Marengo, J.A., Alcantara, E., Cunha, A.P., Seluchi, M., Nobre, C.A., Dolif, G., Goncalves, D., Dias, M.A., Cuartas, L.A., Bender, F., Ramos, A.M., Mantovani, J.R., Alvalá, R.C. and Moraes, O.L. (2023) Flash Floods and Landslides in the City of Recife, Northeast Brazil after Heavy Rain on May 25-28, 2022: Causes, Impacts, and Disaster Preparedness. Weather and Climate Extremes, 39, Article ID: 100545.
https://doi.org/10.1016/j.wace.2022.100545

has been cited by the following article:

• TITLE: Thresholds of Instability: Precipitation, Landslides, and Early Warning Systems in Brazil

  AUTHORS: Maiconn Vinicius de Moraes, Luana Albertani Pampuch, Cassiano Antonio Bortolozo, Tatiana Sussel Gonçalves Mendes, Marcio Roberto Magalhães de Andrade, Daniel Metodiev, Tristan Pryer

  KEYWORDS: Cluster Analysis, Landslides, Environmental Thresholds, Rainfall, Brazil

  JOURNAL NAME: International Journal of Geosciences, Vol.14 No.10, October 12, 2023

  ABSTRACT: Rainfall accumulation thresholds are crucial for issuing landslide warnings by identifying when soil saturation from rain could potentially trigger a landslide. Two essential types of thresholds are considered: environmental and operational. The environmental threshold indicates the minimum rainfall level required to potentially initiate a landslide. Conversely, the operational threshold is set lower to enable agencies to issue alerts before reaching environmental thresholds. Establishing these thresholds improves the accuracy of landslide predictions in terms of location and timing. This study introduces an innovative approach for determining these thresholds. Our approach employs cluster analysis and historical landslide data from the Metropolitan Region of Recife, Pernambuco State, Brazil. We applied our defined values to a significant landslide event in 2022, validating their robustness as the foundation for the operational threshold used by Cemaden, Brazil’s National Center for Monitoring and Early Warning of Natural Disasters.