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Scenario-based numerical simulation to predict future water quality for developing robust water management plan: a case study from the Hau River, Vietnam

Author

Listed:
  • Nguyen Hong Duc

    (Hokkaido University
    Can Tho University)

  • Ram Avtar

    (Hokkaido University
    Hokkaido University)

  • Pankaj Kumar

    (Institute for Global Environmental Strategies)

  • Pham Phuong Lan

    (National Economics University)

Abstract

Rapid population growth, urbanization, industrialization, and climate change are the key drivers causing serious water pollution around the globe. Considering the impacts of these key drivers, this study employed the Water Evaluation and Planning (WEAP) simulation tool to simulate the future water quality in a nearly 60-km stretch of the Hau River, Vietnam. The business-as-usual (BAU) scenario; scenarios with measures (WM), i.e., wastewater treatment plants (WWTPs) for treating 75% (WM75) and 100% (WM100) of total future wastewater generated; and the optimistic scenario (WM_Opt., i.e., WM100 + additional treatment plants for river water (RWTPs)) to achieve the desired water quality, were applied to simulate the future Hau River water quality for the year 2030. Result suggests that the average values of biochemical oxygen demand (BOD), total coliform (TC), nitrate (NO3−), and phosphate (PO43−) in the wet season of 2030 under BAU scenario will be increased by 16.01%, 40.85%, 30.49%, and 20.22%, respectively, in comparison to those of the current year, i.e., 2018. In the dry season, these rates will be increased by 27.80%, 65.94%, 31.05%, and 20.64%, respectively. Under the scenario with measures (WM75 and WM100), although the Hau River water quality was improved but did not reach the desired limits, especially for BOD and PO43− levels in the downstream region. However, under the WM_Opt. scenario, the average simulated values of both BOD and PO43− will be significantly declined by 76.53% and 63.96%, respectively as compared to the current situation and help to achieve river water quality under class A. This study is providing policy-relevant scientific information, vital for sustainable water resource management.

Suggested Citation

  • Nguyen Hong Duc & Ram Avtar & Pankaj Kumar & Pham Phuong Lan, 2021. "Scenario-based numerical simulation to predict future water quality for developing robust water management plan: a case study from the Hau River, Vietnam," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(7), pages 1-38, October.
    • Handle: RePEc:spr:masfgc:v:26:y:2021:i:7:d:10.1007_s11027-021-09969-y
    DOI: 10.1007/s11027-021-09969-y
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    1. Thomas E. Downing, 2012. "Views of the frontiers in climate change adaptation economics," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 3(2), pages 161-170, March.
    2. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    3. Kannel, Prakash Raj & Lee, S. & Lee, Y.-S. & Kanel, S.R. & Pelletier, G.J., 2007. "Application of automated QUAL2Kw for water quality modeling and management in the Bagmati River, Nepal," Ecological Modelling, Elsevier, vol. 202(3), pages 503-517.
    4. Dell'Angelo, Jampel & Rulli, Maria Cristina & D'Odorico, Paolo, 2018. "The Global Water Grabbing Syndrome," Ecological Economics, Elsevier, vol. 143(C), pages 276-285.
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    Cited by:

    1. Nguyen Hong Duc & Pankaj Kumar & Pham Phuong Lan & Tonni Agustiono Kurniawan & Khaled Mohamed Khedher & Ali Kharrazi & Osamu Saito & Ram Avtar, 2023. "Hydrochemical indices as a proxy for assessing land-use impacts on water resources: a sustainable management perspective and case study of Can Tho City, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2573-2615, July.

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