Investigation of carbon emission in slurry shield tunnel construction based on modified process analysis method

Abstract

Underground engineering, including shield tunnel construction, is a significant contributor to carbon dioxide emissions in infrastructure engineering projects. To better predict and control the carbon emissions associated with shield tunnel construction, this paper presents a novel calculation method: the modified process analysis method based on input-output and process analysis methods. To evaluate the effectiveness of the proposed method, a specific shield tunnel construction project was selected as a case study. The modified process analysis method was used to analyze the various factors that influence carbon emissions during the project’s construction phase. In addition, a neural network approach was applied to validate the accuracy of the calculation using the LSTM and BP neural network. The results demonstrate that the proposed method not only combines the strengths of traditional methods but also offers high accuracy and acceptable error rates. Based on these findings, several measures to reduce carbon emissions during shield tunnel construction are suggested, providing valuable insights for reducing CO2 emissions associated with infrastructure engineering projects. This study highlights the importance of adopting innovative approaches to reduce carbon emissions and promotes the implementation of sustainable practices in the construction industry. Through the use of advanced analytical methods, such as the proposed modified process analysis method, we can effectively mitigate the environmental impact of construction activities and make significant contributions to the global effort to combat climate change.