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  Using Fuzzy Logic for the Inference of the Holocene Land Uplift in the Hudson-Bay Region Based on Sea-Level Indicators

Klemann, V., Wolf, D. (2005): Using Fuzzy Logic for the Inference of the Holocene Land Uplift in the Hudson-Bay Region Based on Sea-Level Indicators, (EOS, Transactions, American Geophysical Union, Suppl.; 86 (52)), AGU 2005 Fall Meeting (San Francisco, USA).

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_233618 Version Permalink: -
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 Creators:
Klemann, Volker1, Author              
Wolf, D.2, Author
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, Author              
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, Author              
Gravity Field and Gravimetry -2009, Geoengineering Centres, GFZ Publication Database, Deutsches GeoForschungsZentrum, Author              
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1Deutsches GeoForschungsZentrum, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: 13.12. - 16.12.2005
 DDC: 550 - Earth sciences
 Abstract: The Holocene land uplift in regions of Pleistocene glaciation, such as Hudson Bay in Canada, is dominated by glacial-isostatic adjustment with quasi-exponential time dependence. To infer the decay time associated with the uplift, neighbouring sea-level indicators (SLIs) related to the relative sea-level (RSL) height during the Holocene are commonly grouped into a single RSL diagram assumed to be representative of the region considered. Usually, the nominal height and age of a particular SLI are the only characteristics used when determining the Holocene RSL height. However, only SLIs based on isolation basins yield a narrow range for this height, whereas SLIs based on fossil samples, such as shells, peats or drift wood, only allow the determination of an upper bound, a lower bound or a finite interval for it. To use also fossil samples objectively, we develop a classification scheme based on fuzzy logic. After the defintion of appropriate membership functions, this method leads to a more systematic interpretation of the large amount of SLIs available. We apply the scheme to SLIs from the Richmond Gulf region (SE Hudson Bay) near the Pleistocene glaciation center of Canada and derive a decay time of 5.8 ka for the exponential function best fitting the RSL diagram, and thus the Holocene land uplift, for this region.

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 Dates: 2005
 Publication Status: Finally published
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 Identifiers: eDoc: 8068
GFZPOF: 1.0 Globale Prozesse und Geomonitoring
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Title: AGU 2005 Fall Meeting (San Francisco, USA)
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Title: EOS, Transactions, American Geophysical Union, Suppl. ; 86 (52)
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