E. Feizi Ashtiani and S. Jamshidi and M.H Niksokhan and A. Feizi Ashtiani Value Index, a Novel Decision Making Approach for Waste Load Allocation
646 - 650
2015
9
6
International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering http://waset.org/publications/10001527
http://waset.org/publications/102
World Academy of Science, Engineering and Technology
Waste load allocation (WLA) policies may use multiobjective
optimization methods to find the most appropriate and
sustainable solutions. These usually intend to simultaneously
minimize two criteria, total abatement costs (TC) and environmental
violations (EV). If other criteria, such as inequity, need for
minimization as well, it requires introducing more binary
optimizations through different scenarios. In order to reduce the
calculation steps, this study presents value index as an innovative
decision making approach. Since the value index contains both the
environmental violation and treatment costs, it can be maximized
simultaneously with the equity index. It implies that the definition of
different scenarios for environmental violations is no longer required.
Furthermore, the solution is not necessarily the point with minimized
total costs or environmental violations. This idea is testified for Haraz
River, in north of Iran. Here, the dissolved oxygen (DO) level of river
is simulated by StreeterPhelps equation in MATLAB software. The
WLA is determined for fish farms using multiobjective particle
swarm optimization (MOPSO) in two scenarios. At first, the tradeoff
curves of TCEV and TCInequity are plotted separately as the
conventional approach. In the second, the ValueEquity curve is
derived. The comparative results show that the solutions are in a
similar range of inequity with lower total costs. This is due to the
freedom of environmental violation attained in value index. As a
result, the conventional approach can well be replaced by the value
index particularly for problems optimizing these objectives. This
reduces the process to achieve the best solutions and may find better
classification for scenario definition. It is also concluded that decision
makers are better to focus on value index and weighting its contents
to find the most sustainable alternatives based on their requirements.
International Science Index 102, 2015