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234 related items for PubMed ID: 16248178
1. Impact of dimension uncertainty and model calibration on sewer system assessment. Korving H, Clemens F. Water Sci Technol; 2005; 52(5):35-42. PubMed ID: 16248178 [Abstract] [Full Text] [Related]
2. Stochastic long term modelling of a drainage system with estimation of return period uncertainty. Thorndahl S. Water Sci Technol; 2009; 59(12):2331-9. PubMed ID: 19542638 [Abstract] [Full Text] [Related]
3. Optimization of measurement campaigns for calibration of a conceptual sewer model. Kleidorfer M, Möderl M, Fach S, Rauch W. Water Sci Technol; 2009; 59(8):1523-30. PubMed ID: 19403965 [Abstract] [Full Text] [Related]
4. To what extent does variability of historical rainfall series influence extreme event statistics of sewer system surcharge and overflows? Schaarup-Jensen K, Rasmussen MR, Thorndahl S. Water Sci Technol; 2009; 60(1):87-95. PubMed ID: 19587406 [Abstract] [Full Text] [Related]
5. Modelling of biofilters for ammonium reduction in combined sewer overflow. Henrichs M, Welker A, Uhl M. Water Sci Technol; 2009; 60(3):825-31. PubMed ID: 19657178 [Abstract] [Full Text] [Related]
6. Measurement, calibration of rainfall-runoff models and assessment of the return period of flooding events at urban catchment Kumodraz in Belgrade. Despotović J, Petrović J, Jacimović N. Water Sci Technol; 2002; 45(2):127-33. PubMed ID: 11888175 [Abstract] [Full Text] [Related]
7. Long-term pollution simulation in combined sewer networks. Masse B, Zug M, Tabuchi JP, Tisserand B. Water Sci Technol; 2001; 43(7):83-9. PubMed ID: 11385878 [Abstract] [Full Text] [Related]
8. Impact of sewer condition on urban flooding: an uncertainty analysis based on field observations and Monte Carlo simulations on full hydrodynamic models. van Bijnen M, Korving H, Clemens F. Water Sci Technol; 2012; 65(12):2219-27. PubMed ID: 22643419 [Abstract] [Full Text] [Related]
9. Combination of computational techniques--evaluation of CSO efficiency for suspended solids separation. Pollert I, Stránský D. Water Sci Technol; 2003; 47(4):157-66. PubMed ID: 12666813 [Abstract] [Full Text] [Related]
10. Dynamics and dynamic modelling of H2S production in sewer systems. Sharma KR, Yuan Z, de Haas D, Hamilton G, Corrie S, Keller J. Water Res; 2008 May; 42(10-11):2527-38. PubMed ID: 18336860 [Abstract] [Full Text] [Related]
11. Evaluation of effectiveness of combined sewer overflow control measures by operational data. Schroeder K, Riechel M, Matzinger A, Rouault P, Sonnenberg H, Pawlowsky-Reusing E, Gnirss R. Water Sci Technol; 2011 May; 63(2):325-30. PubMed ID: 21252438 [Abstract] [Full Text] [Related]
12. Probabilistic emission and immission modelling: case-study of the combined sewer-WWTP-receiving water system at Dessel (Belgium). Willems P, Berlamont J. Water Sci Technol; 2002 May; 45(3):117-24. PubMed ID: 11902462 [Abstract] [Full Text] [Related]
15. Development of the real-time control (RTC) system for Tokyo sewage system. Maeda M, Mizushima H, Ito K. Water Sci Technol; 2005 May; 51(2):213-20. PubMed ID: 15790246 [Abstract] [Full Text] [Related]
16. Sewer modelling based on highly distributed calibration data sets and multi-objective auto-calibration schemes. Muschalla D, Schneider S, Schröter K, Gamerith V, Gruber G. Water Sci Technol; 2008 May; 57(10):1547-54. PubMed ID: 18520011 [Abstract] [Full Text] [Related]
17. Solids separation efficiency of combined sewer overflows. Luyckx G, Vaes G, Berlamont J. Water Sci Technol; 2005 May; 51(2):71-8. PubMed ID: 15790230 [Abstract] [Full Text] [Related]
18. Continuous monitoring in sewer networks an approach for quantification of pollution loads from CSOs into surface water bodies. Gruber G, Winkler S, Pressl A. Water Sci Technol; 2005 May; 52(12):215-23. PubMed ID: 16477989 [Abstract] [Full Text] [Related]