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Active-distributed temperature sensing dataset beneath a braided river

Braided rivers play a significant role in replenishing groundwater, but our understanding of how these recharge rates fluctuate over time remains limited. Traditional techniques for gauging groundwater recharge are ineffective for studying complex braided river systems due to their insufficient spat...

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Detalles Bibliográficos
Autores principales: Sai Louie, Alice J., Morgan, Leanne K., Banks, Eddie W., Dempsey, David, Wilson, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661649/
https://www.ncbi.nlm.nih.gov/pubmed/38020435
http://dx.doi.org/10.1016/j.dib.2023.109756
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author Sai Louie, Alice J.
Morgan, Leanne K.
Banks, Eddie W.
Dempsey, David
Wilson, Scott
author_facet Sai Louie, Alice J.
Morgan, Leanne K.
Banks, Eddie W.
Dempsey, David
Wilson, Scott
author_sort Sai Louie, Alice J.
collection PubMed
description Braided rivers play a significant role in replenishing groundwater, but our understanding of how these recharge rates fluctuate over time remains limited. Traditional techniques for gauging groundwater recharge are ineffective for studying complex braided river systems due to their insufficient spatiotemporal resolution. To address this gap, active-distributed temperature sensing (A-DTS) was used. This method combines fiber optic temperature measurements with an active heat source, enabling quantification of groundwater fluxes. In this study, twelve consecutive A-DTS surveys were conducted on a 100 m long hybrid fiber optic cable to a depth of 5 m beneath the Waikirikiri Selwyn River. This experiment was conducted during a period of relatively stable river stage and flow, highlighting the effectiveness of using A-DTS to measure temporal changes in groundwater recharge.
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spelling pubmed-106616492023-11-04 Active-distributed temperature sensing dataset beneath a braided river Sai Louie, Alice J. Morgan, Leanne K. Banks, Eddie W. Dempsey, David Wilson, Scott Data Brief Data Article Braided rivers play a significant role in replenishing groundwater, but our understanding of how these recharge rates fluctuate over time remains limited. Traditional techniques for gauging groundwater recharge are ineffective for studying complex braided river systems due to their insufficient spatiotemporal resolution. To address this gap, active-distributed temperature sensing (A-DTS) was used. This method combines fiber optic temperature measurements with an active heat source, enabling quantification of groundwater fluxes. In this study, twelve consecutive A-DTS surveys were conducted on a 100 m long hybrid fiber optic cable to a depth of 5 m beneath the Waikirikiri Selwyn River. This experiment was conducted during a period of relatively stable river stage and flow, highlighting the effectiveness of using A-DTS to measure temporal changes in groundwater recharge. Elsevier 2023-11-04 /pmc/articles/PMC10661649/ /pubmed/38020435 http://dx.doi.org/10.1016/j.dib.2023.109756 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Sai Louie, Alice J.
Morgan, Leanne K.
Banks, Eddie W.
Dempsey, David
Wilson, Scott
Active-distributed temperature sensing dataset beneath a braided river
title Active-distributed temperature sensing dataset beneath a braided river
title_full Active-distributed temperature sensing dataset beneath a braided river
title_fullStr Active-distributed temperature sensing dataset beneath a braided river
title_full_unstemmed Active-distributed temperature sensing dataset beneath a braided river
title_short Active-distributed temperature sensing dataset beneath a braided river
title_sort active-distributed temperature sensing dataset beneath a braided river
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661649/
https://www.ncbi.nlm.nih.gov/pubmed/38020435
http://dx.doi.org/10.1016/j.dib.2023.109756
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