气候变化研究进展 ›› 2021, Vol. 17 ›› Issue (4): 410-419.doi: 10.12006/j.issn.1673-1719.2021.026

• 减污降碳协同增效专栏 • 上一篇    下一篇

碳中和愿景下的污水处理厂温室气体排放情景模拟研究

任佳雪1,2(), 高庆先2, 陈海涛1, 孟丹1, 张阳3, 马占云2(), 刘倩2, 唐甲洁4   

  1. 1 首都师范大学资源环境与旅游学院,北京 100048
    2 中国环境科学研究院,北京 100012
    3 大连市生态环境事务服务中心,大连 116000
    4 兰州中心气象台,兰州 730000
  • 收稿日期:2021-02-20 修回日期:2021-04-17 出版日期:2021-07-30 发布日期:2021-08-11
  • 通讯作者: 马占云
  • 作者简介:任佳雪,女,硕士研究生, 759708127@qq.com
  • 基金资助:
    “碳排放达峰行动”项目编码(14404200000020Z001);国家重点研发计划项目(2018YFC1507701);环境保护政策、法规、规划及标准项(144026000000190006);美国环保协会项目(2019-434)

Simulation research on greenhouse gas emissions from wastewater treatment plants under the vision of carbon neutrality

REN Jia-Xue1,2(), GAO Qing-Xian2, CHEN Hai-Tao1, MENG Dan1, ZHANG Yang3, MA Zhan-Yun2(), LIU Qian2, TANG Jia-Jie4   

  1. 1 Department of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    2 Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    3 Dalian Ecological and Environmental Affairs Service Center, Dalian 116000, China
    4 Lanzhou Central Meteorological Observatory, Lanzhou 730000, China
  • Received:2021-02-20 Revised:2021-04-17 Online:2021-07-30 Published:2021-08-11
  • Contact: MA Zhan-Yun

摘要:

污水处理厂运行过程中大量释放甲烷(CH4)和氧化亚氮(N2O),是重要的人为温室气体排放源。基于2005—2015年统计资料和IPCC核算方法,估算了2005—2015年中国生活污水处理厂CH4和N2O排放,分析了其排放特征和影响因素;依据碳中和愿景设定3种减排情景(低减排、中减排和高减排),并预估了2020—2050年排放趋势和时空变化。结果表明:2005—2015年间污水处理厂温室气体排放量呈稳定增长趋势,CH4从1135.37万t CO2e上升至1501.45万t CO2e,N2O从2651.08万t CO2e上升为2787.05万t CO2e,年均增速分别为2.8%和0.5%。3种减排情景下,2020—2050年CH4和N2O排放量时间上呈先增后减趋势,低减排情景下CH4和N2O排放量分别于2036年和2025年达到峰值,分别为2431万和2819万t CO2e;中减排情景和高减排情景下CH4峰值点分别出现在2027和2025年,而N2O排放峰值均出现在2025年。2050年中减排和高减排情景下CH4排放量相较于低减排情景减排率约为47%和94%;2050年低减排、中减排和高减排情景下N2O排放量相较于2015年分别减排了12%、53%和95%。CH4和N2O排放量在空间上差异显著,华东地区排放量高,西北地区排放量低,东南区域所在省份排放量整体高于西北区域省份。影响因素中的经济发展程度与温室气体排放量密切相关。

关键词: 污水处理厂, 排放情景, 碳中和, 温室气体

Abstract:

Large amounts of methane (CH4) and nitrous oxide (N2O) are released during the operation of sewage treatment plants, which are important sources of man-made greenhouse gas emissions. Based on 2005-2015 statistical data and IPCC accounting methods, the CH4 and N2O emissions from domestic sewage treatment plants in China from 2005 to 2015 were estimated, characteristics and influencing factors were analyzed. Three emission reduction scenarios (low emission reduction, medium emission reduction and high emission reduction) were set based on the carbon neutral background, and emission trends and temporal and spatial changes from 2020 to 2050 were estimated. The results showed that the greenhouse gas emissions of sewage treatment plants increased steadily from 2005 to 2015. CH4 increased from 11.35 Mt CO2e to 15.01 Mt CO2e, and N2O increased from 26.51 Mt CO2e to 27.87 Mt CO2e, the average annual growth rate was 2.8% and 0.5%, respectively. Under the three emission reduction scenarios, CH4 and N2O emissions from 2020 to 2050 show a trend of increase first and then decrease, and CH4 and N2O emissions under the low emission reduction scenario will peak in 2036 and 2025, respectively, with 24.31 Mt CO2e and 28.19 Mt CO2e; CH4 peaks in the medium and high emission reduction scenarios will occur in 2027 and 2025, respectively, while the peak N2O emissions will both occur in 2025. Compared with the low emission reduction scenario, the respective emission reduction rates of CH4 emissions under the medium and high emission reduction scenarios are about 47% and 94% in 2050. N2O emissions under the low, medium and high emission reduction scenarios in 2050 will be reduced by 12%, 53% and 95% respectively compared with 2015. There are significantly spatial differences in the emissions of CH4 and N2O. East China has the highest emissions and Northwest China has the lowest ones. The overall emission pattern is that the provinces in the southeast are higher than those in the northwest. Among the influencing factors, the level of economic development is closely related to greenhouse gas emissions.

Key words: Wastewater treatment plant, Emission scenarios, Carbon neutrality, Greenhouse gases

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