DocumentCode :
2231951
Title :
GIS-based city noise mapping research and development
Author :
Tao, Pei ; Chen, Yunping ; Tong, Ling
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6729
Lastpage :
6732
Abstract :
In today´s society, as town roads and construction infrastructure has been improved gradually, the noise pollution has effected the environment more and more seriously. The noising map which has unique way to show the distribution of noise in the real-time and can monitor the situation of the noise effectively, it can let user master the situation of noise pollution clearly, and the application of noising map has become a main research direction of denoising work in recent years. This paper mainly analyzed the domestic and foreign research of the noising map and the main noise prediction method, selected the RLS90 model to develop the software. In the development, we used the ArcGIS Engine setups and Visual Studio programming environment, using the object-oriented development method and the GIS component second development function to develop a relatively perfect function noise prediction and noising map generation system based on the geographic information system.
Keywords :
computerised monitoring; geographic information systems; geophysics computing; noise pollution; object-oriented programming; town and country planning; visual programming; ArcGIS Engine; GIS-based city noise mapping; RLS90 model; construction infrastructure; domestic research; foreign research; geographic information system; noise distribution; noise map generation system; noise pollution; noise prediction method; object-oriented development; situation monitoring; software development; town road; visual studio programming; Cities and towns; Noise; Noise level; Object oriented modeling; Pollution; Predictive models; Roads; ArcGIS Engine development Kit; geography information system; noise prediction; prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352340
Filename :
6352340
Link To Document :
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