企业大气污染排放数据挖掘方法研究--以北京及其周边为例

Research on Data Mining Method for Enterprise Air Pollution Emission ——A Case Study of Beijing and Its Surrounding Regions

目前,大气污染决策已经成为我国一项直接影响经济、社会发展的重要情报工作。为了得到对北京及其周边主要工业企业大气污染排放的精确、可信的情报,本研究通过对北京及其周边企业大气污染排放数据的获取,构建企业大气污染排放数据库,并对北京及其周边地区不同类型企业、不同类型污染物以及不同方位的污染排放进行数据分析,寻找造成北京及其周边大气污染的主要污染物、主要污染类型企业和主要方位,再基于模糊认知图的数据挖掘方法定量地建立企业污染排放对大气污染的非线性影响关系,由此为北京及其周边企业大气污染防控提供决策支持。

At present, air pollution decision has become one of the most important information services,which directly affects the economic and social development in our country. In order to obtain accurate and credible information of atmospheric pollution emissions from the major industrial enterprises in Beijing and its surrounding areas, a kind of enterprise air pollution emission database was constructed through acquisition of air pollution emission data from Beijing and its surrounding enterprises. And data analysis was carried out on polluting emission from different types of enterprises, different types of pollutants and different directions for detecting the major pollutants, the major pollution types of enterprises and major directions resulting in air pollution of Beijing and its surrounding regions. On the basis of these analysis, the nonlinear relationships between the major pollution enterprises and air pollution were mined quantitatively based on fuzzy cognitive map, which can provide decision support for air pollution emission control from enterprises in Beijing and its surrounding regions.