This dataset is part of a multi-scale assessment and classification for segments of 15 rivers of the Upper Midwest United States that meet various criteria for largeness. All rivers are tributary to the Mississippi River system. The 11,600 kilometers (km) that qualified as large were parsed into 10-kilometer-long segments and classified by major alterations (free-flowing, navigation pools, storage reservoir). The dataset also includes a statistically based, component classification based on the 10-km segments. Cluster analysis of hydrologic variables from 66 streamflow gaging stations yielded 5 clusters calculated from 5 ecohydrological metrics related to lateral connectivity with the floodplain. A separate cluster analysis of 5 geomorphologic variables associated with each of 1,172 river segments also yielded 5 clusters. When the hydrologic variables were associated with corresponding segments, the cluster analysis yielded 8 hydrogeomorphic clusters that can be explained in terms of their contribution to floodplain connectivity. Although the clusters overlap considerably in principal component space, the resulting hydrogeomorphic classification leads to a physically reasonable distribution of classes.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | Segment-scale classification, large rivers of the Upper Midwest United States |
| DOI | 10.5066/P9YGOKWZ |
| Authors | Robert B. Jacobson, Jason Rohweder |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Columbia Environmental Research Center |
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A hydrogeomorphic classification of connectivity of large rivers of the Upper Midwest, United States
River connectivity is defined as the water-mediated exchange of matter, energy, and biota between different elements of the riverine landscape. Connectivity is an especially important concept in large-river corridors (channel plus floodplain ) because large rivers integrate fluxes of water, sediment, nutrients, contaminants, and other transported constituents emanating from large contributing drai - Connect