Landslide susceptibility hazard map in southwest Sweden using artificial neural network

Publicerad 2019-10-31

Shahri, A.A., Spross, J., Johansson F. and Larsson, S. (2019) Landslide susceptibility hazard map in southwest Sweden using artificial neural network. Catena 183, December 2019, 104225 .

Landslides as major geo-hazards in Sweden adversely impact on nearby environments and socio-economics. In this paper, a landslide susceptibility map using a proposed subdivision approach for a large area in southwest Sweden has been produced. The map has been generated by means of an artificial neural network (ANN) model developed using fourteen causative factors extracted from topographic and geomorphologic, geological, land use, hydrology and hydrogeology characteristics.

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Senast ändrad: 2019-10-31