Citation

Wong, Kok Seng and Chew, Yee Jian and Ooi, Shih Yin and Pang, Ying Han (2021) Toward forecasting future day air pollutant index in Malaysia. The Journal of Supercomputing, 77 (5). pp. 4813-4830. ISSN 0920-8542, 1573-0484

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Abstract

The association of air pollution and the magnitude of adverse health effects are receiving close attention from the world. The effects of air pollution were found to be most significant for children, elderly, and patients with preexisting respiratory problems. The existing API forecast system is capable of predicting the air quality based on the pollutant concentrations before critical levels of air pollution are exceeded. However, there is no API forecasting system available in Malaysia that can predict the coming day API readings. This paper aims to propose an API forecast system that utilizes the hourly API in Malaysia to predict the next day API. The proposed solution allows sensitive populations to plan ahead of their daily activities and provide governments with information for public health alerts. We also propose strategies for aggregated-level predictions within the region. Nevertheless, it can be extended across the region, especially in the less economically developed regions across the world. We conduct experiments on the public API dataset to demonstrate the viability of the proposed solution.

Item Type:	Article
Uncontrolled Keywords:	Air—Pollution
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD878-894 Special types of environment Including soil pollution, air pollution, noise pollution
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	09 May 2021 14:59
Last Modified:	09 May 2021 14:59
URII:	http://shdl.mmu.edu.my/id/eprint/8705

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