• DocumentCode
    2231951
  • Title

    GIS-based city noise mapping research and development

  • Author

    Tao, Pei ; Chen, Yunping ; Tong, Ling

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6729
  • Lastpage
    6732
  • Abstract
    In today´s society, as town roads and construction infrastructure has been improved gradually, the noise pollution has effected the environment more and more seriously. The noising map which has unique way to show the distribution of noise in the real-time and can monitor the situation of the noise effectively, it can let user master the situation of noise pollution clearly, and the application of noising map has become a main research direction of denoising work in recent years. This paper mainly analyzed the domestic and foreign research of the noising map and the main noise prediction method, selected the RLS90 model to develop the software. In the development, we used the ArcGIS Engine setups and Visual Studio programming environment, using the object-oriented development method and the GIS component second development function to develop a relatively perfect function noise prediction and noising map generation system based on the geographic information system.
  • Keywords
    computerised monitoring; geographic information systems; geophysics computing; noise pollution; object-oriented programming; town and country planning; visual programming; ArcGIS Engine; GIS-based city noise mapping; RLS90 model; construction infrastructure; domestic research; foreign research; geographic information system; noise distribution; noise map generation system; noise pollution; noise prediction method; object-oriented development; situation monitoring; software development; town road; visual studio programming; Cities and towns; Noise; Noise level; Object oriented modeling; Pollution; Predictive models; Roads; ArcGIS Engine development Kit; geography information system; noise prediction; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352340
  • Filename
    6352340