文章摘要
彭珍,卜潇箫,高雅,赵宁,明冲.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[J].情报工程,2017,3(2):041-050
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 Enterpriseair Pollution Emission—a case study of beijingand its surrounding regions
  
DOI:10.3772/j.issn.2095-915X.2017.02.006
中文关键词: 大气污染,企业大气污染排放数据,模糊认知图,数据挖掘
英文关键词: Air pollution, enterprise air pollution emission data, fuzzy cognitive map, data mining
基金项目:本文受国家自然科学基金项目“探索雾霾形成的模糊认知图构建及其数据挖掘方法”(71601022);北京市社科基金项目“数据驱动的北京大气污染源智能分析”(15JDJGB028);北京市自然科学基金项目(4173074)、北京市URT项目(2016J00152、2016J00153)的资助。
作者单位
彭珍 北京石油化工学院信息管理与信息系统系 
卜潇箫 北京石油化工学院信息管理与信息系统系 
高雅 北京石油化工学院信息管理与信息系统系 
赵宁 北京石油化工学院信息管理与信息系统系 
明冲 北京石油化工学院信息管理与信息系统系 
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中文摘要:
      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。
英文摘要:
      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
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