AIR POLLUTION – MONITORING MODELLING AND HEALTH

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162 Air Pollution <strong>–</strong> Monitoring, Modelling and Health Fig. 9. Selangor map with the located CAQM. Table 2 showed geographical information for the CAQM stations in Selangor, latitude and longitude had been converted to Rectified Skewered Orthomocphic (RSO) map projection, X-Y coordinate. RSO is a local map projection commonly used in Malaysia. Station Code Latitude Longtide x (meters) y (meters) Jan-04 (µg/m 3 ) Feb-04 (µg/m 3 ) CA0005 3º15.702'N 101º39.103'E 406223.4 360936.1 53 62 CA0011 3º00.620'N 101º24.484'E 379076.9 333208.9 65 73 CA0016 3º06.612'N 101º42.274'E 412048.4 344183.5 47 64 CA0023 2º59.645'N 101º44.417'E 416001.4 331336.1 33 48 CA0025 3º04.636'N 101º30.673'E 390551.5 340581.4 54 61 CA0048 3º19.592'N 101º15.532'E 362596.0 368240.6 57 68 CA0053 2º56'37.81N 101º41'54.25E 411326.1 325756.9 33 45 CA0054 3º06.376'N 101º43.072'E 413529.3 343750.0 44 77 Table 2. Geographical information for the CAQM stations in Selangor.
Mapping the Spatial Distribution of Criteria Air Pollutants in Peninsular Malaysia Using Geographical Information System (GIS) 163 IDW interpolations for the dispersion PM 10 concentration in Kuala Lumpur was computed by the GIS software validate with the in-situ monitoring (section 2.2.1). Then, the result will be further discussed in section 2.2. GIS software integrated collection of computer software and data used to view and manage information about geographic places, analyze spatial relationships, and model spatial processes. GIS provides a framework for gathering and organizing spatial data and related information so that it can be displayed and analyzed. 2.2 Decision making mapping IDW method interpolates the pollutants concentration to a spatial air pollutants mapping. Spatial air pollutants mapping clearly show the dispersion of pollutant in a study area and leave a visual tool to the decision maker or public. Referring to the dispersion of PM 10 concentrations in Kuala Lumpur, it is more easily been visualized the air pollution status in Kuala Lumpur. Figure 10 show the IDW interpolation of the dispersion of PM 10 concentration in Federal Territory Kuala Lumpur March 2004. Two points shown in the map are the located CAQM stations in Kuala Lumpur. Interpolation of the dispersion PM 10 concentration show the PM 10 concentrations decreasing when the distance from the CAQM station increasing. The nearest areas, Cheras, shows highest interpolate PM 10 concentration which in the range 70 <strong>–</strong> 73 µg/m 3 . The interpolation show areas of Cheras having a highest value this is due to the high Fig. 10. Dispersion of PM 10 Concentration at Kuala Lumpur March 2004.
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AIR POLLUTION - MONITORING, MODELLI
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Contents Preface IX Chapter 1 Urban
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Preface This book provides a compre
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2 Air Pollution - Monitoring, Model
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10 Air Pollution - Monitoring, Mode
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AIR POLLUTION – MONITORING MODELLING AND HEALTH

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