Landslide risk models for decision making. Bonachea,Jaime,Remondo,Juan,De Teran,Jose Ramon Diaz,Gonzalez-Diez, Alberto,Cendrero,Antonio. Risk Analysis . 2009Bonachea J, Remondo J, De Tera´n JRD, Gonzalez-Diez A, Cendrero A (2009) Landslide risk models for decision making. Risk Anal 29...
To this end, we propose a framework that bridges the gap between explainability and accuracy for landslide susceptibility models. This framework utilizes a hybrid of model extraction methods and feature-based methods to generate a fully interpretable additive ANN model while simultaneously pruning features...
A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran. Environ. Earth Sci. 80, 487. https://doi.org/10.1007/s12665-021-09788-z [69] Reichenbach, P., Busca, C., Mondini, A.C., Rossi, M., 2014. The ...
Interpretable machine learning models and decision-making mechanisms for landslide hazard assessment under different rainfall conditions Standard machine learning methods often fail to accurately and timely predict rainfall-induced landslides due to their limited consideration of rainfall and other triggering ...
et al. Risk evaluation of thaw settlement using machine learning models for the Wudaoliang-Tuotuohe region, Qinghai-Tibet Plateau. Catena, 2023. DOI:10.1016/j.catena.2022.106700 59. Moayedi, H., Ahmadi Dehrashid, A., Gholizadeh, M.H. A novel hybrid based on nature-inspired and Stochastic...
As a result, four landslide susceptibility models were developed. Four assessment metrics, namely area under curve (AUC), accuracy (ACC), precision (PRE), recall (SST), and F-measure (FM), were calculated for the test datasets at six grid resolutions....
Several related pre-event environment indices coupled with a 200-year event of Typhoon Morakot were used in this study to analyse landslide risk/scale for mapping and verifying the danger grade of watershed landslides. Risk analysis was modelled using maximum daily rainfall of the tested event as ...
Siddiqi N (2006) Credit risk scorecards developing and implementing intelligent credit scoring. Wiley Google Scholar Silva RF, Marques R, Gaspar JL (2018) Implications of landslide typology and predisposing factor combinations for probabilistic landslide susceptibility models: a case study in Lajedo Pa...
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J. Hydrol. 504, 69-79. [113] Tevi, G., Stoica, A., 2019. Multi-criteria GIS based methodology used for landslide vulnerability ...
Therefore, the obtained susceptibility map is suitable for application to landslide risk management practices. Keywords: Landslide susceptibility, Frequency ratio, C5.0 decision tree, K-means cluster, Classification, Risk management References [1] Achour, Y., Pourghasemi, H. R., 2020. How do ...