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M. Moreno Zapata (Mateo)

Guest PhD Candidate

About Me

My research focuses on the field of natural hazards, particularly on landslide modeling. I'm currently working on the project "PROSLIDE - PRediction of ShallOw LandSLIDEs" in the province of South Tyrol, Italy.

Publications

Recent
Moreno, M. , Lombardo, L., Crespi, A., Zellner, P. J., Mair, V., Pittore, M. , van Westen, C. J., & Steger, S. (2024). Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy. Science of the total environment, 912(169166), 1-17. Article 169166. Advance online publication. https://doi.org/10.1016/j.scitotenv.2023.169166
Steger, S. , Moreno, M., Crespi, A., Zellner, P. J., Gariano, S. L., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., Kohrs, R., Goetz, J., Mair, V., & Pittore, M. (2023). Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models. Natural hazards and earth system sciences, 23(4), 1483-1506. https://doi.org/10.5194/nhess-23-1483-2023
Steger, S. , Moreno, M., Crespi, A., Gariano, S. L., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., Borga, M., Vugt, L. D., Zieher, T. , Rutzinger, M., Mair, V., Campalani, P., & Pittore, M. (2023). A data-driven approach to derive spatially explicit dynamic "thresholds" for shallow landslide occurrence in South Tyrol (Italy). Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-1353
Vugt, L. D., Zieher, T., Schneider-Muntau, B. , Moreno, M., Steger, S. , & Rutzinger, M. (2023). Improving the performance of a dynamic slope stability model (TRIGRS) with integrated spatio-temporal precipitation data. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-7845
Moreno, M., Steger, S. , Lombardo, L., Opitz, T., Crespi, A., Marra, F., Vugt, L. D., Zieher, T. , Rutzinger, M., Mair, V., Pittore, M. , & van Westen, C. (2023). Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy . Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-9538
Steger, S. , Moreno, M., Crespi, A., Zellner, P. J., Gariano, S. L., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., Kohrs, R., Goetz, J., Mair, V., & Pittore, M. (2022, Nov 17). Supplementary material to "Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models". https://doi.org/10.5194/nhess-2022-271-supplement
Pittore, M., Steger, S. , Moreno, M., Campalani, P., Renner, K., Villacis, C., Piñón, J., Pérez, E., Rosa, L. R. D. L., Achour, I., & Noel, E. (2022). Towards a quantitative spatiotemporal assessment of probabilistic landslide risk for large-area applications: challenges and perspectives. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-11082

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Affiliated Study Programmes

Master

Projects

PROSLIDE: Integration of static and dynamic landslide controls at multiple-scales using data-driven and physically-based methods – exploring new opportunities for the PRediction of shall Ow land SLIDEs

The overarching aim of PROSLIDE is to exploit the potential of innovative input data, available ground truth data and novel modelling designs (i.e. data-driven and physically-based) at different scales to improve the predictability of where and when landslides will occur. 

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

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