Data-driven interval credibility constrained quadratic programming model for water quality management under uncertainty

Although integrated simulation-optimization modeling can provide a comprehensive and reliable analysis for water quality management (WQM), it is usually not easy to implement in practice. This study proposed a new efficient simulation-optimization modeling approach by leveraging the power of data-dr...

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Veröffentlicht in:	Journal of environmental management Jg. 293; S. 112791
Hauptverfasser:	Zhang, Qianqian, Li, Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2021
Schlagworte:	Canada case studies Data-driven modeling DICCQP environmental management Grand River simulation model Inexact linear regression management systems phosphorus regression analysis river water rivers simulation models total phosphorus Uncertainty water quality Water quality management watersheds Canada Data-driven modeling Grand River simulation model DICCQP Uncertainty Water quality management Inexact linear regression
ISSN:	0301-4797, 1095-8630, 1095-8630
Online-Zugang:	Volltext
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