A simple water supply planning model, which explores the alteration to flow due to withdrawals of water from a reservoir, and the rules that govern the regulation of the reservoirs dam in terms of refill and release. This model uses a variety of stock components, including the USGS gage data retrieval component (which goes to US Geological Survey web site and retrieves flow data automatically), the Gini coefficient graphing and calculation function, the flow-duration curve graphing function (a commonly used metric in hydrologic analysis), and lookup sub-components for simulating complicated "flow-by" rules. Sample output:
Identical to the above Dawsons Creek Simulation, only run for a much shortened time span.
This model shows an example of using weather forecast for the prediction of agricultural pest/disease problems. The simulation uses a set of equations that predict the risk of a powdery mildew fungus outbreak on grapes given the wind speed, relative humidity, and temperature. Forecasted data is obtained in real-time from the NOAA regional climatic centers and predicts conditions 3 days into the future. This moodel is a good example of how to use semi-complex mathematical expressions in the WOOOMM system by combining the Equation and Statistic sub-components. Sample output:
Using a habitat suitability equation system adapted from the USGS National Wetlands Research Center, this model explores the predicted changes in habitat for small-mouth bass based on withdrawals of water from a river in Virginia's Shenandoah Valley. Sample output:
An implementation of the Lotka-Volterra Predator-Prey relationship. Shows the interaction of a predator population (fox) with their prey (rabbit). This sample is a good basic introduction to equations (sun-components) and linking objects within a model. It also shows one aspect of graphing components, the ability to display data on multiple axis. Sample output:
An implementation of the Lotka-Volterra Predator-Prey relationship. Extends the simple L-V model to include a factor to limit the birth rate of the prey based availability of vegetation. The vegetation availability is estimated based on rainfall amounts, with data obtained from the USGS meteorological monitoring system. Model output is compared to the output from the simple L-V model. Sample output:
