• DocumentCode
    3446811
  • Title

    A study on digital isoseisms fast drawing method based on GIS — Take an example of Yunnan Province

  • Author

    Shaohua Zhang ; Kun Yang ; Shuangyun Peng ; Quanli Xu ; Liang Hong ; JinPing Li ; Yongqiang Li ; Fanghao Zhang

  • Author_Institution
    Eng. Res. Center of GIS Technol. in Western China, Kunming, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper discusses how to use the ArcEngine components and Orcale database to quickly draw the Yunnan Province digital isoseisms. Besides the current general ellipse model, the paper was the first time to complete the line source model of isoseisms drawing. At the same time, it improved the Binary search algorithm in order to quickly find closest active fault. Then the existing isoseisms file provided three correction methods: parameter correction, aftershocks correction and manual correction, which were respectively applied for the different data and purpose of the correction. Finally, taking an example of the simulation for Ning´er 6.4 and Lijiang 7.0 earthquake to demonstrate the method of fast drawing Yunnan digital isoseisms, and the method turned out to be feasible and practicable.
  • Keywords
    computer graphics; earthquakes; geographic information systems; geophysics computing; object-oriented databases; relational databases; search problems; ArcEngine components; GIS; Lijiang 7.0 earthquake; Ning´er 6.4 earthquake; Orcale database; Yunnan Province; active fault finding; aftershocks correction; binary search algorithm; digital isoseisms fast drawing method; general ellipse model; manual correction; parameter correction; Attenuation; Azimuth; Earthquakes; Economics; Market research; Simulation; Tin; Key word-GIS; binary search; earthquake; isoseisms model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626151
  • Filename
    6626151