predictive mapping
Recently Published Documents


TOTAL DOCUMENTS

145
(FIVE YEARS 36)

H-INDEX

24
(FIVE YEARS 2)

2021 ◽  
pp. 111-122
Author(s):  
Catherine Barnett ◽  
Michael J. Grant ◽  
Jonathan Last ◽  
Sarah Orr
Keyword(s):  

Author(s):  
María J. Perles-Roselló ◽  
Santiago Pardo-García ◽  
Juan F. Sortino-Barrionuevo ◽  
Sergio Reyes-Corredera ◽  
Claudio Puglisi

This study addresses the peculiarities of the generation of slope movements in the context of road infrastructures and provide a predictive mapping of susceptibility to movements on slopes adjacent to road infrastructures (rockfalls). An inventory of slopes movements was mapped. From the development of the inventory of constant cases of mobilization that is used as a dependent variable, two statistical models can be obtained and compared for the same study area. One of them is based on the concept of frequency, whilst the other one is based on the application of a logistic regression. The results reveal the preponderant importance of lithology as a predictive variable, followed, at a considerable distance, by the slope gradient. Likewise, the importance of an unnatural and characteristic variable area of study, such as the presence of artificial cuts, is indicated as a causative factor. The results show a high degree of coincidence between the tendency of susceptibility predicted by the model, and the effective presence of empirical mobilization signs on the slopes, with Area Under Curve (AUC) values for Receiver Operating Characteristics (ROC) around 0.8.


Author(s):  
Maged M. Abutaha ◽  
Ahmed A. El‐Khouly ◽  
Norbert Jürgens ◽  
Jens Oldeland

2021 ◽  
Vol 595 ◽  
pp. 126026
Author(s):  
P. Martínez-Santos ◽  
H.F. Aristizábal ◽  
S. Díaz-Alcaide ◽  
V. Gómez-Escalonilla

Sign in / Sign up

Export Citation Format

Share Document