Robust optimization model for water quality management in river systems
Robust optimization model for water quality management in river systems
复制标题
河流系统水质管理的鲁棒优化模型
DOI：
10.2183/pjab.76.112
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
S. Maeda
中科院分区：
文献类型：
--
作者：
T. Kawachi;S. Maeda
提出了一种先进的鲁棒优化（RO）模型来管理河流系统的水质，它包含了每一个可以想象的不确定性存在于水质问题，并适用于网络的流，作为我们早期的RO模型的改进。生化需氧量（BOD）和溶解氧（DO）浓度的进水从上游端添加在一个家庭的基本不确定性参数。为了扩大可行的解决方案的范围，减少了与河流水质标准相关的限制条件的数量。一个优化问题的BOD负荷的河流系统解决考虑到解决方案的鲁棒性有关的BOD负荷的变化和模型的鲁棒性有关的违反规定的流水质标准。通过一个优化算例，证明了该模型成功地为众多河流网络的水质管理提供了一系列可供选择的策略。
An advanced robust optimization (RO) model to manage water quality in river systems is proposed which embraces every conceivable uncertainty present in water quality problems and is applicable to a network of streams, as an improvement over our earlier RO model. Biochemical oxygen demand (BOD) and dissolved oxygen (DO) concentrations of the incoming water from the upstream ends are added in a family of basic uncertainty parameters. In order to widen a spectrum of feasible solutions, the number of constraints associated with in-stream water quality standards is reduced. An optimization problem of BOD loading to a river system is solved with consideration to the solution robustness related to variability of the BOD load and to the model robustness related to violations of the in-stream water quality standards prescribed. Through an optimization example, it is demonstrated that the model proposed successfully provides a series of alternative strategies for water quality management in a multitudinously delimited network of streams.