Abstract: By considering the climate and economic and social factors, considering and analyzing the climate factors and functions synthetically, the “economic climate” model is constructed, and the influence degree of climate factors on the traditional Chinese medicine industry in Anhui Province is analyzed and obtained. The BP neural network model is used to analyze the data and predict the impact of meteorological factors on the traditional Chinese medicine industry. Through the analysis of the characteristics and direction of climate change in Anhui Province, the influence degree of climate factors on traditional Chinese medicine industry is determined, which provides certain data analysis support for the development of traditional Chinese medicine industry, provides methods and data basis for targeted management of traditional Chinese medicine industry, and has certain theoretical and practical significance for reducing the negative effects of severe meteorological disasters on the production of traditional Chinese medicine.

Key words: climate, Anhui traditional Chinese medicine industry, economic impact, economic climate model

摘要： 通过考虑气候和经济社会因素,将气候因素与函数综合考虑并进行分析,构建“经济气候”模型,分析并得出气候因素对安徽省中药材产业影响程度,利用所构建BP神经网络模型,分析数据,对气象因素对中药材产业的影响结果进行预测。通过分析安徽省气候变化的特点与方向,确定气候因素对中药材产业的影响程度,为中药材产业发展提供一定的数据分析支撑,为有针对性的管理中药材产业提供方法与数据基础,同时对降低严重气象灾害对中药材生产带来的负面作用具有一定的理论与实践意义。

关键词: 气候, 安徽中药材产业, 经济影响, 经济气候模型