| The main objective of this research was to enhance understanding of the Santa Monica Bay area stormwater systems. The runoff system is proven too intricate for conventional approaches, as most of its parameters are complex and spatially distributed. A novel three-part approach was developed to redress problems that had long prevented stormwater research from breaking new ground.; Although remote sensed data have been available for many years, no stormwater model has used them as direct model input. This dissertation proposes establishing a geographic information system (GIS) with remote sensed data, using data mining techniques to explore land use information for stormwater modeling, and performing hydrological analysis on one of Santa Monica Bay's discrete watersheds. The unique technological combination of the Geographic Information System (GIS) and artificial neural network (ANN) algorithms is the approach that stormwater research has been waiting for.; The study focused on the geographical characteristics of the Santa Monica Bay stormwater systems, but the method can be extrapolated to other watersheds. |
