M.F. Cuesta, Juan Remondo Tejerina, Jaime Bonachea Pico, F.J. Barba
The municipality of Camargo (Cantabria) is frequently affected by cover collapse sinkholes, called locally soplaos, which produce significant economic losses and social concern. The work aims to develop tools to predict the areas prone to collapse, in order to reduce damages, as well as to improve our knowledge on these processes in a calcareous karst context. A data base has been constructed in a GIS, including the 88 inventoried collapses and 11 data layers representing the conditioning factors of the process. Several sinkhole susceptibility models have been produced by means of spatial data analysis techniques (favorability functions and simple spatial statistics) and using different variable combinations on the basis of principal component analysis. From the independent evaluation, all models show a good prediction capability when 5 or more variables are used. According to the results, sinkhole processes in the area are strongly related to the fluvial channels.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados