Distribution of Sediment Measurements in Lake Michigan as a Case Study: Implications for Estimating Sediment and Water Interactions in Eutrophication and Bioaccumulation Models ()
Affiliation(s)
1U.S. EPA, ORD, NHEERL, Mid-Continent Ecology Division, Large Lakes Research Station, Grosse Ile, Michigan, USA.
2CSC Corporation, Grosse Ile, Michigan, USA.
3U.S. Navy Research Laboratory, Geothermal Program Office, China Lake, California, USA.
ABSTRACT
Lake Michigan, the sixth largest freshwater
lake in the world by surface area, was utilized as a water body for assessment.
Field data collected at sampling sites throughout the lake in an intensive
monitoring effort were utilized for evaluation of the distribution of sediment
measurements. An assessment of sediment nutrient and carbon measurements within
Lake Michigan was completed to recognize strata resulting from the
hydrodynamics of the system. Nonparametric comparison tests revealed that significant
differences exist between measurements of sediment nutrients and organic carbon
in the lake using strata based upon water column depth (all results
demon-strated a p < 0.05, α = 0.05). Cross-validation analysis was applied
to the field-collected samples, revealing that large errors occur when estimating
sediment flux of carbon or nutrients at a given location in the lake without
considering stratification of the distributions of these measurements. Errors
in estimating sediment concentrations of nutrients and carbon specific to a
location in the lake demonstrated a statistically significant increase when
stratification of sediment measurements wasn’t employed among sites. For
example, distributions of errors in estimating all nutrients and organic carbon
concentrations, whereby distance squared inverse interpolation methods were
applied, demonstrated a statistically significant increase in absence of
stratification (all p < 0.001, α = 0.05). These results have implications
for characterization, monitoring, and modeling sediment and water interaction
as related to eutrophication, as well as to contaminant exposure and
bioaccumulation for chemicals within Lake Michigan and large water bodies where
stratification of the sediment based upon physics of the system exists.
Share and Cite:
Miller, D. , Xia, X. , Huang, W. and Rossmann, R. (2016) Distribution of Sediment Measurements in Lake Michigan as a Case Study: Implications for Estimating Sediment and Water Interactions in Eutrophication and Bioaccumulation Models.
Applied Mathematics,
7, 1846-1867. doi:
10.4236/am.2016.715153.