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Collaborative Web-Based System for Knowledge Transfer to Distributed Groups of Users Within Strategic Noise Mapping Domain

Collaborative Web-Based System for Knowledge Transfer to Distributed Groups of Users Within Strategic Noise Mapping Domain

Marcin Dąbrowski
Copyright: © 2013 |Volume: 4 |Issue: 4 |Pages: 11
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781466635050|DOI: 10.4018/ijdst.2013100104
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MLA

Dąbrowski, Marcin. "Collaborative Web-Based System for Knowledge Transfer to Distributed Groups of Users Within Strategic Noise Mapping Domain." IJDST vol.4, no.4 2013: pp.39-49. http://doi.org/10.4018/ijdst.2013100104

APA

Dąbrowski, M. (2013). Collaborative Web-Based System for Knowledge Transfer to Distributed Groups of Users Within Strategic Noise Mapping Domain. International Journal of Distributed Systems and Technologies (IJDST), 4(4), 39-49. http://doi.org/10.4018/ijdst.2013100104

Chicago

Dąbrowski, Marcin. "Collaborative Web-Based System for Knowledge Transfer to Distributed Groups of Users Within Strategic Noise Mapping Domain," International Journal of Distributed Systems and Technologies (IJDST) 4, no.4: 39-49. http://doi.org/10.4018/ijdst.2013100104

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Abstract

The Environmental Noise Directive (Directive 2002/49/EC) obliged competent authorities to prepare strategic noise maps (SNM) and actions plans (AP) for the major roads, railways, airports and agglomerations with more than 100 000 inhabitants. Both SNM and AP have to be updated every five years, that is why procedures of creating, using and administrating of SNM and AP can be considered as constant processes. These processes are very complex and require specialized knowledge and practical skills within noise mapping area and connected with them proper experience of SNM usage and AP enforcement. Unfortunately as experience shows, Polish administrators of SNM are not competent enough to meet these requirements. The problem outlined above has become the basis to develop web-based system for knowledge transfer to SNM administrators, covering such key issues as: the preparation of guidelines for SAM, gathering the appropriate input data for acoustic model and the subsequent verification of developed SAM.

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