Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

Assessment of Water Quality and Landuse using QGIS at the Tasik Chini: Implications for Environmental Management

Authors
Muhmmad Asyraf Azahar1, Wan Zurina Wan Jaafar2, Noor Sa’adah Abdul Hamid1, 4, Aznan Fazli Ismail3, Amnorzahira Amir1, 4, *
1School of Civil Engineering, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia
2Department of Civil Engineering, Faculty of Engineering, Universiti Malaya (UM), 50603, Kuala Lumpur, Malaysia
3Nuclear Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia
4Bioremediation Research Centre (myBioREC), School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: amnorzahira@uitm.edu.my
Corresponding Author
Amnorzahira Amir
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_58How to use a DOI?
Keywords
Environmental Management; GIS; Landuse Change; Tasik Chini; Water Quality
Abstract

This study investigates the water quality and landuse at the Tasik Chini, Pahang, Malaysia. Recently, water quality and biodiversity of the Tasik Chini was significantly deteriorated due to the mining and agriculture activities nearby the Tasik Chini. The water quality was significantly deteriorated by the metals from the mining area and high consumption of fertilizer from the agriculture activities. Therefore, this study was significantly urgent to determine the water quality and to characterize the type of landuse at this lake. The assessment of the water quality was conducted at in-situ and laboratory experiments. Samples of water were collected at Laut Kenawar, Laut Serodong, Laut Gumum, Batu Busuk and Jeti UKM. Measurements of dissolved oxygen, pH, ammoniacal nitrogen, chemical oxygen demand, biochemical oxygen demand, total suspended solids, and metals were conducted in this study. Land use analysis was performed using QGIS to determine the type of landuse. The dominance landuse are forested area (69.48%), followed by agriculture area (9.69%) and mining area (9.60%). The water quality analysis shows that the water quality index of the Tasik Chini was dominantly under Class (III). The concentration of dissolved oxygen was significantly low and the existence of Fe, Cu and Al significantly deteriorated the water quality of the Tasik Chini. Therefore, suitable mitigation measures are required to preserve the water quality and biodiversity of this lake. The findings from this study could provide better environmental management to control landuse development and sustain the water quality of the Tasik Chini.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_58How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Muhmmad Asyraf Azahar
AU  - Wan Zurina Wan Jaafar
AU  - Noor Sa’adah Abdul Hamid
AU  - Aznan Fazli Ismail
AU  - Amnorzahira Amir
PY  - 2024
DA  - 2024/12/01
TI  - Assessment of Water Quality and Landuse using QGIS at the Tasik Chini: Implications for Environmental Management
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 622
EP  - 632
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_58
DO  - 10.2991/978-94-6463-589-8_58
ID  - Azahar2024
ER  -