An integrated geographic information system and stormwater management modeling

An integrated stormwater management model with GIS for the urban stormwater process was developed and validated through the calibration procedure and model simulations. The integrated GIS/Model developed included a steady and a deterministic model.; An integrated GIS and empirical urban runoff model was developed to estimate the annual pollutant loadings in the Santa Monica Bay Watershed. The runoff equation derived from the rational method was successfully embedded in the GIS. Within the GIS, all the physical characteristics (data coverages) of the watershed were successfully linked and related with the runoff model. A combination of a GIS and an empirical urban runoff model can be used as a tool to test the potential nonpoint source control strategies.; A GIS provides a stable and an efficient platform to store and manipulate an substantial amount of data required by stormwater modeling. Since a GIS stores the data in reference to the spatial features of the physical world, it can be used to identify the spatial relationships between map features. The model's prediction of the annual pollutant loadings in the watershed can easily be identified in a GIS from the largest unit of the whole watershed to the smallest unit of land use polygons. This feature provides an efficient way to pinpoint the heavily polluting areas in a watershed.; An integrated form of GIS and a deterministic stormwater model were developed. The original Storm Water Management Model (SWMM) was modified and adapted on the Ballona Creek Watershed. A GIS was integrated with the modified SWMM to process the data management part of GIS/SWMM model. An procedure to generate mean areal precipitation data using the raster-based GIS was developed. The method was found to be feasible in estimating mean areal precipitation data in watershed that has a limited number of rain gauges.; A model calibration algorithm was developed and evaluated for the urban stormwater process. A total of ten storm events were used for calibration. The calibrated parameters were able to predict the model outputs with reasonable accuracy.