Urban Carbon Emission Detection Platform Based on Python

Abstract

With the increasingly severe global climate change, reducing greenhouse gas emissions has become the consensus of all countries in the world. China is undergoing rapid urbanization, and it is urgent to strengthen urban carbon emission management. This paper analyzed the characteristics and management requirements of urban carbon emission data, proposed the overall architecture design of the platform, adopted Python for modular development, built a structured carbon emission data warehouse, and implemented a variety of carbon emission accounting and analysis algorithms such as IPCC emission factor method, STIRPAT model and ARIMA time series prediction. The platform is also tested and evaluated from the aspects of system performance and application effect, and good feedback is obtained in the actual application of departments.