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Noise Prediction Models and Geographic Information Systems, a sound combination

Journal article published in 1 by Jantien Stoter
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

The design and development of large infrastructure projects, like rail-and highways, demand good environmental management. GIS is increasingly important in the study on the possible effects of planned infrastructure on the environment. When planning new infrastructure, noise is one of the most important factors to be considered. Noise has a widespread spatial influence and the effects can be very drastic. GIS can be a very useful tool to monitor the noise effects on the environment. The use of GIS can increase the quality of the study on noise pollution. This will support environmental management. At the Delft University of Technology, Faculty of Civil Engineering and Geosciences, we are working on a research project to integrate noise prediction models and GIS (Geographic Information Systems). The aim is to improve the study on noise effects supporting the environmental management and to reduce the costs of these studies as well.