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空气污染特征与分布规律的可视化技术研究 被引量:1

Research on Visualization of Air Pollution Characteristics and Distribution
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摘要 我国空气污染日益严重,为提高对空气污染特征和规律的认识,研究对空气污染的治理,基于信息可视化技术和空气质量信息数据,结合Html5、JavaScript和D3编程接口,对我国空气污染特征与分布规律进行可视化展示和分析。为掌握各城市实时空气污染状况,将城市空气质量数据信息在同一图表中进行实时可视化排名展示;为反映各参数对空气质量的贡献变化关系以及各参数随时间的变化趋势,将各城市空气污染及各参数信息实时显示;为反映各城市空气污染随时间变化的趋势以及城市空气污染与地理位置、人口数量的关系,将各城市之间的空气数据信息进行对比并可视化展示。论文成果有助于我国居民、环境部门专业人士、城市建设决策部门认识我国各个城市的空气污染特征和规律,加强环保意识,进而治理空气污染。 Air pollution is increasing serious in our country. In order to help understand the characteristics and laws of the air pollution, and to study the air pollution governance, based on information visualization technology and air quality information data, combined with Html5, JavaScript and D3 programming interface, visualize and analyze the characteristics and distribution of air pollution in China. In order to grasp the real-time air pollution status of each city, the city air quality data information is displayed in real time in the same chart. In order to reflect the change of the contribution of each parameter to air quality and the change trend of each parameter with time, display air pollution situation of each city and the parameters of air pollution in real time. In order to reflect the city's air pollution over time trends and urban air pollution and geographical location, compare and visualize the air data information between cities. The results of this paper will help our residents, the environmental professionals, urban construction decision-making departments to understand air pollution characteristics and distribution of cities, strengthen the consciousness of environmental protection, and then control the air pollution.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2017年第6期1073-1078,共6页 Journal of Northwestern Polytechnical University
基金 西北工业大学重点扶持项目(W015105)资助
关键词 可视化 空气质量数据 分布式数据库 D3 visualization data of air quality a distributed database D3
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