A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

Abstract

This paper proposes a modified process analysis method that combines with the input–output method for carbon emissions assessment in slurry shield tunnel construction. The method was applied to analyze the carbon emissions generated during the construction procedures of a slurry shield tunnel. The results indicate that the carbon emissions from building materials account for the majority of the total emissions, while those from the shield machine and construction procedure are relatively small. In addition, BP and CNN-LSTM neural network models were established to validate the accuracy of the calculation results with model error of 0.1031. Finally, recommendations for reducing carbon emissions in the construction course of slurry shield tunnels are provided.

Strategic Allocation of Building Carbon Emission Rights Within Urban Frameworks: A Case Study of Henan Province Under China’s Dual Carbon Objectives

“…The research on carbon emission right allocation mainly focuses on the public field, primarily in the iron and steel [18], chemical industry [19], transportation [20], and other industries [21,22]. It also focuses on aspects of the allocation index system [23], allocation method [24], and allocation scale [25].…”