UTILIZING GOOGLE EARTH FOR ENVIRONMENTAL PLANNING: EXTRACTION OF POINT SOURCE LOCATIONS AT THE UPSTREAM OF SUNGAI SKUDAI CATCHMENT, JOHOR MALAYSIA

Authors

  • Muhammad Wafiy Adli Ramli Geography Section, School of Humanities, UNIVERSITI SAINS MALAYSIA
  • Nor Eliza Alias Center of Water Sustainability and Water Security, UNIVERSITI TEKNOLOGI MALAYSIA
  • Zulfaqar Sa’adi Center of Water Sustainability and Water Security, UNIVERSITI TEKNOLOGI MALAYSIA
  • Yusrin Faiz Abdul Wahab Malaysia Japanese Institute Technology, UNIVERSITI TEKNOLOGI MALAYSIA
  • Zulkifli Yusop Center of Water Sustainability and Water Security, UNIVERSITI TEKNOLOGI MALAYSIA

DOI:

https://doi.org/10.21837/pm.v22i33.1529

Keywords:

Point source, pollution, GIS, environmental, water, Google Earth

Abstract

This study explores the application of geospatial technologies, specifically focusing on Google Earth (GE), to extract and mapping point source pollution in the upstream of Sungai Skudai Catchment (SRC). A thorough analysis of the locations of restaurants, launderettes, car washes, and workshops was made practical by the combination of Geographic Information Systems (GIS) tools with satellite images, which offers important data for environmental planning and water quality management. The research area, located in Johor, Malaysia, offers an example of the difficulties driven by rapid urban growth. This study provides comprehensive directions for extracting point sources, with a focus on verifying data via field surveys and Google searches. The upstream region was found to have 373 restaurants, 62 launderettes, 73 car washes, and 80 workshops. The dataset was further improved by the validation process, which determined any inconsistencies and added additional data. This study highlights the importance of field verification for improving point source pollution data accuracy. It also provides a base for comprehensive strategies for pollution management, land-use planning, and preservation efforts in rapidly changing environments, such as the Sungai Skudai Catchment.

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References

Ariffin, N. A., Muslim, A. M., & Akhir, M. F. (2023). GIS and oil spill tracking model in forecasting potential oil spill-affected areas along Terengganu and Pahang coastal area. Planning Malaysia: Journal of the Malaysia Institute Planners, 21(4), 250–264. DOI: https://doi.org/10.21837/pm.v21i28.1330

Bateman, I. J., Jones, A. P., Lovett, A. A., Lake, I. R., & Day, B. H. (2002). Applying Geographical Information Systems (GIS) to environmental and resource economics. Environmental and Resource Economics, 22, 219–269. DOI: https://doi.org/10.1023/A:1015575214292

Bello, A. D., & Haniffah Mohd, R. M. (2021). Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed : A case study of Skudai River watershed. Ecological Indicators, 459. DOI: https://doi.org/10.1016/j.ecolmodel.2021.109721

Braden, J. B., & Shortle, J. S. (2013). Agricultural Sources of Water Pollution. Encyclopedia of Energy, Natural Resource, and Environmental Economics, 3–3, 81–85. https://doi.org/10.1016/B978-0-12-375067-9.00111-X DOI: https://doi.org/10.1016/B978-0-12-375067-9.00111-X

Choi, Y., Baek, J., & Park, S. (2020). Review of GIS-based applications for mining: Planning, operation, and environmental management. Applied Sciences (Switzerland), 10(7). https://doi.org/10.3390/app10072266 DOI: https://doi.org/10.3390/app10072266

Fikri, E., Putri, A. N. S., Prijanto, T. B., & Syarief, O. (2020). Study of liquid waste quality and potential pollution load of motor vehicle wash business in Bekasi City (Indonesia). Journal of Ecological Engineering, 21(3), 128–134. https://doi.org/10.12911/22998993/118288 DOI: https://doi.org/10.12911/22998993/118288

Gao, L. L., Lu, Y. C., Zhang, J. L., Li, J., & Zhang, J. D. (2019). Biotreatment of restaurant wastewater with an oily high concentration by newly isolated bacteria from oily sludge. World Journal of Microbiology and Biotechnology, 35(11), 1–11. https://doi.org/10.1007/s11274-019-2760-4 DOI: https://doi.org/10.1007/s11274-019-2760-4

