利用社交媒体数据模拟城市空气质量趋势面

王艳东1 荆彤1 姜伟1 王腾1 付小康1

(1.武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079)

【摘要】近年来,随着城市的发展,空气污染日益严重。目前,我国城市空气质量监测主要依靠空气质量监测站,但监测站数量有限,并且空气质量在一个城市的不同区域会出现较大起伏,单一利用监测站不易发现城市所有位置的空气质量起伏变化。对此,利用带有地理位置信息的新浪微博数据,分析空气污染相关主题微博与空气质量监测站点空气质量指数(air quality index,AQI)数据的相关性,建立两者间的函数关联,提出了一种建立城市空气质量趋势面的方法。实验结果表明,该方法不仅能定性地表现出城市不同区域的相对空气质量,也可定量、细粒度地展示城市空气质量情况。

【关键词】 社交媒体; 新浪微博; 城市空气质量; 趋势面;

【DOI】

【基金资助】 国家自然科学基金(41271399) The National Natural Science Foundation of China,No.41271399 测绘地理信息公益性行业科研专项经费(201512015) China Special Fund for Surveying,Mapping and Geoinformation Research in the Public Interest,No.201512015 高等学校博士学科点专项科研基金(20120141110036) the Specialized Research Fund for the Doctoral Program of Higher Education,No.20120141110036 国家科技支撑计划(2012BAH35B03) the National Key Technology R&D Program of China,No.2012BAH35B03

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    References

    [1]Huang R J,Zhang Y,Bozzetti C,et al.High Secondary Aerosol Contribution to Particulate Pollution During Haze Events in China[J].Nature,2014,514(7 521):218-222

    [2]Zheng Y,Liu F,Hsieh H-P.U-Air:When Urban Air Quality Inference Meets Big Data[C].The19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,Chicago,Illinois,USA,2013

    [3]Zhang Xiaoxiang.Spatial Analysis in the Era of Big Date[J].Geomatics and Information Science of Wuhan University,2014,39(6):655-659

    [4]Li Deren,,Yao Yuan,Shao Zhenfeng.Big Data in Smart City[J].Geomatics and Information Science of Wuhan University,2014,39(6):631-640

    [5]Li Qingquan,Li Deren.Big Data GIS[J].Geomatics and Information Science of Wuhan University,2014,39(6):641-64

    [6]Liu Y,Liu X,Gao S,et al.Social Sensing:A New Approach to Understanding Our Socioeconomic Environments[J].Annals of the Association of American Geographers,2015,105:1-19

    [7]Huberman B A,Asur S.Predicting the Future with Social Media[C].IEEE/WIC/ACM International Conference on the Web Intelligence and Intelligent Agent Technology,Washington,D C,USA,2010

    [8]Ferrari L,Rosi A,Mamei M,et al.Extracting Urban Patterns from Location-Based Social Networks[C].The 3rd ACM SIGSpatial International Workshop on Location-Based Social Networks,Dallas,Texas,2011

    [9]Liu Y,Sui Z,Kang C,et al.Uncovering Patterns of Inter-urban Trip and Spatial Interaction from Social Media Check-in Data[J].PloS One,2014,DOI:10.1371/journal.pone.0086026

    [10]Liu Y,Kang C,Gao S,et al.Understanding Intraurban Trip Patterns from Taxi Trajectory Data[J].Journal of Geographical Systems,2012,14(4):463-483

    [11]Nagel A C,Tsou M-H,Spitzberg B H,et al.The Complex Relationship of Realspace Events and Messages in Cyberspace:Case Study of Influenza and Pertussis Using Tweets[J].Journal of Medical Internet Research,2013,15(10):237-246

    [12]SalathéM,Khandelwal S.Assessing Vaccination Sentiments with Online Social Media:Implications for Infectious Disease Dynamics and Control[J].PLoS Comput Biol,2011,DOI:10.1371/journal.pcbi.1002199

    [13]Achrekar H,Gandhe A,Lazarus R,et al.Predicting Flu Trends Using Twitter Data[C].IEEE Conference on the Computer Communications Workshops,Shanghai,China,2011

    [14]Sakaki T,Okazaki M,Matsuo Y.Earthquake Shakes Twitter Users:Real-Time Event Detection by Social Sensors[C].The 19th International Conference on World Wide Web,Toronto,Canada,2010

    [15]de Longueville B,Smith R S,Luraschi G.OMG,from Here,I Can See the Fames!:A Use Case of Mining Location Based Social Networks to Acquire Spatio-temporal Data on Forest Fires[C].ACM International Workshop on Location Based Social Networks,Seattle,W A,USA,2009

    [16]Yates D,Paquette S.Emergency Knowledge Management and Social Media Technologies:A Case Study of the 2010Haitian Earthquake[J].International Journal of Information Management,2011,31(1):6-13

    [17]Tsou M H,Yang J A,Lusher D,et al.Mapping Social Activities and Concepts with Social Media(Twitter)and Web Search Engines(Yahoo and Bing):A Case Study in 2012US Presidential Election[J].Cartography and Geographic Information Science,2013,40(4):337-348

    [18]Tumasjan A,Sprenger T O,Sandner P G,et al.Predicting Elections with Twitter:What 140Characters Reveal About Political Sentiment[C].International Conference on Web and Social Media,Washington,D C,USA,2010

    [19]Burton S H,Tanner K W,Giraud-Carrier C G,et al.“Right Time,Right Place”Health Communication on Twitter:Value and Accuracy of Location Information[J].Journal of Medical Internet Research,2012,14(6):86-96

    [20]Kay S,Zhao B,Sui D.Can Social Media Clear the Air?A Case Study of the Air Pollution Problem in Chinese Cities[J].The Professional Geographer,2015,67(3):351-363

    [21]Cheng Ronglan,Chen Guangzhi.Parameric Estimation of the van Genuchten’s Equation by a New Method with Levenberg-Marquardt Theory[EB/OL].http://www.paper.edu.cn/releasepaper/content/200809-230.html,2015

This Article

ISSN:1671-8860

CN: 42-1676/TN

Vol 42, No. 01, Pages 14-20

January 2017

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Article Outline

摘要

  • 1 空气质量趋势面建立方法
  • 2 空气污染相对严重区域提取
  • 3 结语
  • 参考文献