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Abstarct: <br /> <br /> <br /> <br /> <br /> Caline4 model is used to predict NO and CO concentration around the roadway on Corridor II TransJakarta bus lane. By the corridor implementation, there is a change of motor vehicle total volume, which passes by that road...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/6453 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Abstarct: <br />
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Caline4 model is used to predict NO and CO concentration around the roadway on Corridor II TransJakarta bus lane. By the corridor implementation, there is a change of motor vehicle total volume, which passes by that roadway. Model is implemented to predict NO and CO concentration due to the change of emission loading from non TransJakarta motor vehicle, because of the change of street capacity. This paper objective is to validate modeling result with observation at receptor location near roadway. Scenario is fixed with meteorology period <br />
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which is dry (April) and wet (SeptemberOctober) season, and the selection of traffic management which causes the change of average speed on that lane. Caline4 model is developed based on a Gaussian equation and needs input dataset, they are source strength, meteorology, location geometry, and location characteristics, so that the output will be resulted in NO and CO average pollutant concentration at a receptor position during one hour. This modeling result shows that Caline4 model can moderately represent the concentration to the actual traffic condition. <br />
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Validation is done with using statistic hypothesis and comparison accuracy between the model results with monitoring data. The validation result of statistic hypothesis shows that 50% from the total hypothesis test from the result of the model is rejected due to the monitoring data. The rejection of the hypothesis generally happen on the morning peak because of the rapid change of stability in the atmosphere. Model accuracy validation by means of the comparison of roadside monitoring to modeling result shows that is still within a factor of 2 - 3, especially for CO. <br />
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Model has not been satisfactory predicted NO and ambient monitoring validation. So it can be concluded that validation exercise is more suitable to be carried out with roadside monitoring and for inert pollutant such as CO <br />
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