• DocumentCode
    2849566
  • Title

    BPNN and GIS Based Construction Land Geo-Environment Suitability Evaluation: Case from Hangzhou, China

  • Author

    Zhang, Liqin ; Li, Jiangfeng ; Kong, Chunfang ; Qu, Liping ; Zhu, Jianghong ; Chen, Zhongda ; Luo, Yida

  • Author_Institution
    Fac. of Earth Resources, China Univ. of Geosci., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Focusing on BPNN model application and GIS spatial analysis, Hangzhou construction land geology environment suitability evaluation is studied in this article. BPNN model set up, evaluation indices system set up, samples selection, data process, etc., are studied deeply based on BPNN and GIS based quantitative and spatial analysis. For Hangzhou case, factors including topography features, engineering geology, hydrogeology, and geo-hazard have been evaluated quantitatively with BPNN model. Hangzhou construction land geo-environment suitability is divided into four grades. The grade ¿ zone is 10.76% of the total evaluation region, locates mainly in the central area of the total region, which has better engineering geology conditions and good development potentiality. The grade ¿ zone locates mainly in the plain area of main urban district, which has good geology conditions and stable bearing strata, suitable for multilayer construction use and urban expansion. The grade ¿ zone has complicated geological conditions and bearing situations. The grade ¿ zone locates mainly in hilly area, which has steep gradients and poor geology conditions, and not suitable for scaled construction. Research conclusion shows the BPNN model is suitable for Hangzhou case, which has little relationships with subjective factors for indices´ weights, requires highly for sample selection and training. The Hangzhou case BPNN model, evaluation indices, GIS data process also can be used for related studies.
  • Keywords
    backpropagation; data analysis; geographic information systems; geology; neural nets; BPNN model; China; GIS data process; GIS spatial analysis; Hangzhou construction land geology environment; backpropagation neural network; construction land geology environment suitability evaluation; engineering geology conditions; evaluation indices system set up; hydrogeology; multilayer construction; quantitative analysis; urban expansion; Chemicals; Cities and towns; Geographic Information Systems; Geology; Hazards; Hydrology; Lakes; Rivers; Soil; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365296
  • Filename
    5365296