PDF(Pubmed)
Abstract：
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.
摘要：
滑坡是意大利最常见和最分散的自然灾害，对城市地区造成的死亡和破坏最多。自然灾害信息和社交媒体数据的整合可以改善预警系统，以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山体滑坡事件的新闻可以快速观察，测量和分类。目前,关于社交媒体数据和传统传感器的结合的研究很少。这一差距表明，目前尚不清楚他们的整合如何有效地为应急管理人员提供适当的知识。在这项工作中,降雨,人的生命,和专项资金数据来源与“滑坡新闻”相关。分析用于获取有关时间（2010-2019年）和空间（区域和预警水文区尺度）分布的信息。数据的时间分布显示，从2015年到2019年，滑坡和降雨事件均持续增加。涉及的人数和专用资金的数量没有任何明显的趋势。空间分布在“滑坡新闻”之间显示出良好的相关性，传统传感器(例如，pluviometers)和死亡人数方面的可能影响。此外,土壤保护的成本，在货币方面,表示事件的影响。
