Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.
Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici (NA), Italy.
Sensors (Basel). 2020 Apr 29;20(9):2538. doi: 10.3390/s20092538.
Large scale wildfire events that occurred around the world involved a massive loss of animal lives, with a consequent economic impact on agricultural holdings and damages to ecosystems. Preparing animals for a wildfire evacuation requires an extra level of planning, preparedness and coordination, which is missing in the current practice. This paper describes a conceptual framework of an ICT system implemented to support the activities of the Regional Veterinary referral Center for non-epidemic emergencies (CeRVEnE) in the Campania Region for the twofold objectives. On the one hand, it realizes the monitoring of the wooded areas under risk of fire in the so-called "Mount Vesuvius' red zone". On the other hand, it determines the timal vacuation oute for nimals () in case of fire, for each of the reported animal species living in the mentioned red zone. The main innovation of the proposed system lies in its software architecture that aims at integrating a Distributed Sensor Network (DSN), an ad-hoc software to generate timely simulations for fire risk modeling, and a GIS (Geographic Information System) for both the activities of web mapping and OPERA definition. This paper shows some effective preliminary results of the system implementation. The importance of the system mainly lies in its accordance with the so-called "Foresight approach" perspective, that provides models and tools to guarantee the prevention of systematic failure in disaster risk management, and becomes moreover critical in the case of Mount Vesuvius, which hosts a unique combination of both animal and anthropic elements within a delicate natural ecosystem.
世界各地发生的大规模野火事件导致了大量动物死亡,对农业企业造成了经济影响,并对生态系统造成了破坏。为动物进行野火疏散准备需要额外的规划、准备和协调水平,但目前的实践中缺乏这一点。本文描述了一个信息通信技术系统的概念框架,该系统是为坎帕尼亚地区的非传染病紧急情况区域兽医转诊中心(CeRVEnE)实施的,目的有两个。一方面,它实现了对所谓的“维苏威火山红色区域”内有火灾风险的林区的监测。另一方面,它确定了在发生火灾时,为生活在该红色区域内的每种报告动物物种制定动物疏散路线。该系统的主要创新在于其软件架构,旨在集成分布式传感器网络(DSN)、用于及时模拟火灾风险建模的特定软件,以及用于网络映射和 OPERA 定义活动的 GIS(地理信息系统)。本文展示了该系统实施的一些有效的初步结果。该系统的重要性主要在于它符合所谓的“远见方法”的观点,该方法提供了预防灾害风险管理中系统故障的模型和工具,并且在维苏威火山的情况下变得更加关键,因为它在一个脆弱的自然生态系统中同时容纳了动物和人类元素的独特组合。