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Strategic noise maps are usually produced for large scale areas, cities, agglomerations, etc. Some objects, mainly industrial plants, are too small to be given proper importance on such noise maps, but nevertheless they present a disturbance for nearby population. There is a demand for better insight in such problems which take place on small spatial scale. The methods used for industry noise in strategic noise mapping, such as ISO 8297 method, are neglecting some important issues, like source directivity problems, have limited scope of application, and do not give good results in areas close to the noise source. This paper suggests methodology of measurements, preparation of input data, and modeling, adjusted to deal with shortcomings in noise mapping of industrial plants. Reverse engineering, as a correlation between measurement results and a noise map, and a critical process for obtaining good results in a noise map, is emphasized in this paper. Assessment of quality improvement, if any, obtained by this procedure is made through comparison of results from different methods of noise mapping. Application of small scale noise mapping of industrial plants in environmental impact assessment, industry noise prediction, protection of noise exposed population etc, is given in examples from practice. |
