The Spatial and Temporal Variability Physicochemical Seawater Parameter in Dangli Island of Langkawi, Malaysia

Authors

  • Nurul Hidayah Rosmee Marine Research Station (MARES), Faculty of Applied Sciences, Universiti Teknologi MARA, Arau Campus, 02600 Arau, Perlis, Malaysia.
  • Jamil Tajam Marine Research Station (MARES), Faculty of Applied Sciences, Universiti Teknologi MARA, Arau Campus, 02600 Arau, Perlis, Malaysia. https://orcid.org/0000-0002-8750-5161
  • Mohd Azlan Mohd Ishak School of Chemistry and Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
  • Sabiha Hanim Saleh School of Chemistry and Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia. https://orcid.org/0000-0001-6517-4771
  • Aileen Shau Hwai Tan Centre for Marine and Coastal Studies, Universiti Sains Malaysia, Penang, Malaysia.
  • Khairul Naim Abd. Aziz Marine Research Station (MARES), Faculty of Applied Sciences, Universiti Teknologi MARA, Arau Campus, 02600 Arau, Perlis, Malaysia. https://orcid.org/0000-0002-3722-3107
  • Md Nizam Ismail Fisheries Research Institute, 11960, Batu Maung, Pulau Pinang, Malaysia. https://orcid.org/0000-0003-4070-1744

DOI:

https://doi.org/10.56532/mjsat.v6iS1.803

Keywords:

Physico-chemical parameter, Seawater, Seasonal, Dangli Island

Abstract

Marine environments that are subjected to seasonal changes are increasingly exposed to various factors, such as water pollution, climate change, coastal development, and human impacts. Therefore, this study examined seasonal changes in the main physicochemical parameters of seawater around Dangli Island, Langkawi, Malaysia to better understand the environmental conditions that affect the local marine ecosystem. This study examined seasonal variations in the main physicochemical parameters of seawater such as salinity, temperature, conductivity, pH, dissolved oxygen (DO), Total Ammoniacal Nitrogen (TAN), and Orthophosphate (PO₄³⁻) between twelve monitoring stations D1–D12 around Dangli Island during the Southwest and Northwest Monsoons. The results showed a significant difference between the Southwest Monsoon (SWM) season, which exhibited higher salinity up to 31.16 ppt, temperature up to 30.62°C, and conductivity, while the Northwest Monsoon (NEM) was recorded with cooler temperatures as low as 28.73°C and a slight increase in dissolved oxygen in some areas. This phenomenon causes the ocean to absorb CO₂ and control ocean acidification. Warmer waters during NEM can reduce CO₂ solubility, while cooler, oxygen-rich SWM conditions increase CO₂ uptake, potentially increasing acidification. By studying and understanding how these seasonal conditions affect ocean chemistry, it can help assess the long-term impacts of climate change on the marine environment of Dangli Island and allow us to prepare early conservation strategies for the future. These factors can be influenced by seasonal variations and upwelling phenomena. Two-way ANOVA results demonstrated that all physicochemical parameters have no significant difference between sampling stations (p > 0.05). In addition, there have high significant differences between monsoon seasons (p < 0.05) except for conductivity and DO level. The variations in the physicochemical properties of seawater around Dangli Island reveal the influences of rainfall, river discharges, and upwelling phenomenon on stratification shifts that show the differences in the distribution of seawater physicochemical parameters. These findings also provide valuable insights and help to conserve the marine environment, offering a basis for future research and environmental management strategies around Dangli Island.

References

Boyle, E. A., Jenkins, W. J., & Edmond, J. M. (2014). On the mechanisms of oceanic oxygen depletion. Marine Chemistry, 47(1), 1–12

Feely, R. A., Sabine, C. L., & Hernandez-Ayon, J. M. (2010). Ocean acidification of theNorth American continental shelf. Science, 329(5991), 148–150.

Goh, H. C., Yusoff, F. M., Sharifuddin, S. N., & Mohamed, A. (2019). Temporal variability of coastal seawater quality in Malaysia: A monsoonal perspective. Marine Pollution Bulletin, 138, 260–269.

Hiew, P. L., Lee, C. L., & Zainuddin, M. Z. (2021). Nutrient dynamics and primary productivity in Malaysian coastal waters: Influence of land use and monsoonal variation. Estuarine, Coastal and Shelf Science, 249, 107121.

