Modeling Urban Air Quality Trend Surface Using Social Media Data

WANG Yandong1 JING Tong1 JIANG Wei1 WANG Teng1 FU Xiaokang1

(1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China 430079)

【Abstract】Air pollution is getting worse with the development of cities in recent years. Urban air quality is mainly monitored by air quality monitoring stations at present. However, the number of stations is limited and the air quality fluctuates in different urban areas. So it is unefficient to detect air quality’s distribution in a city by air quality monitoring stations only. Based on Sina Weibo data with location information, we propose an urban air quality trend surface modeling method by analysing the correlation between air pollution related topic microblogs and air quality monitoring station AQI data. The study reveals that our method not only qualitatively shows the relative air quality in different regions of the city, but also demonstrations the urban air quality in a quantitative and fine-grained way. The findings of this study evaluate the feasibility of using a new type of large-scale data source for research on air quality estimation of any location in a city, and are of great significance when reflecting air quality distribution and finding areas where are relatively air polluted.

【Keywords】 social media; Sina Weibo; urban air quality; trend surface;

【DOI】

【Funds】 National Natural Science Foundation of China, No. 41271399 The National Natural Science Foundation of China,No.41271399 China Special Fund for Surveying, Mapping and Geoinformation Research in the Public Interest, No. 201512015 China Special Fund for Surveying,Mapping and Geoinformation Research in the Public Interest,No.201512015 Specialized Research Fund for the Doctoral Program of Higher Education, No. 20120141110036 the Specialized Research Fund for the Doctoral Program of Higher Education,No.20120141110036 National Key Technology Research and Development Program of China, No. 2012BAH35B03 the National Key Technology R&D Program of China,No.2012BAH35B03

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(Translated by CHEN Ziyue)

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This Article

ISSN:1671-8860

CN: 42-1676/TN

Vol 42, No. 01, Pages 14-20

January 2017

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Article Outline

Abstract

  • 1 Establishment method of air quality trend surface
  • 2 Extraction of regions with relatively severe air pollution
  • 3 Conclusions
  • References