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Floodplain hydrostratigraphy from sedimentology, geophysics, and remote sensing

Creators: Malenda, H, Singha, KORCID, Randall, J
Year: 2022
DOI: 10.4211/hs.394a6900a0bd4911b642f9ba94046780
Location: Upper East River / Gunnison Basin, Colorado
Temporal extent: 2015-06-01 to 2017-10-01
Bounding box: 38.921°N to 38.924°N, -106.952°W to -106.946°W
Publisher: RMBL
Tags: lidar, remote sensing, Hydrofacies mapping, Hydraulic conductivity, Fluvial sedimentology, GPR, Plant Biology, Hydrology & Watersheds, Groundwater, Geology & Tectonics, Community Planning, Remote Sensing & Imagery, Gunnison Basin

Description

This file includes the data published in: Malenda, H.F., Sutfin, N.A., Stauffer, S., Guryan. G., Rowland, J.C., Williams, K.H., and Singha, K. (2019). From Grain to Floodplain: Evaluating heterogeneity of floodplain hydrostatigraphy using sedimentology, geophysics, and remote sensing. Earth Surface and Planetary Landforms, doi:10.1002/esp.4613. Floodplain stratigraphy, a major structural element of alluvial aquifers, is a fundamental component of floodplain heterogeneity, hydraulic conductivity, and connectivity. Watershed-scale hydrological models often simplify floodplains by modeling them as largely homogeneous, which inherently overlooks natural floodplain heterogeneity and anisotropy and their effects on hydrologic processes such as groundwater flow and transport and hyporheic exchange. This study, conducted in the East River Basin, Colorado, USA, combines point-, meander-, and floodplain-scale data to explore the importance of detailed field studies and physical representation of alluvial aquifers. We combine sediment core descriptions, hydraulic conductivity estimates from slug tests, ground-penetrating radar (GPR), historical maps of former channels, LiDAR-based elevation and Normalized Difference Vegetation Index data to infer 3-D fluvial stratigraphy. We compare and contrast stratigraphy of two meanders with disparate geometries to explore floodplain heterogeneity and connectivity controls on flow and transport. We identify buried point bars, former channels, and overbank deposits using GPR, corroborated by point sediment descriptions collected during piezometer installment and remotely sensed products. We map heterogeneous structural features that should control resultant flow and transport; orientation and connectivity of these features would control residence times important in hydrologic models.

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