基于大数据的空气污染治理与政府决策

发布时间：2018-02-26 11:43

本文关键词： 大数据空气污染治理政府决策环境治理　出处：《华南师范大学学报(社会科学版)》2017年04期 　论文类型：期刊论文

【摘要】：大数据与传统数据管理相比,具有规模海量、类型多样和流转迅速等特点,能够更好地帮助政府及相关部门做好空气环境质量管理。面对当今空气污染的严重态势,应基于空气环境信息管理的特点、问题以及大数据的相关含义、特征和技术,结合云计算等新型技术,构建空气污染治理大数据平台,集成与整合各类空气环境数据,实现数据资源共享和业务协同。同时,利用大数据技术结合各种专业模型,对现有空气环境数据资源进行深度挖掘,形成空气污染治理有效机制,最终为政府决策提供科学依据。
[Abstract]:Compared with traditional data management, big data has the characteristics of massive scale, diverse types and rapid circulation, which can better help the government and relevant departments to do a good job of air quality management. Based on the characteristics and problems of air environment information management, as well as the relevant meanings, characteristics and technologies of big data, and combined with new technologies, such as cloud computing, we should build an air pollution and environmental information platform, and integrate and integrate all kinds of air environmental data. To realize data resource sharing and business cooperation. At the same time, using big data technology combined with various professional models, the existing air environment data resources are deeply mined to form an effective air pollution control mechanism. Finally, it provides scientific basis for government decision-making.
【作者单位】：华南理工大学公共管理学院;中南大学公共管理学院;
【基金】：国家自然科学基金项目“绿色创新政策对环境治理绩效的影响:机制、路径及其效应”(71673308) 教育部人文社会科学研究重大攻关项目“我国社会治理体系构建及其运行机制研究”(16JZD026) 国家社会科学基金项目“基于大数据应用的地方政府治理模式创新研究”(16BGL155)
【分类号】：X51

【参考文献】