Water systems quickly become complex, whether you're dealing with a city's drainage system, a vast river network, irrigation canals or drainage of a land development project. Using reliable and suitable models is essential to gain insights, improve your strategies and make forecasts. To ensure we always use the best models, we combine traditional modelling approaches and software with in-house developed techniques and tools.
More accurate: rely on scientific yet pragmatic models
At Sumaqua, we strive to use the most suitable model type for any system, always configured using scientifically proven approaches. We developed step-wise calibration and validation procedures, published in international scientific journals, to ensure our models perform well under extreme conditions.
Our unique approach
tailored, ultra fast and more accurate models
State-of-the-art hydrological models suitable for spatial scenario analyses
Urban drainage and flood models using radar data, and capable of simulating a vast range of source control measures
Conceptual reservoir-type models that can emulate complex dynamics of river systems, including floods, regulating structures and tidal effects.
Machine learning techniques to turn process data from various sources in powerful predictive models
Get tailored models for your system and your application
We're continuously developing new modelling techniques, calibration procedures and faster simulation engines. We have unique expertise in developing ultra flexible and fast models. Our own suite of models is particularly suitable for solving optimization problems, strategic planning, scenario investigations and long term simulations.
We take a close look at your integrated system to build smarter models: processes that affect your needs most are modelled in depth, while we can simplify the others. This gives you reliable models you that can adjust and use effectively, without the redundant complexity. Hereto, we combine different model types, including detailed hydrodynamic models, parsimonious and conceptual models, and powerful data-driven and machine learning techniques.
Hydrological modelling, both lumped and spatially distributed
River and floodplain hydrodynamics
Urban drainage systems and overflow impacts
Source control measures and their impacts, including green roofs, retention basins and infiltration basins
River - sewer interactions
Water availability and supply
Physico-chemical water quality modelling
Relevant use cases