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

Maiconn Vinicius de Moraes, Luana Albertani Pampuch, Cassiano Antonio Bortolozo, Tatiana Sussel Gonçalves Mendes, Marcio Roberto Magalhães de Andrade, Daniel Metodiev, Tristan Pryer
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引用次数: 1

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.
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不稳定的阈值:巴西的降水、滑坡和早期预警系统
降雨累积阈值对于发布滑坡预警至关重要,因为它可以识别降雨导致的土壤饱和何时可能引发滑坡。考虑了两种基本类型的阈值:环境和操作。环境阈值表示潜在引发滑坡所需的最低降雨量。相反,操作阈值设置较低,使机构能够在达到环境阈值之前发出警报。建立这些阈值可以提高滑坡预测在位置和时间方面的准确性。本研究介绍了一种确定这些阈值的创新方法。我们的方法采用聚类分析和巴西伯南布哥州累西腓大都会区的历史滑坡数据。我们将我们定义的值应用于2022年的一次重大滑坡事件,验证了它们作为巴西国家自然灾害监测和预警中心Cemaden使用的操作阈值基础的稳健性。
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