Poster: UNCERTAINTY of HYDROLOGIC EVENTS under DAKOTA’S CHANGING CONDITIONS: RESEARCH PLAN (original) (raw)

The widespread flooding across South Dakota (SD) in 2011 has spurred a new look at the institutional, regulatory, and mathematical models used to manage the Upper Missouri River Basin. A SD NSF EPSCoR planning grant was recently awarded to develop conceptual and mathematical models to understand, describe and communicate the uncertainty of hydrological events (HE). To deal better with the risk of HE such as drought and flooding, uncertainty has to be understood using artificial intelligence tools. The mathematics will be about distributed system interactions, statistical learning and cellular automata, and will result in simulation modeling for the stakeholders use. Statistical learning with use of Vapnik– Chervonenkis dimension will provide uncertainty evaluation, and system and cellular automata method will help to understand, apply and communicate the results of statistical findings. Multiple models will help to generate results in the form of educational oriented, simplified sim...