Why RiverFlow2D is your best choice?
RiverFlow2D is more than a flood simulation model since beside its exceptional performance for flood risk assessments it can be used for erosion and deposition assessments, water quality evaluations, mud and debris flows, and more.
More Capable:
RiverFlow2D can be applied to large river reaches. The RiverFlow2D model has been applied by NOAA North Central River Forecast Center to simulate flooding through a 420 miles (~670 km) of the Red River of the North in the USA. The model powerful GPU engine is able to route 60-days hydrograph in 36 minutes.
More Powerful:
RiverFlow2D accurately replicates measured high water marks from the 2011 flooding in t he Red River of the North
RiverFlow2D predicted maximum flood extent compares remarkably well with the actual flooding captured by aerial images.
RiverFlow2D has been validated with hundreds of tests. RiverFlow2D generates zero volume conservation errors in all applications. Other models may produce errors that may appear to be small, but could be significant in some applications. For instance in a a 55,000 acre-ft ( 68 MM m3) dam break a ~0.1%
More Accurate:
RiverFlow2D has proven to be up to 200X faster than other models. Standardized tests such as the UK benchmarks that used worldwide to verify a model capabilities to correctly simulate hydraulic flooding using high-resolution modelling, have demonstrated that RiverFlow2D can be 40X faster than HEC-RAS 2D and 200x faster than SHR-2D.
Faster:
If you would like to replicate these tests contact us to request the data files
RiverFlow2D is fully integrated with Aquaveo’s SMS, providing all the tools to enter data and visualize results.
Easier to use:
RiverFlow2D can be the most affordable and cost-effective option for 2D modeling projects. Years of experience with hundreds of projects The time spent trying to make a model work and waiting for slow runs, are the most important factors affecting the project expenses. RiverFlow2D affordable price, ease of use, stability and unmatched speed makes it the most cost effective modeling option to optimize your project budget.
