TY  - JOUR
T1  - Modeling of Air Pollution Caused by Traffic Flows in Manado City, Indonesia
AU - Sendow, Theo Kurniawan AU - Sulistio, Harnen AU - Wicaksono, Achmad AU - Djakfar, Ludfi 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 4
SP  - 1142
EP  - 1149
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1142.1149
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1142.1149
KW  - CO pollution
KW  -model
KW  -speed of vehicle traffic volume
KW  -wind speed
KW  -street
KW  -distance
AB  - This study was aimed to determine the level of CO concentration due to traffic flows, know the traffic
(vehicle) volume, traffic (vehicle) speed and wind speed, find out the relationship between traffic (vehicle)
volume, traffic (vehicle) speed, wind speed and CO concentration using a regression model as well as examine
the parameters influencing air pollution due to traffic flows. The primary data used in this study were the sample
data of CO tested directly in the field and the sampling was done using Ecoline 6000 gas analyzer tool. The
research sites covered, the segment of Sam Ratulangi Street in Manado representing the street locations with
many multi-rise buildings and high building density, the segment of Ahmad Yani Street in Manado representing
the street locations with many trees and the segment of Pierre Tendean Street in Manado representing the street
locations with open areas (beachsides). In this modeling, the independent variables were the total traffic
volume, the average traffic speed as well as the wind speed and direction. The dependent variable was Carbon
monoxide (CO) with increased concentrations. Using the three independent variables, there were total 7 variable
combinations used. Then, the obtained model was validated using the surveyed data. The maximum vehicle
volume was 4,281.60 pcu/h (pcu = passenger car unit) and the maximum vehicle speed was 32 km/h. Meanwhile,
the maximum wind speed generated was 7.5 km/h and the maximum level of air pollution (CO) was 12.86 ppm
(ppm = part per million). In this study, it was obtained the best model for each of the three locations. The results
showed that the air pollution (CO) level of street locations with low wind speed such as Sam Ratulangi Street
which is a closed area with many multi-rise buildings and high building density was much higher than that of
street locations with many trees growing in the median of streets with a distance of 1 m from the edge of street
pavement and also higher than that of street locations with open areas (beachsides). This is because a higher
wind speed can disseminate or divide the concentration level of air pollution (CO) to various places. Air
pollution control covers three stages namely the prevention, countermeasure and recovery of air quality.
ER  -