Our Rapid Model Build toolset speeds up the process of generating input data for hydraulic models, by generating sub-catchments and assessing contributing areas.
Our sub-catchment automation toolset is built in ArcGIS and aggregates polygons from the source data using a set of rules around elevation, land type and distance to define the area draining to each sewer. Small sub-catchments can be combined and edits made, with this automation providing over 80% additional time and cost savings for this stage of the model build. The tool has been used to build models for Wessex Water, as well as on projects in North America and Canada.
The contributing area tool uses machine learning to predict specific hydraulic model inputs, such as the percentage rainfall from sub-catchment contributions and road and roof contributing areas, enabling water companies to create wastewater catchment models 50% quicker than standard approaches.
Making use of any existing wastewater hydraulic models available for comparable catchments, the tool automatically learns from these datasets to calculate the runoff contribution to the sewer network in areas without data. This enables the creation of a full wastewater catchment model, identifying those areas at risk of sewer flooding and the impact on surrounding streets and homes. Proposed solutions can then be developed and tested within the model.
In situations where limited data exists, or an initial assessment is required, our sewer capacity assessment tool can be used as an alternative to a full hydraulic model.