Chlorophyll a and Inorganic Suspended Solids in Backwaters of the Upper Mississippi River System: Backwater Lake Effects and Their Associations With Selected Environmental Predictors

Abstract

The Long Term Resource Monitoring Program (LTRMP) uses a stratified random sampling design to obtain water quality statistics within selected study reaches of the Upper Mississippi River System (UMRS). LTRMP sampling strata are based on aquatic area types generally found in large rivers (e.g., main channel, side channel, backwater, and impounded areas). For hydrologically well-mixed strata (i.e., main channel), variance associated with spatial scales smaller than the strata scale is a relatively minor issue for many water quality parameters. However, analysis of LTRMP water quality data has shown that within-strata variability at the strata scale is high in off-channel areas (i.e., backwaters). A portion of that variability may be associated with differences among individual backwater lakes (i.e., small and large backwater regions separated by channels) that cumulatively make up the backwater stratum. The objective of the statistical modeling presented here is to determine if differences among backwater lakes account for a large portion of the variance observed in the backwater stratum for selected parameters. If variance associated with backwater lakes is high, then inclusion of backwater lake effects within statistical models is warranted. Further, lakes themselves may represent natural experimental units where associations of interest to management may be estimated.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA456247

Entities

People

  • Brian R. Gray
  • James T. Rogala

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Chlorophylls
  • Ecology
  • Electronic Mail
  • Geological Surveys
  • Information Operations
  • Information Systems
  • Mississippi
  • Mississippi River
  • Monitoring
  • Predictive Modeling
  • Rivers
  • Sampling
  • Statistical Sampling
  • Statistics
  • Water Quality

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Environmental Engineering
  • Hydraulic Engineering.