2023 Vol.6 Dec.N06

• Title: A Method for Calculating Carbon Emission Data of Urban Buildings under the Application of Cloud Computing Technology
• Name: Yaoning Yang
• Company: 1.Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University, Chongqing, 400045 China 2.Institute for Urban Design and Sustainable Urban Planning, Technical University of Berlin, Berlin, 10623
• Abstract:

  This article explores the application of cloud computing technology in the calculation of urban building carbon emissions data, analyzes the basic principles of cloud computing technology and its advantages and challenges in the calculation of urban building carbon emissions data, and elaborates in detail on the data collection, statistical analysis, and model optimization of cloud computing technology in the calculation of urban building carbon emissions data. This study indicates that in order to further promote the application of cloud computing technology in the calculation of urban building carbon emissions data, it is necessary to strengthen data quality supervision, improve technical professionalism, and ensure data security, in order to ensure the effective application of cloud computing technology in the calculation of urban building carbon emissions data and provide reliable data support for urban sustainable development.

  
  

• Keyword: Cloud computing technology; City Building; Carbon emissions; Data calculation
• DOI: 10.12250/jpciams2023090809
• Citation form: Yaoning Yang .A Method for Calculating Carbon Emission Data of Urban Buildings under the Application of Cloud Computing Technology [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.42-45

[1] XU, ZHICUN, LIU, LIANYI, WU, LIFENG. Forecasting the carbon dioxide emissions in 53 countries and regions using a non-equigap grey model[J]. Environmental Science and Pollution Research,2021,28(13):15659-15672.

[2] SCHUH, ANDREW E., OTTE, MARTIN, LAUVAUX, THOMAS, et al. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing[J]. Remote Sensing of Environment: An Interdisciplinary Journal,2021,262.

[3] SASAKI, NOPHEA, MYINT, YADANAR YE, ABE, ISSEI, et al. Predicting carbon emissions, emissions reductions, and carbon removal due to deforestation and plantation forests in Southeast Asia[J]. 2021,312(20):1-12.