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Identifying Lowest‐Emission Choices and Environmental Pareto Frontiers for Wastewater Treatment Wastewater Treatment Input‐Output Model based Linear Programming

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  • Chen Lin

Abstract

This article proposes a linear programming model that is based on the wastewater treatment input‐output model (W2IO) to identify the lowest‐emission choice among alternative feasible options for wastewater treatment; this model can be considered as an application of the waste input‐output linear programming model (WIO‐LP) to wastewater issues. Using the data of the Tokyo metropolitan W2IO table, I apply this model to obtain the optimal wastewater treatment options under alternative scenarios. The Pareto frontiers of environmental loads are derived to show the trade‐off relationships among various types of environmental load and the effect of the introduction of high‐temperature incineration of dewatered sludge on the generation of environmental loads. The main conclusion of the study is that when all three types of environmental load (landfill level, global warming potential, and chemical oxygen demand) are considered, the introduction of high‐temperature incineration causes the widening of the Pareto frontier of environmental loads and also causes it to move closer to the origin.

Suggested Citation

  • Chen Lin, 2011. "Identifying Lowest‐Emission Choices and Environmental Pareto Frontiers for Wastewater Treatment Wastewater Treatment Input‐Output Model based Linear Programming," Journal of Industrial Ecology, Yale University, vol. 15(3), pages 367-380, June.
    • Handle: RePEc:bla:inecol:v:15:y:2011:i:3:p:367-380
    DOI: 10.1111/j.1530-9290.2011.00339.x
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    Cited by:

    1. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).
    2. Dilekli, Naci & Cazcarro, Ignacio, 2019. "Testing the SDG targets on water and sanitation using the world trade model with a waste, wastewater, and recycling framework," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    3. Wei Yang & Junnian Song & Yoshiro Higano & Jie Tang, 2015. "An Integrated Simulation Model for Dynamically Exploring the Optimal Solution to Mitigating Water Scarcity and Pollution," Sustainability, MDPI, vol. 7(2), pages 1-24, February.
    4. Cortés-Borda, D. & Ruiz-Hernández, A. & Guillén-Gosálbez, G. & Llop, M. & Guimerà, R. & Sales-Pardo, M., 2015. "Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input–output approach," Energy Policy, Elsevier, vol. 77(C), pages 21-30.
    5. C. Oliveira & D. Coelho & C. H. Antunes, 2016. "Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review," Annals of Operations Research, Springer, vol. 247(2), pages 471-502, December.
    6. Edgar Battand Towa Kouokam & Vanessa Zeller & Wouter Achten, 2019. "Input-output models and waste management analysis: A critical review," ULB Institutional Repository 2013/359535, ULB -- Universite Libre de Bruxelles.
    7. Glenn A. Aguilar-Hernandez & Carlos Pablo Sigüenza-Sanchez & Franco Donati & João F. D. Rodrigues & Arnold Tukker, 2018. "Assessing circularity interventions: a review of EEIOA-based studies," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-24, December.

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