Determining consumption and the spatial distribution of consumption throughout the network model is a key element of modeling. Models are loaded with existing and future demands, depending on the type of analysis performed. All supporting sources, distribution pipelines and available storage within the system are supporting elements that provide service to meet these system demands. The variation of demand during the course of a day must also be accounted for during an extended period simulation (EPS). For static analyses, total system demand for various modeling conditions, such as average day, maximum day, peak hour, etc., is spatially distributed as a set of individual demand values allocated to selected junction nodes. For extended time period (EPS) analyses (e.g., water quality), additional temporal characteristics, typically represented by their respective diurnal variations (hydrographs), are also required. Generally, the spatial demand levels are first estimated for all junction nodes. The temporal effects are then adjusted based on individual consumption categories. H2OMAP Demand Allocator was developed to assist practicing engineers to greatly improve, simplify and fully automate the process of generating and allocating network consumption data for existing system conditions and for various planning horizons. (Click to enlarge the picture) H2OMAP Demand Allocator An indispensable master planning tool, H2OMAP Demand Allocator offers six highly sophisticated and fully automated methods for processing geometric polygons to accurately compute and load network models based on demand type, location, and variation. These are:     1. Geocoded meter billing data (meter consumption database)     2. Polygon Processing – spatial intersection of multiple polygon layers     3. Polygon Processing – spatial summation of consumption category area polygons     4. Closest (Nearest) Junction Method     5. Closest (Nearest) Pipe Method     6. Large users as individual point loads The first method makes use of GIS layers to automatically geocode consumption. The demand at each junction node is determined by identifying and summing all the customers/meters within its associated service area polygon. In the second method, demands are automatically calculated based upon a direct spatial intersection between demand categorization polygons (e.g., land use polygons, population polygons, pressure zone polygons, TAZ polygons, census tract polygons, meter route polygons, and others) and the demand node area coverage polygons (service area polygons). In the third method, nodal demands are calculated by summing the individually assigned consumption category polygons. Both the fourth and fifth methods work in conjunction with geocoded billing/meter data. The fourth method automatically assigns geocoded customer meters to the nearest junction demand node. (Click to enlarge the picture) In the fifth method, efficient geospatial search algorithms are used to locate the closest pipe to each meter. Demands are then assigned to the closest or furthest junction node on either side of the pipe or divided equally or based on a distance-weighted approach. (Click to enlarge the picture) In the last method, consumption levels for major users such as major industries, schools, parks, golf courses, hospitals, etc. are identified directly from their billing records and their demands are automatically assigned as individual point loads at their respective junction nodes. Within a true GIS environment, H2OMAP Demand Allocator also allows you to create, edit, manipulate, and manage all your GIS polygons and their associated data with incredible ease and astounding speed. These comprehensive capabilities will let you effectively utilize your engineering knowledge and experience and leverage your existing GIS data investments to strategically define/forecast your network demand distribution for various planning horizons in your master planning effort. Automate Water Comsumption/Demand Calculation and Distribution (Click to enlarge the picture) Automated Service Area/Boundary Polygons A complete GIS application software, H2OMAP Water Allocator also allows you to automatically create, edit, manipulate, move, and manage all your GIS polygons and their associated data with incredible ease and speed. A very powerful and efficient Thiessen polygon generation capability is provided that lets you automatically create a distinct service area polygon (contributing area) for each demand node. Thiessen polygons provide a means to divide an area into polygons by creating regions that bisect known points. These polygons typically signify the bounded region closest to each of the junction nodes. Considerable flexibility (four useful and practical methods) is also provided for defining the boundary of the Thiessen polygons to ensure accurate representation of water usage throughout the distribution system. (Click to enlarge the picture) Water Duty Calculator The Water Duty Calculator allows you to alter water duty factors as necessary to automatically generate a Total Demand that matches the Average Day Demand (ADD) value from your utility’s production/purchase records. This will ensure accurate estimation of water consumptions throughout the network model. (Click to enlarge the picture) Water Duty Developer A state-of-the-art Water Duty Developer allows you to automatically determine Water Duties (e.g., demand per unit area, i.e. gpm/acre, Lps/hectare) based on spatially located demands and polygonal landuse boundaries. The Water Duty Developer combines the areas present in a polygon coverage of Land Use data with either (1) geo-coded billing data or (2) junction demand data to automatically compute Water Duty Factors for every Land Use polygon. (Click to enlarge the picture) Application Dependent - H2OMAP Water Suite.