Journal
SUSTAINABILITY
Volume 11, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/su11010033
Keywords
robust optimization; water quality; water and environmental management; decision making; uncertainty; box uncertainty set
Funding
- National Natural Science Foundation of China [21777106]
- National Major Science & Technology Program for Water Pollution Control Treatment [2017ZX07202]
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In this study, we introduce a robust linear programming approach for water and environmental decision-making under uncertainty. This approach is of significant practical utility to decision makers for obtaining reliable and robust management decisions that are immune to the uncertainty attributable to data perturbations. The immunization guarantees that the chosen robust management plan will be implementable with no violation of the mandatory constraints of the problem being studied-i.e., natural resource supply constraint, environmental carrying capacity constraint, environmental pollution control constraint, etc-and that the actual value of the objective will be no worse than the given estimation if the perturbations of data fall within the specified uncertainty set. A simplified example in regional water quality management is provided to help water and environmental practitioners to better understand how to implement robust linear programming from the perspective of application, as well as to illustrate the significance and necessity of implementing robust optimization techniques in real-world practices. Robust optimization is a growing research field that requires more interdisciplinary research efforts and engagements from water and environmental practitioners. Both may benefit from the advances of management science.
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