The application of MI pro in the management of air quality and noise pollution at construction sites
Good air quality and low noise pollution are two of the many factors that can be considered as contributors to healthy and comfortable living conditions. In the context of their management, the amount of environmental data required for conducting analysis, planning and decision making are abundant a...
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| Format: | Thesis |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/3881/1/KungTeckLiMFKA2006.pdf |
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| Summary: | Good air quality and low noise pollution are two of the many factors that can be considered as contributors to healthy and comfortable living conditions. In the context of their management, the amount of environmental data required for conducting analysis, planning and decision making are abundant and too complex. Hence, a more systematic data handling and analysis deemed necessary. Therefore, this study looks at the application of Geographical Information System (GIS) in solving the problem. This system is designed to provide a cost–effective, efficient and faster way of handling the air quality and noise pollution data for construction sites and also to enhance the data organisation structure. In order to make GIS a useful system and capable of producing good results within a short period, it must first be able to receive and interprete information in an effective manner. Organisations that ultilise environmental infomation for decision making purposes at construction sites must have a thorough understanding of air quality and noise pollution data. The output produced by this system are presented in the form of digital graphics such as thematic maps, graphs, charts and histogram while most textual outputs are displayed as tables and forms. By manipulating the data in GIS database, a user is able to conduct an analysis and implement future plans to manage air quality and noise pollution level on construction sites at a much faster pace. In this study, it is proved that GIS can be used to develop an air and noise pollution database system and it can also be considered as a good decision making tool for air and noise pollution control at construction sites. |
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