CARBON EMISSION REDUCTION POTENTIAL FROM CHINA MUNICIPAL SOLID WASTE SORTING TREATMENT BASED ON THE “TWO NETWORKS INTEGRATION” MODEL

QIU Boran; XIA Yijia; BI Jingran; YU Tao; LIN Tong; ZHANG Hanqi; MA Fengmin; ZHEN Guangyin

doi:10.13205/j.hjgc.202405023

Volume 42 Issue 5

May 2024

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2024 > 42(5): 183-191

QIU Boran, XIA Yijia, BI Jingran, YU Tao, LIN Tong, ZHANG Hanqi, MA Fengmin, ZHEN Guangyin. CARBON EMISSION REDUCTION POTENTIAL FROM CHINA MUNICIPAL SOLID WASTE SORTING TREATMENT BASED ON THE “TWO NETWORKS INTEGRATION” MODEL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(5): 183-191. doi: 10.13205/j.hjgc.202405023

Citation:

QIU Boran, XIA Yijia, BI Jingran, YU Tao, LIN Tong, ZHANG Hanqi, MA Fengmin, ZHEN Guangyin. CARBON EMISSION REDUCTION POTENTIAL FROM CHINA MUNICIPAL SOLID WASTE SORTING TREATMENT BASED ON THE “TWO NETWORKS INTEGRATION” MODEL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(5): 183-191. doi: 10.13205/j.hjgc.202405023

Citation:

QIU Boran, XIA Yijia, BI Jingran, YU Tao, LIN Tong, ZHANG Hanqi, MA Fengmin, ZHEN Guangyin. CARBON EMISSION REDUCTION POTENTIAL FROM CHINA MUNICIPAL SOLID WASTE SORTING TREATMENT BASED ON THE “TWO NETWORKS INTEGRATION” MODEL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(5): 183-191. doi: 10.13205/j.hjgc.202405023

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CARBON EMISSION REDUCTION POTENTIAL FROM CHINA MUNICIPAL SOLID WASTE SORTING TREATMENT BASED ON THE “TWO NETWORKS INTEGRATION” MODEL

doi: 10.13205/j.hjgc.202405023

1. Shanghai Key Laboratory of Urbanization Ecological Process and Ecological Restoration, School of Ecology and Environmental Sciences, East China Normal University, Shanghai 200241, China;
2. Shanghai Engineering Technology Research Center, Shanghai 200241, China;
3. Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China;
4. Technology Innovation Center of Ministry of Natural Resources, Shanghai 200062, China

Received Date: 2023-11-15
Available Online: 2024-07-11

Abstract

Abstract

As an important initiative to reuse and reduce municipal solid waste, municipal solid waste classification and disposal is a key component in reducing greenhouse gas (GHG) emissions in the waste disposal process and achieving the goal of carbon neutrality and carbon peaking. After a pilot study in Shanghai, the "Two Networks Integration" model, which effectively combines the recycling network and the city sanitation network shows its advantage in reducing carbon emissions. However, the current research on carbon emissions from China’s domestic waste is only limited to the regional scale. Fewer greenhouse gas emission accounting systems, most of which lack accuracy and uniformity, are available in a national spatial and temporal framework. Meanwhile, most of the accounting indicators and parameters need to be updated. This project was based on a "1+4+8" urban research approach, combining fieldwork, policy, and literature research, to establish a GHG accounting system for domestic waste classification and disposal in China. The research explored the carbon emissions of domestic waste in each province and city during the 13th Five-Year Plan period through data analysis, and predicted the carbon reduction potential of the application of the "Two Networks Integration" model during the 14th Five-Year Plan period. The results showed that the carbon reduction effect (in terms of carbon emission factor) of waste treatment before and after the "Two Networks Integration" changed from 0.71 kg CO₂-eq/t to 1.56 kg CO₂-eq/t. It was expected that, if the coverage rate of the "Two Networks Integration" reaches 10% in China, the carbon reduction potential contributed by all regions would reach 13.1 million tons in 2025. The research also provided targeted recommendations based on the "Shanghai Experience" for different levels of city clusters to reduce energy consumption and increase synergies in the whole process of domestic waste disposal nationwide.
- Two Networks Integration,
- municipal solid waste,
- sorting treatment,
- greenhouse gas emissions,
- carbon reduction potential

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References(28)

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