Cargando…

Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data

Lakes are integrators of past climate and ecological change. This information is stored in the sediment record at the lake bottom, and to make it available for paleoclimate research, potential target sites with undisturbed and continuous sediment sequences need to be identified. Different geophysica...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoppenbrock, Johannes, Bücker, Matthias, Gallistl, Jakob, Flores Orozco, Adrián, de la Paz, Carlos Pita, García García, César Emilio, Razo Pérez, José Alberto, Buckel, Johannes, Pérez, Liseth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659577/
https://www.ncbi.nlm.nih.gov/pubmed/34884056
http://dx.doi.org/10.3390/s21238053
_version_ 1784612996170907648
author Hoppenbrock, Johannes
Bücker, Matthias
Gallistl, Jakob
Flores Orozco, Adrián
de la Paz, Carlos Pita
García García, César Emilio
Razo Pérez, José Alberto
Buckel, Johannes
Pérez, Liseth
author_facet Hoppenbrock, Johannes
Bücker, Matthias
Gallistl, Jakob
Flores Orozco, Adrián
de la Paz, Carlos Pita
García García, César Emilio
Razo Pérez, José Alberto
Buckel, Johannes
Pérez, Liseth
author_sort Hoppenbrock, Johannes
collection PubMed
description Lakes are integrators of past climate and ecological change. This information is stored in the sediment record at the lake bottom, and to make it available for paleoclimate research, potential target sites with undisturbed and continuous sediment sequences need to be identified. Different geophysical methods are suitable to identify, explore, and characterize sediment layers prior to sediment core recovery. Due to the high resolution, reflection seismic methods have become standard for this purpose. However, seismic measurements cannot always provide a comprehensive image of lake-bottom sediments, e.g., due to lacking seismic contrasts between geological units or high attenuation of seismic waves. Here, we developed and tested a complementary method based on water-borne electrical-resistivity tomography (ERT) measurements. Our setup consisted of 13 floating electrodes (at 5 m spacing) used to collect ERT data with a dipole–dipole configuration. We used a 1D inversion to adjust a layered-earth model, which facilitates the implementation of constraints on water depth, water resistivity, and sediment resistivity as a priori information. The first two parameters were readily obtained from the echo-sounder and conductivity-probe measurements. The resistivity of sediment samples can also be determined in the laboratory. We applied this approach to process ERT data collected on a lake in southern Mexico. The direct comparison of ERT data with reflection seismic data collected with a sub-bottom profiler (SBP) showed that we can significantly improve the sediment-thickness estimates compared to unconstrained 2D inversions. Down to water depths of 20 m, our sediment thickness estimates were close to the sediment thickness derived from collocated SBP seismograms. Our approach represents an implementation of ERT measurements on lakes and complements the standard lake-bottom exploration by reflection seismic methods.
format Online
Article
Text
id pubmed-8659577
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86595772021-12-10 Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data Hoppenbrock, Johannes Bücker, Matthias Gallistl, Jakob Flores Orozco, Adrián de la Paz, Carlos Pita García García, César Emilio Razo Pérez, José Alberto Buckel, Johannes Pérez, Liseth Sensors (Basel) Article Lakes are integrators of past climate and ecological change. This information is stored in the sediment record at the lake bottom, and to make it available for paleoclimate research, potential target sites with undisturbed and continuous sediment sequences need to be identified. Different geophysical methods are suitable to identify, explore, and characterize sediment layers prior to sediment core recovery. Due to the high resolution, reflection seismic methods have become standard for this purpose. However, seismic measurements cannot always provide a comprehensive image of lake-bottom sediments, e.g., due to lacking seismic contrasts between geological units or high attenuation of seismic waves. Here, we developed and tested a complementary method based on water-borne electrical-resistivity tomography (ERT) measurements. Our setup consisted of 13 floating electrodes (at 5 m spacing) used to collect ERT data with a dipole–dipole configuration. We used a 1D inversion to adjust a layered-earth model, which facilitates the implementation of constraints on water depth, water resistivity, and sediment resistivity as a priori information. The first two parameters were readily obtained from the echo-sounder and conductivity-probe measurements. The resistivity of sediment samples can also be determined in the laboratory. We applied this approach to process ERT data collected on a lake in southern Mexico. The direct comparison of ERT data with reflection seismic data collected with a sub-bottom profiler (SBP) showed that we can significantly improve the sediment-thickness estimates compared to unconstrained 2D inversions. Down to water depths of 20 m, our sediment thickness estimates were close to the sediment thickness derived from collocated SBP seismograms. Our approach represents an implementation of ERT measurements on lakes and complements the standard lake-bottom exploration by reflection seismic methods. MDPI 2021-12-02 /pmc/articles/PMC8659577/ /pubmed/34884056 http://dx.doi.org/10.3390/s21238053 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoppenbrock, Johannes
Bücker, Matthias
Gallistl, Jakob
Flores Orozco, Adrián
de la Paz, Carlos Pita
García García, César Emilio
Razo Pérez, José Alberto
Buckel, Johannes
Pérez, Liseth
Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title_full Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title_fullStr Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title_full_unstemmed Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title_short Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomography Data
title_sort evaluation of lake sediment thickness from water-borne electrical resistivity tomography data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659577/
https://www.ncbi.nlm.nih.gov/pubmed/34884056
http://dx.doi.org/10.3390/s21238053
work_keys_str_mv AT hoppenbrockjohannes evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT buckermatthias evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT gallistljakob evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT floresorozcoadrian evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT delapazcarlospita evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT garciagarciacesaremilio evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT razoperezjosealberto evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT buckeljohannes evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata
AT perezliseth evaluationoflakesedimentthicknessfromwaterborneelectricalresistivitytomographydata