Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska

ALWAS is a relatively inexpensive, free-floating, sail-powered or jet-driven water quality measuring and watershed evaluation buoy. It is capable of measuring a data point with multiple parameters as rapidly as every 40 seconds. Data is transmitted for real-time viewing and is stored for future retr...

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Main Authors: Shuchman, Robert A., Meadows, Guy, Payne, John, Jenkins, Liza K.
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 2007
Subjects:
Online Access:https://digitalcommons.mtu.edu/mtri_p/157
http://arctic.aaas.org/meetings/2007/2007_aaas_abstract_book.pdf
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spelling ftmichigantuniv:oai:digitalcommons.mtu.edu:mtri_p-1354 2024-09-15T18:07:34+00:00 Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska Shuchman, Robert A. Meadows, Guy Payne, John Jenkins, Liza K. 2007-01-01T08:00:00Z https://digitalcommons.mtu.edu/mtri_p/157 http://arctic.aaas.org/meetings/2007/2007_aaas_abstract_book.pdf unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/mtri_p/157 http://arctic.aaas.org/meetings/2007/2007_aaas_abstract_book.pdf Michigan Tech Research Institute Publications Physical Sciences and Mathematics text 2007 ftmichigantuniv 2024-08-06T03:32:38Z ALWAS is a relatively inexpensive, free-floating, sail-powered or jet-driven water quality measuring and watershed evaluation buoy. It is capable of measuring a data point with multiple parameters as rapidly as every 40 seconds. Data is transmitted for real-time viewing and is stored for future retrieval and analysis. The stored data is easily downloaded into geographic database (ESRI shapefile) and spreadsheet formats. ALWAS uses state-of-the-art sensors to measure water quality parameters and GPS data. The buoys presently measures depth, temperature, conductivity, salinity, total dissolved solids, dissolved oxygen, pH, oxidation-reduction potential, turbidity, chlorophyll-a, blue-green algae, nitrates, ammonium, and chlorides. In a collaborative effort, the Michigan Tech Research Institute, the University of Michigan College of Engineering Marine Hydrodynamic Lab, the Bureau of Land Management, the Department of Energy, ConocoPhillips and the North Slope Science Initiative have demonstrated the ability of ALWAS to easily and thoroughly sample Alaskan North Slope lakes. The system provides a cost-effective means for local, state and federal agencies, as well as industry and academic institutions, to assess water quality on the North Slope. The buoy has also been used at the Bering Glacier to assess the status of ice marginal lakes. This presentation will summarize these field observations and will describe the ALWAS buoy. Text glacier north slope Alaska Michigan Technological University: Digital Commons @ Michigan Tech
institution Open Polar
collection Michigan Technological University: Digital Commons @ Michigan Tech
op_collection_id ftmichigantuniv
language unknown
topic Physical Sciences and Mathematics
spellingShingle Physical Sciences and Mathematics
Shuchman, Robert A.
Meadows, Guy
Payne, John
Jenkins, Liza K.
Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
topic_facet Physical Sciences and Mathematics
description ALWAS is a relatively inexpensive, free-floating, sail-powered or jet-driven water quality measuring and watershed evaluation buoy. It is capable of measuring a data point with multiple parameters as rapidly as every 40 seconds. Data is transmitted for real-time viewing and is stored for future retrieval and analysis. The stored data is easily downloaded into geographic database (ESRI shapefile) and spreadsheet formats. ALWAS uses state-of-the-art sensors to measure water quality parameters and GPS data. The buoys presently measures depth, temperature, conductivity, salinity, total dissolved solids, dissolved oxygen, pH, oxidation-reduction potential, turbidity, chlorophyll-a, blue-green algae, nitrates, ammonium, and chlorides. In a collaborative effort, the Michigan Tech Research Institute, the University of Michigan College of Engineering Marine Hydrodynamic Lab, the Bureau of Land Management, the Department of Energy, ConocoPhillips and the North Slope Science Initiative have demonstrated the ability of ALWAS to easily and thoroughly sample Alaskan North Slope lakes. The system provides a cost-effective means for local, state and federal agencies, as well as industry and academic institutions, to assess water quality on the North Slope. The buoy has also been used at the Bering Glacier to assess the status of ice marginal lakes. This presentation will summarize these field observations and will describe the ALWAS buoy.
format Text
author Shuchman, Robert A.
Meadows, Guy
Payne, John
Jenkins, Liza K.
author_facet Shuchman, Robert A.
Meadows, Guy
Payne, John
Jenkins, Liza K.
author_sort Shuchman, Robert A.
title Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
title_short Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
title_full Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
title_fullStr Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
title_full_unstemmed Automated lagrangian water-quality assessment system (ALWAS) measurements of North Slope lakes and the Bering Glacier, Alaska
title_sort automated lagrangian water-quality assessment system (alwas) measurements of north slope lakes and the bering glacier, alaska
publisher Digital Commons @ Michigan Tech
publishDate 2007
url https://digitalcommons.mtu.edu/mtri_p/157
http://arctic.aaas.org/meetings/2007/2007_aaas_abstract_book.pdf
genre glacier
north slope
Alaska
genre_facet glacier
north slope
Alaska
op_source Michigan Tech Research Institute Publications
op_relation https://digitalcommons.mtu.edu/mtri_p/157
http://arctic.aaas.org/meetings/2007/2007_aaas_abstract_book.pdf
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