Prospective employs System and Control Engineering for the design and construction of Watershed Models which represent the systems and generate the time-related behaviors of the Watersheds they portray.
Our Models provide a quantitative understanding of how Watersheds perform under multiple, concurrent factors of stress, such as climate variability, population growth, increased agricultural production and others. They support the users’ seeking and testing policy procedures that take the Watershed from any given path into the future, to a sustainable one. They also identify the individual process that require adjustment for the Watershed to achieve sustainability.
Our Models represent the supply and demand of water, but they also represent the natural processes (e.g., climate change over the water cycle) and human processes (e.g., population dynamics over agricultural production) in the Watershed since they continuously drive supply and demand of water that needs to be regulated to attain and then sustain water balance.
Our Models’ solutions provide the users with simultaneous, quantitative results of water, population, industrial and agricultural production and other variables that enable them to understand how the Watershed performs. From this understanding, Control Policies that vary the observed performance can be identified and tested with the Model itself.
Our Models’ are user-controllable, a feature the enables the users to alter the Watershed processes and when this takes place the Model reacts by changing its performance and simulating the Watershed shift to a different future state. This procedure is utilized to create sustainable 20 or 30-year futures. Those policies that achieve long-term sustainability in the Model are subsequently implemented in the Watershed.
Planning with a Watershed Model is accomplished by simulating the daily operation of a Watershed under study.