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Title: Controlling wasteloads from point and nonpoint sources to river system by GIS-aided Epsilon Robust Optimization model
Authors: Maeda, Shigeya
Kawachi, Toshihiko
Unami, Koichi  kyouindb  KAKEN_id  orcid (unconfirmed)
Takeuchi, Junichiro  kyouindb  KAKEN_id  orcid (unconfirmed)
Ichion, Eiji
Author's alias: 前田, 滋哉
Keywords: Optimization
Nonpoint pollutant source
Domestic wastewater
River water quality management
Geographic Information System
Issue Date: Apr-2010
Publisher: Elsevier B.V.
Journal title: Journal of Hydro-environment Research
Volume: 4
Issue: 1
Start page: 27
End page: 36
Abstract: A stochastic multiobjective programming model, an var epsilon-RO (Epsilon Robust Optimization) model as a simulation–optimization model with an embedding approach, is developed for river water quality management under hydro-environmental uncertainty. The model is a hybrid of the var epsilon-constraint method and the robust optimization framework, which depresses the high sensitivity of the model to the input data uncertainties by introducing a plausible set of scenarios. Possible pollutant sources (all kinds of point and nonpoint pollutant sources excepting forests) are treated as controllable. The finite element method is employed for approximations to COD (Chemical Oxygen Demand) and DO (Dissolved Oxygen) transport equations with convection and dispersion terms. Realizations for the in-stream COD–DO interactive events, thus described in discrete forms, are embedded as equality constraints in the model. Controlling wasteloads from a variety of sources is implemented by seeking noninferior solutions (management alternatives) that maximize total COD load to the stream while minimizing COD load deviations and in-stream water quality violations. Demonstrative operation of the model is made with its application to the Yasu River, Japan. It is shown that there is indeed an alternative management strategy to improve in-stream water quality as a whole while increasing the total allowable load to the stream. The var epsilon-RO model developed could thus be a viable alternative to the conventional river water quality management models.
Rights: © 2009 International Association for Hydro-environment Engineering and Research, Asia Pacific Division Published by Elsevier B.V.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI(Published Version): 10.1016/j.jher.2009.04.002
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