基于月数据的上海典型给水厂碳排放特征与影响因素分析

李成; 陆彬斌; 易欣源; 邵雪红; 徐斌; 唐玉霖

doi:10.13205/j.hjgc.202411014

基于月数据的上海典型给水厂碳排放特征与影响因素分析

doi: 10.13205/j.hjgc.202411014

1. 同济大学环境科学与工程学院水利部长三角城镇供水节水与水环境治理重点实验室, 上海 200092;
2. 上海奉贤自来水有限公司, 上海 201400

基金项目:

国家重点研发计划项目(2023YFC38047004)

详细信息

作者简介:
李成(2001-),男,硕士研究生在读,主要研究方向为给水厂碳排放核算与碳减排技术。andylclc@foxmail.com

通讯作者:
唐玉霖(1977-),男,教授,主要研究方向为城镇供水、节水与低碳运维研究。tangtongji@126.com

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出版历程
- 收稿日期: 2024-07-15
- 网络出版日期: 2025-01-16

CARBON EMISSION CHARACTERISTICS AND INFLUENCING FACTORS OF TYPICAL WATER SUPPLY PLANTS IN SHANGHAI BASED ON MONTHLY DATA

1. Key Laboratory of Water Supply, Water Saving and Water Environment Treatment for Towns in the Yangtze River Delia, Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;
2. Shanghai Fengxian Water Supply Co., Ltd., Shanghai 201400, China

摘要

摘要: 基于上海某典型深度处理给水厂2020—2023年间每月监测和运行管理数据,采用排放因子法对水厂碳排放进行系统的碳核算,揭示了给水厂的碳排放组成和变化趋势。结果表明:从2020到2023年,水厂取供水量逐年上升,碳排放总量逐年增加,年均碳排放总量为14972.84 t CO₂-eq,碳排放强度为0.2240 kg CO₂-eq/m³。从组成上看,取水泵房、常规处理和药剂使用3个环节是碳排放的主要来源,分别占比29.02%、36.69%和17.40%。从变化上看,电力碳排放强度在全年相对稳定,药剂碳排放强度在全年呈显著的季节性波动,碳排放强度高峰主要出现在第1季度和第3季度。结合气候、水质指标对碳排放强度进行回归分析和相对重要性分析,回归模型对电力和混凝剂碳排放强度的变化差异解释性较好,其中原水量是影响电力碳排放强度的显著因素,混凝剂碳排放强度受原水量和水温的显著影响。给水厂可以结合碳排放关键节点的组成和月度变化特征,制定相应的节能减碳方案。
- 给水厂 /
- 碳核算 /
- 碳排放特征 /
- 排放强度 /
- 影响因素
Abstract: This study conducted a systematic carbon accounting for a typical deep treatment waterworks in Shanghai based on monthly monitoring and operational data from 2020 to 2023, using the emission factor method, to reveal the composition and trend of carbon emissions in the waterworks. The results showed that the water intake and supply volume increased year by year from 2020 to 2023, and the total carbon emissions increased year by year, with an average annual total carbon emissions of 14,972.84 t CO₂-eq, and a carbon emission intensity of 0.2240 kg CO₂-eq/m³. From the perspective of compositions, the pumping stations, conventional treatment, and chemical use were the main sources of carbon emissions, accounting for 29.02%, 36.69%, and 17.40%, respectively. From the perspective of seasonal changing trend, the carbon emission intensity of electricity was relatively stable throughout the year, while the carbon emission intensity of chemicals showed significant seasonal fluctuations, with peak emission intensity mainly appearing in the first and third quarters. By conducting regression analysis and relative importance analysis on carbon emission intensity based on climate and water quality indicators, the regression model was found good in explaining the changes in electricity and coagulant carbon emission intensity, with the water intake being a significant factor of electricity carbon emission intensity, and coagulant carbon emission intensity being significantly affected by water intake and water temperature. Waterworks can formulate corresponding energy-saving and carbon reduction schemes based on the composition and monthly variation characteristics of key carbon emission nodes.
- water supply plant /
- carbon accounting /
- carbon emission characteristics /
- emission intensity /
- influencing factor

