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 associate...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 inputoutput 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 CO_(2) 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.展开更多
China is playing an increasing role in global climate change mitigation,and local authorities need more city-specifc information on the emissions trends and patterns when designing low-carbon policies.This study provi...China is playing an increasing role in global climate change mitigation,and local authorities need more city-specifc information on the emissions trends and patterns when designing low-carbon policies.This study provides the most comprehensive COemission inventories of 287 Chinese cities from 2001 to2019.The emission inventories are compiled for 47 economic sectors and include energy-related emissions for 17 types of fossil fuels and process-related emissions from cement production.We further investigate the state of the emission peak in each city and reveal hidden driving forces.The results show that38 cities have proactively peaked their emissions for at least fve years and another 21 cities also have emission decline,but passively.The 38 proactively peaked cities achieved emission decline mainly by effciency improvements and structural changes in energy use,while the 21 passively emission declined cities reduced emissions at the cost of economic recession or population loss.We propose that those passively emission declined cities need to face up to the reasons that caused the emission to decline,and fully exploit the opportunities provided by industrial innovation and green investment brought by low-carbon targets to achieve economic recovery and carbon mitigation goals.Proactively peaked cities need to seek strategies to maintain the downward trend in emissions and avoid an emission rebound and thus provide successful models for cities with still growing emissions to achieve an emission peak.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52079128)Anhui province university discipline(professional)top talents academic funding project,project number:gxbjZD2022085.
文摘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 inputoutput 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 CO_(2) 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.
基金supported by the National Natural Science Foundation of China(72140001 and 41921005)Shandong Provincial Science Fund for Excellent Youth Scholars(ZR2021YQ27)+1 种基金the National Social Science Fund of China(21ZDA065)the Natural Environment Research Council(2021GRIP02COP-AQ)。
文摘China is playing an increasing role in global climate change mitigation,and local authorities need more city-specifc information on the emissions trends and patterns when designing low-carbon policies.This study provides the most comprehensive COemission inventories of 287 Chinese cities from 2001 to2019.The emission inventories are compiled for 47 economic sectors and include energy-related emissions for 17 types of fossil fuels and process-related emissions from cement production.We further investigate the state of the emission peak in each city and reveal hidden driving forces.The results show that38 cities have proactively peaked their emissions for at least fve years and another 21 cities also have emission decline,but passively.The 38 proactively peaked cities achieved emission decline mainly by effciency improvements and structural changes in energy use,while the 21 passively emission declined cities reduced emissions at the cost of economic recession or population loss.We propose that those passively emission declined cities need to face up to the reasons that caused the emission to decline,and fully exploit the opportunities provided by industrial innovation and green investment brought by low-carbon targets to achieve economic recovery and carbon mitigation goals.Proactively peaked cities need to seek strategies to maintain the downward trend in emissions and avoid an emission rebound and thus provide successful models for cities with still growing emissions to achieve an emission peak.
