Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin
The Great Lakes-St. Lawrence River Basin contains approximately twenty percent of the world’s surface freshwater. The five Great Lakes (Superior, Michigan, Huron, Erie, and Ontario) provide drinking water for 24 million people and support industry, agriculture, and a world-class fishery and ecosyste...
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ftcityunivny:oai:academicworks.cuny.edu:cc_conf_hic-1092 2023-05-15T16:17:12+02:00 Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin Piskur, Michael Pearson, Becky 2014-08-01T07:00:00Z application/pdf https://academicworks.cuny.edu/cc_conf_hic/93 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1092&context=cc_conf_hic English eng CUNY Academic Works https://academicworks.cuny.edu/cc_conf_hic/93 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1092&context=cc_conf_hic International Conference on Hydroinformatics 2014 International Conference on Hydroinformatics HIC DSS for Water Resources and Quality Management Water resources management data sharing cross-border cooperation decision making R71 Water Resources and Economics I Environmental Sciences Physical Sciences and Mathematics Water Resource Management presentation 2014 ftcityunivny 2021-04-10T18:46:12Z The Great Lakes-St. Lawrence River Basin contains approximately twenty percent of the world’s surface freshwater. The five Great Lakes (Superior, Michigan, Huron, Erie, and Ontario) provide drinking water for 24 million people and support industry, agriculture, and a world-class fishery and ecosystem. The region includes parts of two nations, eight U.S. States and two Canadian Provinces, many Tribes and First Nations, thousands of municipalities and local governments, and a range of stakeholders. These various governments and partners work across borders to manage and protect the region’s water resources and share data and information through a legal and political framework that has evolved over several decades. The “Great Lakes Compact” and companion Agreement establish how each State and Province will enact laws to manage shared water resources, including water withdrawal criteria and water conservation and efficiency programs. This approach has earned national and international recognition for enabling the States and Provinces to achieve shared environmental goals within a flexible framework reflecting the region’s diverse history, geography, and political landscape. This approach has also lead to many policy innovations. Under the Compact and Agreement, the States and Provinces commit to gather and share comparable water use information to improve scientific understanding of the Basin’s waters, and to develop a collaborative strategy to strengthen the scientific basis for sound water management decision making. The States and Provinces report annual water use data for each lake watershed to a centralized, regional database. This data is used to improve decision making for water resource managers, policymakers, and water users through the development of annual water use reports, and compared against the Basin water budget in periodic cumulative impact assessments. The governance structure for this collaboration and its practical application to resource management serves as a model of cross-border data sharing and cooperation for other regions with shared water resources. Conference Object First Nations City University of New York: CUNY Academic Works Lawrence River ENVELOPE(-115.002,-115.002,58.384,58.384) |
institution |
Open Polar |
collection |
City University of New York: CUNY Academic Works |
op_collection_id |
ftcityunivny |
language |
English |
topic |
2014 International Conference on Hydroinformatics HIC DSS for Water Resources and Quality Management Water resources management data sharing cross-border cooperation decision making R71 Water Resources and Economics I Environmental Sciences Physical Sciences and Mathematics Water Resource Management |
spellingShingle |
2014 International Conference on Hydroinformatics HIC DSS for Water Resources and Quality Management Water resources management data sharing cross-border cooperation decision making R71 Water Resources and Economics I Environmental Sciences Physical Sciences and Mathematics Water Resource Management Piskur, Michael Pearson, Becky Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
topic_facet |
2014 International Conference on Hydroinformatics HIC DSS for Water Resources and Quality Management Water resources management data sharing cross-border cooperation decision making R71 Water Resources and Economics I Environmental Sciences Physical Sciences and Mathematics Water Resource Management |
description |
The Great Lakes-St. Lawrence River Basin contains approximately twenty percent of the world’s surface freshwater. The five Great Lakes (Superior, Michigan, Huron, Erie, and Ontario) provide drinking water for 24 million people and support industry, agriculture, and a world-class fishery and ecosystem. The region includes parts of two nations, eight U.S. States and two Canadian Provinces, many Tribes and First Nations, thousands of municipalities and local governments, and a range of stakeholders. These various governments and partners work across borders to manage and protect the region’s water resources and share data and information through a legal and political framework that has evolved over several decades. The “Great Lakes Compact” and companion Agreement establish how each State and Province will enact laws to manage shared water resources, including water withdrawal criteria and water conservation and efficiency programs. This approach has earned national and international recognition for enabling the States and Provinces to achieve shared environmental goals within a flexible framework reflecting the region’s diverse history, geography, and political landscape. This approach has also lead to many policy innovations. Under the Compact and Agreement, the States and Provinces commit to gather and share comparable water use information to improve scientific understanding of the Basin’s waters, and to develop a collaborative strategy to strengthen the scientific basis for sound water management decision making. The States and Provinces report annual water use data for each lake watershed to a centralized, regional database. This data is used to improve decision making for water resource managers, policymakers, and water users through the development of annual water use reports, and compared against the Basin water budget in periodic cumulative impact assessments. The governance structure for this collaboration and its practical application to resource management serves as a model of cross-border data sharing and cooperation for other regions with shared water resources. |
format |
Conference Object |
author |
Piskur, Michael Pearson, Becky |
author_facet |
Piskur, Michael Pearson, Becky |
author_sort |
Piskur, Michael |
title |
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
title_short |
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
title_full |
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
title_fullStr |
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
title_full_unstemmed |
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin |
title_sort |
data driving better decisions in the great lakes-st. lawrence river basin |
publisher |
CUNY Academic Works |
publishDate |
2014 |
url |
https://academicworks.cuny.edu/cc_conf_hic/93 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1092&context=cc_conf_hic |
long_lat |
ENVELOPE(-115.002,-115.002,58.384,58.384) |
geographic |
Lawrence River |
geographic_facet |
Lawrence River |
genre |
First Nations |
genre_facet |
First Nations |
op_source |
International Conference on Hydroinformatics |
op_relation |
https://academicworks.cuny.edu/cc_conf_hic/93 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1092&context=cc_conf_hic |
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1766003047587119104 |