Version 6.4 now available at https://licensing.ewater.org.au/

 

v6.4 NEW RELEASE

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music – model for urban stormwater improvement conceptualisation – is designed to help urban stormwater professionals visualise possible strategies to tackle urban stormwater hydrology and pollution impacts.

   

Pluviograph Rainfall Data Tool demonstration

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As an aid to decision-making, music predicts the performance of stormwater quality management systems. It is intended to help organisations plan and design (at a conceptual level) appropriate urban stormwater management systems for their catchments.

music is designed for urban stormwater engineers, planners, policy staff and managers in consultancies and state, regional and local government agencies.

music is designed for use by a range of urban stormwater professionals. It requires a sound knowledge of urban stormwater management principles and practices. The music software, with its user-friendly interface and supporting documentation, enable users to quickly commence applying music to their own real applications.

Since music was first developed in 2001, the software has been used by thousands of urban stormwater professionals working in private practice and in state, regional and local government agencies throughout Australia.

music guidelines have been, or are being, written for a range of locations across Australia, including Melbourne, Sydney’s drinking water catchments, South East Queensland, Brisbane, Gold Coast, Mackay, Perth and Darwin. Environmental and engineering consultants around Australia use music every day to design urban development proposals that meet Water Sensitive Urban Design standards. music is even being used to look at the effects of wetlands in agricultural catchments near the Great Barrier Reef.

You can also view a list of music case studies on the eWater website.

music provides a user-friendly interface, to allow complex stormwater management scenarios to be quickly and efficiently created, and the results to be viewed using a range of graphical and tabular formats. This reduces the uncertainty surrounding the planning of stormwater management strategies, and may generate substantial cost-savings.