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Applying value of information methods to prioritize elements for water quality management with an example of linear alkylbenzene sulfonate in the Yodo River, Japan

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  • Anh Hoang Le

    (Osaka University)

  • Akihiro Tokai

    (Osaka University)

  • Toyohiko Nakakubo

    (Osaka University)

Abstract

Narrowing the decision space is crucial in water quality management at the meso-scale for developing countries, where a lack of data and financial budgets prevent the development of appropriate management plans and result in serious water quality degradation in many rivers. In this study, a framework for handling this task is proposed, comprising a lumped water quality model, with sensitivity and uncertainty analyses, and a management domain, including loss estimation and value of information analysis. Through a case study with linear alkylbenzene sulfonate (LAS) in the Yodo River, it is found that non-point sources and flow rate are factors that influence LAS concentration at the hot spot location. By considering the entire process of water quality management planning, we identify that the definition of the cost function of LAS treatment determines the appropriate estimation for the expected loss in reducing LAS under uncertain water quality conditions. The value of information analysis with “expected value of including uncertainty” and “expected value of perfect information” further helps estimate the benefit of including uncertainty in decision-making and the financial cost for obtaining more information regarding inputs that have been previously prioritized.

Suggested Citation

  • Anh Hoang Le & Akihiro Tokai & Toyohiko Nakakubo, 2014. "Applying value of information methods to prioritize elements for water quality management with an example of linear alkylbenzene sulfonate in the Yodo River, Japan," Environment Systems and Decisions, Springer, vol. 34(1), pages 110-123, March.
    • Handle: RePEc:spr:envsyd:v:34:y:2014:i:1:d:10.1007_s10669-014-9490-9
    DOI: 10.1007/s10669-014-9490-9
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    References listed on IDEAS

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    1. Fernandez, G.P. & Chescheir, G.M. & Skaggs, R.W. & Amatya, D.M., 2006. "DRAINMOD-GIS: A lumped parameter watershed scale drainage and water quality model," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 77-97, March.
    2. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 635-650, June.
    3. Asit K. Biswas & Cecilia Tortajada, 2011. "Water Quality Management: An Introductory Framework," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 27(1), pages 5-11, March.
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    Cited by:

    1. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    2. Mercedes Boncompte Pons & María del Mar Guerrero Manzano, 2024. "The value of perfect information for the problem: a sensitivity analysis," Environment Systems and Decisions, Springer, vol. 44(4), pages 980-993, December.
    3. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.

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