Lava flows are recurring and widespread hazards that affect areas around active volcanoes, having the potential to cause significant social and economic loss. The ongoing demographic congestion around volcanoes increases the potential risk and leads to a growing demand for faster and more accurate systems to safeguard the population. The main mitigation action for slowing down and possibly diverting lava flows is the building of artificial barriers, that can limit their destructive effects and reduce losses. Here we present a Particle Swarm Optimization algorithm for the configuration of artificial barriers, in terms of location and geometric features. The goal is minimizing the lava flow impact based on the spatial distribution of exposed elements, using the physics-based MAGFLOW model to run the lava flow scenarios for each barrier configuration. Our algorithm has been tested on Etna (Italy), showing how it can effectively safeguard the threatened areas, diverting lava away from them.

熔岩流是经常发生的且广泛的危害，影响活火山的周围地区，有可能造成重大的社会和经济损失。火山周围不断的人口拥堵增加了潜在的风险，并导致对更快，更准确的系统以保护人口的需求不断增长。减缓和可能使熔岩流转向的主要缓解措施是建造人工屏障，可以限制其破坏作用并减少损失。在这里，我们根据位置和几何特征，提出了一种用于人工屏障配置的粒子群优化算法。目标是使用基于物理的MAGFLOW模型为每种屏障配置运行熔岩流方案，以基于裸露元素的空间分布将熔岩流影响最小化。