An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors

Environmental Modelling and Software

Volumn 37, Issue , 2012, Pages 103-109

  Ruano, M V ^a   Ribes, J ^a   Seco, A ^a   Ferrer, J ^b  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Fuzzy controllers; Morris screening; Sampling strategy; Sensitivity analysis

Indexed keywords

AUTOMATIC PROCEDURES; COMPUTATIONAL DEMANDS; FUZZY CONTROLLERS; INPUT FACTORS; MODEL OUTPUTS; MORRIS METHOD; PARAMETER SPACES; RANDOM SAMPLING; SAMPLING STRATEGIES; TRAJECTORY DESIGNS;

ECOLOGY; SENSITIVITY ANALYSIS;

COMPUTER SOFTWARE;

AUTOMATION; ENVIRONMENTAL MODELING; FUZZY MATHEMATICS; SAMPLING; SENSITIVITY ANALYSIS; TRAJECTORY;

EID: 84861958724     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.03.008     Document Type: Article

References (25)

1. Brun R., Kühni M., Siegrist H., Gujer W., Reichert P. Practical identifiability of ASM2d parameters-systematic selection and tuning of parameter subsets. Water Res. 2002, 36(16):4113-4127.
2. Campolongo F., Cariboni J., Saltelli A. An effective screening design for sensitivity analysis of large models. Environ. Modell. Softw. 2007, 22(10):1509-1518.
3. Campolongo F., Saltelli A., Cariboni J. From screening to quantitative sensitivity analysis. A unified approach. Comput. Phys. Commun. 2011, 182:978-988.
4. Chanona J., Pastor L., Borras L., Seco A. Fuzzy algorithm for pH control in a struvite crystallization reactor. Water Sci. Technol. 2006, 53(12):161-168.
5. Copp J. The COST Simulation Benchmark - Description and Simulator Manual 2002, COST (European Cooperation in the field of Scientific and Technical Research), Brussels, Belgium.
6. Ferrer J., Rodrigo M.A., Seco A., Penya-Roja J.M. Energy saving in the aeration process by fuzzy logic control. Water Sci. Technol. 1998, 38(3):209-217.
7. Ferrer J., Seco A., Serralta J., Ribes J., Manga J., Asensi E., Morenilla J.J., Llavador F. DESASS: a software tool for designing, simulating and optimising WWTPs. Environ. Modell. Softw. 2008, 23:19-26.
8. Manesis S.A., Sapidis D.J., King R.E. Intelligent control of wastewater treatment plants. Artif. Intell. Eng. 1998, 12(3):275-281.
9. Morris M. Factorial sampling plans for preliminary computational experiments. Technometrics 1991, 33(2):239-245.
10. Nossent J., Elsen P., Bauwens W. Sobol' sensitivity analysis of a complex environmental model. Environ. Modell. Softw. 2011, 26(12):1515-1525.
11. Ribes, J., Serralta, J., Seco, A., Ferrer, J., Lloret, R., Bernácer, I., Morenilla J.J., 2007. Implementation of a supervisory fuzzy logic based control system in the Denia WWTP. In: 10th IWA Conference on Design, Operation and Economics of Large Wastewater Treatment Plants, pp. 77-80, Vienna.
12. Ruano M.V., Ribes J., Sin G., Seco A., Ferrer J. A systematic approach for fine-tuning of fuzzy controllers applied to WWTPs. Environ. Modell. Softw. 2010, 25(5):670-676.
13. Ruano M.V., Ribes J., Ferrer J., Sin G. Application of the Morris method for screening the influential parameters of fuzzy controllers applied to WWTPs. Water Sci. Technol. 2011, 63(10):2199-2206.
14. Sensitivity Analysis 2000, Wiley, Chichester. A. Saltelli, E.M. Scott, K. Chen (Eds.).
15. Saltelli A., Tarantola S., Campolongo F., Ratto M. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models 2004, Wiley, Chicester.
16. Saltelli A., Annoni P. How to avoid a perfunctory sensitivity analysis. Environ. Modell. Softw. 2010, 25(12):1508-1517.
17. Saltelli A., Annoni P., Azzini I., Campolongo F., Ratto M., Tarantola S. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Comput. Phys. Commun. 2010, 181:259-270.
18. Seco A., Ribes J., Serralta J., Ferrer J. Biological Nutrient Removal Model No.1. Water Sci. Technol. 2004, 50(6):69-78.
19. Serralta J., Ribes J., Seco A., Ferrer J. A supervisory control system for optimising nitrogen removal and aeration energy consumption in wastewater treatment plants. Water Sci. Technol. 2002, 45(4/5):309-316.
20. Shahsavani D., Grimvall A. Variance-based sensitivity analysis of model outputs using surrogate models. Environ. Modell. Softw. 2011, 26(6):723-730.
21. Sin G., Gernaey K.V. Improving the Morris method for sensitivity analysis by scaling the elementary effects. Proceedings of the 19th European Symposium on Computer Aided Process Engineering (ESCAPE 19) 2009, 925-930. Elsevier. J. Jezowski, J. Thullie (Eds.).
22. Traoré A., Grieu S., Corominas L., Thiery F., Polit M., Colprim J. Fuzzy control of dissolved oxygen in a sequencing batch reactor pilot plant. Chem. Eng. J. 2005, 111(1):13-19.
23. Yong M., Yong-Zhen P., Xiao-Lian W., Shu-Ying W. Intelligent control aeration and external carbon addition for improving nitrogen removal. Environ. Modell. Softw. 2006, 21:821-828.
24. Weijers S.R., Vanrolleghem P.A. A procedure for selecting best identifiable parameters in calibrating activated sludge model no. 1 to full-scale plant data. Water Sci. Technol. 1997, 36(5):69-79.
25. Zhu G., Peng Y., Ma B., Wang Y., Yin C. Optimization of anoxic/oxic step feeding activated sludge process with fuzzy control model for improving nitrogen removal. Chem. Eng. J. 2009, 151(1-3):195-201.