AIR POLLUTION – MONITORING MODELLING AND HEALTH

More documents

Recommendations

Info

168 Air Pollution – Monitoring, Modelling and Health Territory Kuala Lumpur, is in the range of 72 – 75 µg/m 3 . The highest maximum PM 10 concentrations shows are around the areas of station CA0016. Areas of Cheras, Damansara, Sungai Besi and Ampang show the PM 10 concentration between 69 – 72 µg/m 3 . Next, areas of Sentul show about 63 – 66 µg/m 3 of PM 10 concentrations during the Southwest Monsoon. Fig. 15. Mean PM 10 Concentration at Kuala Lumpur during Southwest Monsoon May-Sep 2004-2008. The dispersion of PM 10 concentration during Southwest monsoon or dry season is show similarity with the overall maximum PM 10 concentration from year 2004 until 2008. During dry season or Southwest monsoon, the average of the PM 10 concentration show higher value than wet season or Northeast monsoon. As well as the maximum PM 10 concentration during Southwest monsoon also show higher than during Northeast monsoon. From Figure 15 and Figure 16, the highest PM 10 concentration show during Southwest Monsoon. The maximum concentration of PM 10 during Southwest Monsoon is 75 µg/m 3 , whereas, during Northeast Monsoon the PM 10 concentration is 58 µg/m 3 . The overall maximum PM 10 concentrations from year 2004 until 2008, it can be said similar with the mean PM 10 concentration during Northeast monsoon and maximum PM 10 concentration during Southwest monsoon. In other word, the overall maximum PM 10 concentrations from year 2004 till 2008 most of it are contribute by the maximum PM 10 concentrations during the dry season, Southwest monsoon. However, the maximum PM 10 concentration shown in the Figure 12, Maximum PM 10 concentration from year 2004 till 2008 is 118 µg/m 3 . This value is not found in the PM 10 concentration during monsoon, it can be said that it is in intermediate of the monsoon.
Mapping the Spatial Distribution of Criteria Air Pollutants in Peninsular Malaysia Using Geographical Information System (GIS) 169 Fig. 16. Maximum PM 10 Concentration at Kuala Lumpur during Southwest Monsoon May- Sep 2004-2008. 2.2.1 Validation of IDW interpolation IDW interpolations for the dispersion PM 10 concentration in Kuala Lumpur have to validate with the in-situ monitoring. Due to the differences device are using to detect the PM 10 concentration, one relationship have to make between the data of both devices. The DOE PM 10 concentration data is the main reference in this study. The compatible in-situ PM 10 concentrations, after that, are used to validate the interpolation of the dispersion. Equation 1, the regression between CAQM data and Casella Microdust Pro (PM 10 detection device) data (Figure 17), had been formed. Equation 1 showed the linear relationship between CAQM data and Casella Microdust Pro data with the correlation coefficient of 0.148, weak relationship: y 46.173 0.098x (1) where, y is CAQM PM 10 concentrations and x is Casella Microdust Pro PM 10 concentrations respectively. However, equation 1 makes the Casella Micodust Pro data more compatible to the CAQM data.
Page 1 and 2:
AIR POLLUTION - MONITORING, MODELLI
Page 5 and 6:
Contents Preface IX Chapter 1 Urban
Page 9:
Preface This book provides a compre
Page 12 and 13:
2 Air Pollution - Monitoring, Model
Page 14 and 15:
Page 16 and 17:
Page 18 and 19:
Page 20 and 21:
10 Air Pollution - Monitoring, Mode
Page 22 and 23:
Page 24 and 25:
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
Page 58 and 59:
Page 60 and 61:
Page 62 and 63:
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
Page 100 and 101:
Page 102 and 103:
Page 104 and 105:
Page 106 and 107:
Page 108 and 109:
Page 110 and 111:
100 Air Pollution - Monitoring, Mod
Page 112 and 113:
Page 114 and 115:
Page 116 and 117:
Page 118 and 119:
Page 120 and 121:
Page 122 and 123:
Page 124 and 125:
Page 126 and 127:
Page 128 and 129: 118 Air Pollution - Monitoring, Mod
Page 228 and 229:
Page 230 and 231:
Page 232 and 233:
Page 234 and 235:
Page 236 and 237:
Page 238 and 239:
Page 240 and 241:
Page 242 and 243:
Page 244 and 245:
Page 246 and 247:
Page 248 and 249:
Page 250 and 251:
Page 252 and 253:
Page 254 and 255:
Page 256 and 257:
Page 258 and 259:
Page 260 and 261:
Page 262 and 263:
Page 264 and 265:
Page 266 and 267:
Page 268 and 269:
Page 270 and 271:
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Page 286 and 287:
Page 288 and 289:
Page 290 and 291:
Page 292 and 293:
Page 294 and 295:
Page 296 and 297:
Page 298 and 299:
Page 300 and 301:
Page 302 and 303:
Page 304 and 305:
Page 306 and 307:
Page 308 and 309:
Page 310 and 311:
Page 312 and 313:
Page 314 and 315:
Page 316 and 317:
Page 318 and 319:
Page 320 and 321:
Page 322 and 323:
Page 324 and 325:
Page 326 and 327:
Page 328 and 329:
Page 330 and 331:
Page 332 and 333:
Page 334 and 335:
Page 336 and 337:
Page 338 and 339:
Page 340 and 341:
Page 342 and 343:
Page 344 and 345:
Page 346 and 347:
Page 348 and 349:
Page 350 and 351:
Page 352 and 353:
Page 354 and 355:
Page 356 and 357:
Page 358 and 359:
Page 360 and 361:
Page 362 and 363:
Page 364 and 365:
Page 366 and 367:
Page 368 and 369:
Page 370 and 371:
Page 372 and 373:
Page 374 and 375:
Page 376 and 377:
Page 378 and 379:
Page 380 and 381:
Page 382 and 383:
Page 384 and 385:
Page 386 and 387:
Page 388 and 389:
Page 390 and 391:
Page 392 and 393:
Page 394 and 395:
Page 396:
show all

AIR POLLUTION – MONITORING MODELLING AND HEALTH

Create successful ePaper yourself

Delete template?

Save as template?