Brunetti Maria Teresa, Gariano Stefano Luigi, Melillo Massimo, Rossi Mauro, Peruccacci Silvia
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy.
Sci Data. 2025 Feb 5;12(1):216. doi: 10.1038/s41597-025-04551-6.
With the increasing use of data-driven landslide prediction models also based on artificial intelligence, the availability of accurate information on the occurrence of landslides and the rigorous reconstruction of their triggering rainfall conditions are crucial. To this end, an enhanced rainfall-induced landslide catalogue, e-ITALICA, is presented here. e-ITALICA contains spatial and temporal information on 6312 rainfall-induced landslides that occurred in Italy between 1996 and 2021 (already listed in the previous ITALICA catalogue published in 2023), with the addition of their rainfall triggering conditions in terms of rainfall duration D (h) and cumulative event rainfall E (mm). The triggering conditions are calculated using hourly rainfall measurements from 4033 rain gauges and applying a rigorous and reproducible method. In addition, topographic and land cover information is also provided. e-ITALICA can be used to analyse rainfall conditions capable of triggering landslides, to calibrate and validate physically based landslide prediction models, and to define empirical rainfall thresholds from local to national scales in Italy, thus contributing to landslide risk reduction.
随着越来越多地使用基于人工智能的数据驱动型山体滑坡预测模型，获取有关山体滑坡发生的准确信息以及对其触发降雨条件进行严格重建至关重要。为此，本文提出了一个增强型降雨诱发山体滑坡目录，即e - ITALICA。e - ITALICA包含了1996年至2021年期间在意大利发生的6312起降雨诱发山体滑坡的时空信息（已列入2023年发布的前ITALICA目录），并补充了降雨持续时间D（小时）和降雨事件累积降雨量E（毫米）方面的降雨触发条件。触发条件是使用来自4033个雨量计的每小时降雨测量数据，并采用严格且可重复的方法计算得出的。此外，还提供了地形和土地覆盖信息。e - ITALICA可用于分析能够触发山体滑坡的降雨条件，校准和验证基于物理的山体滑坡预测模型，以及在意大利从地方到国家尺度定义经验降雨阈值，从而有助于降低山体滑坡风险。
