References
- C. Zaharia, D. Suteu, Organic Pollutants Ten Years After
the Stockholm Convention – Environmental and Analytical
Update, T. Puzyn, A. Mostrage-Szlichtyng, Eds., InTechOpen,
Rijeka, Croatia, 2012.
- Y. Anjaneyulu, N. Sreedhara Chary, D. Samuel Suman Raj,
Decolourization of industrial effluents – available methods and
emerging technologies – a review, Rev. Environ. Sci. Biotechnol.,
4 (2005) 245–273.
- C. Zaharia, D. Suteu, Coal fly ash as adsorptive material for
treatment of a real textile effluent: operating parameters and
treatment efficiency, Environ. Sci. Pollut. Res., 20 (2012),
doi: 10. 1007/s11356-012-065-z.
- C. Zaharia, Environmental Legislation, Politehnium Publishing
House, Iasi, Romania, 2008.
- A. Latif, S. Noor, Q.M. Sharif, M. Najeebullah, Different
techniques recently used for the treatment of textile dyeing
effluents: a review, J. Chem. Soc. Pak., 32 (2010) 115–124.
- D. Suteu, C. Zaharia, A. Muresan, R. Muresan, A. Popescu,
Using of industrial waste materials for textile wastewater
treatment, Environ. Eng. Manage. J., 8 (2009) 1097–1102.
- Y. Han, W. Zhang, X. Kan, L. Dong, Z. Jiang, H.J. Li, H. Yang,
R. Cheng, Sorption of methylene blue by carboxymethyl
cellulose and reuse process in a secondary sorption, Colloids
Surf., A, 380 (2011) 143–151.
- M.A. Ubbe, K.R. Beck, W.G. O'Neal, Y.Ch. Sharma, Cellulosic
substrates for removal pollutants from aqueous system:
a review. 2. Dyes, BioResources, 7 (2012) 2592–2687.
- M.A.M. Salleh, D.K. Mahmoud, W.A.W.A. Karim, A. Idris,
Cationic and anionic dye adsorption by agricultural solid
wastes: a comprehensive review, Desalination, 280 (2011) 1–13.
- G. Crini, Non-conventional low-cost adsorbents for dye
removal: a review, Bioresour. Technol., 97 (2006) 1061–1085.
- R.M. Bozlur, S. Shibata, C.F. Diba, M. Uono, Low cost
biodegradable adsorbent material for the removal of dissolved
dyes from aqueous solutions: an economical process, Int. J. Eng.
Technol., 2 (2012) 468–473.
- I. Enayatollahi, A.A. Bazzazi, A. Asadi, Comparison between
neural networks and multiple regression analysis to predict
rock fragmentation in open-pit mines, Rock Mech. Rock Eng.,
47 (2014) 799–807.
- I. Chairez, I. García-Peña, A. Cabrera, Dynamic numerical
reconstruction of a fungal biofiltration system using differential
neural network, J. Process Control, 19 (2009) 1103–1110.
- S. Yildiz, M. Değirmenci, Estimation of oxygen exchange during
treatment sludge composting through multiple regression
and artificial neural networks (estimation of oxygen exchange
during composting), Int. J. Environ. Res., 9 (2015) 1173–1182.