Borehole logging and seismic data from Lake Ohrid (North Macedonia/Albania) as a basis for age-depth modelling over the last one million years
Borehole logging and seismic data from Lake Ohrid (North Macedonia/Albania) as a basis for age-depth modelling over the last one million years
复制标题
奥赫里德湖(北马其顿/阿尔巴尼亚)的钻孔测井和地震数据作为过去一百万年年龄深度建模的基础
DOI:
10.1016/j.quascirev.2021.107295
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发表时间:
2022
影响因子:
4
通讯作者:
Buness
中科院分区:
文献类型:
--
作者:
Ulfers;Zeeden;Wagner;Krastel;Buness
Robust age-depth models are essential for developing sophisticated interpretations of the sedimentological history in lake basins. In most cases, such models are created using an integrated geoscientific approach, including biostratigraphy, magnetostratigraphy and radiometric dating. In this study, we present an approach to construct age-depth models based on integrating downhole logging and seismic survey data when there are no samples available for dating. An example of this method is shown using data from Lake Ohrid (North Macedonia/Albania).First, we interpret seismic data and correlate downhole logging data from three sites - DEEP, Pestani and Cerava - to the LR04 benthic stack. We cross-check the resulting age-depth models using cyclostratigraphic methods, which deliver sedimentation rates that are on the same order of magnitude. The maximum age of the investigated sediments is based on lacustrine seismic marker horizons and is approximately 1 million years at DEEP/Pestani and 0.6 million years at Cerava.In the second step, we construct an artificial lithological log based on cluster analysis using the physical properties of the sediments and integrate it with the age-depth model. This allows an initial interpretation of the sedimentological history at Cerava and Pestani.Our methodological approach cannot substitute classical sediment core investigations, but we suggest that this two-step approach be applied to future projects of the International Continental Scientific Drilling Program. It can rapidly provide preliminary results on age and sediment type and is particularly useful when datable material is not available.
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影响因子:
64.8
作者:
B. Wagner;H. Vogel;A. Francke;T. Friedrich;T. Donders;J. Lacey;M. Leng;E. Regattieri;L. Sadori;T. Wilke;G. Zanchetta;C. Albrecht;A. Bertini;N. Combourieu-Nebout;A. Cvetkoska;B. Giaccio;A. Grazhdani;T. Hauffe;J. Holtvoeth;S. Joannin;E. Jovanovska;J. Just;K. Kouli;Ilias Kousis;A. Koutsodendris;S. Krastel;M. Lagos;N. Leicher;Z. Levkov;K. Lindhorst;A. Masi;M. Melles;A. Mercuri;S. Nomade;N. Nowaczyk;Konstantinos Panagiotopoulos;O. Peyron;J. Reed;L. Sagnotti;Gaia Sinopoli;Björn Stelbrink;R. Sulpizio;A. Timmermann;S. Tofilovska;P. Torri;F. Wagner-Cremer;T. Wonik;Xiaosen Zhang
通讯作者:
B. Wagner;H. Vogel;A. Francke;T. Friedrich;T. Donders;J. Lacey;M. Leng;E. Regattieri;L. Sadori;T. Wilke;G. Zanchetta;C. Albrecht;A. Bertini;N. Combourieu-Nebout;A. Cvetkoska;B. Giaccio;A. Grazhdani;T. Hauffe;J. Holtvoeth;S. Joannin;E. Jovanovska;J. Just;K. Kouli;Ilias Kousis;A. Koutsodendris;S. Krastel;M. Lagos;N. Leicher;Z. Levkov;K. Lindhorst;A. Masi;M. Melles;A. Mercuri;S. Nomade;N. Nowaczyk;Konstantinos Panagiotopoulos;O. Peyron;J. Reed;L. Sagnotti;Gaia Sinopoli;Björn Stelbrink;R. Sulpizio;A. Timmermann;S. Tofilovska;P. Torri;F. Wagner-Cremer;T. Wonik;Xiaosen Zhang
影响因子:
13.6
作者:
Wilke T;Hauffe T;Jovanovska E;Cvetkoska A;Donders T;Ekschmitt K;Francke A;Lacey JH;Levkov Z;Marshall CR;Neubauer TA;Silvestro D;Stelbrink B;Vogel H;Albrecht C;Holtvoeth J;Krastel S;Leicher N;Leng MJ;Lindhorst K;Masi A;Ognjanova-Rumenova N;Panagiotopoulos K;Reed JM;Sadori L;Tofilovska S;Van Bocxlaer B;Wagner-Cremer F;Wesselingh FP;Wolters V;Zanchetta G;Zhang X;Wagner B
通讯作者:
Wagner B
影响因子:
4
作者:
Anselmetti
通讯作者:
Anselmetti
影响因子:
1.2
作者:
J. Dawson;J. Keller;C. Nyamweru
通讯作者:
C. Nyamweru
影响因子:
4.3
作者:
Wagner B;Francke A;Sulpizio R;Zanchetta G;Lindhorst K;Krastel S;Vogel H;Rethemeyer J;Daut G;Grazhdani A;Lushaj B;Trajanovski S
通讯作者:
Trajanovski S