019,35(9):13-19.
    [9] 韩立新, 逯达. 实现碳达峰、碳中和多维法治研究[J/OL]. 广西社会科学. [2021-08-10]. http://kns.cnki.net/kcms/detail/45.1185.C.20210805.1542.008.html.
    [10] 吴昊, 刘宏博, 田书磊, 等.1979—2016年中国城市生活垃圾产生和处理时空特征[J]. 环境工程技术学报,2021,11(10):1034-1040. doi: 10.3969/j.issn.1000-6923.2018.10.030

    WEI X X, WANG X M, LI L, et al. Temporal and spatial characteristics of municipal solid waste generation and treatment in China from 1979 to 2016[J]. China Environmental Science,2021,11(10):1034-1040. doi: 10.3969/j.issn.1000-6923.2018.10.030
    [11] 李文涛, 高庆先, 王立, 等.我国城市生活垃圾处理温室气体排放特征[J]. 环境科学研究,2015,28(7):1031-1038.

    LI W T, GAO Q X, WANG L, et al. Emission characteristics of greenhouse gases from municipal solid waste treatment in China[J]. Research of Environmental Sciences,2015,28(7):1031-1038.
    [12] 天津市统计局. 天津市2020年第七次全国人口普查主要数据公报(第1号)[A/OL].(2021-05-21) [2021-06-01]. http://stats.tj.gov.cn/tjsj_52032/tjgb/202105/t20210521_5457266.html/2021-05-21.
    [13] 国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2019.
    [14] 郑思伟, 唐伟, 徐海岚, 等.城市废弃物处理碳排放时空分布特征及影响因素研究: 以杭州市为例[J]. 绿色科技,2021,23(2):153-157. doi: 10.3969/j.issn.1674-9944.2021.02.054

    ZHENG S W, TANG W, XU H L, et al. Researchon the temporal-spatial distribution features and influencing factorsof carbon emission from municipal waste treatment: a case study of Hangzhou City[J]. Journal of Green Science and Technology,2021,23(2):153-157. doi: 10.3969/j.issn.1674-9944.2021.02.054
    [15] 谢鹏程, 王文军, 王文秀, 等.广州市生活垃圾处理的温室气体排放现状与预测[J]. 科技管理研究,2020,40(14):247-252. doi: 10.3969/j.issn.1000-7695.2020.14.030

    XIE P C, WANG W J, WANG W X, et al. Current status and forecasts of greenhouse gas emissions from urban domestic waste treatment of Guangzhou[J]. Science and Technology Management Research,2020,40(14):247-252. doi: 10.3969/j.issn.1000-7695.2020.14.030
    [16] SU B, ANG B W. Structural decomposition analysis applied to energy and emissions: some methodological developments[J]. Energy Economics,2012,34(1):177-188. doi: 10.1016/j.eneco.2011.10.009
    [17] ANG B W. Decomposition methodology in industrial energy demand analysis[J]. Energy,1995,20(11):1081-1095. doi: 10.1016/0360-5442(95)00068-R
    [18] EHRLICH P R, HOLDREN J P. Impact of population growth[J]. Science,1971,171:1212-1217. doi: 10.1126/science.171.3977.1212
    [19] WAGGONER P E, AUSUBEL J H. A framework for sustainability science: a renovated IPAT identity[J]. PNAS,2002,99(12):7860-7865. doi: 10.1073/pnas.122235999
    [20] KAYA Y. Impact of carbon dioxide emissions on GDP growth: interpretation of proposed scenarios[M]. Paris: Presentation to the Energy and Industy Subgroup, Response Strategies Working Group, IPCC, 1990: 152-157.
    [21] ANG B W, ZHANG F Q, CHOI K H. Factorizing changes in energy and environmental indicators through decomposition[J]. Energy,1998,23(6):489-495. doi: 10.1016/S0360-5442(98)00016-4
    [22] LEONTIEF W. Air pollution and the economic structure: empirical results of input-output computions[J]. Input-Output Techniques,1972,5:9-30.
    [23] YANG J E, CAI W, MA M D, et al. Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods[J]. Science of the Total Environment,2020,711:134569. doi: 10.1016/j.scitotenv.2019.134569
    [24] 赵由才, 赵天涛, 韩丹, 等.生活垃圾卫生填埋场甲烷减排与控制技术研究[J]. 环境污染与防治,2009,31(12):48-52. doi: 10.3969/j.issn.1001-3865.2009.12.025

