Contribution of subaqueous paleoseismology to paleoseismic datasets: Examples from the Euro-Mediterranean Region

Besides on-fault paleoseismic trenching techniques, subaqueous paleoseismology have been getting popular in the recent years to contribute paleoseismic data sets. In the regions having high-seismic activity and on-fault paleoseismic trenching is not applicable (e.g., blind reverse/trust faults and offshore faults), subaqueous paleoseismology becomes highly crucial. In moderate-seismicity regions, even though the earthquakes of M∼6 can cause significant damages and loss of life, they usually generate non-distinct surface ruptures, which again limit the application of on-fault trenching. Moreover, recent subaqueous (lacustrine and marine) sedimentary records can provide more precisely dated and longer paleoseismic data. However, sedimentary traces of past earthquakes in lacustrine and marine records can be very similar to the sedimentary events of climatic origin. For this reason, subaqueous paleoseismology needs temporal validation by using information from historical seismicity records and paleoseismic trenches. In this study, I present examples of subaqueous paleoseismological applications from EuroMediterranean region. The lacustrine sedimentary records from the central Europe (e.g., France and Switzerland), which is a low-moderate seismicity region, reveal short-to-moderate length paleoseismic records (i.e. 1000-3000 year long). The North Anatolian Fault (NAF) and the Dead Sea Fault (DSF) are the two main source of high seismic activity in Euro-Mediterranean region. Subaqueous paleoseismicity studies from the Marmara Sea and several lakes on the NAF provide short-to-moderate length paleoseismic records, while the studies from DSF can go ∼50 kyr back in time.


On multivariate longitudinal binary data models and thiir applications in forecasting
Asar, Özgür; İlk Dağ, Özlem; Department of Statistics (2012)
Longitudinal data arise when subjects are followed over time. This type of data is typically dependent, due to including repeated observations and this type of dependence is termed as within-subject dependence. Often the scientific interest is on multiple longitudinal measurements which introduce two additional types of associations, between-response and cross-response temporal dependencies. Only the statistical methods which take these association structures might yield reliable and valid statistical infer...
The effect of data set characteristics on the choice of clustering validity index type
Taşkaya Temizel, Tuğba; Inkaya, Tulin; Yucebas, Sait Can (2007-11-09)
Clustering techniques are widely used to give insight about the similarities/dissimilarities between data set items. Most algorithms require the user to tune parameters such as number of clusters or threshold for cut-off point in a dendrogram. Such parameters also affect the clustering quality. In a good quality cluster, the intra-cluster similarity should be high, whereas the inter-cluster similarity should be low. To determine the optimal cluster number, several cluster validity methods have been proposed...
Clustering of manifold-modeled data based on tangent space variations
Gökdoğan, Gökhan; Vural, Elif; Department of Electrical and Electronics Engineering (2017)
An important research topic of the recent years has been to understand and analyze data collections for clustering and classification applications. In many data analysis problems, the data sets at hand have an intrinsically low-dimensional structure and admit a manifold model. Most state-of-the-art clustering methods developed for data of non-linear and low-dimensional structure are based on local linearity assumptions. However, clustering algorithms based on locally linear representations can tolerate diff...
A photogrammetry based method for determination of 3D morphological indices of coarse aggregates
Öztürk, Hande Işık (Elsevier BV, 2020-11-30)
Over the last half-century, various image-based methods have been developed to quantify the morphological indices of aggregates. The majority of these methods rely on two-dimensional (2D) imaging for practical reasons, whereas a limited number of these use three-dimensional (3D) imaging. The focus of this study is to develop a practical and inexpensive 3D photogrammetry based method. In this study, 3D morphological indices and shape features of 57 aggregates from five sources are determined by the photogram...
Semantic concept recognition from structured and unstructured inputs within cyber security domain
Hoşsucu, Alp Gökhan; Baykal, Nazife; Department of Information Systems (2015)
Linked data initiative has been quite successful in terms of publishing and interlinking data over ontological structures. The success is due to answering semantically rich queries over highly structured data. The utilization of linked data structures are widely used in various domains to solve the problem of producing domain specific knowledge which can be interpreted by automated agents without any human interference. Cyber security field is one of the domains that suffer from the excessiveness of the raw...
Citation Formats
U. Avşar, “Contribution of subaqueous paleoseismology to paleoseismic datasets: Examples from the Euro-Mediterranean Region,” presented at the Alexander von Humboldt International Conference, (24 - 28 Mart 2014), Istanbul ,Turkey, 2014, Accessed: 00, 2021. [Online]. Available: