The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study
Ocean acidification will likely result in a drop of 0.3–0.4 pH units in the surface ocean by 2100, assuming anthropogenic CO2 emissions continue at the current rate. Impacts of increasing atmospheric pCO2 on pH in freshwater systems have scarcely been addressed. In this study, the Laurentian Great L...
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ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-22525 2023-05-15T17:51:17+02:00 The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study Phillips, Jennifer C. McKinley, Galen A. Bennington, Val Bootsma, Harvey A. Pilcher, Darren J. Sterner, Robert W. Urban, Noel 2015-10-02T07:00:00Z application/pdf https://digitalcommons.mtu.edu/michigantech-p/3223 https://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=22525&context=michigantech-p unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/3223 https://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=22525&context=michigantech-p http://creativecommons.org/licenses/by/4.0/ CC-BY Michigan Tech Publications Department of Civil Environmental and Geospatial Engineering Civil and Environmental Engineering text 2015 ftmichigantuniv 2022-01-23T10:43:22Z Ocean acidification will likely result in a drop of 0.3–0.4 pH units in the surface ocean by 2100, assuming anthropogenic CO2 emissions continue at the current rate. Impacts of increasing atmospheric pCO2 on pH in freshwater systems have scarcely been addressed. In this study, the Laurentian Great Lakes are used as a case study for the potential for CO2-induced acidification in freshwater systems as well as for assessment of the ability of current water quality monitoring to detect pH trends. If increasing atmospheric pCO2 is the only forcing, pH will decline in the Laurentian Great Lakes at the same rate and magnitude as the surface ocean through 2100. High-resolution numerical models and one high-resolution time series of data illustrate that the pH of the Great Lakes has significant spatio-temporal variability. Because of this variability, data from existing monitoring systems are insufficient to accurately resolve annual mean trends. Significant measurement uncertainty also impedes the ability to assess trends. To elucidate the effects of increasing atmospheric CO2 in the Great Lakes requires pH monitoring by collecting more accurate measurements with greater spatial and temporal coverage. Text Ocean acidification Michigan Technological University: Digital Commons @ Michigan Tech Oceanography 25 2 136 145 |
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Michigan Technological University: Digital Commons @ Michigan Tech |
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ftmichigantuniv |
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Department of Civil Environmental and Geospatial Engineering Civil and Environmental Engineering |
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Department of Civil Environmental and Geospatial Engineering Civil and Environmental Engineering Phillips, Jennifer C. McKinley, Galen A. Bennington, Val Bootsma, Harvey A. Pilcher, Darren J. Sterner, Robert W. Urban, Noel The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
topic_facet |
Department of Civil Environmental and Geospatial Engineering Civil and Environmental Engineering |
description |
Ocean acidification will likely result in a drop of 0.3–0.4 pH units in the surface ocean by 2100, assuming anthropogenic CO2 emissions continue at the current rate. Impacts of increasing atmospheric pCO2 on pH in freshwater systems have scarcely been addressed. In this study, the Laurentian Great Lakes are used as a case study for the potential for CO2-induced acidification in freshwater systems as well as for assessment of the ability of current water quality monitoring to detect pH trends. If increasing atmospheric pCO2 is the only forcing, pH will decline in the Laurentian Great Lakes at the same rate and magnitude as the surface ocean through 2100. High-resolution numerical models and one high-resolution time series of data illustrate that the pH of the Great Lakes has significant spatio-temporal variability. Because of this variability, data from existing monitoring systems are insufficient to accurately resolve annual mean trends. Significant measurement uncertainty also impedes the ability to assess trends. To elucidate the effects of increasing atmospheric CO2 in the Great Lakes requires pH monitoring by collecting more accurate measurements with greater spatial and temporal coverage. |
format |
Text |
author |
Phillips, Jennifer C. McKinley, Galen A. Bennington, Val Bootsma, Harvey A. Pilcher, Darren J. Sterner, Robert W. Urban, Noel |
author_facet |
Phillips, Jennifer C. McKinley, Galen A. Bennington, Val Bootsma, Harvey A. Pilcher, Darren J. Sterner, Robert W. Urban, Noel |
author_sort |
Phillips, Jennifer C. |
title |
The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
title_short |
The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
title_full |
The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
title_fullStr |
The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
title_full_unstemmed |
The potential for CO < inf> 2 -induced acidification in freshwater: A great lakes case study |
title_sort |
potential for co < inf> 2 -induced acidification in freshwater: a great lakes case study |
publisher |
Digital Commons @ Michigan Tech |
publishDate |
2015 |
url |
https://digitalcommons.mtu.edu/michigantech-p/3223 https://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=22525&context=michigantech-p |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
Michigan Tech Publications |
op_relation |
https://digitalcommons.mtu.edu/michigantech-p/3223 https://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=22525&context=michigantech-p |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
container_title |
Oceanography |
container_volume |
25 |
container_issue |
2 |
container_start_page |
136 |
op_container_end_page |
145 |
_version_ |
1766158385684676608 |