Twenty-five years of ASM1: past, present and future of wastewater treatment modelling (English)
- New search for: Van Loosdrecht, M. C. M
- New search for: Van Loosdrecht, M. C. M
- New search for: Lopez-Vazquez, C. M
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In:
Journal of hydroinformatics
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17
, 5
; 697
;
2015
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ISSN:
- Article (Journal) / Print
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Title:Twenty-five years of ASM1: past, present and future of wastewater treatment modelling
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Contributors:Van Loosdrecht, M. C. M ( author ) / Lopez-Vazquez, C. M / Meijer, S. C. F / Hooijmans, C. M / Brdjanovic, D
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Published in:Journal of hydroinformatics ; 17, 5 ; 697
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Publisher:
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Place of publication:London
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Publication date:2015
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 83.65 / 38.85 / 38.85 / 83.65
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Source:
Table of contents – Volume 17, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 697
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Twenty-five years of ASM1: past, present and future of wastewater treatment modellingVan Loosdrecht, M. C. M et al. | 2015
- 719
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A simple clustering technique to extract subsets of data for function approximationKarunasingha, Dulakshi Santhusitha Kumari et al. | 2015
- 733
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A novel hybrid neural network based on continuity equation and fuzzy pattern-recognition for downstream daily river discharge forecastingChen, Xiao-yun et al. | 2015
- 745
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Modeling settling tanks for water treatment using computational fluid dynamicsStamou, Anastasios et al. | 2015
- 763
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Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emptionShafii, Mahyar et al. | 2015
- 771
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ATES: a geo-informatics decision aid tool for the integration of groundwater into land planningLavoie, Roxane et al. | 2015
- 789
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Evaluating the role of deterioration models for condition assessment of sewersRokstad, Marius Møller et al. | 2015
- 805
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A comparative evaluation of shear stress modeling based on machine learning methods in small streamsGenç, Onur et al. | 2015
- 817
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Data-driven recursive input–output multivariate statistical forecasting model: case of DO concentration prediction in Advancetown Lake, AustraliaBertone, Edoardo et al. | 2015
- 834
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Using SWAT to simulate streamflow in Huifa River basin with ground and Fengyun precipitation dataZhu, Honglei et al. | 2015