• DocumentCode
    484193
  • Title

    Optimization of Urban Drain Layout Using GIS

  • Author

    Qiu, Dongwei ; Wan, Shanshan ; Lv, Shuqiang ; Luo, Dean

  • Author_Institution
    Beijing Univ. of Civil Eng. & Archit., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The optimization of urban drain layout plays an important role to the protection of water ecosystem and urban environment. The paper puts forward a method to properly locate urban drain using population based incremental learning (PBIL) algorithm. The main factors such as regional containing sewage capacity, sewage disposal capacity quantity limit of drains within specific area are considered as constraint conditions. Analytic hierarchy process is used to obtain weight of single factor, and spatial analysis of environmental influencing factors is carried on based on GIS. The method is applied to actual engineering. The results have proved urban drain layout using GIS and PBIL algorithm excels traditional method and it can protect the urban environment efficiently and ensure the healthy development of water ecosystem successfully.
  • Keywords
    expert systems; geographic information systems; learning (artificial intelligence); optimisation; water resources; GIS; analytic hierarchy; drains; optimization; population based incremental learning algorithm; sewage capacity; sewage disposal capacity; urban drain layout; urban environment; water ecosystem; Cities and towns; Civil engineering; Ecosystems; Genetic mutations; Geographic Information Systems; Optimization methods; Protection; Sustainable development; Urban areas; Water pollution; Algorithm; Environmental factors; GIS; Optimization method; Urban area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779242
  • Filename
    4779242