Internal Data Strucure For SedTRAILS

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Introduction

SedTRAILS is a simulation tool used to study sediment transport and related processes in rivers and coastal environments. To effectively implement the SedTRAILS model, it is essential to design an efficient internal data structure that can handle the input data for the simulations. This article discusses the design of a data class to structure the input data for SedTRAILS, which should have attributes for time steps: n-time, n-1 time, and n+1 time.

Data Class Design

The data class for SedTRAILS should be designed to hold the input data for the simulations. The attributes of the data class should include:

Time-Related Attributes

  • Time: The time at which the data is recorded, measured in seconds.
  • Size Time Step: The length of the time step, measured in seconds.

Spatial Attributes

  • X: The x-coordinate of the spatial field, measured in meters.
  • Y: The y-coordinate of the spatial field, measured in meters.

Hydrodynamic Attributes

  • Bed Level: The level of the bed, measured in meters.
  • Depth Average Flow Velocity: The average flow velocity at the depth, measured in m/s.
  • Water Depth: The depth of the water, measured in meters.

Sediment Transport Attributes

  • Number Fractions: The number of fractions of sediment transport.
  • Bed Load Sediment Transport: The bed load sediment transport, measured in kg/m/s (vector).
  • Suspended Sediment Transport: The suspended sediment transport, measured in kg/m/s (mass).
  • Suspended Sediment Concentration: The suspended sediment concentration, measured in kg/m^3.
  • Mean Bed Shear Stress: The mean bed shear stress, measured in pascal.
  • Max Bed Shear Stress: The maximum bed shear stress, measured in pascal.
  • Non-Linear Wave Velocity: The non-linear wave velocity, measured in m/s (vector).

Implementation

The data class for SedTRAILS can be implemented using a programming language such as Python. The following is an example implementation of the data class:

from dataclasses import dataclass
from typing import List, Tuple

@dataclass
class SedTRAILSData:
    time: float
    size_time_step: float
    x: float
    y: float
    bed_level: float
    depth_average_flow_velocity: float
    water_depth: float
    number_fractions: int
    bed_load_sediment_transport: List[Tuple[float, float]]
    suspended_sediment_transport: List[Tuple[float, float]]
    suspended_sediment_concentration: float
    mean_bed_shear_stress: float
    max_bed_shear_stress: float
    non_linear_wave_velocity: List[Tuple[float, float]]

Example Usage

The SedTRAILSData class can be used to create an instance of the data class, as follows:

sed_trails_data = SedTRAILSData(
    time=10.0,
    size_time_step=1.0,
    x=10.0,
    y=20.0,
    bed_level=5.0,
    depth_average_flow_velocity=2.0,
    water_depth=10.0,
    number_fractions=2,
    bed_load_sediment_transport=[(1.0, 2.0), (3.0, 4.0)],
    suspended_sediment_transport=[(5.0, 6.0), (7.0, 8.0)],
    suspended_sediment_concentration=10.0,
    mean_bed_shear_stress=100.0,
    max_bed_shear_stress=200.0,
    non_linear_wave_velocity=[(10.0, 20.0), (30.0, 40.0)]
)

Conclusion

Q: What is the purpose of the SedTRAILS internal data structure?

A: The purpose of the SedTRAILS internal data structure is to hold the input data for the simulations, which includes time-related attributes, spatial attributes, hydrodynamic attributes, and sediment transport attributes.

Q: What are the time-related attributes in the SedTRAILS internal data structure?

A: The time-related attributes in the SedTRAILS internal data structure include:

  • Time: The time at which the data is recorded, measured in seconds.
  • Size Time Step: The length of the time step, measured in seconds.

Q: What are the spatial attributes in the SedTRAILS internal data structure?

A: The spatial attributes in the SedTRAILS internal data structure include:

  • X: The x-coordinate of the spatial field, measured in meters.
  • Y: The y-coordinate of the spatial field, measured in meters.

Q: What are the hydrodynamic attributes in the SedTRAILS internal data structure?

A: The hydrodynamic attributes in the SedTRAILS internal data structure include:

  • Bed Level: The level of the bed, measured in meters.
  • Depth Average Flow Velocity: The average flow velocity at the depth, measured in m/s.
  • Water Depth: The depth of the water, measured in meters.

Q: What are the sediment transport attributes in the SedTRAILS internal data structure?

A: The sediment transport attributes in the SedTRAILS internal data structure include:

  • Number Fractions: The number of fractions of sediment transport.
  • Bed Load Sediment Transport: The bed load sediment transport, measured in kg/m/s (vector).
  • Suspended Sediment Transport: The suspended sediment transport, measured in kg/m/s (mass).
  • Suspended Sediment Concentration: The suspended sediment concentration, measured in kg/m^3.
  • Mean Bed Shear Stress: The mean bed shear stress, measured in pascal.
  • Max Bed Shear Stress: The maximum bed shear stress, measured in pascal.
  • Non-Linear Wave Velocity: The non-linear wave velocity, measured in m/s (vector).

Q: How can I implement the SedTRAILS internal data structure in a programming language?

A: The SedTRAILS internal data structure can be implemented using a programming language such as Python. The following is an example implementation of the data class:

from dataclasses import dataclass
from typing import List, Tuple

@dataclass
class SedTRAILSData:
    time: float
    size_time_step: float
    x: float
    y: float
    bed_level: float
    depth_average_flow_velocity: float
    water_depth: float
    number_fractions: int
    bed_load_sediment_transport: List[Tuple[float, float]]
    suspended_sediment_transport: List[Tuple[float, float]]
    suspended_sediment_concentration: float
    mean_bed_shear_stress: float
    max_bed_shear_stress: float
    non_linear_wave_velocity: List[Tuple[float, float]]

Q: How can I use the SedTRAILS internal data structure in a simulation?

A: The SedTRAILS internal data structure can be used in a simulation by creating an instance of the data class and passing the input data to the simulation. The following is an example usage of the SedTRAILSData class:

sed_trails_data = SedTRAILSData(
    time=10.0,
    size_time_step=1.0,
    x=10.0,
    y=20.0,
    bed_level=5.0,
    depth_average_flow_velocity=2.0,
    water_depth=10.0,
    number_fractions=2,
    bed_load_sediment_transport=[(1.0, 2.0), (3.0, 4.0)],
    suspended_sediment_transport=[(5.0, 6.0), (7.0, 8.0)],
    suspended_sediment_concentration=10.0,
    mean_bed_shear_stress=100.0,
    max_bed_shear_stress=200.0,
    non_linear_wave_velocity=[(10.0, 20.0), (30.0, 40.0)]
)

Q: What are the benefits of using the SedTRAILS internal data structure?

A: The benefits of using the SedTRAILS internal data structure include:

  • Improved data organization: The SedTRAILS internal data structure provides a clear and organized way to store and manage the input data for the simulations.
  • Increased efficiency: The SedTRAILS internal data structure can help to reduce the computational time and resources required for the simulations.
  • Better data analysis: The SedTRAILS internal data structure provides a clear and organized way to analyze the input data and results of the simulations.