Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Downer, Charles W.

doi:10.21236/ada479039

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…Considering that the depths of the sheet runoff are much smaller than the microtopographic irregularities over the fields, the calibrated n represents not only the bed resistance but also form drags due to the microbed forms, crop residue, and vegetation. This n value agrees with the recent runoff studies [25,31,49] in cases of overland flows, including those in the Goodwin Creek Experimental Watershed in Northern Mississippi. There are numerous trees, bushes, and weeds growing along and within the channel, thus, n =0.16m À1/3 s was used for the channel and kept unchanged for other rain event cases.…”

Section: Application To a Real Watershed Mathematical Modelsupporting

confidence: 90%

“…CCHE2D is a physically based model, which treats the entire watershed including the channels and ditches as one continuous domain. One does not need to differentiate overland sheet flow and channel flow calculation areas using grid cells and 1D channel networks as is done in GSSHA [31], WASH123D [32], NIKE-SHE [33], and SHETRAN [34]. It is also not necessary to employ arbitrarily shaped subwatersheds and 1D channel networks as is done in the CCHE1D model [35].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model

Jia¹,

Shirmeen²,

Locke³

et al. 2019

Soil Erosion - Rainfall Erosivity and Risk Assessment

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Numerical simulation of surface runoff is used to understand and predict watershed sediment transport and water quality and improve management of agricultural watersheds. However, models currently available are either simplified or parameterized for efficiency. In this chapter, CCHE2D, a physically based hydrodynamic model for general free surface flow hydrodynamics, was applied to study watershed surface runoff and channel flows. Multiple analytical solutions and experimental data were used to verify and validate this finite element model systematically with good results. A numerical scheme for correcting the bilinear interpolation of the water surface elevation solutions from the cell centers to the computational nodes was developed to improve the model. The correction was found necessary and effective for the sheet runoff simulations over the irregular bed topography. The modified numerical model was then used to simulate storms in a low-relief agricultural watershed in the Mississippi River alluvial plain. This physically based model identified the channel networks, watershed boundary automatically, and helped to develop rating curves at the gage station of this complex watershed. The numerical simulations resolved detailed runoff and turbulent channel flows, which can be used for soil erosion and gully development analyses.

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Section: Application To a Real Watershed Mathematical Modelsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model

Jia¹,

Shirmeen²,

Locke³

et al. 2019

Soil Erosion - Rainfall Erosivity and Risk Assessment

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show abstract

“…To simulate the capture and storage capabilities of simplified BMPs, we used a retention function. The retention function stores a specified depth of water on specific cells (Downer, 2008;Downer & Ogden, 2006). We determined the depth of storage based on local guidelines for bioretention cells (see Table 1).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

Fry

Maxwell²,

McCray³

et al. 2017

Hydrological Processes

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The urban environment modifies the hydrologic cycle resulting in increased runoff rates, volumes, and peak flows. Green infrastructure, which uses best management practices (BMPs), is a natural system approach used to mitigate the impacts of urbanization onto stormwater runoff. Patterns of stormwater runoff from urban environments are complex, and it is unclear how efficiently green infrastructure will improve the urban water cycle. These challenges arise from issues of scale, the merits of BMPs depend on changes to small‐scale hydrologic processes aggregated up from the neighborhood to the urban watershed. Here, we use a hyper‐resolution (1 m), physically based hydrologic model of the urban hydrologic cycle with explicit inclusion of the built environment. This model represents the changes to hydrology at the BMP scale (~1 m) and represents each individual BMP explicitly to represent response over the urban watershed. Our study varies both the percentage of BMP emplacement and their spatial location for storm events of increasing intensity in an urban watershed. We develop a metric of effectiveness that indicates a nonlinear relationship that is seen between percent BMP emplacement and storm intensity. Results indicate that BMP effectiveness varies with spatial location and that type and emplacement within the urban watershed may be more important than overall percent.

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“…GSSHA. Gridded Surface and Subsurface Hydrologic Analysis (GSSHA) is a two-dimensional, physics-based numerical simulation model created with the U.S. Army Corps of Engineers (Downer andOgden, 2003, 2004) to perform hydrologic analysis at high-resolution with spatially distributed results. Once calibrated, a GSSHA simulation model is ideal for evaluating changing conditions and forecasts at a local level.…”

Section: Hydrologic and Hydraulic Modeling Toolsmentioning

confidence: 99%

“…GSSHA was tested in the System Wide Water Resources Program at the Goodwin Creek Experimental Watershed that has an area of 21.2 km 2 (Downer, 2008). The parameter assignment and calibration in GSSHA were tested in this small (21.2 km 2 ) agricultural watershed located in northeast Mississippi, near Basteville (Downer andOgden, 2003, 2004). Another study was carried out to validate the capability of distributed models to simulate complex problems in comparison to the Hydrologic Modeling System (HMS) (USACE, 2015) lumped and semi-distributed Clark models in the simulation of land use change scenarios and its effects in response for a 113.96 km 2 watershed in Tifton, Georgia (Paudel, 2010).…”

Section: Downscaling Strategiesmentioning

confidence: 99%

From Global to Local: Providing Actionable Flood Forecast Information in a Cloud‐Based Computing Environment

Pérez

Swain

Dolder

et al. 2016

J American Water Resour Assoc

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Global and continental scale flood forecast provide coarse resolution flood forecast, but from the perspective of emergency management, flood warnings should be detailed and specific to local conditions. The desired refinement can be provided by the use of downscaling global scale models and through the use of distributed hydrologic models to produce a high-resolution flood forecast. Three major challenges associated with transforming global flood forecasting to a local scale are addressed in this work. The first is using open-source software tools to provide access to multiple data sources and lowering the barriers for users in management agencies at local level. This can be done through the Tethys Platform that enables web water resources modeling applications. The second is finding a practical solution for the computational requirements associated with running complex models and performing multiple simulations. This is done using Tethys Cluster that manages distributed and cloud computing resources as a companion to the Tethys Platform for web app development. The third challenge is discovering ways to downscale the forecasts from the global extent to the local context. Three modeling strategies have been tested to address this, including downscaling of coarse resolution global runoff models to high-resolution stream networks and routing with Routing Application for Parallel computatIon of Discharge (RAPID), the use of hierarchical Gridded Surface and Subsurface Hydrologic Analysis (GSSHA) distributed models, and pre-computed distributed GSSHA models.(KEY TERMS: flood forecast; flood warning; web apps; emergency response; Tethys Platform.)

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Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Cited by 10 publications

References 6 publications

Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model

Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

From Global to Local: Providing Actionable Flood Forecast Information in a Cloud‐Based Computing Environment

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