Hamoda, M F (2008) Modeling of construction noise for environmental impact assessment. Journal of Construction in Developing Countries, 13(1), pp. 79-89. ISSN 1823-6499
Abstract
This study measured the noise levels generated at different construction sites in reference to the stage of construction and the equipment used, and examined the methods to predict such noise in order to assess the environmental impact of noise. It included 33 construction sites in Kuwait and used artificial neural networks (ANNs) for the prediction of noise. A back-propagation neural network (BPNN) model was compared with a general regression neural network (GRNN) model. The results obtained indicated that the mean equivalent noise level was 78.7 dBA which exceeds the threshold limit. The GRNN model was superior to the BPNN model in its accuracy of predicting construction noise due to its ability to train quickly on sparse data sets. Over 93% of the predictions were within 5% of the observed values. The mean absolute error between the predicted and observed data was only 2 dBA. The ANN modeling proved to be a useful technique for noise predictions required in the assessment of environmental impact of construction activities.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction noise; environmental health; neural networks; prediction models |
| Index terms: | Kuwait, environmental impact, neural network, construction site, accuracy, prediction model, artificial neural network, modelling, propagation, construction noise, construction activity, environmental impact assessment, environmental health |
| Subjects: | Geography, professional development, environmental health, environmental impact, engineering process, artificial intelligence, construction operations, analytical methods, prediction and forecasting, work location, modelling and simulation |
| Topics: | Sustainability, Research Practice, Geographical Context, Information Management, Engineering Principles, Site Management, Digital Applications |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here