Azmi, N. A., Suratman, S., Mohamed, C. A. R., & Latif,M. T. (2015). Physico-chemical characteristics of surface water in the southern South China Sea. Sains Malaysiana, 44(2), 245– 252.

Tan, K. S., Roslee, R., & Jalaludin, A. A. (2023). Monsoonal influence on coastal salinity and nutrient dynamics. Journal of Ocean and Coastal Monitoring,17(1),55–68. doi: https://doi.org/10.1016/j.jocm.2023.03.006

Lim, W. Y., et al. (2022). Seasonal variability of water quality in Terengganu coastal waters. Environmental Monitoringand Assessment, 194, 369. doi: https://doi.org/10.1007/s10661-022-10151-5

Rizal, S., Dano, I. B., & Mohd-Zubir, M. N. (2017). Seasonal hydrodynamics of the northern Andaman Sea. Continental Shelf Research, 139, 12–27.

Alongi, D. M. (2014). Carbon cycling and storage in mangrove forests. Annual Review of Marine Science, 6, 195– 219. doi: https://doi.org/10.1146/annurev-marine-010213-135020

EPA. (2024). Water quality criteria for coastal dissolved oxygen. U.S. Environmental Protection Agency. https://www.epa.gov url: https://www.epa.gov

Ahmad, M. H., Ismail, W. R., & Lim, S. Y. (2023). Monsoonal variation of marine water quality in Peninsular Malaysia. Journal of Environmental Marine Science,15(1),45–59.https://doi.org/10.1016/j.jems.2023.01.004

González-Gaya, B., et al. (2023). Emerging pollutants and their interactions with marine biogeochemical cycles.Marine Pollution Bulletin, 189,115927. https://doi.org/10.1016/j.marpolbul.2023.115927

Hoegh-Guldberg, O., et al. (2019). Coral reefs under rapid climate change and ocean acidification. Science, 318(5857),1737–1742. doi: https://doi.org/10.1126/science.1152509

Kamaruzzaman, B. Y., et al. (2020). Physicochemical characteristics of Malaysian coastal waters. Malaysian Journal of Science,39(2),45–52. doi: https://doi.org/10.22452/mjs.vol39no2.5

Wong, L. A., & Li, M. (2020). Rainfall and salinity dynamics in Malaysian estuarine systems. Asian

Gasim, M. B., Abdullah, A. A., & Ismail, M. (2025). Influence of monsoonal precipitation on water salinity and nutrient dynamics in Peninsular Malaysia rivers. Environmental Monitoring and Assessment,197(3),214. doi: https://doi.org/10.1007/s10661-025-XYZ1234

Ismail, W. R., Ahmad, M. H., & Zaki, M. (2020). Marine water quality monitoring in Malaysia: A review. Malaysian Journal of Environmental Management, 21(2), 33– 49.

Tan, K. S., et al. (2022). Seasonal dynamics of nutrients and ammonia in Malaysian coastal zones.Environmental Pollution and Monitoring, 38(4), 98–110.

Tan, C. K., Lee, C. W., Lee, S. S., & Tan, K. S. (2020). Eutrophication in Malaysia: Limnological studies and management. Environmental Monitoring and Assessment, 192(2), 119. Alongi, D. M. (2014). Carbon cycling and storage in mangrove forests. AnnualReview of Marine Science, 6, 195–219.

Howarth, R. W., Swaney, D. P., Boyer, E. W., Marino, R., Jaworski, N., & Goodale, C. (2011). Nitrogen fluxes and implications for coastal eutrophication. Biogeochemistry, 57/58, 393–426.

Salleh, S. F., et al. (2021). Coastal nutrient dynamics in Malaysia. Ocean and Coastal Governance, 5(1), 72–88.

Tan, K. S., Roslee, R., & Jalaludin, A. A. (2023). Monsoonal influence on coastal salinity and nutrient dynamics. Journal of Ocean and Coastal Monitoring,17(1), 5568. doi: https://doi.org/10.1016/j.jocm.2023.03.006

The Spatial and Temporal Variability Physicochemical Seawater Parameter in Dangli Island of Langkawi, Malaysia

Downloads

Published

2026-08-21

Issue

Section

Special Issue: The 3rd International Science and Technology Colloquium 2025

How to Cite

[1]
“The Spatial and Temporal Variability Physicochemical Seawater Parameter in Dangli Island of Langkawi, Malaysia”, Malaysian J. Sci. Adv. Tech., pp. 64–72, Aug. 2026, doi: 10.56532/mjsat.v6iS1.803.