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Related Concept Videos

Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
If  ζ...
Second Order systems I01:20

Second Order systems I

A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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Related Experiment Videos

Accounting for system dynamics in reserve design.

Shawn J Leroux1, Fiona K A Schmiegelow, Steve G Cumming

  • 1Canadian BEACONs project, Department of Renewable Resources, University of Alberta, 751 General Services Building, Edmonton, Alberta T6G 2H1, Canada. shawn.leroux@mail.mcgill.ca

Ecological Applications : a Publication of the Ecological Society of America
|November 3, 2007
PubMed
Summary

Conservation planning must account for natural disturbances. A new dynamic simulation model, CONSERV, showed that current reserve designs fail to maintain targets, highlighting the need for spatial simulation in planning.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Environmental Management

Background:

  • Systematic conservation planning is increasingly incorporating ecosystem dynamics like climate change and population fluctuations.
  • However, few studies have addressed the crucial role of natural disturbances in reserve design, particularly for intact ecosystems.
  • Natural disturbances, such as fire, significantly shape ecosystem structure and function.

Purpose of the Study:

  • To evaluate the efficacy of hypothetical reserve networks in maintaining conservation targets under active natural disturbance regimes.
  • To demonstrate the utility of spatially explicit, dynamic simulation models in reserve design.
  • To inform the development of more effective and efficient conservation planning strategies.

Main Methods:

  • Development of CONSERV, a spatially explicit, dynamic simulation model simulating patch dynamics and fire.
  • Design of six hypothetical reserve networks based on conventional methods with varying conservation targets.
  • Inputting reserve networks into CONSERV to track target maintenance over time under simulated natural disturbances.

Main Results:

  • None of the tested reserve networks successfully maintained all initial conservation targets.
  • Some reserve designs exhibited over-representation of specific features, indicating inefficiencies.
  • The study highlights the limitations of conventional reserve design methods when faced with dynamic natural processes.

Conclusions:

  • Spatially explicit dynamic simulation models, like CONSERV, are essential for improving the effectiveness and efficiency of reserve design.
  • Iterative use of such models can help evaluate competing designs and select targets with higher long-term viability.
  • Integrating dynamic simulation models into planning processes is crucial for developing robust conservation strategies in uncertain environments.