    ZHAO Y C, ZHAO T T, HAN D, et al. Mitigation and control technology of methane emission in refuse landfills[J]. Environmental Pollution & Control,2009,31(12):48-52. doi: 10.3969/j.issn.1001-3865.2009.12.025
    [25] 李欢, 金宜英, 李洋洋.生活垃圾处理的碳排放和减排策略[J]. 中国环境科学,2011,31(2):259-264.

    LI H, JIN Y Y, LI Y Y. Carbon emission and its reduction strategies during municipal solid waste treatment[J]. China Environmental Science,2011,31(2):259-264.
    [26] 师晓琼, 赵先贵.温室气体排放动态变化及影响因素研究: 以河南省为例[J]. 陕西农业科学,2014,60(7):34-38. doi: 10.3969/j.issn.0488-5368.2014.07.010
    [27] 于洋, 崔胜辉, 林剑艺, 等.城市废弃物处理温室气体排放研究: 以厦门市为例[J]. 环境科学,2012,33(9):3288-3294.

    YU Y, CUI S H, LIN J Y, et al. Study on greenhouse gas emissions from urban waste disposal system: a case study in Xiamen[J]. Environmental Science,2012,33(9):3288-3294.
    [28] 刘俊蓉, 马占云, 张艳艳, 等.我国城市生活垃圾填埋处理CH4排放关键因子[J]. 环境科学研究,2014,27(9):975-980.

    LIU J R, MA Z Y, ZHANG Y Y, et al. Key methane emission factors from municipal solid waste landfill treatment in China[J]. Research of Environmental Sciences,2014,27(9):975-980.
    [29] 马占云, 李海玲, 岳波, 等.生活垃圾填埋场覆盖层温室气体CH4和CO2释放规律及其相关性研究[J]. 环境工程技术学报,2014,4(5):399-405. doi: 10.3969/j.issn.1674-991X.2014.05.064

    MA Z Y, LI H L, YUE B, et al. Study on emission characteristics and correlation of GHGs CH4 and CO2 in MSW landfill cover layer[J]. Journal of Environmental Engineering Technology,2014,4(5):399-405. doi: 10.3969/j.issn.1674-991X.2014.05.064
    [30] 袁路, 潘家华.Kaya恒等式的碳排放驱动因素分解及其政策含义的局限性[J]. 气候变化研究进展,2013,9(3):210-215.

    YUAN L, PAN J H. Disaggregation of carbon emission drivers in Kaya identity and its limitations with regard to policy implications[J]. Progressus Inquisitiones de Mutatione Climatis,2013,9(3):210-215.
    [31] 凌立文, 张大斌.广东省工业“三废”EKC曲线检验及影响因素研究: 基于Kaya恒等式与LMDI分解法[J]. 生态经济,2017,33(6):161-166.

    LING L W, ZHANG D B. Research on industrial waste EKC of Guangdong Province and influencing factors analysis: based on Kayaidentity and LMDI[J]. Ecological Economy,2017,33(6):161-166.
    [32] JIANG S, ZHU Y N, HE G H, et al. Factors influencing China's non-residential power consumption: estimation using the Kaya-LMDI methods[J]. Energy,2020,201:117719. doi: 10.1016/j.energy.2020.117719
    [33] RAUPACH M R, MARLAND G, CIAIS P, et al. Global and regional drivers of accelerating CO2 emissions[J]. Proceedings of the National Academy of Sciences of the United States of America,2007,104(24):10288-10293. doi: 10.1073/pnas.0700609104
    [34] 王育宝, 何宇鹏.城市废弃物处理温室气体排放的影响机制研究[J]. 西安交通大学学报(社会科学版),2018,38(1):60-70.

