| Abstract: |
GIS Data can be used to load hydraulic models which are used to analyze and design critical infrastructure important to every zip code in every country. Data from multiple GIS layers are fed into hydraulic calculation engines and converted into useful information directly within the GIS platform. This information can be used to analyze an existing system, do forensic analysis and also compare an unlimited number of 'What-if' future designs side-by-side in both tabular and graphical formats. Genetic algorithm optimization engines can be used to calibrate the system using field data, find potential problem areas and also design the system based on 'limited budget, best performance or multi-objective' criteria.
GIS users can natively leverage the geodatabase architecture for modeling over extended periods of time. Geospatial modules help you allocate demands and loads from geocoded meters and elevation from digital maps automatically, while extracting data and topology from your geospatial data sets, SCADA and external databases. GIS data can be interpolated to fill missing information and cleaned using geospatial tools. In addition to reducing construction and energy costs, water professionals can simulate contamination, fires flow scenarios, pipe breaks, and power outages and find the best operational strategies to address them. Water consumption, flow monitoring, land use, or census data from GIS can be loaded to automatically estimate and import sanitary inflows. Fully-dynamic engines are able to model overflows, looped storm and sewer networks, wastewater pump stations, and even open channels and detention ponds. GIS information processed with dynamic engines can be used to stay in compliance with NPDES and EPA regulations. GIS professionals are able to implement hydraulic and hydrologic tools and make important decisions for advancing human civilization. |