EcoService Models Library (ESML)
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Variables Details
: (EM-942)
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EM Identity and Description
EM-942 | |
Document Author
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Hashad, K. B. Yang, J. T. Steffens, R. W. Baldauf, P. Deshmukh, K. M. Zhang |
Document Year
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2021 |
Variable General Info
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Variable ID
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23182 |
U | |
Qualitative-Quantitative
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Quantitative (Cardinal Only) |
Cardinal-Ordinal
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Cardinal |
m s^-1 |
Variable Typology
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Predictor-Intermediate-Response
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Intermediate (Computed) Variable |
Predictor Variable Type
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Not applicable |
Response Variable Type
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Not applicable |
Data Source/Type
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Not applicable |
Variable Classification Hierarchy
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4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
--Human-caused release, presence or characteristics of polluting substances |
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----Release, presence or characteristics of nonpesticide anthropogenic toxic contaminants |
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Variable Spatial Characteristics
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Spatial Extent Area
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Not applicable |
Spatially Distributed?
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Yes |
Observations Spatially Patterned?
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Yes |
Spatial Grain Type
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length, for linear feature (e.g., stream mile) |
Spatial Grain Size
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user defined |
Spatial Density
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Not applicable |
EnviroAtlas URL
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Variable Temporal Characteristics
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Temporal Extent
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Not applicable |
Temporally Distributed?
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No |
Regular Temporal Grain?
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Not applicable |
Temporal Grain Size Value
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Not applicable |
Temporal Grain Size Units
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Not applicable |
Temporal Density
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Not applicable |
Variable Values
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Not applicable | |
Min Value
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Not applicable |
Max Value
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Not applicable |
Other Value Type
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Not applicable |
Other Value
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Not applicable |
Variable Variability and Sensitivity
Pollutant plume velocity ?Comment:The velocity decreases in Region I, due to drag, then it further reduces in Region II (wake). In Region III, due to recirculation, the velocity reaches a minimum before slowly recovering in Region IV. A linear fitting was chosen for Regions I, II, and III and a power fit was used for Region IV. The power fit in Region IV, accounts for the mean plume velocity that will asymptote to the upstream velocity further downwind of the barrier. Figure 5a highlights the proposed fitting, while Equations 8-11 show the functions that will be used for each region. The fitting needs to be continuous, i.e., the value of the mean plume velocity has to be the same at the boundaries of each of the four zones. The values of the fitting constants C1 to C5 were obtained for each of the training cases, then fitted as a function of the vegetation properties and local wind speed following the fitting procedure highlighted earlier. |
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Variability Expression Given?
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Not applicable |
Variability Metric
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None |
Variability Value
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None |
Variability Units
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None |
Resampling Used?
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Not applicable |
Variability Expression Used in Modeling?
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Not applicable |
Variable Operational Validation (Response Variables only)
Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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