IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v353y2017icp167-173.html
   My bibliography  Save this article

Modeling approach to evaluation of environmental impacts on river water quality: A case study with Galing River, Kuantan, Pahang, Malaysia

Author

Listed:
  • Lee, Ingyu
  • Hwang, Hyundong
  • Lee, Jungwoo
  • Yu, Nayoung
  • Yun, Jinhuck
  • Kim, Hyunook

Abstract

One of the major issues in Kuantan, Pahang, Malaysia is the water quality of Galing River which is flowing through the area. Currently, overall water quality of the river is very poor, i.e., Class IV (based on the Malaysian water quality standards), mainly due to wastewater discharged from residential area and industries without being properly treated. Due to severe pollution, aquatic ecosystem has not been properly developed. Thus, it is being considered to construct a new wastewater treatment plant (WWTP) to prevent discharge of pollutants and to improve the river water quality. Therefore, this study was conducted to identify the pollution sources along the river and assess their impacts on the water quality. In addition, a numerical model was formulated with the Environmental Fluid Dynamic Code (EFDC) to find a best plan to improve the water quality. Through the model simulation, it was found that wastewater from all the U-drains and culverts along the river should be collected by sewer, transported to a WWTP for treatment, and then pumped to the upstream of the river for discharge. It was also found that if the WWTP would reduce pollution load by 80%, the current water quality of the river would improve by 80% to achieve Class II.

Suggested Citation

  • Lee, Ingyu & Hwang, Hyundong & Lee, Jungwoo & Yu, Nayoung & Yun, Jinhuck & Kim, Hyunook, 2017. "Modeling approach to evaluation of environmental impacts on river water quality: A case study with Galing River, Kuantan, Pahang, Malaysia," Ecological Modelling, Elsevier, vol. 353(C), pages 167-173.
  • Handle: RePEc:eee:ecomod:v:353:y:2017:i:c:p:167-173
    DOI: 10.1016/j.ecolmodel.2017.01.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380017300674
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2017.01.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Guozheng & Xu, Zongxue, 2011. "Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake," Ecological Modelling, Elsevier, vol. 222(6), pages 1245-1252.
    2. Rashidi, Hamidreza & GhaffarianHoseini, Ali & GhaffarianHoseini, Amirhosein & Nik Sulaiman, Nik Meriam & Tookey, John & Hashim, Nur Awanis, 2015. "Application of wastewater treatment in sustainable design of green built environments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 845-856.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sinan Q. Salih & Intisar Alakili & Ufuk Beyaztas & Shamsuddin Shahid & Zaher Mundher Yaseen, 2021. "Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 8027-8046, May.
    2. Bello, Al-Amin Danladi & Haniffah, Mohd Ridza Mohd, 2021. "Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed," Ecological Modelling, Elsevier, vol. 459(C).
    3. Muhammad Mazhar Iqbal & Muhammad Shoaib & Hafiz Umar Farid & Jung Lyul Lee, 2018. "Assessment of Water Quality Profile Using Numerical Modeling Approach in Major Climate Classes of Asia," IJERPH, MDPI, vol. 15(10), pages 1-26, October.
    4. Mohd Khairul Amri Kamarudin & Noorjima Abd Wahab & Hafizan Juahir & Nur Ili Hasmida Mustaffa & Muhammad Hafiz Md Saad & Siti Nor Aisyah Bati & Frankie Marcus Ata, 2022. "Impact Of Wastewater On Surface Water Quality In Kenyir Lake Basin, Hulu Terengganu," Journal of Wastes and Biomass Management (JWBM), Zibeline International Publishing, vol. 4(2), pages 68-72, June.
    5. Bae, Soonyim & Seo, Dongil, 2018. "Analysis and modeling of algal blooms in the Nakdong River, Korea," Ecological Modelling, Elsevier, vol. 372(C), pages 53-63.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Jaeyoung & Seo, Dongil & Jones, John R., 2022. "Harmful algal bloom dynamics in a tidal river influenced by hydraulic control structures," Ecological Modelling, Elsevier, vol. 467(C).
    2. Bae, Sunim & Seo, Dongil, 2021. "Changes in algal bloom dynamics in a regulated large river in response to eutrophic status," Ecological Modelling, Elsevier, vol. 454(C).
    3. Ploutarchos N. Kerpelis & Spyridon K. Golfinopoulos & Dimitrios E. Alexakis, 2021. "A Proposed Theoretical Approach for the Estimation of Seismic Structural Vulnerability of Wastewater Treatment Plants," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    4. Islam, Md. Nazrul & Kitazawa, Daisuke & Kokuryo, Naoki & Tabeta, Shigeru & Honma, Takamitsu & Komatsu, Nobuyuki, 2012. "Numerical modeling on transition of dominant algae in Lake Kitaura, Japan," Ecological Modelling, Elsevier, vol. 242(C), pages 146-163.
    5. Md Jahangir Alam & Dushmanta Dutta, 2016. "A Sub-Catchment Based Approach for Modelling Nutrient Dynamics and Transport at a River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5455-5478, November.
    6. Liu, Haidong & Zheng, Zhongquan C. & Young, Bryan & Harris, Ted D., 2019. "Three-dimensional numerical modeling of the cyanobacterium Microcystis transport and its population dynamics in a large freshwater reservoir," Ecological Modelling, Elsevier, vol. 398(C), pages 20-34.
    7. Shen, Jian & Qin, Qubin & Wang, Ya & Sisson, Mac, 2019. "A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading," Ecological Modelling, Elsevier, vol. 398(C), pages 44-54.
    8. Zhao, Xiaodong & Zhang, Hongjian & Tao, Xiaolei, 2013. "Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model," Ecological Modelling, Elsevier, vol. 250(C), pages 279-286.
    9. Md. Islam & Daisuke Kitazawa & Thomas Hamill & Ho-Dong Park, 2013. "Modeling mitigation strategies for toxic cyanobacteria blooms in shallow and eutrophic Lake Kasumigaura, Japan," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(4), pages 449-470, April.
    10. Chen, Bokun & Yang, Siyu & Cao, Qi & Qian, Yu, 2020. "Life cycle economic assessment of coal chemical wastewater treatment facing the ‘Zero liquid discharge’ industrial water policies in China: Discharge or reuse?," Energy Policy, Elsevier, vol. 137(C).
    11. Jiang, Long & Li, Yiping & Zhao, Xu & Tillotson, Martin R. & Wang, Wencai & Zhang, Shuangshuang & Sarpong, Linda & Asmaa, Qhtan & Pan, Baozhu, 2018. "Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China," Ecological Modelling, Elsevier, vol. 375(C), pages 1-12.
    12. Luo, Xi & Li, Xuyong, 2018. "Using the EFDC model to evaluate the risks of eutrophication in an urban constructed pond from different water supply strategies," Ecological Modelling, Elsevier, vol. 372(C), pages 1-11.
    13. Li-kun, Yang & Sen, Peng & Xin-hua, Zhao & Xia, Li, 2017. "Development of a two-dimensional eutrophication model in an urban lake (China) and the application of uncertainty analysis," Ecological Modelling, Elsevier, vol. 345(C), pages 63-74.
    14. Gula Tang & Yunqiang Zhu & Guozheng Wu & Jing Li & Zhao-Liang Li & Jiulin Sun, 2016. "Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
    15. Bae, Soonyim & Seo, Dongil, 2018. "Analysis and modeling of algal blooms in the Nakdong River, Korea," Ecological Modelling, Elsevier, vol. 372(C), pages 53-63.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:353:y:2017:i:c:p:167-173. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.