Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment

International audience Change in the dispersion pattern of Arctic river plumes due to climate change and hydroelectric regulation is challenging to monitor, calling for synoptic and continuous observation using satellite remote sensing. Algorithms for colored dissolved organic matter (CDOM) and tota...

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Published in:Elementa: Science of the Anthropocene
Main Authors: Basu, Atreya, Mccullough, Greg, Bélanger, Simon, Mukhopadhyay, Anirban, Doxaran, David, Sydor, Kevin, Barber, David, Ehn, Jens
Other Authors: Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2023
Subjects:
TSS
Online Access:https://hal.science/hal-04007582
https://hal.science/hal-04007582/document
https://hal.science/hal-04007582/file/Atreya_et_al_2023.pdf
https://doi.org/10.1525/elementa.2022.00076
id ftunivnantes:oai:HAL:hal-04007582v1
record_format openpolar
spelling ftunivnantes:oai:HAL:hal-04007582v1 2023-05-15T15:16:00+02:00 Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment Basu, Atreya Mccullough, Greg Bélanger, Simon Mukhopadhyay, Anirban Doxaran, David Sydor, Kevin Barber, David Ehn, Jens Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2023-02-28 https://hal.science/hal-04007582 https://hal.science/hal-04007582/document https://hal.science/hal-04007582/file/Atreya_et_al_2023.pdf https://doi.org/10.1525/elementa.2022.00076 en eng HAL CCSD University of California Press info:eu-repo/semantics/altIdentifier/doi/10.1525/elementa.2022.00076 hal-04007582 https://hal.science/hal-04007582 https://hal.science/hal-04007582/document https://hal.science/hal-04007582/file/Atreya_et_al_2023.pdf doi:10.1525/elementa.2022.00076 info:eu-repo/semantics/OpenAccess EISSN: 2325-1026 Elementa: Science of the Anthropocene https://hal.science/hal-04007582 Elementa: Science of the Anthropocene, 2023, 11, ⟨10.1525/elementa.2022.00076⟩ River discharge River plume dispersion CDOM TSS Ocean color remote sensing Hudson Bay River discharge River plume dispersion CDOM TSS Ocean color remote sensing Hudson Bay [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftunivnantes https://doi.org/10.1525/elementa.2022.00076 2023-03-08T00:46:19Z International audience Change in the dispersion pattern of Arctic river plumes due to climate change and hydroelectric regulation is challenging to monitor, calling for synoptic and continuous observation using satellite remote sensing. Algorithms for colored dissolved organic matter (CDOM) and total suspended solids (TSS) were applied to moderate resolution imaging spectroradiometer (MODIS) imagery to study Nelson and Hayes river plume dispersion into southwestern Hudson Bay, employing quantile regressions to capture dispersion variability along a freshwater-marine gradient. MODIS-derived CDOM and TSS quantile concentrations (Q 0.05-Q 0.95) decreased exponentially with distance from the Nelson River mouth. The Q 0.95 asymptote marked the offshore extent of the river plume and was used to determine the marine and river water fractions of surface water in southwestern Hudson Bay. At about 125 km from the Nelson River mouth, CDOM was reduced by 75% of its river mouth values. Owing to the significant co-variability between CDOM dilution and river discharge, a 0.25 river water fraction was estimated at this distance, which varied by ±35 km during flood and ebb flows. Anti-cyclonic winds transported the river plume along the 54 azimuth towards central Hudson Bay, while cyclonic winds propagated the plume eastward along the south shore. Particle settling in the coastal waters and resuspension events from mudflats and/or bank erosion caused non-significant relationships between TSS and river discharge. This non-conservative behavior renders TSS a less useful optical tracer of Nelson and Hayes river water in southwestern Hudson Bay. The novel quantile regression approach for defining boundaries of river water dilution in transitional waters may provide helpful information for coastal management on a spatial scale of tens to hundreds of kilometers, ranging from near real-time monitoring to seasonal and multi-year studies. Article in Journal/Newspaper Arctic Climate change Hudson Bay Université de Nantes: HAL-UNIV-NANTES Arctic Bay River ENVELOPE(-81.662,-81.662,78.882,78.882) Hayes ENVELOPE(-64.167,-64.167,-66.833,-66.833) Hudson Hudson Bay Elementa: Science of the Anthropocene 11 1
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic River discharge River plume dispersion CDOM TSS Ocean color remote sensing Hudson Bay
River discharge
River plume dispersion
CDOM
TSS
