Department of Earth Sciences, University of Florence, Via Giorgio La Pira, 4, 50121, Florence, Italy.
Department of Geosciences, University of Padova, Via G. Gradenigo, 6, 35131, Padua, Italy.
Sci Rep. 2022 Dec 1;12(1):20724. doi: 10.1038/s41598-022-23577-z.
Landslides are the most frequent and diffuse natural hazards in Italy causing the greatest number of fatalities and damage to urban areas. The integration of natural hazard information and social media data could improve warning systems to enhance the awareness of disaster managers and citizens about emergency events. The news about landslide events in newspapers or crowdsourcing platforms allows fast observation, surveying and classification. Currently, few studies have been produced on the combination of social media data and traditional sensors. This gap indicates that it is unclear how their integration can effectively provide emergency managers with appropriate knowledge. In this work, rainfall, human lives, and earmarked fund data sources were correlated to "landslide news". Analysis was applied to obtain information about temporal (2010-2019) and spatial (regional and warning hydrological zone scale) distribution. The temporal distribution of the data shows a continuous increase from 2015 until 2019 for both landslide and rainfall events. The number of people involved and the amount of earmarked funds do not exhibit any clear trend. The spatial distribution displays good correlation between "landslide news", traditional sensors (e.g., pluviometers) and possible effects in term of fatalities. In addition, the cost of soil protection, in monetary terms, indicates the effects of events.
滑坡是意大利最频繁和广泛的自然灾害，造成了城市地区最多的人员伤亡和损失。将自然危害信息和社交媒体数据相结合，可以改进预警系统，提高灾害管理人员和公民对紧急事件的认识。报纸或众包平台上有关滑坡事件的新闻可以进行快速观察、调查和分类。目前，很少有研究将社交媒体数据和传统传感器结合起来。这一差距表明，尚不清楚如何有效地将它们整合起来，为应急管理人员提供适当的知识。在这项工作中，降雨量、人命和专项资金数据源与“滑坡新闻”相关联。应用分析来获取有关时间（2010-2019 年）和空间（区域和预警水文区域尺度）分布的信息。数据的时间分布显示，滑坡和降雨事件的数量从 2015 年持续增加到 2019 年。涉及的人数和专项资金数额没有明显的趋势。空间分布显示了“滑坡新闻”与传统传感器（例如雨量计）之间的良好相关性，以及在人员伤亡方面的可能影响。此外，以货币形式表示的土壤保护成本表明了事件的影响。
