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Description: A comprehensive understanding of spatially variable sediment sources, transport, and retention processes of large watersheds is necessary to support the regional management of sediment in large rivers and estuaries like Chesapeake Bay. The watershed model SPARROW (SPAtially Referenced Regressions on Watershed attributes) was applied to spatially correlate estimated mean annual flux of suspended sediment in 129 nontidal streams with sources of suspended sediment and transport factors in nontidal streams and catchments of the Chesapeake Bay watershed and adjacent areas of southern Virginia and northern North Carolina. This dataset includes SPARROW model estimates of: (1) mean annual local (incremental), delivered, and total suspended-sediment flux and yiled from all modeled sources and each source individually (2) standard errors of prediction, and (3) a transport delivery factor for each transport reach.

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Description: A comprehensive understanding of spatially variable sediment sources, transport, and retention processes of large watersheds is necessary to support the regional management of sediment in large rivers and estuaries like Chesapeake Bay. The watershed model SPARROW (SPAtially Referenced Regressions on Watershed attributes) was applied to spatially correlate estimated mean annual flux of suspended sediment in 129 nontidal streams with sources of suspended sediment and transport factors in nontidal streams and catchments of the Chesapeake Bay watershed and adjacent areas of southern Virginia and northern North Carolina. This dataset includes SPARROW model estimates of: (1) mean annual local (incremental), delivered, and total suspended-sediment flux and yiled from all modeled sources and each source individually (2) standard errors of prediction, and (3) a transport delivery factor for each transport reach.

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