Carbon emission quantitative inversion method, apparatus and device, and storage medium

Abstract

The invention relates to the technical field of low carbon, and provides a method, a device and equipment for performing carbon emission quantitative inversion by using orbit carbon observation satellite remote sensing data, and a storage medium. The method for performing carbon emission quantitative inversion by using the orbit carbon observation satellite remote sensing data comprises the following steps: quantifying factory carbon emission to obtain linear density of carbon dioxide cross section flux; optimizing the wind direction by using a Gaussian plume model to obtain an optimized wind direction; based on the linear density of the carbon dioxide cross section flux and the optimized wind direction, the carbon dioxide emission value of the power plant is obtained through calculation. By means of the method and device, the carbon dioxide emission condition of the power plant can be quantitatively monitored, fine factory-level carbon emission monitoring and management are achieved, estimation result errors caused by wind direction deviation are effectively reduced, and an independent accounting system for accounting carbon emission without depending on factory energy consumption data can be formed.

Description

technical field [0001] The present disclosure relates to the field of low-carbon technologies, and in particular, to a method, device, device and storage medium for quantitative inversion of carbon emissions by using the orbital carbon observation satellite OCO-2 remote sensing data. Background technique [0002] carbon dioxide (CO 2 ) is one of the major greenhouse gases responsible for global warming. Human activities such as the burning of fossil fuels are a major contributor to the increase in carbon dioxide levels in the atmosphere. Since the end of the last century, in response to climate change, the parties have formulated emission reduction agreements such as the "Paris Agreement" and the "Kyoto Protocol", aiming to limit the increase in global average temperature to within 2 degrees Celsius of the pre-industrial level. Therefore, accurate accounting of carbon dioxide emissions at various scales such as countries, cities and factories is an important benchmark for ...

AI Technical Summary

Problems solved by technology

In the existing studies using the orbiting carbon observation satellite OCO-2 to monitor anthropogenic carbon dioxide emissions, most of them observe the changes of carbon dioxide concentration in urban areas, or the changes of global regional carbon dioxide concentration over time, and the quantitative research of carbon dioxide emissions has not yet been realized

Only a few studies have realized the use of the orbiting carbon observation satellite OCO-2 to observe the trajectory and quantify the carbon dioxide emissions of power plants. Due to the inaccurate wind direction, there are defects such as large estimation errors and difficult attribution of estimation results.

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