EcoService Models Library (ESML)
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EM: i-Tree Hydro v4.0 (default data option) (EM-137)
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EM Identity and Description
EM Identification
EM ID
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EM-137 |
EM Short Name
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i-Tree Hydro v4.0 |
EM Full Name
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i-Tree Hydro v4.0 (default data option) |
EM Source or Collection
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i-Tree | USDA Forest Service |
EM Source Document ID
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198 |
Document Author
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USDA Forest Service |
Document Year
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Not Reported |
Document Title
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i-Tree Hydro User's Manual v. 4.0 |
Document Status
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Peer reviewed and published |
Comments on Status
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Webpage |
Software and Access
http://www.itreetools.org | |
Contact Name
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Not applicable |
Contact Address
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Not applicable |
Contact Email
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Not applicable |
EM Description
Summary Description
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ABSTRACT: "i-Tree Hydro is the first urban hydrology model that is specifically designed to model vegetation effects and to be calibrated against measured stream flow data. It is designed to model the effects of changes in urban tree cover and impervious surfaces on hourly stream flows and water quality at the watershed level." AUTHOR'S DESCRIPTION: "The purpose of i-Tree Hydro is to simulate hourly changes in stream flow (and water quality) given changes in tree and impervious cover in the watershed. The following is an overview of the process: 1) Determine your watershed of analysis and stream gauge station. i-Tree Hydro works on a watershed basis with the watershed determined as the total drainage area upstream from a measured stream gauge. Stream gauge availability varies. 2) Download national digital elevation data. Once the area and location of the watershed are known, digital elevation data are downloaded from the USGS for an area that encompasses the entire watershed. ArcGIS software is then used to create a digital elevation map and to determine the exact boundary for the watershed upstream from the gauge station location. 3) Determine cover attributes of the watershed and gather other required data. i-Tree Canopy and other sources can be used to determine the tree cover, shrub cover, impervious surface and other cover types. Information about other aspects of the watershed such as proportion of evergreen trees and shrubs, leaf area index, and a variety of hydrologic parameters must be collected. 4) Get started with Hydro. Once these input data are ready, they are loaded into Hydro to begin analysis. 5) Calibrate the model. The Hydro model contains an auto-calibration routine that tries to find the best fit between the stream flow predicted by the model and the stream flow measured at the stream gauge station given the various inputs. The model can also be manually calibrated to improve the fit by changing the parameters as needed. 6) Model new scenarios: Once the model is properly calibrated, tree and impervious cover parameters can be changed to illustrate the impact on stream flow and water quality." |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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No additional description provided |
EM Scenario Drivers
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No scenarios presented |
EM Relationship to Other EMs or Applications
Method Only, Application of Method or Model Run
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Method Only |
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-190 | Doc-223 |
EM ID for related EM
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EM-109 | EM-142 | EM-51 |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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Not applicable |
EM Time Dependence
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time-dependent |
EM Time Reference (Future/Past)
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Not applicable |
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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Hour |
EM Spatial Extent
Bounding Type
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Not applicable |
Spatial Extent Name
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Not applicable |
Spatial Extent Area (Magnitude)
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Not applicable |
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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30 x 30 m |
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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Not applicable |
Model Goodness of Fit Reported?
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Not applicable |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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Not applicable |
Model Uncertainty Analysis Reported?
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Not applicable |
Model Sensitivity Analysis Reported?
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Not applicable |
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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None |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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None |
Centroid Lat/Long (Decimal Degree)
Centroid Latitude
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-9999 |
Centroid Longitude
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-9999 |
Centroid Datum
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Not applicable |
Centroid Coordinates Status
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Not applicable |
Environments and Scales Modeled
EM Environmental Sub-Class
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Rivers and Streams | Ground Water | Created Greenspace |
Specific Environment Type
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Urban watersheds |
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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Community |
Taxonomic level and name of organisms or groups identified
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None Available |
EnviroAtlas URL
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GAP Ecological Systems, National Hydrography Dataset Plus (NHD PlusV2), Average Annual Precipitation, Percent Impervious Area, Water supply from NID reservoirs (million gallons) |
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
Intermediate (Computed) Variables (and Units)
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None |
Response
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Observed Response Variables (and Units)
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None |
Computed Response Variables (and Units)
view details (1 variable)
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