A recourse-based nonlinear programming model for stream water quality management |
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| Authors: | Y P Li G H Huang |
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| Institution: | (1) MOE Key Laboratory of Regional Energy Systems Optimization, S-C Energy and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China |
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| Abstract: | A recourse-based nonlinear programming (RBNP) method is developed for stream water quality management under uncertainty. It
can not only reflect uncertainties expressed as interval values and probability distributions but also address nonlinearity
in the objective function. A 0-1 piecewise linearization approach and an interactive algorithm are advanced for solving the
RBNP model. The RBNP is applied to a case of planning stream water quality management. The RBNP modeling system can provide
an effective linkage between environmental regulations and economic implications expressed as penalties or opportunity losses
caused by improper policies. The solutions can be used for generating a variety of alternatives under different combinations
of pre-regulated targets, which are also associated with different water-quality-violation risk levels and varied potential
economic penalty or loss values. |
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