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Abstract
Suspended sediment concentration (SSC) rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan, U.S.A., were developed based on measured data. The slopes of the atsite SSC rating curves were of two general types: either increasing or decreasing with increasing discharges. By examining the basin characteristics and flow patterns, streams with negative SSC rating curve slopes were associated with groundwater-dominated streams and those with positive slope terms were associated with surface-water dominated streams. A panel regression with fixed-effects analysis was applied to the pooled atsite data according to various grouping criteria. The results from the subgroups which considered groundwater and surface-water dominance, seasonality, and dam effects showed better fit than the at-site SSC rating curves did. It was assumed that the rating curve slopes for sites in each subgroup were the same but their intercepts varied from site to site. The groundwater and surface-water dominance division was used as the basis for estimating SSC at ungaged sites. The study was conducted as a component of hydrodynamic modeling under the Enbridge Line 6B pipeline oil-spill recovery activities.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Preliminary analysis of suspended sediment rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan |
| Year Published | 2015 |
| Language | English |
| Contributing office(s) | Illinois Water Science Center |
| Description | 12 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Proceedings of the Joint Federal Interagency Conference 2015 |
| First page | 1246 |
| Last page | 1257 |
| Conference Title | 10th Federal Interagency Sedimentation Conference, 5th Federal Interagnecy Hydrologic Modeling Conference |
| Conference Location | Reno, NV |
| Conference Date | April 19-23, 2015 |
| Google Analytic Metrics | Metrics page |