EcoService Models Library (ESML)
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EM: KINEROS (Kinematic runoff and erosion model) v2, River Ravna watershed,Bulgaria (EM-130)
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EM Identity and Description
EM Identification
EM ID
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EM-130 |
EM Short Name
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KINEROS2, River Ravna watershed, Bulgaria |
EM Full Name
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KINEROS (Kinematic runoff and erosion model) v2, River Ravna watershed,Bulgaria |
EM Source or Collection
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EU Biodiversity Action 5 |
EM Source Document ID
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248 ?Comment:Document 277 is also a source document for this EM |
Document Author
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Nedkov, S., Burkhard, B. |
Document Year
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2012 |
Document Title
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Flood regulating ecosystem services - Mapping supply and demand, in the Etropole municipality, Bulgaria |
Document Status
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Peer reviewed and published |
Comments on Status
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Published journal manuscript |
Software and Access
http://www.tucson.ars.ag.gov/agwa/ | |
Contact Name
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David C. Goodrich |
Contact Address
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USDA - ARS Southwest Watershed Research Center, 2000 E. Allen Rd., Tucson, AZ 85719 |
Contact Email
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agwa@tucson.ars.ag.gov |
EM Description
Summary Description
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ABSTRACT: "Floods exert significant pressure on human societies. Assessments of an ecosystem’s capacity to regulate and to prevent floods relative to human demands for flood regulating ecosystem services can provide important information for environmental management. In this study, the capacities of different ecosystems to regulate floods were assessed through investigations of water retention functions of the vegetation and soil cover. The use of the catchment based hydrologic model KINEROS and the GIS AGWA tool provided data about peak rivers’ flows and the capability of different land cover types to “capture” and regulate some parts of the water." AUTHOR'S DESCRIPTION: "KINEROS is a distributed, physically based, event model describing the processes of interception, dynamic infiltration, surface runoff and erosion from watersheds characterized by predominantly overland flow. The watershed is conceptualized as a cascade and the channels, over which the flow is routed in a top–down approach, are using a finite difference solution of the one-dimensional kinematic wave equations (Semmens et al., 2005). Rainfall excess, which leads to runoff, is defined as the difference between precipitation amount and interception and infiltration depth. The rate at which infiltration occurs is not constant but depends on the rainfall rate and the accumulated infiltration amount, or the available moisture condition of the soil. The AGWA tool is a multipurpose hydrologic analysis system addressed to: (1) provide a simple, direct and repeatable method for hydrologic modeling; (2) use basic, attainable GIS data; (3) be compatible with other geospatial basin-based environmental analysis software; and (4) be useful for scenario development and alternative future simulation work at multiple scales (Miller et al., 2002). AGWA provides the functionality to conduct the processes of modeling and assessment for…KINEROS." |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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Average elevation is 914 m. The mean annual temperatures gradually decrease from 9.5 to 2 degrees celcius as the elevation increases. The annual precipitation varies from 750 to 800 mm in the northern part to 1100 mm at the highest part of the mountains. Extreme preipitation is intensive and most often concentrated in certain parts of the catchment areas. Soils are represented by 5 main soil types - Cambisols, Rankers, Lithosols, Luvisols, ans Eutric Fluvisols. Most of the forest is deciduous, represented mainly by beech and hornbeam oak. |
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 + Application |
New or Pre-existing EM?
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Application of existing 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-277 | Doc-294 | Doc-249 | Doc-250 ?Comment:Document 277 is also a source document for this EM |
EM ID for related EM
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EM-132 | EM-133 |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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Not reported |
EM Time Dependence
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time-dependent |
EM Time Reference (Future/Past)
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future time |
EM Time Continuity
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discrete |
EM Temporal Grain Size Value
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Not reported |
EM Temporal Grain Size Unit
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Not reported |
EM Spatial Extent
Bounding Type
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Watershed/Catchment/HUC |
Spatial Extent Name
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River Ravna watershed |
Spatial Extent Area (Magnitude)
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10-100 km^2 |
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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25 m x 25 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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Yes |
Model Goodness of Fit Reported?
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No |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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No |
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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42.8 |
Centroid Longitude
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24 |
Centroid Datum
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WGS84 |
Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
EM Environmental Sub-Class
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Rivers and Streams | Terrestrial Environment (sub-classes not fully specified) | Forests |
Specific Environment Type
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Primarily forested 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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The National Hydrography Dataset (NHD), Average Annual Precipitation, Percent Impervious Area |
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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None |
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)
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None |
Intermediate
Intermediate (Computed) Variables (and Units)
view details (7 variables)
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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 (3 variables)
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