Geophysical and geochemical networks are routinely deployed on active volcanoes to observe and monitor unrest periods. However, changes of the physical parameters with time are related to either magma/fluid movement or variations occurring in the hydrothermal systems hosted in the volcanic edifice.

Here we use four years of ambient seismic noise recorded at the Stromboli volcano to reconstruct its shallow structure using the ambient noise cross-correlation method. At the same time, we detect temporal variations of the seismic velocities associated with the volcanic activity. We correlated the most reliable variations both in space and in time with other seismic and geochemical information in order to identify lapses of time of general unrest. We also implemented a method to enhance their spatial visualization for the interpretation. We found that the spatial mapping of the seismic velocity temporal variations obtained processing the data at high frequency (1.5–2.5 Hz) match with the location of the main hydrothermal reservoirs of the volcano.

This suggests that there is a relationship between volcanic activity and hydrothermal areas that can be detected and monitored for a better understanding of the volcanic phenomena.

地球物理和地球化学网络通常部署在活火山上，以观察和监测动荡时期。但是，物理参数随时间的变化与岩浆/流体运动或火山大厦内热液系统中发生的变化有关。

在这里，我们使用Stromboli火山记录的四年环境地震噪声，通过环境噪声互相关方法重建其浅层结构。同时，我们检测与火山活动相关的地震速度的时间变化。我们将空间和时间上最可靠的变化与其他地震和地球化学信息相关联，以识别普遍动荡的时间流逝。我们还实现了一种方法来增强其空间可视化以进行解释。我们发现，在高频（1.5-2.5 Hz）下处理数据所获得的地震速度时变的空间映射与火山的主要热液储层的位置相匹配。

这表明，可以更好地了解火山现象，可以检测和监测火山活动与热液区域之间的关系。