Hoang Tu, L., Thi Ha, P., Ngoc Quynh Tram, V., Ngoc Thuy, N., Nguyen Dong Phuong, D., Thong Nhat, T., & Kim Loi, N. (2023). GIS Application in Environmental Management: A Review. VNU Journal of Science: Earth and Environmental Sciences, 39(2), 1–15. https://doi.org/10.25073/2588-1094/vnuees.4957 DOI: https://doi.org/10.25073/2588-1094/vnuees.4957

Hu, C., Kuan, W., Ke, L., & Wu, J. (2022). A Study of Car Wash Wastewater Treatment by Cyclo-Flow Filtration. Water (Switzerland), 14(1476). DOI: https://doi.org/10.3390/w14091476

IRDA. (2011). Integrated land-use blue print for Inskandar Malaysia Johor Bahru, Malaysia.

Kah, C. H., Yeit, H. T., Jing, Y. S., Ng, Z. J., & Mohamad, A. W. (2021). Water pathways through the ages : Integrated laundry wastewater treatment for pollution prevention. Science of the Total Environment, 760. DOI: https://doi.org/10.1016/j.scitotenv.2020.143966

Liang, J., Gong, J., & Li, W. (2018). Applications and impacts of Google Earth: A decadal review (2006–2016). ISPRS Journal of Photogrammetry and Remote Sensing, 146(20), 91–107. https://doi.org/10.1016/j.isprsjprs.2018.08.019 DOI: https://doi.org/10.1016/j.isprsjprs.2018.08.019

Liu, Y., Yu, M., & Ge, C. L. (2014). Assessment of treating laundry wastewater using composites based on industrial waste. Applied Mechanics and Materials, 675–677, 774–780. https://doi.org/10.4028/www.scientific.net/AMM.675-677.774 DOI: https://doi.org/10.4028/www.scientific.net/AMM.675-677.774

Mohd Zin, M. S., Kamarudin, M. K. A., Juahir, H., Abd Wahab, N., & Mamat, A. F. (2024). Urban water security protection: Identifying pollution sources in Juru river basin using Chemometrics. Planning Malaysia: Journal of the Malaysia Institute Planners, 22(1), 24–37. DOI: https://doi.org/10.21837/pm.v22i30.1421

Monney, I., Buamah, R., Donkor, E. A., Etuaful, R., Nota, H. K., & Ijzer, H. (2019). Treating waste with waste: The potential of synthesized alum from bauxite waste for treating car wash wastewater for reuse. Environmental Science and Pollution Research, 26(13), 12755–12764. https://doi.org/10.1007/s11356-019-04730-0 DOI: https://doi.org/10.1007/s11356-019-04730-0

Yau, Y., Rudolph, V., Lo, C. C., & Wu, K. (2021). Restaurant oil and grease management in Hong Kong. Environmental Science and Pollution Research, 28, 40735–40745. DOI: https://doi.org/10.1007/s11356-018-2474-4

Zhang, L., Cheng, I., Wu, Z., Harner, T., Schuster, J., Charland, J.-P., Muir, D., Parnis, J. M., Tan, Z., Zhuang, Q., Walter Anthony, K., Wang, M., Larson, V. E., & Ghan, S. J. (2015). An innovative approach to improve SRTM DEM using multispectral imagery and artificial neural network. Journal of Advances in Modeling Earth Systems, 6(7209), 1339–1350. https://doi.org/10.1002/2015MS000536.Received DOI: https://doi.org/10.1002/2015MS000473

Zhao, Q., Yu, L., Li, X., Peng, D., & Zhang, Y. (2021). Progress and trends in the application of Google Earth and Google Earth Engine. Remote Sensing, 13(3778). DOI: https://doi.org/10.3390/rs13183778

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Published

2024-08-26

How to Cite

Adli Ramli, M. W., Alias, N. E., Sa’adi, Z., Abdul Wahab, Y. F., & Yusop, Z. (2024). UTILIZING GOOGLE EARTH FOR ENVIRONMENTAL PLANNING: EXTRACTION OF POINT SOURCE LOCATIONS AT THE UPSTREAM OF SUNGAI SKUDAI CATCHMENT, JOHOR MALAYSIA. PLANNING MALAYSIA, 22(33). https://doi.org/10.21837/pm.v22i33.1529