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EM: Visualizing Ecosystems for Land Management Assessments (VELMA) v2.0, Shayler Crossing watershed, Ohio, USA (EM-605)
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EM Identity and Description
EM Identification
EM ID
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EM-605 |
EM Short Name
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VELMA v2.0, Ohio, USA |
EM Full Name
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Visualizing Ecosystems for Land Management Assessments (VELMA) v2.0, Shayler Crossing watershed, Ohio, USA |
EM Source or Collection
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US EPA |
EM Source Document ID
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359 ?Comment:Document #366 is a supporting document for this EM. McKane et al. 2014, VELMA Version 2.0 User Manual and Technical Documentation. |
Document Author
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Hoghooghi, N., H. E. Golden, B. P. Bledsoe, B. L. Barnhart, A. F. Brookes, K. S. Djang, J. J. Halama, R. B. McKane, C. T. Nietch, and P. P. Pettus |
Document Year
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2018 |
Document Title
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Cumulative effects of low impact development on watershed hydrology in a mixed land-cover system |
Document Status
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Peer reviewed and published |
Comments on Status
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Published journal manuscript |
Software and Access
https://www.epa.gov/water-research/visualizing-ecosystem-land-management-assessments-velma-model-20 | |
Contact Name
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Heather Golden |
Contact Address
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National Exposure Research Laboratory, Office of Research and Development, US EPA, Cincinnati, OH 45268, USA |
Contact Email
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Golden.Heather@epa.gov |
EM Description
Summary Description
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ABSTRACT: "Low Impact Development (LID) is an alternative to conventional urban stormwater management practices, which aims at mitigating the impacts of urbanization on water quantity and quality. Plot and local scale studies provide evidence of LID effectiveness; however, little is known about the overall watershed scale influence of LID practices. This is particularly true in watersheds with a land cover that is more diverse than that of urban or suburban classifications alone. We address this watershed-scale gap by assessing the effects of three common LID practices (rain gardens, permeable pavement, and riparian buffers) on the hydrology of a 0.94 km2 mixed land cover watershed. We used a spatially-explicit ecohydrological model, called Visualizing Ecosystems for Land Management Assessments (VELMA), to compare changes in watershed hydrologic responses before and after the implementation of LID practices. For the LID scenarios, we examined different spatial configurations, using 25%, 50%, 75% and 100% implementation extents, to convert sidewalks into rain gardens, and parking lots and driveways into permeable pavement. We further applied 20 m and 40 m riparian buffers along streams that were adjacent to agricultural land cover…" AUTHOR'S DESCRIPTION: "VELMA’s modeling domain is a three-dimensional matrix that includes information regarding surface topography, land use, and four soil layers. VELMA uses a distributed soil column framework to model the lateral and vertical movement of water and nutrients through the four soil layers. A soil water balance is solved for each layer. The soil column model is placed within a watershed framework to create a spatially distributed model applicable to watersheds (Figure 2, shown here with LID practices). Adjacent soil columns interact through down-gradient water transport. Water entering each pixel (via precipitation or flow from an adjacent pixel) can either first infiltrate into the implemented LID and the top soil layer, and then to the downslope pixel, or continue its downslope movement as the lateral surface flow. Surface and subsurface lateral flow are routed using a multiple flow direction method, as described in Abdelnour et al. [21]. A detailed description of the processes and equations can be found in McKane et al. [32], Abdelnour et al. [21], Abdelnour et al. [40]." |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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The Shayler Crossing (SHC) watershed is a subwatershed of the East Fork Little Miami River Watershed in southwest Ohio, USA and falls within the Till Plains region of the Central Lowland physiographic province. The Till Plains region is a topographically young and extensive flat plain, with many areas remaining undissected by even the smallest stream. The bedrock is buried under a mantle of glacial drift 3–15 m thick. The Digital Elevation Model (DEM) has a maximum value of ~269 m (North American_1983 datum) within the watershed boundary (Figure 1). The soils are primarily the Avonburg and Rossmoyne series, with high silty clay loam content and poor to moderate infiltration. Average annual precipitation for the period, 1990 through 2011, was 1097.4 _ 173.5 mm. Average annual air temperature for the same period was 12 _C Mixed land cover suburban watershed. The primary land uses consist of 64.1% urban or developed area (including 37% lawn, 12% building, 6.5% street, 6.4% sidewalk, and 2.1% parking lot and driveway), 23% agriculture, and 13% deciduous forest. Total imperviousness covers approximately 27% of the watershed area. |
EM Scenario Drivers
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Three types of Low Impact Development (LID) practices (rain gardens, permeable pavements, forested riparian buffers) applied a different conversion levels. |
EM Relationship to Other EMs or Applications
Method Only, Application of Method or Model Run
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Method + Application (multiple runs exist) View EM Runs |
New or Pre-existing EM?
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New or revised model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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Doc-13 | Doc-366 |
EM ID for related EM
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EM-375 | EM-377 | EM-378 | EM-884 | EM-883 | EM-887 |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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Jan 1, 2009 to Dec 31, 2011 |
EM Time Dependence
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time-dependent |
EM Time Reference (Future/Past)
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past time |
EM Time Continuity
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discrete |
EM Temporal Grain Size Value
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1 |
EM Temporal Grain Size Unit
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Day |
EM Spatial Extent
Bounding Type
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Watershed/Catchment/HUC |
Spatial Extent Name
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Shayler Crossing watershed, a subwatershed of the East Fork Little Miami River Watershed |
Spatial Extent Area (Magnitude)
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10-100 ha |
Spatial Distribution of Computations
EM Spatial Distribution
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spatially distributed (in at least some cases) |
Spatial Grain Type
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area, for pixel or radial feature |
Spatial Grain Size
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10m x 10m |
EM Structure and Computation Approach
EM Computational Approach
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Numeric |
EM Determinism
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deterministic |
Statistical Estimation of EM
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Model Checking Procedures Used
Model Calibration Reported?
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Yes |
Model Goodness of Fit Reported?
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Yes ?Comment:Goodness of fit for calibrated (2009-2010) and observed streamflow. |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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Yes |
Model Uncertainty Analysis Reported?
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No |
Model Sensitivity Analysis Reported?
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No |
Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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None |
Centroid Lat/Long (Decimal Degree)
Centroid Latitude
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39.19 |
Centroid Longitude
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-84.29 |
Centroid Datum
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WGS84 |
Centroid Coordinates Status
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Provided |
Environments and Scales Modeled
EM Environmental Sub-Class
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Rivers and Streams | Ground Water | Forests | Agroecosystems | Created Greenspace |
Specific Environment Type
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Mixed land cover suburban watershed |
EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
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None Available |
EnviroAtlas URL
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Average Annual Precipitation, Average Annual Daily Potential Wind Energy |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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EM Variable Names (and Units)
Predictor
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Intermediate
Response
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Observed Response Variables (and Units)
view details (1 variable)
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Computed Response Variables (and Units)
view details (5 variables)
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