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天山胜利隧道隧址区污水处理全过程碳排放特征和碳减排模式研究
（长安大学公路学院，西安 710064）
Study on the Carbon Emission Characteristics and Carbon Emission Reduction Model in the Sewage Treatment Process in the Tianshan Shengli Tunnel Construction Area
(School of Highway, Chang'an University, Xi'an 710064)
Abstract：
In order to reveal the carbon emission characteristics in the sewage treatment process during construction of super-long tunnel, the sewage treatment process in the construction area of Tianshan Shengli Tunnel of UrumqiYuli Expressway is used as an example in this study, and the full life cycle method, process analysis method and pollutant parameters normalization method are used to create the new hybrid life cycle carbon emission calculation model for the sewage treatment process. Depending on the carbon emission footprint in the sewage treatment process, the carbon emission generated in the sewage treatment process is classified into direct emission and indirect emission, and its qualitative analysis and quantitative analysis have been conducted. The results indicate: in 2021~2022, the total carbon emission generated in the sewage treatment process in the construction area of Tianshan Shengli Tunnel was 4 242.43 tCO2eq, and the emission intensity was approx. 1.17 kgCO2eq/t; among the total carbon emission, the processes including electricity consumption, removal of BOD5, materials consumption, removal of TN and sludge transportation/disposal account for 85.3%, 11%, 2.1%, 1% and 0.6% respectively; by raising the quality standard for outlet water and using the sludge as fertilizer for soil for the purpose of energy conservation and emission reduction, the annual average carbon emission is reduced by approx. 15.6%, which brings about significant carbon emission reduction.
YIN Yan BAO Weixing LU Hanqing ZHANG Zhiyong CHE Bowen PAN Zhenhua LIN Xuhui
.Study on the Carbon Emission Characteristics and Carbon Emission Reduction Model in the Sewage Treatment Process in the Tianshan Shengli Tunnel Construction Area[J] MODERN TUNNELLING TECHNOLOGY, 2023,V60(6): 58-67
2023, Vol. 60 