Ocean color remote sensing
Hudson Bay
[SDE]Environmental Sciences
spellingShingle River discharge River plume dispersion CDOM TSS Ocean color remote sensing Hudson Bay
River discharge
River plume dispersion
CDOM
TSS
Ocean color remote sensing
Hudson Bay
[SDE]Environmental Sciences
Basu, Atreya
Mccullough, Greg
Bélanger, Simon
Mukhopadhyay, Anirban
Doxaran, David
Sydor, Kevin
Barber, David
Ehn, Jens
Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
topic_facet River discharge River plume dispersion CDOM TSS Ocean color remote sensing Hudson Bay
River discharge
River plume dispersion
CDOM
TSS
Ocean color remote sensing
Hudson Bay
[SDE]Environmental Sciences
description International audience Change in the dispersion pattern of Arctic river plumes due to climate change and hydroelectric regulation is challenging to monitor, calling for synoptic and continuous observation using satellite remote sensing. Algorithms for colored dissolved organic matter (CDOM) and total suspended solids (TSS) were applied to moderate resolution imaging spectroradiometer (MODIS) imagery to study Nelson and Hayes river plume dispersion into southwestern Hudson Bay, employing quantile regressions to capture dispersion variability along a freshwater-marine gradient. MODIS-derived CDOM and TSS quantile concentrations (Q 0.05-Q 0.95) decreased exponentially with distance from the Nelson River mouth. The Q 0.95 asymptote marked the offshore extent of the river plume and was used to determine the marine and river water fractions of surface water in southwestern Hudson Bay. At about 125 km from the Nelson River mouth, CDOM was reduced by 75% of its river mouth values. Owing to the significant co-variability between CDOM dilution and river discharge, a 0.25 river water fraction was estimated at this distance, which varied by ±35 km during flood and ebb flows. Anti-cyclonic winds transported the river plume along the 54 azimuth towards central Hudson Bay, while cyclonic winds propagated the plume eastward along the south shore. Particle settling in the coastal waters and resuspension events from mudflats and/or bank erosion caused non-significant relationships between TSS and river discharge. This non-conservative behavior renders TSS a less useful optical tracer of Nelson and Hayes river water in southwestern Hudson Bay. The novel quantile regression approach for defining boundaries of river water dilution in transitional waters may provide helpful information for coastal management on a spatial scale of tens to hundreds of kilometers, ranging from near real-time monitoring to seasonal and multi-year studies.
author2 Laboratoire d'océanographie de Villefranche (LOV)
Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Basu, Atreya
Mccullough, Greg
Bélanger, Simon
Mukhopadhyay, Anirban
Doxaran, David
Sydor, Kevin
Barber, David
Ehn, Jens
author_facet Basu, Atreya
Mccullough, Greg
Bélanger, Simon
Mukhopadhyay, Anirban
Doxaran, David
Sydor, Kevin
Barber, David
Ehn, Jens
author_sort Basu, Atreya
title Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
title_short Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
title_full Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
title_fullStr Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
title_full_unstemmed Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment
title_sort plume dispersion from the nelson and hayes rivers into hudson bay using satellite remote sensing of cdom and suspended sediment
publisher HAL CCSD
publishDate 2023
url https://hal.science/hal-04007582
https://hal.science/hal-04007582/document
https://hal.science/hal-04007582/file/Atreya_et_al_2023.pdf
https://doi.org/10.1525/elementa.2022.00076
long_lat ENVELOPE(-81.662,-81.662,78.882,78.882)
ENVELOPE(-64.167,-64.167,-66.833,-66.833)
geographic Arctic
Bay River
Hayes
Hudson
Hudson Bay
geographic_facet Arctic
Bay River
Hayes
Hudson
Hudson Bay
genre Arctic
Climate change
Hudson Bay
genre_facet Arctic
Climate change
Hudson Bay
op_source EISSN: 2325-1026
Elementa: Science of the Anthropocene
https://hal.science/hal-04007582
Elementa: Science of the Anthropocene, 2023, 11, ⟨10.1525/elementa.2022.00076⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1525/elementa.2022.00076
hal-04007582
https://hal.science/hal-04007582
https://hal.science/hal-04007582/document
https://hal.science/hal-04007582/file/Atreya_et_al_2023.pdf
doi:10.1525/elementa.2022.00076
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1525/elementa.2022.00076
container_title Elementa: Science of the Anthropocene
container_volume 11
container_issue 1
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