DATAKUSTIK CADNAA SOFTWARE
CadnaA (Computer Aided Noise Abatement) is the world’s leading software for calculation, presentation, assessment and prediction of environmental noise.
DATAKUSTIK CADNAA WINDOWS
CadnaA is developed in C/C++ and communicates perfectly with other Windows applications like word processors, spreadsheet calculators, CAD software and GIS-databases.ĬadnaA includes a multi-lingual user interface and is successfully applied in more than 60 countries all over the world. For our environmental noise modelling we use in-house techniques and for the more complex schemes (or when requested by a client) we use 3D modelling within CadnaA by DataKustik. 133 A D-81375 Mnchen Telefon +(0)89/7007629-0 Telefax +(0)89/7007629-89 email: DataKustik GmbH Software Technical Dokumentation and Training for Immission Protection Gewerbering 5 D-86926 Greifenberg Fon ++49(0)8192. With its technical capabilities and its ease of use CadnaA represents state-of-the-art technology. DataKustik GmbH Software Technische Dokumentation und Ausbildung fr den Immissionsschutz Grfelfinger Str. With more than 30 implemented standards and guidelines, powerful calculation algorithms, extensive tools for object handling, outstanding 3D visualization and the very user-friendly interface CadnaA is the perfect software to handle national and international noise calculation and noise mapping projects of any size.ĬadnaA with extension Option APL also allows calculation, assessment and presentation of air pollutant distribution. Whether your objective is to study the noise immission of an industrial plant, of a mart including a parking lot, of a new road or railway scheme or even of entire towns and urbanized areas: CadnaA is designed to handle all these tasks. Other seminars and training courses can be found on the pages of ÖAL and Datakustik.CadnaA 3.7 (All modules) (c) DataKustik GmbH *Dongle Emulator (Dongle Crack) for Aladdin Hardlock*ĬadnaA (Computer Aided Noise Abatement) is the leading software for calculation, presentation, assessment and prediction of environmental noise.