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Monitoring of earthquake precursors by multi-parameter stations in Eskisehir region (Turkey)
Authors:G Yuce  DY Ugurluoglu  N Adar  T Yalcin  C Yaltirak  T Streil  V Oeser
Institution:1. Eskisehir Osmangazi University, Department of Geological Engineering, 26480 Eskisehir, Turkey;2. Eskisehir Osmangazi University, Department of Computer Engineering, Eskisehir, Turkey;3. Istanbul Technical University, Faculty of Mines, 34469 Istanbul, Turkey;4. SARAD GmbH, Wiesbadener Str. 10, 01159 Dresden, Germany
Abstract:The objective of this study was to investigate the geochemical and hydrogeological effects of earthquakes on fluids in aquifers, particularly in a seismically active area such as Eskisehir (Turkey) where the Thrace–Eskisehir Fault Zone stretches over the region. The study area is also close to the North Anatolian Fault Zone generating devastating earthquakes such as the ones experienced in 1999, reactivating the Thrace–Eskisehir Fault. In the studied area, Rn and CO2 gas concentrations, redox potential, electrical conductivity, pH, water level, water temperature, and the climatic parameters were continuously measured in five stations for about a year. Based on the gathered data from the stations, some ambiguous anomalies in geochemical parameters and Rn concentration of groundwater were observed as precursors several days prior to an earthquake. According to the mid-term observations of this study, well-water level changes were found to be a good indicator for seismic estimations in the area, as it comprises naturally filtered anomalies reflecting only the changes due to earthquakes. Also, the results obtained from this study suggest that both the changes in well-water level and gas–water chemistry need to be interpretated together for more accurate estimations. Valid for the studied area, it can be said that shallow earthquakes with epicentral distances of <30 km from the observation stations have more influence on hydrochemical parameters of groundwater and well-water level changes. Although some hydrochemical anomalies were observed in the area, it requires further observations in order to be able to identify them as precursors.
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