自适应FCM土壤表层重金属污染评价——以南京市炼油厂及生活区为例

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Abstract Adaptive Fuzzy C-Mean Clustering (FCM) was used to excavate the pollution degree information of heavy metals in soil to achieve automatic acquisition of the classification of pollution degrees, in order to ensure the rationality of classification and truly reflect the spatial aggregation characteristics of heavy metal pollution. Taking the refinery and living area of Nanjing, Jiangsu Province as the research object, the heavy metal concentration values of Cr, Cd, Ni, Pb, Zn and Cu in the soil were collected. Firstly, the concentration values were analyzed by adaptive FCM, and then the spatial interpolation of geostatistical science was used to reveal the spatial agglomeration of pollution. The results indicated that there were different degrees of pollution in the study area; the degree of heavy metal pollution could be divided by the adaptive FCM algorithm more than the traditional clustering algorithm, the potential pollution information of the samples could be excavated, which could provide a reference for analyzing the causes of pollution and soil environmental remediation.

Key words： adaptive FCM soil surface heavy metal pollution evaluation confusion index spatial interpolation

Received: 28 April 2022

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X53

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	CHEN Hong-hua
	WANG Lu
	YU Ai-hua

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CHEN Hong-hua,WANG Lu,YU Ai-hua. Evaluation of heavy metal pollution in the soil surface of adaptive FCM——Taking the Nanjing refinery and its living area as an example[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(11): 5239-5245.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I11/5239

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