Multi-objective multi-pollutant waste load allocation model for rivers using coupled archived simulated annealing algorithm with QUAL2Kw

A simulation-optimization approach is a suitable tool in waste load allocation problems when considering competing objectives and complex pollutant fate and transport processes in water bodies. Here, an archived multi-objective simulated annealing (AMOSA) algorithm is developed to determine various...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of hydroinformatics Jg. 21; H. 3; S. 397 - 410
Hauptverfasser:	Saadatpour, Motahareh, Afshar, Abbas, Khoshkam, Helaleh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IWA Publishing 01.05.2019
Schlagworte:	Algorithms Annealing Biochemical oxygen demand Civil engineering Coastal inlets Coliforms Computer simulation Contamination Costs Dissolved oxygen Effluents Environmental engineering Hydrology Landfills Leachates Linear programming Monitoring systems Multiple objective analysis Nitrates Objectives Optimization Optimization algorithms Phosphates Pollutant load Pollutant removal Pollutants Pollution dispersion Pollution load Problems Quality management Rivers Science Simulated annealing Software Soil sciences Solid suspensions Stream water Suspended particulate matter Total oxygen demand Total suspended solids Transport processes Waste disposal sites Waste load Wastewater Wastewater treatment Wastewater treatment plants Water pollution Water quality Water treatment Iran
ISSN:	1464-7141, 1465-1734
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!