New techniques for analyzing relationships between energy and water quality
Water quality data for 65 variables were obtained for the period 1955 to 1977 and aggregated on a county basis. Measurements were taken primarily in New England and the Middle Atlantic States. When a subset of 138 counties with complete data was used, it was found that county aggregation statistical...
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Brookhaven National Laboratory
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ftunivnotexas:info:ark/67531/metadc1088013 2023-05-15T17:34:15+02:00 New techniques for analyzing relationships between energy and water quality Kaplan, E. Thode, H.C. Jr. 1980-01-01 70 pages Text https://doi.org/10.2172/5513417 https://digital.library.unt.edu/ark:/67531/metadc1088013/ English eng Brookhaven National Laboratory rep-no: BNL-51068 grantno: EY-76-C-02-0016 doi:10.2172/5513417 osti: 5513417 https://digital.library.unt.edu/ark:/67531/metadc1088013/ ark: ark:/67531/metadc1088013 Populations Energy Demand Water Chemistry Environmental Effects Demand Data North Atlantic Region Graphs Human Populations Usa 520200* -- Environment Aquatic-- Chemicals Monitoring & Transport-- (-1989) Experimental Data Numerical Data Central Region Tables Statistics Data Forms Information Environmental Quality North America Water Quality 54 Environmental Sciences Mathematics Report 1980 ftunivnotexas https://doi.org/10.2172/5513417 2021-03-06T23:08:11Z Water quality data for 65 variables were obtained for the period 1955 to 1977 and aggregated on a county basis. Measurements were taken primarily in New England and the Middle Atlantic States. When a subset of 138 counties with complete data was used, it was found that county aggregation statistical procedures resulted in data still able to describe the chemical characteristics of natural waters. Energy and socioeconomic data were merged with water quality data for these 138 counties. The path analytic methodology used by geneticists was adapted for use with these combined data to investigate for potential interactions between energy-related activities and water quality. A path diagram was proposed to provide insight into the possible causal nature of these interrelations. Direct and indirect pathways from energy production and use were traced to three factors describing functional attributes of water: conductivity, hardness, and dissolved metallic ions. This analysis explained 25 to 40% of the variance in three water quality factors and indicated the applicability of this technique to regional assessments of water quality impacts due to many human activities. Report North Atlantic University of North Texas: UNT Digital Library |
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University of North Texas: UNT Digital Library |
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ftunivnotexas |
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English |
topic |
Populations Energy Demand Water Chemistry Environmental Effects Demand Data North Atlantic Region Graphs Human Populations Usa 520200* -- Environment Aquatic-- Chemicals Monitoring & Transport-- (-1989) Experimental Data Numerical Data Central Region Tables Statistics Data Forms Information Environmental Quality North America Water Quality 54 Environmental Sciences Mathematics |
spellingShingle |
Populations Energy Demand Water Chemistry Environmental Effects Demand Data North Atlantic Region Graphs Human Populations Usa 520200* -- Environment Aquatic-- Chemicals Monitoring & Transport-- (-1989) Experimental Data Numerical Data Central Region Tables Statistics Data Forms Information Environmental Quality North America Water Quality 54 Environmental Sciences Mathematics Kaplan, E. Thode, H.C. Jr. New techniques for analyzing relationships between energy and water quality |
topic_facet |
Populations Energy Demand Water Chemistry Environmental Effects Demand Data North Atlantic Region Graphs Human Populations Usa 520200* -- Environment Aquatic-- Chemicals Monitoring & Transport-- (-1989) Experimental Data Numerical Data Central Region Tables Statistics Data Forms Information Environmental Quality North America Water Quality 54 Environmental Sciences Mathematics |
description |
Water quality data for 65 variables were obtained for the period 1955 to 1977 and aggregated on a county basis. Measurements were taken primarily in New England and the Middle Atlantic States. When a subset of 138 counties with complete data was used, it was found that county aggregation statistical procedures resulted in data still able to describe the chemical characteristics of natural waters. Energy and socioeconomic data were merged with water quality data for these 138 counties. The path analytic methodology used by geneticists was adapted for use with these combined data to investigate for potential interactions between energy-related activities and water quality. A path diagram was proposed to provide insight into the possible causal nature of these interrelations. Direct and indirect pathways from energy production and use were traced to three factors describing functional attributes of water: conductivity, hardness, and dissolved metallic ions. This analysis explained 25 to 40% of the variance in three water quality factors and indicated the applicability of this technique to regional assessments of water quality impacts due to many human activities. |
format |
Report |
author |
Kaplan, E. Thode, H.C. Jr. |
author_facet |
Kaplan, E. Thode, H.C. Jr. |
author_sort |
Kaplan, E. |
title |
New techniques for analyzing relationships between energy and water quality |
title_short |
New techniques for analyzing relationships between energy and water quality |
title_full |
New techniques for analyzing relationships between energy and water quality |
title_fullStr |
New techniques for analyzing relationships between energy and water quality |
title_full_unstemmed |
New techniques for analyzing relationships between energy and water quality |
title_sort |
new techniques for analyzing relationships between energy and water quality |
publisher |
Brookhaven National Laboratory |
publishDate |
1980 |
url |
https://doi.org/10.2172/5513417 https://digital.library.unt.edu/ark:/67531/metadc1088013/ |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
rep-no: BNL-51068 grantno: EY-76-C-02-0016 doi:10.2172/5513417 osti: 5513417 https://digital.library.unt.edu/ark:/67531/metadc1088013/ ark: ark:/67531/metadc1088013 |
op_doi |
https://doi.org/10.2172/5513417 |
_version_ |
1766133012261502976 |