3:30 PM - 5:00 PM
[SVC28-P09] Auto-sampling of volcanic fluids: testcases at Canary Islands, Spain
Keywords:volcanic fluids, automated sampling, Canary Islands, carbon dioxide, groundwater
By improving the GOFAT of Ono et al. (2020), we built new types of GOFATs for water and gas samples based on laser engravers. The GOFAT for water sampling (GOFAT-W) is basically the same with Ono et al. (2020). Since gas samples should be collected into a vial with septum, the GOFAT for gas sampling (GOFAT-G) is equipped with a linear actuator connected to two syringe-needles welded together. This needle system connected to a pump via plastic tube is inserted into the vial with the linear movement of the actuator. The sample gas is then pumped into the vial for collection. The GOFAT-G automatically collect samples into 120 vials which are arranged horizontally and vertically at fixed time intervals.
We have been testing the two types of GOFAT at Canary Islands, Spain since Oct. 2022. The water samplings were carried out at two groundwater galleries (San Fernando and Fuente del Valle galleries in Tenerife) where solvent compositional changes were observed related to seismic activities increase at Teide volcano in Oct. 2016 (Amonte et al., 2021). Two GOFAT-W have been operated with high sampling rate of 3 samples/day or 1 sample/day.
The GOFAT-G has been operated at Puerto Naos village, La Palma Island. Although the village was not directly damaged by the lava flow of the 2021 eruption of the island, the residents were forced to evacuate the village due to significant volcanic CO2 emission started in Nov. 2021. The GOFAT-G is placed in a closed garage in Puerto Naos and has been sampling air whose CO2 concentration frequently exceed 4%. Here the auto sampling has been made since October 2022 with frequency of 4 times a day ( the sampling stopped in about two weeks due to the mechanical trouble but re-installed in Feb. 2023 with the frequency of twice a day). The auto samplings have provided important information especially at Puerto Naos to understand the nature of the high CO2 emission at the village related to volcanic phenomena. In our presentation we will show the results of auto-sampling and discuss the importance of frequent sampling in geochemical monitoring.