Research Article
Predictive Ability of Improved Neural Network Models to Simulate Pollutant Dispersion
Table 2
Vehicular data in Dhaka in 2004.
| Vehicle emission |
Emission factors |
Number of vehicles on the road | Emission categories | of total emission |
Emission categories |
Emission factors gram/km |
Vehicle type |
Number | CO | PM10 | CO | PM10 |
| Cars | 66.5 | 7.9 | Gasoline vehicle | 25 | 0.1 | Motor car | 81703 | Taxis-CNG | 2.8 | 0.5 | CNG taxis | 5 | 0.03 | Jeep/station wagon/microbus | 30581 | 3-wheel taxis-CNG | 3.8 | 0.7 | CNG auto-rickshaws | 5 | 0.03 | Taxi | 4389 | LD diesel | 3.9 | 18.6 | Diesel vehicles | 5 | 0.80 | Bus | 2140 | Buses | 8.2 | 38.9 | Buses | 10 | 1.60 | Minibus | 6409 | Trucks | 5.9 | 28.1 | Trucks | 10 | 1.60 | Truck | 18214 | Motorcycles | 8.9 | 5.3 | Motorcycles | 5 | 0.10 | Auto-rickshaw/tempo | 29120 |
| Total | 100 | 100 | | | | Motor cycle | 112060 |
|
Emission (): diesel and nondiesel vehicles | | | | | | Diesel | 18 | 82.4 |
Total CO emissions from vehicles in 2004 = 71,793 tons Total PM10 emissions from vehicles in 2004 = 2412 tons | | Nondiesel | 82 | 17.6 | | | | | |
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