UMRS Floodplain Inundation Model - Illinois River - Starved Rock Pool
Dates
Publication Date
2024-06-05
Time Period
2023-08-09
Citation
Van Appledorn, M., Rohweder, J.J., and De Jager, N.R., 2024, Floodplain Inundation Model and Inundation Depths: Upper Mississippi and Illinois Rivers: U.S. Geological Survey data release, https://doi.org/10.5066/P13BRXXJ.
Summary
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Summary
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
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Purpose
These data were developed to describe hydrologic conditions of non-aquatic areas in the Upper Mississippi River System when joined with appropriate hydrologic data. Examples of appropriate use include stratifying regional sampling efforts or monitoring programs, providing context for interpreting fine-scale studies of local inundation patterns, or development of floodplain functional classes using additional flood metrics.