Abstract
Air pollution has been a significant problem in Malaysia and has a substantial impact on agricultural production. Particulate matter 10 (PM10) is one of the major pollutants released by industries where it affects agricultural production by disrupting the photosynthesis process and the plant growth. In Malaysia, Kedah as the second largest producer of paddy and rice has four monitoring stations only to analyse the air quality. The lack of air monitoring stations around the state has put agricultural areas at elevated risk of being affected by air pollutants. Hence this research aims to simulate a backward trajectory HYSPLIT simulation from the air monitoring station to identify the source of PM10 emission coordinate and to conduct a forward concentration simulation to analyse the agricultural area affected by the pollutants. A starting date, meteorological data file, total runtime of simulation and coordinates of the monitoring stations during southwest monsoon season in 2019 were used as input for backward trajectory simulation while the obtained source emission coordinate was used as the input for forward concentration simulation. The result from the backward trajectory simulation shows that the source of emission coordinate was within Bayan Lepas after analysing every potential intersection on the map and the industries surrounding it. As revealed in the forward concentration simulation result, there were six agricultural areas exposed to an air pollutant concentration level that are low and moderate. It can be concluded that these exposed agricultural areas are within the safe limit.
References
Alzubaidi, G., Hamid, F., & Abdul Rahman, I. (2016). Assessment of natural radioactivity levels and radiation hazards in agricultural and virgin soil in the state of Kedah, North of Malaysia. The Scientific World Journal.
Department of Environment. (2019). API Calculation.
Firuza, B. M., & Nather, K. I. (2011). Environmental management strategy for Shah Alam solid waste transfer station, Malaysia. Malaysian Journal of Science, 30(1), 59-65.
Free Malaysia Today. (2022). Help padi farmers grow five crops in two years, govt told. https://www.freemalaysiatoday.com/category/nation/2022/05/23/help-padi-farmers-grow-five-crops-in-two-years-govt-told/
Halima, N. D. A., Mauluda, K. N. A., Lunb, K. C. H., Jaafara, W. S. W. M., & Amri, F. (2023). Air pollution prediction based on changes in monsoon wind direction by using trajectory-geospatial approach. Jurnal Kejuruteraan, 35(2), 303-316.
Ibrahim, M. Z., Ismail, M., & Hwang, Y. K. (2012). Mapping the spatial distribution of criteria air pollutants in Peninsular Malaysia using geographical information system (GIS), Tech. Air Pollution: Monitoring, Modelling And Health, 153.
Jyothi, S. J., & Jaya, D. S. (2010). Evaluation of air pollution tolerance index of selected plant species along roadsides in Thiruvananthapuram, Kerala. Journal of Environmental Biology, 31(3), 379-386.
Kairan, O., Zainudin, N. N., Hanafiah, N. H. M., Jafri, N. E. A. M., Fatiha, F., & Suhami, M. F. M. (2021). Temporal analysis of air pollutants in the most affected monsoon region. Indonesian Journal of Electrical Engineering and Computer Science, 23(1), 229-236.
Kulshrestha, U., & Saxena, P. (2016). Plant Responses to Air Pollution. Singapore: Springer.
Kurnaz, G., & Demir, A. S. (2022). Prediction of SO2 and PM10 air pollutants using a deep learning-based recurrent neural network: Case of industrial city Sakarya. Urban Climate, 41, 101051.
Leh, F. C. (2016). Trends and policy implications of the location selection of electric and electronic firms in Malaysia: A case study of the Penang and Kulim High-Tech Parks. Malaysian Journal of Society and Space, 12, 119-132.
Liu, A. (2006). Tourism in rural areas: Kedah, Malaysia. Tourism Management, 27(5), 878-889.
Ma, Y. F., Du, B. Y., Wang, Q., Hu, Q. Q., Bian, Y. S., Wang, M. B., & Jin, S. Y. (2019). Analysis of the atmospheric pollution transport pathways and sources in Shenyang, based on the HYSPLIT model. In IOP Conference Series: Earth and Environmental Science. Vol. 351, No. 1, p. 012030. IOP Publishing.
Munthe, B. C., Nangoy, F., & Schmollinger, C. (2019). Area burned in 2019 forest fires in Indonesia exceeds 2018 - Official, Jakarta (Reuters).
Rovira, J., Sierra, J., Nadal, M., Schuhmacher, M., & Domingo, J. L. (2018). Main components of PM10 in an area influenced by a cement plant in Catalonia, Spain: Seasonal and daily variations. Environmental Research, 165, 201-209.
Satari, S. Z., Zubairi, Y. Z., Hussin, A. G., & Hassan, S. F. (2015). Some statistical characteristic of Malaysian wind direction recorded at maximum wind speed: 1999-2008. Sains Malaysiana, 44(10), 1521-1530.
Strezov, V., Zhou, X., & Evans, T. J. (2021). Life cycle impact assessment of metal production industries in Australia. Scientific Reports, 11(1), 10116.
Ynshung. (2022). API- Malaysia. https://github.com/ynshung/api-malaysia
Zainal, S., Zamre, N. M., & Khan, M. F. (2021). Emission level of air pollutants during 2019 pre-haze, haze, and post-haze episodes in Kuala Lumpur and Putrajaya. Malaysian Journal of Chemical Engineering and Technology (MJCET), 4(2), 137-154.
Zizi, N. M., Noor, N. M., Hashim, N. I. M., & Yusuf, S. Y. (2018). Spatial and temporal characteristics of air pollutants concentrations in industrial area in Malaysia. In IOP Conference Series: Materials Science and Engineering. Vol. 374, No. 1, p. 012094. IOP Publishing.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2024 Array