I am researching rainfall-triggered and shallow landslide modeling through coupled hydrological-stability models. Within Prof. Bras’ group, I have been collaborating to develop the tool and modeling the landslide hazard across the Mameyes Basin.
Integration of fuzzy logic and image analysis for the detection of gullies in the Calhoun Critical Zone Observatory using airborne LiDAR data. Noto, L. V., S. Bastola, Y. G. Dialynas, E. Arnone, and R. L. Bras (2017): ISPRS Journal of Photogrammetry and Remote Sensing 126: 209-224
Accounting for Soils Parameter Uncertainty in a Physically-Based and Distributed Approach for Rainfall-Triggered Landslides. Arnone, E., Y. G. Dialynas, L. V. Noto, and R. L. Bras (2016): Hydrological Processes 30(6): 927-944
Impact of hydrologically driven hillslope erosion and landslide occurrence on soil organic carbon dynamics in tropical watersheds. Dialynas,Y.G., Bastola, S., Bras, R.L., Marin-Spiotta, E., Silver, W.L., Arnone, E., and Noto, L.V. (2016): Water Resources Research 52(11): 8895-8919 Cross-CZO
Parameter Uncertainty in Shallow Rainfall-Triggered Landslide Modeling at Basin Scale: a Probabilistic Approach. Arnone, E., Y. G. Dialynas, L. V. Noto, and R. L. Bras (2014): Procedia Earth and Planetary Science 9: 101-111
Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest, Puerto Rico. C. Lepore, E. Arnone, L. V. Noto, G. Sivandran, R.L. Bras (2013): Hydrol. Earth Syst. Sci.
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Watershed Hydrologic modeling. Elisa Arnone (2014): All-hands Meeting of the Luquillo Critical Zone Observatory, Luquillo, PR.