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EM: InVEST v3.0 Reservoir Hydropower Projection, aka Water Yield (EM-368)
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EM Identity and Description
EM Identification
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EM ID
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EM-368 |
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EM Short Name
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InVEST - Water Yield (v3.0) |
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EM Full Name
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InVEST v3.0 Reservoir Hydropower Projection, aka Water Yield |
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EM Source or Collection
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InVEST |
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EM Source Document ID
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311 |
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Document Author
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Natural Capital Project |
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Document Year
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2015 |
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Document Title
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Water Yield: Reservoir Hydropower Production- InVEST (v3.0) |
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Document Status
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Peer reviewed and published |
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Comments on Status
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Web published |
Software and Access
| https://www.naturalcapitalproject.org/invest/ | |
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Contact Name
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Natural Capital Project |
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Contact Address
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371 Serra Mall, Stanford University, Stanford, Ca 94305 |
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Contact Email
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invest@naturalcapitalproject.org |
EM Description
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Summary Description
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Please note: This ESML entry describes an InVEST model version that was current as of 2015. More recent versions may be available at the InVEST website. AUTHOR'S DESCRIPTION: "The InVEST Reservoir Hydropower model estimates the relative contributions of water from different parts of a landscape, offering insight into how changes in land use patterns affect annual surface water yield and hydropower production. Modeling the connections between landscape changes and hydrologic processes is not simple. Sophisticated models of these connections and associated processes (such as the WEAP model) are resource and data intensive and require substantial expertise. To accommodate more contexts, for which data are readily available, InVEST maps and models the annual average water yield from a landscape used for hydropower production, rather than directly addressing the affect of LULC changes on hydropower failure as this process is closely linked to variation in water inflow on a daily to monthly timescale. Instead, InVEST calculates the relative contribution of each land parcel to annual average hydropower production and the value of this contribution in terms of energy production. The net present value of hydropower production over the life of the reservoir also can be calculated by summing discounted annual revenues. The model runs on a gridded map. It estimates the quantity and value of water used for hydropower production from each subwatershed in the area of interest. It has three components, which run sequentially. First, it determines the amount of water running off each pixel as the precipitation less the fraction of the water that undergoes evapotranspiration. The model does not differentiate between surface, subsurface and baseflow, but assumes that all water yield from a pixel reaches the point of interest via one of these pathways. This model then sums and averages water yield to the subwatershed level. The pixel-scale calculations allow us to represent the heterogeneity of key driving factors in water yield such as soil type, precipitation, vegetation type, etc. However, the theory we are using as the foundation of this set of models was developed at the subwatershed to watershed scale. We are only confident in the interpretation of these models at the subwatershed scale, so all outputs are summed and/or averaged to the subwatershed scale. We do continue to provide pixel-scale representations of some outputs for calibration and model-checking purposes only. These pixel-scale maps are not to be interpreted for understanding of hydrological processes or to inform decision making of any kind. |
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Specific Policy or Decision Context Cited
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None identified |
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Biophysical Context
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None applicable |
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EM Scenario Drivers
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N/A |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method Only |
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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-307 | Doc-280 | Doc-338 | Doc-205 |
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EM ID for related EM
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EM-437 | EM-148 | EM-344 | EM-111 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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Not applicable |
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EM Time Dependence
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time-dependent |
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EM Time Reference (Future/Past)
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future time |
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EM Time Continuity
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discrete |
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EM Temporal Grain Size Value
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1 |
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EM Temporal Grain Size Unit
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Year |
EM Spatial Extent
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Bounding Type
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Not applicable |
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Spatial Extent Name
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Not applicable |
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Spatial Extent Area (Magnitude)
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Not applicable |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially distributed (in at least some cases) ?Comment:pixel is likely 30m x 30m |
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Spatial Grain Type
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area, for pixel or radial feature |
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Spatial Grain Size
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Not specified |
EM Structure and Computation Approach
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EM Computational Approach
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Numeric |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
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Model Checking Procedures Used
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Model Calibration Reported?
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Yes ?Comment:Annual Yield can be calibrated with actual yield based up 10 year average input data though this was an "optional" part of the model. Calibrate with total precipitation and potential evapotranspiration. Before the calibration process is commenced, the modelers suggest performing a sensitivity analysis with the observed runoff data to define the parameters that influence model outputs the most. The calibration can then focus on highly sensitive parameters followed by less sensitive ones. |
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Model Goodness of Fit Reported?
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Not applicable |
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Goodness of Fit (metric| value | unit)
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None |
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Model Operational Validation Reported?
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No |
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Model Uncertainty Analysis Reported?
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No |
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Model Sensitivity Analysis Reported?
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Not applicable |
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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)
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Centroid Latitude
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-9999 |
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Centroid Longitude
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-9999 |
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Centroid Datum
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Not applicable |
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Centroid Coordinates Status
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Not applicable |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Rivers and Streams |
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Specific Environment Type
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Watershed |
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EM Ecological Scale
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Not applicable |
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
taxonomyHelp
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| None Available |
EnviroAtlas URL
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| Average Annual Precipitation, Agricultural water use (million gallons/day), The Watershed Boundary Dataset (WBD) |
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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Driving Variables (and Units)
view details (4 variables)
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Constant or Factor Variables (and Units)
view details (7 variables)
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Intermediate
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Intermediate (Computed) Variables (and Units)
view details (4 variables)
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Response
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