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A positive and negative balance accounting method for carbon emissions in parks based on K-nearest neighbour clustering algorithm

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  • Junzhi Song

Abstract

In order to improve accounting accuracy and shorten accounting time, the paper proposes a positive and negative balance accounting method for carbon emissions in parks based on K-nearest neighbour clustering algorithm. Firstly, collect and standardise the carbon emission data of the park. Then, K-nearest neighbour clustering algorithm is used to cluster the carbon emission management items. After reconstructing the data components, the reconstruction component with the highest sample entropy is decomposed twice to obtain the carbon emission coefficient of land use type. Finally, a carbon emission balance accounting model is constructed, and the accounting results are obtained by integrating various production factors in the model. The experimental shows that after applying this method, the accuracy and recall of carbon emission accounting can reach 96.09% and 99.6%, respectively. The time required for positive and negative balance accounting is only 2.5 minutes, indicating that this method has achieved the design expectations.

Suggested Citation

  • Junzhi Song, 2025. "A positive and negative balance accounting method for carbon emissions in parks based on K-nearest neighbour clustering algorithm," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 28(1/2/3), pages 45-60.
    • Handle: RePEc:ids:ijetma:v:28:y:2025:i:1/2/3:p:45-60
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