Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique

• Main Authors: Yahaya, Noor Zaitun, Ghazali, Nurul Adyani, Ahmad, Sabri, Mohammad Asri, Mohammad Akmal, Ibrahim, Zul Fahdli, Ramli, Nor Azman
• Format: Article
• Language: English
• Published: Thai Society of Higher Eduction Institutes on Environment 2017
• Subjects: TA1-2040 Engineering (General). Civil engineering (General)
• Online Access: http://eprints.usm.my/38317/1/Analysis_of_Daytime_and_Nighttime_Ground_Level_Ozone_Concentrations.pdf; http://eprints.usm.my/38317/; https://doi.org/10.14456/ea.2017.14

This paper investigated the use of boosted regression trees (BRTs) to draw an inference about daytime and nighttime ozone formation in a coastal environment. Hourly ground-level ozone data for a full calendar year in 2010 were obtained from the Kemaman (CA 002) air quality monitoring station. A BRT...