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Optimal Waste Load Allocation Using Multi-objective Optimization And Multi-criteria Decision Analysis

Congress: 2015
Author(s): Leila Saberi, Mohammad Hossein Niksokhan, Amin Sarang

Leila Saberi, Mohammad Hossein  Niksokhan, Amin Sarang
University of Tehran



Keyword(s): Sub-theme 10: Management of water resources,
Abstract


Leila Saberi1*, Mohammad Hossein Niksokhan2, Amin Sarang3
1- M.Sc. Student, Faculty of Environment, University of Tehran: Leila.saberi@ut.ac.ir
2- Assistant Professor, Faculty of Environment, University of Tehran: niksokhan@ut.ac.ir
3- Assistant Professor, Faculty of Environment, University of Tehran: sarang@ut.ac.ir

 

Introduction:
Increasing demand for water, higher standards of living, depletion of resources of acceptable quality, and excessive water pollution due to agricultural and industrial developments have caused intensive social and environmental problems all over the world. Given the environmental importance of rivers, complexity and extent of pollution factors and physical, chemical and biological processes in these systems, optimal waste-load allocation in river systems has been given considerable attention in the literature in the past decades. The overall objective of planning and quality management of river systems is to develop and implement a coordinated set of strategies and policies to reduce or allocate of pollution entering the rivers so that the water quality matches by proposed environmental standards with an acceptable reliability. In such matters, often there are several different decision makers with different utilities which lead to conflicts.

 

Methods/Materials:
In this research, a conflict resolution framework for optimal waste load allocation in river systems is proposed, considering the total treatment cost and the Biological Oxygen Demand (BOD) violation characteristics. There are two decision-makers inclusive waste load dischargers coalition and environmentalists who have conflicting objectives. This framework consists of an embedded river water quality simulator, which simulates the transport process including reaction kinetics. The trade-off curve between objectives is obtained using a powerful and recently developed multi-objective algorithm technique known as the Multi-objective Particle Swarm Optimization Algorithm which these objectives are minimization of the total cost of treatment and penalties that must be paid by dischargers and a violation of water quality standards considering BOD parameter which is controlled by environmentalists. Thus, the basic policy of river's water quality management is formulated in such a way that the decision-makers are ensured their benefits will be provided as far as possible. By using MOPSO, five alternatives and their performances under criteria are found. Values that are calculated by MOPSO are applied to form the cardinal Multi-Criteria Decision Making (MCDM) matrix. Afterwards, the cardinal MCDM matrix is transformed into ordinal form. For studying competitive behaviours in such situations, a mathematical tool called game theory is used. Hence the transition matrix is formed for solving the problem by game theory and qualitative data. Finally the best non-dominated solution on the trade-off curve is defined using the Nash conflict resolution theory.

Results and Discussion:
The interaction point of the Sefidrood River and Caspian Sea is considered as a check point and the standard amount of BOD considering the Iranian Protection Agency's standards is equivalent to 5 mg/l. In the studied area, none of waste load dischargers perform currently wastewater treatment. Under this circumstance, the BOD has the value of 26.59 mg/l which violated its standard amount. By MOPSO algorithm and Nash theory five alternatives, which each of them includes both the amount of BOD in checkpoint and treatment and penalty total cost, are obtained for two decision makers. The best and final alternative, that is preferred by both of decision-makers, reduces the BOD amount and the total payable cost to 6.16 mg/l and 296,293 $/year respectively.

Conclusion:
The practical utility of the proposed model in decision-making is illustrated through a realistic example of the Sefidrood River in northern part of Iran. As a final alternative, that suggests the most economical measurement by minimizing of treatment and penalty total cost, there are acceptable percentage of treatment per discharger and the violation of standard for BOD parameter is negligible. *Corresponding author. Postal Address: FeuerbachstraÃe 42, 14471 Potsdam, Germany. Tel: 004915217862469 1. Abrishamchi A., Danesh-Yazdi M., and Tajrishy M. 2011. Conflict Resolution of water resources allocations using Game Theoretic approach: The case of Orumieh River Basin in Iran. AWRA 2011 summer specially conference, Utah, USA.
2. Alikhan A., Rubia Z., Tyagi V.K., Anwar K., and Lew B. 2011. Sustainable Options of Post Trestment of USAB effluent Treating Sewage: A review. Resources, Conservation and Recycling, 55: 1232-1251.
3. Ganji A. Khalili D., and Karamouz M. 2007. Development of stochastic dynamic Nash game model for reservoir operation. I. The symmetric stochastic model with perfect information. Advances in Water Resources, 30: 528Â542.
4. Jamshidi S., Badalians Gholikandi G., and Ahmadiar A. 2013. An Assessment of Using Water Quality Trading to Improve Water Quality Management. 3rd International Conference on Environmental Management and Planning, Tehran, Iran.
5. Kassab G., Halalsheh M., Klapwijk A., Fayyad M., and Vanlier J.B. 2010. Sequential Anaerobic Treatment for Domestic Wastewater-A review. Bioresource Technology, 101: 3299-3310.

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