(Article of periodic en Anglais - 2012)

Document title

GEO-environmental suitability evaluation of land for urban construction based on a back-propagation neural network and GIS : A case study of Hangzhou

Authors(s) and Affiliation(s)

XU K. (1) ; KONG C. (1) ; LI J. (2) ; ZHANG L. (2) ;
(1) School of Computer, China Univ. Of Geosciences, Wuhan, CHINE
(2) Fac. of Earth Resources, China Univ. of Geosciences, Wuhan, CHINE


Using geo-environmental factors and the land use status of Hangzhou, China, a back-propagation (BP) neural network model for the evaluation of the geo-environmental suitability of land for urban construction was established with a geographic information system (GIS) and techniques of grid, geospatial, and BP neural network analysis. Four factor groups, comprising 9 separate subfactors of geo-environmental features, were selected for the model : geomorphic type, slope, site soil type, stratum steadiness, Holocene saturated soft soil depth, groundwater abundance, groundwater salinization, geologic hazard type, and geologic hazard degree. With the support of the model, the geo-environmental suitability of Hangzhou land for urban construction was divided into 4 suitability zones


Article of periodic

published at : Physical geography / ISSN 0272-3646

Editor : Taylor & Francis, Abingdon - ROYAUME-UNI (1980)

Millesime : 2012, vol. 33, no5 [pp. 457-472]

Bibliographic references : 39 ref.

Collation : 3 fig., 2 tabl.



INIST-CNRS, Cote INIST : 20106

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.2747/0272-3646.33.5.457

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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