Regionalization of the Upper Great Lakes with Respect to Surveillance Eutrophication Data

Kwiatkowski, R.E.

doi:10.1016/s0380-1330(80)72080-4

Cited by 5 publications

(12 citation statements)

References 7 publications

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“…Significant (p /> 0.01) temporal F(1) and spatial F(2) differences existed, with the temporal variability being much more pronounced (12 to 500 times) than the spatial variability. Similar findings were obtained by Kwiatkowski (1980) for Lake Superior, Lake Huron, and Georgian Bay-North Channel, and by E1-Shaarawi & Kwiatkowski (1977) for Lake Ontario. The zonations developed from the model, for each parameter studied, are given in Figs.…”

Section: Resultssupporting

confidence: 79%

“…2 gives the station locations. It should be noted that the 1971 and 1974 data referred to in this presentation were also collected by Canadian personnel using identical methodologies (Kwiatkows- Huron(1971 and1980) and Georgian Bay NorthChannel(1974). ki, 1980.…”

Section: Methodsmentioning

confidence: 99%

“…A hierarchical classification procedure using estimates of spatial effects is then applied to divide the lake into statistically homogeneous zones. Application of the model on a variety of biological and chemical parameters was done by E1-Shaarawi & Kwiatkowski (1977) for Lake Ontario, and by Kwiatkowski (1980) for the Upper Great Lakes (Superior, Huron and Georgian Bay-North Channel). In the present study, as in the previous study done by Kwiatkowski (1980), the model was used to establish zones which were significantly different from one another at the 10% level (p ~> 0.10).…”

Section: Methodsmentioning

confidence: 99%

“…Application of the model on a variety of biological and chemical parameters was done by E1-Shaarawi & Kwiatkowski (1977) for Lake Ontario, and by Kwiatkowski (1980) for the Upper Great Lakes (Superior, Huron and Georgian Bay-North Channel). In the present study, as in the previous study done by Kwiatkowski (1980), the model was used to establish zones which were significantly different from one another at the 10% level (p ~> 0.10). The 1980 data was compared to the 1974 (Georgian Bay) and 1971 (Lake Huron) data sets on a zone by zone, and on a whole lakes basis with a Student T test.…”

Section: Methodsmentioning

confidence: 99%

“…Statistical regions displaying spatial and temporal homogeneity were established for Lake Huron, and Georgian Bay-North Channel with the 1980 data set. The regions obtained were then compared to the 1971 Lake Huron and 1974 Georgian nel data (Kwiatkowski, 1980) to establish if any significant changes to the open waters had occurred.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of 1980 Lake Huron, Georgian Bay - North Channel surveillance data with historical data

Kwiatkowski¹

1984

Hydrobiologia

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A statistical regionalization procedure was used to delineate significantly (p t> 0.10) different areas, for a variety of surveillance parameters measured in 1980 in Lake Huron and Georgian Bay-North Channel. The analyses performed were compared with similar analyses done on 1971 (Lake Huron) and 1974 (Georgian Bay North Channel) data. The regions produced from the 1980 analyses compared favourably with the 1971 and 1974 analyses. Significant

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Section: Resultssupporting

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparison of 1980 Lake Huron, Georgian Bay - North Channel surveillance data with historical data

Kwiatkowski¹

1984

Hydrobiologia

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Using satellite observations to assess the spatial representativeness of the GLNPO water quality monitoring program

Lesht

Barbiero²,

Warren

2018

Journal of Great Lakes Research

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The U.S. EPA's Great Lakes National Program Office (GLNPO) annual water quality survey (WQS) collects data at a relatively small number of stations in each lake. The survey was designed to measure conditions in the open-water regions of the lakes where an assumption of spatial homogeneity was thought likely to be met and the measured variables could be characterized by simple statistics. Here we use satellite observations to assess how well statistics based on samples collected in the GLNPO sampling network represent the lake-wide values of two variables, surface chlorophyll concentration and Secchi depth. We find strong linear relationships between the mean values calculated from the samples and the corresponding averages based on the subsets of the full satellite images. Although overall the means of the values from the sample locations agree well with means calculated from most of the non-coastal regions of the lakes, in terms of water depth, the GLNPO station averages best represent the regions of Lake Huron deeper than 30 m, of Lakes Michigan and Superior deeper than 90 m, and of Lake Ontario deeper than 60 m. When the lake regions are defined by distance offshore rather than by depth, the GLNPO station chlorophyll means in Lakes Huron, Ontario, and Superior are closest to the means for the area of the lakes > 10 km offshore. In Lake Michigan the closest correspondence is with the > 20 km offshore region. On a whole-lake basis in Lake Erie the GLNPO station chlorophyll averages are closest to the average calculated from the entire lake.

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A brief history of the U.S. EPA Great Lakes National Program Office's water quality survey

Barbiero¹,

Lesht

Hinchey

et al. 2018

Journal of Great Lakes Research

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Regionalization of the Upper Great Lakes with Respect to Surveillance Eutrophication Data

Cited by 5 publications

References 7 publications

Comparison of 1980 Lake Huron, Georgian Bay - North Channel surveillance data with historical data

Comparison of 1980 Lake Huron, Georgian Bay - North Channel surveillance data with historical data

Using satellite observations to assess the spatial representativeness of the GLNPO water quality monitoring program

A brief history of the U.S. EPA Great Lakes National Program Office's water quality survey

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