ANALYSIS OF CO EMISSION OF HETEROGENEOUS TRAFFIC USING CALINE 4 AT DAYA PASSENGER TERMINAL IN MAKASSAR INDONESIA

Abstract

Motor vehicles have been a primary source of CO emissions in many major cities in the world,
including in Makassar, Indonesia. The increasing of the motor vehicle under heterogeneous traffic condition
on the Daya Passenger Terminal (DPT) leads to the air pollution rise that emitted by the vehicles as
consequently. This study aims to predict the quantity and model of CO emissions distribution using the Caline
4 in DPT. In 2016, vehicle volume and CO emission data collection were conducted on 10 receptors in DPT
and meteorological data obtained from Indonesia Agency in the Makassar region. The results are the emissions
tend to be the same in 2016 and 2017 with the largest amount of CO emissions in receptor 9 and compared to
2018 decrease by 33%. The CO emission distribution model is highly influenced by wind speed and dominant
direction and has different models, which are 5, 3, 4 in 2016, 2017, and 2018 respectively. For further research,
this study is particularly useful as preliminary information related to air quality mitigation.