关键词: FCM, 重金属污染, 农户认知程度, 神经网络, 矿区

Abstract: Farmers are the direct users of heavy metals polluted farmland in mining areas,and their awareness of the risks of heavy metal pollution in farmland is related to the adoption of safe use behaviors of farmland and the health of farmers themselves.In this paper,farmers′ perceptions of heavy metal pollution risks in farmland in mining areas are divided into four levels:cause perception,fact perception,loss perception and response perception.The semi-structural interview method was used to investigate the cognition of heavy metal pollution risk of farmers in typical mining areas in Daye City,and the fuzzy cognition map of heavy metal pollution risk of farmers in mining areas was established.The cognitive analysis method of heavy metal pollution risk of farmers in mining areas was formed by integrating graph theory index analysis,cognition degree analysis and simulation analysis.The study results show that:① Farmers′ cognition is mainly based on perceptual knowledge.Since farmland income is no longer the main source of income for farmers,farmers are more concerned about the living environment and physical health.In the face of risk,it is easy to think of passive adaptation measures such as abandoning wasteland and changing planting structure.Passive adaptation measures such as abandoning farmland and changing planting structure,while paying relatively little attention to soil pollution,price reduction of agricultural products,and land rent reduction,and insufficient attention to active mitigation and governance measures such as plowing,soil improvement,and restoration.② The overall risk awareness of farmers is not high,and the awareness of risk reasons,risk facts,risk losses and risk responses is gradually decreasing.Farmers have a relatively clear understanding of risk sources,but they are relatively clear about risk facts,risk losses and risk responses.The cognition level of soil pollution is low,especially the low level of farmers′ awareness of soil pollution,which will seriously affect the safe use of farmland and the health of farmers themselves.

Key words: FCM,heavy metal pollution,farmers′ awareness level,neural network,mining area