Study on carbon emission calculation method and carbon reduction indexes of urban building stock

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外文摘要：Carbon emissions associated with buildings are a major source of urban emissions.To put forward the methods and strategies to curb carbon emissions from urban building stock,it is not only necessary to establish a carbon emission calculation method for fine statistical analysis,but also to evaluate carbon emissions of urban planning schemes with applicable indexes.Currently,researches mainly focus on carbon emissions of individual buildings.When expanded to urban building stock,the calculation faces the lack of basic data,inadequate spatial analysis and unspecific carbon reduction indexes.Therefore,this study proposes a bottom-up calculation method for urban building stock,conducts spatial analysis based on carbon balance of urban grids,reveals the coupling mechanism between urban carbon reduction indexes and grid carbon emissions,and systematically establishes a carbon-reduction-oriented urban planning method that comprises calculation,analysis and evaluation,which is applied to Xi'an,China.This study provides a theoretical reference for cities to formulate carbon reduction targets and implement planning strategies by evaluating and predicting carbon emissions from urban building stock.

外文关键词：

carbon emissionsurban building stockcalculation methodcarbon reduction index

作者：

YANG Liu、ZHANG Nan、LU Mei、LUO ZhiXing、DOU Mei

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作者单位：

State Key Laboratory of Green Building,Xi'an University of Architecture and Technology,Xi'an 710055,China

School of Architecture,Xi'an University of Architecture and Technology,Xi'an 710055,China

School of Language,Literature and Law,Xi,an University of Architecture and Technology,Xi,an 710055,China

School of Management,Xi'an University of Architecture and Technology Xi,an 710055,China

China Southwest Architectural Design and Research Institute Corp.Ltd.,Chengdu 610041,China

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基金：

National Natural Science Foundation of ChinaOpening Fund of State Key Laboratory of Green Building

项目编号：

51838011LSZZ202204

出版年：

2024

DOI：

10.1007/s11431-023-2670-9

中国科学:技术科学(英文版)

中国科学院

中国科学:技术科学(英文版)

CSTPCDEI

影响因子：1.056

ISSN：1674-7321

年,卷(期)：2024.67(9)