测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 88-91.doi: 10.13474/j.cnki.11-2246.2017.0262

• 学术研究 • 上一篇    下一篇

东北地区空气质量时空模式的可视化制图表达

王睿1, 周梦杰1, 王一恒1, 刘耀林1,2,3   

  1. 1. 武汉大学资源与环境科学学院, 湖北 武汉 430079;
    2. 武汉大学教育部地理信息系统重点实验室, 湖北 武汉 430079;
    3. 地理空间信息技术协同创新中心, 湖北 武汉 430079
  • 收稿日期:2016-12-30 出版日期:2017-08-25 发布日期:2017-08-29
  • 通讯作者: 刘耀林。E-mail:yaolin610@163.com E-mail:yaolin610@163.com
  • 作者简介:王睿(1993-),女,硕士生,主要研究方向为地理信息可视化。E-mail:jadore@whu.edu.cn
  • 基金资助:
    国家科技基础性工作专项重点项目(2013FY112800)

Mapping Spatial and Temporal Patterns of Air Condition in Northeast China

WANG Rui1, ZHOU Mengjie1, WANG Yiheng1, LIU Yaolin1,2,3   

  1. 1. School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China;
    2. Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China;
    3. Collaborative Innovation Center for Geospatial Information Science, Wuhan University, Wuhan 430079, China
  • Received:2016-12-30 Online:2017-08-25 Published:2017-08-29

摘要: 我国的工业化发展严重依赖于煤炭、钢铁、电力、交通等传统污染性产业,这类产业高能耗、高污染的特性造成了严重的环境污染问题。东北地区是我国重要的重化工产业基地及主要粮食产业产区,其生态环境,特别是空气质量备受关注。本文利用点格图对2015年中国东北地区的空气质量时空分布情况进行了可视化表达。在利用日历视图可视化表达空气质量指数级别及首要污染物信息的基础上,还加入了地理参考信息。空气质量点格图为理解和分析东北地区的空气质量现状及其时空分布模式提供了面向大众的、直观有效的方法。利用该方法对空气质量进行分析,有助于辨别空气污染的主要问题、提高公众的环境保护意识,以及制定切实有效的遏制空气污染的政策法规。

关键词: 空气质量, 地理可视化, 时空模式, 点格图

Abstract: The development of industry in China heavily depends on high energy consumption and high pollution industries, such as coal, steel, electricity, transportation and other traditional polluting industries, which cause serious environmental pollution problems. Northeast is an important heavy chemical industry base and one of the main grain industry producing areas in China. The ecological environment, especially the air quality of northeast China is of great importance. The focus of this study is to create a map representing the spatial temporal pattern of the air condition in northeast China. A calendar view is used to visualize the daily condition of air quality and primary pollutant in each city in 2015, the visualization also adds geographic-referenced information to enable them to express the spatial relationship between the cities. The air condition map provides an efficient way to investigate and understand the current status of air quality and spatial-temporal patterns of air condition in northeast China. This method is helpful for identifying major air pollution issues, raising public awareness of environmental protection, and making an air pollution abatement policy.

Key words: air condition, geographic visualization, spatial-temporal pattern, point grid map

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