Catalytic degradation of Orange II in a ferrioxalate-assisted photo-Fenton process using a combined UV-A/C-solar pilot-plant system

Applied Catalysis B: Environmental

Volumn 95, Issue 1-2, 2010, Pages 120-129

  Monteagudo, J M ^a   Duran A ^a   Martín, I San ^a   Aguirre, M ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

CPC; Ferrioxalate; Neural networks; Orange II; Photo Fenton

Indexed keywords

ARTIFICIAL ULTRAVIOLET LIGHT SOURCES; AVERAGE TEMPERATURE; CATALYTIC DEGRADATION; CHROMOPHORE GROUP; CLOUDY DAYS; COMPOUND PARABOLIC COLLECTOR; CPC; DIRECT OXIDATION; ELECTRIC POWER; EXPOSURE-TIME; FE CATALYST; FERRIOXALATE; FERROUS CONCENTRATION; HYDROXYL RADICALS; INITIAL CONCENTRATION; MULTIVARIATE EXPERIMENTAL DESIGN; OPTIMIZATION STUDIES; OPTIMUM CONDITIONS; ORANGE II; OVERALL RATE; OXALATE COMPLEXES; OXALIC ACID; PH ADJUSTMENT; PHOTO CATALYTIC DEGRADATION; PHOTO-FENTON; PHOTO-FENTON PROCESS; PHOTOLYTIC BREAKDOWN; PLANT SYSTEMS; RADICAL MECHANISM; RADICAL REACTIONS; SOLAR POWER; SOLAR PROCESS; SOLAR REACTORS; TERT-BUTYL ALCOHOLS; THREE COMPONENT; TOC REMOVAL; TOTAL ORGANIC CARBON;

ALCOHOLS; CHROMOPHORES; CORROSION PREVENTION; COST REDUCTION; HYDROGEN PEROXIDE; IRON; LIGHT SOURCES; METAL RECOVERY; OPERATING COSTS; ORGANIC CARBON; OXIDATION; PHOTODEGRADATION; PILOT PLANTS; RATE CONSTANTS; REACTION KINETICS; SOLAR CONCENTRATORS; SOLAR ENERGY; ULTRAVIOLET RADIATION;

NEURAL NETWORKS;

EID: 76749165670     PISSN: 09263373     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apcatb.2009.12.018     Document Type: Article

References (19)

1. Rodríguez M., Malato S., Pulgarín C., Contreras S., Curcó D., Giménez J., and Esplugas S. Solar Energy 79 (2005) 360-368
2. Nogueira R.F.P., Silva M.R.A., and Trovó A.G. Solar Energy 79 (2005) 384-392
3. Durán A., Monteagudo J.M., and Amores E. Appl. Catal. B: Environ. 80 (2008) 42-50
4. Malato S., Blanco J., Cáceres J., Fernández-Alba A.R., Agüera A., and Rodríguez A. Catal. Today 76 (2002) 209-220
5. Feng J., Hu X., Yue P.L., Zhu H.Y., and Lu G.Q. Water Res. 37 (2003) 3776-3784
6. Malato S., Blanco J., Maldonado M.I., Fernández P., Alarcón D., Collares M., Farinha J., and Correia de Oliveira J. Solar Energy 77 (2004) 513-524
7. Bauer R., Waldner G., Fallmann H., Hager S., Karé H., Krutzler T., Malato S., and Maletzky P. Catal. Today 53 (1999) 131-144
8. Nogueira R.F.P., Trovó A.G., and Mode D.F. Chemosphere 48 (2002) 385-391
9. Lucas M.S., and Peres J.A. Dyes Pigment 74 (2007) 622-629
10. Safarzadeh-Amiri A., Bolton J.R., and Cater S.R. Water Res. 31 (1997) 787-798
11. Selvam K., Muruganandham M., and Swaminathan M. Sol. Energy Mater. Sol. Cells 89 (2005) 61-74
12. Monteagudo J.M., Durán A., and López-Almodovar C. Appl. Catal. B: Environ. 83 (2008) 46-55
13. Monteagudo J.M., Durán A., San Martin I., and Aguirre M. Appl. Catal. B: Environ. 89 (2009) 510-518
14. Box G.E.P., Hunter W.G., and Hunter J.S. Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building (1978), Wiley, New York
15. Morgan D.P., and Scofield C.L. Neural Networks and Speech Processing (1991), Kluwver Academic Publishers, London
16. Nath R., Rajagopalan B., and Ryker R. Comput. Oper. Res. 24 (1997) 767-773
17. Marquardt D.W. J. Soc. Ind. Appl. Math. 11 (1963) 431-441
18. Durán A., Monteagudo J.M., and Mohedano M. Appl. Catal. B: Environ. 65 (2006) 127-134
19. Li F.B., Li X.Z., Li X.M., Liu T.X., and Dong J. J. Colloid Int. Sci. 311 (2007) 481-490