Comparison among Spatial Interpolation Techniques Using a GIS Environment on a Long Observation Time Series
The complexity of retrieving rainfall observations, for back-analyses of precipitation-induced landslide case-histories or for the development of early warning systems is a crucial point and requires the adoption of approaches that could overwhelm the lack of data in the vicinity of the slope to investigate.Commonly, the criterion to define the reference rainfall for an investigated slope is to acquire data from the nearest available rain-gauge or meteorological station.Unfortunately, this choice often fails due to the high dependence of precipitation to physical and geographical features of the analysed area.A possible alternative approach consists on the application of spatial interpolation techniques to rainfall observed data, which allow to take into account the main features in the spatial rainfall distribution through physical, statistical and stochastic approaches.In the present work, the performances of such different approaches have been evaluated in a specific context interested by precipitation-induced landslides, using common hydrological indicators.
spatial interpolation early warning back analysis
Valeria Rillo Guido Rianna Luigi Cattaneo Paola Mercogliano Francesco Cotroneo
Centro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Impacts on Soil and Coasts Division, via Maiorise s.n.c., Italy
国际会议
World Landslide Forum 3(第三届世界滑坡论坛)
北京
英文
290-295
2014-06-02（万方平台首次上网日期，不代表论文的发表时间）