Automated facies identification by Direct Push‐based sensing methods (CPT, HPT) and multivariate linear discriminant analysis to decipher geomorphological changes and storm surge impact on a medieval coastal landscape

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Abstract
<jats:title>Abstract</jats:title><jats:p>In<jats:sc>ad</jats:sc>1362, a major storm surge drowned wide areas of cultivated medieval marshland along the north‐western coast of Germany and turned them into tidal flats. This study presents a new methodological approach for the reconstruction of changing coastal landscapes developed from a study site in the Wadden Sea of North Frisia. Initially, we deciphered long‐term as well as event‐related short‐term geomorphological changes, using a geoscientific standard approach of vibracoring, analyses of sedimentary, geochemical and microfaunal palaeoenvironmental parameters and radiocarbon dating. In a next step, Direct Push (DP)‐based Cone Penetration Testing (CPT) and the Hydraulic Profiling Tool (HPT) were applied at vibracore locations to obtain<jats:italic>in situ</jats:italic>high‐resolution stratigraphic data. In a last step, multivariate linear discriminant analysis (LDA) was successfully applied to efficiently identify different sedimentary facies (e.g., fossil marsh or tidal flat deposits) from the CPT and HPT test dataset, to map the facies' lateral distribution, also in comparison to reflection seismic measurements and test their potential to interpolate the borehole and CPT/HPT data. The training dataset acquired for the key site from coring and DP sensing finally allows an automated facies classification of CPT/HPT data obtained elsewhere within the study area. The new methodological approach allowed a detailed reconstruction of the local coastal landscape development in the interplay of natural marsh formation, medieval land reclamation and storm surge‐related land losses.</jats:p>
Autoren
  • Hanna Hadler
  • Andreas Vött
  • Timo Willershäuser
  • Dennis Wilken
  • Ruth Blankenfeldt
  • Claus von Carnap‐Bornheim
  • Kurt Emde
  • Peter Fischer
  • Ulf Ickerodt
  • Stefanie Klooß
  • Bente Majchczack
  • Lea Obrocki
  • Wolfgang Rabbel
DOI
10.1002/esp.5232
eISSN
1096-9837
ISSN
0197-9337
Ausgabe der Veröffentlichung
15
Zeitschrift
Earth Surface Processes and Landforms
Sprache
en
Online publication date
2021
Paginierung
3228 - 3251
Datum der Veröffentlichung
2021
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1002/esp.5232
Datum der Datenerfassung
2023
Titel
Automated facies identification by Direct Push‐based sensing methods (CPT, HPT) and multivariate linear discriminant analysis to decipher geomorphological changes and storm surge impact on a medieval coastal landscape
Ausgabe der Zeitschrift
46

Datenquelle: Crossref

Andere Metadatenquellen:
Author's licence
CC-BY-NC
Autoren
  • Hanna Hadler
  • Andreas Vött
  • Timo Willershäuser
  • Dennis Wilken
  • Ruth Blankenfeldt
  • Claus von Carnap-Bornheim
  • Kurt Emde
  • Peter Fischer
  • Ulf Ickerodt
  • Stefanie Klooß
  • Bente Majchczack
  • Lea Obrocki
  • Wolfgang Rabbel
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • JGU-Publikationen
Resource version
Published version
DOI
10.1002/esp.5232
File(s) embargoed
false
Open access
true
ISSN
1096-9837
Ausgabe der Veröffentlichung
15
Zeitschrift
Earth surface processes and landforms
Schlüsselwörter
  • 550 Geowissenschaften
  • 550 Earth sciences
Sprache
eng
Open access status
Open Access
Paginierung
3228 - 3251
Datum der Veröffentlichung
2021
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/8051
Herausgeber
Wiley
Datum der Datenerfassung
2022
Datum, an dem der Datensatz öffentlich gemacht wurde
2022
Zugang
Public
Titel
Automated facies identification by Direct Push-based sensing methods (CPT, HPT) and multivariate linear discriminant analysis to decipher geomorphological changes and storm surge impact on a medieval coastal landscape
Ausgabe der Zeitschrift
46

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automated_facies_identificati-20221014165659090.pdf

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