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参考文献(19)

[1]	YATEH M, LI F, TANG Y, et al. Energy consumption and carbon emissions management in drinking water treatment plants: a systematic review[J]. Journal of Cleaner Production, 2024, 437.
[2]	本刊编辑部. 《城乡建设领域碳达峰实施方案》出台[J]. 工程建设标准化, 2022(8): 49-50.
[3]	郭恰, 陈广, 马艳. 城市水系统关键环节碳排放影响因素分析及减排对策建议[J]. 净水技术, 2021, 40(10): 113-117.
[4]	任怡,周长胜.谈"双碳"目标下水务行业可持续发展与战略[J/OL].水利发展研究,1-7[2024-11-15 ].http://kns.cnki.net/kcms/detail/11.4655.TV.20240620.1413.002.html.
[5]	翁晓姚. 碳达峰与碳中和目标下供水企业绿色低碳发展的思考[J]. 净水技术, 2022, 41(5): 1-4 ,13.
[6]	刘然彬, 于文波, 张梦博,等. 城镇水务系统碳核算与减碳/降碳规划方法[J]. 中国给水排水, 2023, 39(8): 1-10.
[7]	邱勇, 刘雪洁, 石培培,等. 济南市污水处理厂碳排放特征分析[J]. 环境工程, 2023, 41(增刊2): 218-223.
[8]	刘跃廷,张强,蒋晓辉,等.西安市城镇污水系统碳排放时空特征及其主要驱动因素[J/OL].环境工程,1-18[2024-11-15 ].http://kns.cnki.net/kcms/detail/11.2097.X.20230925.0936.006.html.
[9]	LI F K, ZHANG X Y, HUANG J L, et al. Greenhouse gas emission inventory of drinking water treatment plants and case studies in China[J]. Science of the Total Environment, 2024, 912:169090.
[10]	ZHANG P, MA B R, ZHENG G L, et al. Unveiling the greenhouse gas emissions of drinking water treatment plant throughout the construction and operation stages based on life cycle assessment[J]. Ecotoxicology and Environmental Safety, 2024, 272:116043.
[11]	MO W W, ZHANG Q. Modeling the influence of various water stressors on regional water supply infrastructures and their embodied energy[J]. Environmental Research Letters, 2016, 11(6):064018.
[12]	LI L, LEE G, KANG D. Estimation of Energy Consumption and CO₂ emissions of the water supply sector: a Seoul Metropolitan City (SMC) case study[J]. Water, 2024, 16(3):479.
[13]	LAM K L, LIU G, MOTELICA-WAGENAAR A M, et al. Toward carbon-neutral water systems: insights from global cities[J]. Engineering, 2022, 14: 77-85.
[14]	KIM J, . Carbon emission evaluation of tap water[J]. Journal of the Korean Society of Water and Wastewater, 2011, 25(4): 511-517.
[15]	MO W W, WANG H Y, JACOBS J M. Understanding the influence of climate change on the embodied energy of water supply[J]. Water Research, 2016, 95: 220-229.
[16]	STANG S, WANG H Y, GARDNER K H, et al. Influences of water quality and climate on the water-energy nexus: a spatial comparison of two water systems[J]. Journal of Environmental Management, 2018, 218: 613-621.
[17]	WU L Y, PAN Y L, LI J F, et al. Spatial heterogeneity of factors affecting GHG emission intensity in urban water supply and wastewater treatment systems in China[J]. Journal of Cleaner Production, 2023, 428:139325.
[18]	张翔宇, 胡建坤, 马凯,等. 给水厂典型工艺碳排放特征与影响因素[J]. 环境科学, 2024, 45(1): 123-130.
[19]	KHALKHALI M, DILKINA B, MO W W. The role of climate change and decentralization in urban water services: a dynamic energy-water nexus analysis[J]. Water Research, 2021, 207:117830.