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Authors: Marinaro, G.* 
Etiope, G.* 
Lo Bue, N.* 
Favali, P.* 
Papatheodorou, G.* 
Christodoulou, D.* 
Furlan, F.* 
Gasparoni, F.* 
Ferentinos, G.* 
Masson, M.* 
Rolin, J. F.* 
Title: Monitoring of a methane-seeping pockmark by cabled benthic observatory (Patras Gulf, Greece)
Journal: Geo-Mar Lett 
Series/Report no.: 5 / 26 (2006)
Publisher: Springer-Verlag
Issue Date: 2006
DOI: 10.1007/s00367-006-0040-4
Keywords: methane-seeping
Subject Classification03. Hydrosphere::03.04. Chemical and biological::03.04.05. Gases 
04. Solid Earth::04.04. Geology::04.04.04. Marine geology 
Abstract: A new seafloor observatory, the gas monitoring module (GMM), has been developed for continuous and long-term measurements of methane and hydrogen sulphide concentrations in seawater, integrated with temperature (T), pressure (P) and conductivity data at the seafloor. GMM was deployed in April 2004 within an active gas-bearing pockmark in the Gulf of Patras (Greece), at a water depth of 42 m. Through a submarine cable linked to an onshore station, it was possible to remotely check, via direct phone connection, GMM functioning and to receive data in nearreal time. Recordings were carried out in two consecutive campaigns over the periods April–July 2004, and September 2004–January 2005, amounting to a combined dataset of ca. 6.5 months. This represents the first long-term monitoring ever done on gas leakage from pockmarks by means of CH4+H2S+T+P sensors. The results show frequent T and P drops associated with gas peaks, more than 60 events in 6.5 months, likely due to intermittent, pulsation-like seepage. Decreases in temperature in the order of 0.1–1°C (up to 1.7°C) below an ambient T of ca. 17°C (annual average) were associated with short-lived pulses (10–60 min) of increased CH4+H2S concentrations. This seepage “pulsation” can either be an active process driven by pressure build-up in the pockmark sediments, or a passive fluid release due to hydrostatic pressure drops induced by bottom currents cascading into the pockmark depression. Redundancy and comparison of data from different sensors were fundamental to interpret subtle proxy signals of temperature and pressure which would not be understood using only one sensor.
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