Interactive Deluge (ML) allows the site to be assessed by applying an amount of rainfall to the surface to establish likely channelling and ponding, similar to the standard Deluge option. However, Interactive Deluge distinguishes itself by utilizing a machine learning algorithm accessed via a web service which enables faster simulations for some large sites and more stable results. These results will be utilized to establish the optimum locations for Stormwater Controls (SWCs). Unlike the traditional deluge which does not take into consideration the SWCs, the Interactive Deluge assessment considers Pond or Swale Stormwater Controls placed by the user, with slopes being approximated for speed. This helps you determine the effectiveness of the pond and swale locations in intercepting overland flows.
When the Interactive Deluge option is selected, a call will be made out to the web service, uploading surface information and subsequently receiving back data in the form of a bitmap image. This image shows a perceptually uniform sequential colormap in the Viridis color scheme, based on depths ranging from 0 m to 1.5 m. This image is then overlaid onto the existing site plan for comprehensive analysis. During this process, an analysis progress form will be displayed to keep you informed of the computational progress.
