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DRAINS: Stormwater Drainage System design and analysis software for Australian practice.
Developed and supported locally in Australia, DRAINS allows users to design and analyse stormwater drainage systems, produce summary graphs and tables, and create pipe long-section drawings.
DRAINS incorporates the latest Australian Rainfall and Runoff (AR&R) guidelines.
- Draw drainage system components such as sub-catchments, pits, pipes, detention basins, channels and overflow routes.
- Use several available hydrological models recommended by the AR&R guidelines.
- Solve the full unsteady flow equations in pipes, channels and overflow routes.
DRAINS is available as a Subscription and USB Perpetual licence in multiple versions.
All DRAINS licences include the Australian Rainfall and Runoffs’ (AR&R) Initial Loss – Continuing Loss (IL-CL) and Horton (ILSAX) hydrological models, and are capable of analysing AR&R temporal patterns and design procedures.
Note: When referred to below, a “link” is a pipe, channel, pump, orifice link or weir link.
Three additional modules are available for DRAINS.
Storage Network Routing Module
The Storage Network Routing Module adds the RORB, RAFTS and WBNM storage routing hydrological models, useful when modelling large urban or rural sub-catchment areas where estimating the time of concentration with time area routing might be difficult.
DRAINS RAFTS does not rely on XP Rafts and is not affected by the discontinuation of XP Rafts by Innovyze.
The GIS Module is useful where you need to interface with GIS systems that support ESRI shapefiles or Mapinfo MID/MIF files. This module allows transfer of data and results between DRAINS and GIS.
Rational + Extended Rational Method Hydrological Module
The Rational + Extended Rational Method Hydrological Module adds the ability to model the rational method procedures with ARR87, ARR2019 and AS3500.3.
The Extended Rational Method allows users to produce hydrographs to improve detention basin analysis and utilise the full unsteady hydraulic model. This is achieved by including temporal patterns as part of the analysis and including the ability to model ensembles of storms from ARR2019.