Evaluation of interpolation techniques and multicriteria decision making approaches for urban noise mapping in GIS

Lo, Raphael Kenneth Ka Kiong (2017) Evaluation of interpolation techniques and multicriteria decision making approaches for urban noise mapping in GIS. [Project Paper] (Submitted)

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Abstract

Due to rapid urban development and massive population increase, nowadays many cities are experiencing the problem of noise pollution. This study aims at making use of the spatial technology of GIS in assessment and mapping noise distribution in Sri Serdang, Seri Kembangan area. A total of 15 sampling locations were selected for the collection of noise data classified based on residential, educational and commercial land uses. The Malaysia's Department of Environmental (DOE) standards of permissible noise values were used as limits for the designated land uses. Noise recordings were conducted any one day from weekday and weekend respectively, with three periods of the day - morning, afternoon and night. The lowest daily average of noise ranged between 65 dB (A) and 80 dB (A) across all the land uses. The spatial distributions were then evaluated using several G IS-based spatial interpolation methods. For interpolations of specified parameter, Inverse Distance Weighting (IDW), Kriging and Radial Basis Function (RBF) methods were used. The most optimal model for interpolation was selected by cross validation and error evaluation methods, such Root Mean Square Error (RMSE), Mean Error (ME) and Mean Absolute Error (MAE). The results showed that kriging method with specified spherical semivariogram model is better than other methods for prediction of noise property. It has the lowest RMSE (2.968), MAE (2.405), and ME (0.205) values compared than other interpolation methods. Finally, the noise map was prepared, using the best interpolation method in Geographical Information System environment.

Item Type:	Project Paper
Subjects:	T Technology > TD Environmental technology. Sanitary engineering
Faculty:	Faculty of Engineering
Depositing User:	Ms Siti Mariam Giman
Date Deposited:	21 Oct 2025 07:26
Last Modified:	21 Oct 2025 07:26
URI:	http://psaspb.upm.edu.my/id/eprint/2516

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