Simulating Soil-Water Movement through Loess-Veneered Landscapes Using Nonconsilient Saturated Hydraulic Conductivity Measurements

Williamson, Tanja N.; Lee, Brad D.; Schoeneberger, Philip; McCauley, W. M.; Indorante, S. J.; Owens, Phillip R.

doi:10.2136/sssaj2014.01.0045

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Representative values of soil parameters were aggregated from SSURGO (USDA-NRCS, 2010) using a series of queries in Microsoft Access. Soil-property data were up-scaled from layer data to componentweighted means for each soil-mapping unit after Williamson et al (2014) and joined to the spatial data by using the unique identifiers of soil-mapping-unit polygons. These polygons, attributed with individual soil parameters, were then converted to a 10-m raster in order to match that of the DEM and used for spatial statistics.…”

Section: Linking Topographic and Soil Data For Topmodelmentioning

confidence: 99%

Classification of Ephemeral, Intermittent, and Perennial Stream Reaches Using aTOPMODEL‐Based Approach

Williamson

Agouridis

Barton

et al. 2015

J American Water Resour Assoc

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Whether a waterway is temporary or permanent influences regulatory protection guidelines, however, classification can be subjective due to a combination of factors, including time of year, antecedent moisture conditions, and previous experience of the field investigator. Our objective was to develop a standardized protocol using publically available spatial information to classify ephemeral, intermittent, and perennial streams. Our hypothesis was that field observations of flow along the stream channel could be compared to results from a hydrologic model, providing an objective method of how these stream reaches can be identified. Flow‐state sensors were placed at ephemeral, intermittent, and perennial stream reaches from May to December 2011 in the Appalachian coal basin of eastern Kentucky. This observed flow record was then used to calibrate the simulated saturation deficit in each channel reach based on the topographic wetness index used by TOPMODEL. Saturation deficit values were categorized as flow or no‐flow days, and the simulated record of streamflow was compared to the observed record. The hydrologic model was more accurate for simulating flow during the spring and fall seasons. However, the model effectively identified stream reaches as intermittent and perennial in each of the two basins.

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Section: Linking Topographic and Soil Data For Topmodelmentioning

confidence: 99%

Classification of Ephemeral, Intermittent, and Perennial Stream Reaches Using aTOPMODEL‐Based Approach

Williamson

Agouridis

Barton

et al. 2015

J American Water Resour Assoc

View full text Add to dashboard Cite

show abstract

“…WATER‐DRB incorporates TOPMODEL as described by Wolock (), with modifications by Kennen et al () and Williamson et al (), and simulates the storage of water and remaining empty pore space in the soil as a function of the topographic wetness index (TWI). The model incorporates total soil porosity, field capacity, and wilting point for both the rooting zone and underlying soil thickness (Williamson et al, ) in order to comprehensively simulate the open pore space (the saturation deficit of Beven, ). Use of a regionally calibrated, process‐based hydrologic model means that parameterization is not tied to individual basins or statistical links among historical streamflow, climate, and land cover that may change in the future (Farmer et al, ); instead, the hydrologic model focuses on how water moves across the landscape as a function of local topography, soils, and water‐balance.…”

Section: Methodsmentioning

confidence: 99%

Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060

Williamson

Claggett

2018

Hydrological Processes

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In order to simulate the potential effect of forecasted land‐cover change on streamflow and water availability, there has to be confidence that the hydrologic model used is sensitive to small changes in land cover (<10%) and that this land‐cover change exceeds the inherent uncertainty in forecasted conditions. To investigate this, a 26‐year streamflow record was simulated for 33 basins (54–928 km2) in the Delaware River Basin using three dates of land cover: the 2011 National Land‐Cover Dataset (Homer, Fry, & Barnes, ), 2030 land‐cover conditions representing median values from 101 equally‐likely forecasts, and 2060 land‐cover conditions corresponding to the same iterations used to represent 2030. Streamflow was simulated using a process‐based hydrologic model that includes both pervious and impervious methods as parameterized by three land‐cover‐based hydrologic response units (HRUs)—forested, agricultural, and developed land. Small, but significant differences in streamflow magnitude, variability, and seasonality were seen among the three time periods—2011, 2030, and 2060. Temporal differences were discernible from the range of conditions simulated with 101 equally likely forecasts for 2030. Development was co‐located with the most frequent landscape components, as characterized by topographic wetness index, resulting in a change in hydrology for each HRU, highlighting that knowing the location of disturbance is key to understanding potential streamflow changes. These results show that streamflow simulation using regional calibration that incorporates land‐cover‐based HRUs can be sensitive to relatively small changes in land‐cover and that temporal trends resulting from land‐cover change can be isolated in order to evaluate other changes that might affect water resources.

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Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology

Williamson

Barton

2020

Science of The Total Environment

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Simulating Soil-Water Movement through Loess-Veneered Landscapes Using Nonconsilient Saturated Hydraulic Conductivity Measurements

Cited by 5 publications

References 24 publications

Classification of Ephemeral, Intermittent, and Perennial Stream Reaches Using aTOPMODEL‐Based Approach

Classification of Ephemeral, Intermittent, and Perennial Stream Reaches Using aTOPMODEL‐Based Approach

Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060

Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology

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