    WANG Y B, HE Y P. Study on greenhouse gas emission from urban waste disposal and influence mechanism[J]. Journal of Xi'an Jiaotong University (Social Sciences),2018,38(1):60-70.
    [35] 林成淼, 陈丽君, 吴洁珍.生活垃圾分类对固体废弃物和温室气体协同减排的影响研究: 以浙江省为例[J]. 环境与可持续发展,2021,46(1):90-94.

    LIN C M, CHEN L J, WU J Z. Research on the impact of domestic waste classification on synergistic emission reduction of solid waste and greenhouse gases: a case study of Zhejiang Province[J]. Environment and Sustainable Development,2021,46(1):90-94.
    [36] 张婷婷. 基于温室气体排放的城市生活垃圾处理策略优化研究[D]. 北京: 北京化工大学, 2020.
    [37] 唐伟, 郑思伟, 何平, 等.杭州市城市生活垃圾处理主要温室气体及VOCs排放特征[J]. 环境科学研究,2018,31(11):1883-1890.

    TANG W, ZHENG S W, HE P, et al. Characteristics of main greenhouse gas and VOCs emissions from municipal solid waste disposal in Hangzhou City[J]. Research of Environmental Sciences,2018,31(11):1883-1890.
    [38] CALABRÒ P S. Greenhouse gases emission from municipal waste management: the role of separate collection[J]. Waste Management,2009,29(7):2178-2187. doi: 10.1016/j.wasman.2009.02.011
    [39] KIRKEBY J T, BIRGISDOTTIR H, HANSEN T L, et al. Environmental assessment of solid waste systems and technologies: EASEWASTE[J]. Waste Management & Research:the Journal of the International Solid Wastes and Public Cleansing Association, ISWA,2006,24(1):3-15.
    [40] KIRKEBY J T, BIRGISDOTTIR H, HANSEN T L, et al. Evaluation of environmental impacts from municipal solid waste management in the municipality of Aarhus, Denmark (EASEWASTE)[J]. Waste Management & Research:the Journal of the International Solid Wastes and Public Cleansing Association, ISWA,2006,24(1):16-26.
    [41] WEITZ K A, THORNELOE S A, NISHTALA S R, et al. The impact of municipal solid waste management on greenhouse gas emissions in the United States[J]. Journal of the Air & Waste Management Association,2002,52(9):1000-1011.
    [42] WANG Z H, GENG L W. Carbon emissions calculation from municipal solid waste and the influencing factors analysis in China[J]. Journal of Cleaner Production,2015,104:177-184. doi: 10.1016/j.jclepro.2015.05.062
    [43] ANDREONI V, GALMARINI S. Drivers in CO2 emissions variation: a decomposition analysis for 33 world countries[J]. Energy,2016,103:27-37. doi: 10.1016/j.energy.2016.02.096
    [44] 郭运功. 特大城市温室气体排放量测算与排放特征分析: 以上海为例[D]. 上海: 华东师范大学, 2009.
    [45] 耿丽伟. 中国城市生活垃圾碳排放及其影响因素研究[D]. 北京: 北京理工大学, 2015.
    [46] 李诚报. 城市生活垃圾处理处置温室气体排放及其社会经济因素分析[D]. 长沙: 湖南大学, 2014.
    [47] MAI L N, RAN Q Y, WU H T. A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China[J]. Natural Resource Modeling,2020,33(4):e12284.
    [48] 孔令强, 田光进, 柳晓娟.中国城市生活固体垃圾排放时空特征[J]. 中国环境科学,2017,37(4):1408-1417. doi: 10.3969/j.issn.1000-6923.2017.04.027

    KONG L Q, TIAN G J, LIU X J. The spatio-temporal dynamic pattern of urban solid waste emission in China[J]. China Environmental Science,2017,37(4):1408-1417. ⊕ doi: 10.3969/j.issn.1000-6923.2017.04.027
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出版历程
  • 收稿日期:  2021-07-16
  • 网络出版日期:  2022-06-07

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