This work proposes an innovative approach of watershed level mercury trading for sustainable management of mercury pollution. An optimization based decision-making framework has been developed to optimize the selection of mercury treatment technologies by industries in a watershed in the presence of nonlinearity and uncertainty in technology cost models. The impact of the regulation on technology selection by industries, often ignored in existing trading literature, has been quantified. A particularly novel contribution of this framework is the consideration of health care cost as an objective. The application of the framework to the Savannah River watershed case study in US emphasizes the importance of health care cost while evaluating the benefits of trading. Nonlinearity and uncertainty in the cost models is shown to significantly affect technology selection. The ecological perspective of innovation comes from the proposal of using water body liming to mitigate mercury bioaccumulation and concerns of mercury hotspots.
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1 March 2011
Research Article|
March 01 2011
An Innovative Trading Approach for Mercury Waste Management
Yogendra Shastri;
Yogendra Shastri
1
Vishwamitra Research Institute Center for Uncertain Systems, Tools for Optimization and Management (CUSTOM), 368 56th Street, Clarendon Hill, IL - 60514
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Urmila Diwekar;
Urmila Diwekar
1
Vishwamitra Research Institute Center for Uncertain Systems, Tools for Optimization and Management (CUSTOM), 368 56th Street, Clarendon Hill, IL - 60514
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Sanjay Mehrotra
Sanjay Mehrotra
2
Department of Industrial Engineering and Management Sciences, Northwestern University, 2145 North Sheridan Road, Evanston, IL - 60208
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Publisher: Emerald Publishing
Online ISSN: 1757-2231
Print ISSN: 1757-2223
International Journal of Innovation Science (2011) 3 (1): 9–22.
Citation
Shastri Y, Diwekar U, Mehrotra S (2011), "An Innovative Trading Approach for Mercury Waste Management". International Journal of Innovation Science, Vol. 3 No. 1 pp. 9–22, doi: https://doi.org/10.1260/1757-2223.3.1.9
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