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

Authors: Junzhi Song

Addresses: Southwest Jiaotong University Hope College, Cheng'du, 610400, China; Chengdu Transportation + Tourism Big Data Application Technology Research, Cheng'du, 610400, China

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.

Keywords: K-nearest neighbour algorithm; K-means clustering method; K-nearest neighbour clustering algorithm; secondary decomposition; carbon emissions.

DOI: 10.1504/IJETM.2025.144503

International Journal of Environmental Technology and Management, 2025 Vol.28 No.1/2/3, pp.45 - 60

Received: 03 Feb 2024
Accepted: 12 Jun 2024
Published online: 17 Feb 2025 *

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