Dynamic modeling of the ratio volatile fatty acids/bicarbonate alkalinity in a UASB reactor for potato processing wastewater treatment

Barampouti, EM; Mai, ST; Vlyssides, AG

dc.contributor.author	Barampouti, EM	en
dc.contributor.author	Mai, ST	en
dc.contributor.author	Vlyssides, AG	en
dc.date.accessioned	2014-03-01T01:22:13Z
dc.date.available	2014-03-01T01:22:13Z
dc.date.issued	2005	en
dc.identifier.issn	0167-6369	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16494
dc.subject	Alkalinity	en
dc.subject	Anaerobic digestion	en
dc.subject	Dynamic model	en
dc.subject	Potato processing wastewater	en
dc.subject	Upflow anaerobic sludge blanket	en
dc.subject	Volatile fatty acids	en
dc.subject.classification	Environmental Sciences	en
dc.subject.other	Alkalinity	en
dc.subject.other	Anaerobic digestion	en
dc.subject.other	Carbonates	en
dc.subject.other	Chemical oxygen demand	en
dc.subject.other	Chemical reactors	en
dc.subject.other	Fatty acids	en
dc.subject.other	Food processing	en
dc.subject.other	Mathematical models	en
dc.subject.other	pH effects	en
dc.subject.other	Regression analysis	en
dc.subject.other	Thermal effects	en
dc.subject.other	Water treatment plants	en
dc.subject.other	Dynamic mathematical model	en
dc.subject.other	Potato processing wastewater treatment	en
dc.subject.other	Upflow anaerobic sludge blanket reactor	en
dc.subject.other	Volatile fatty acids	en
dc.subject.other	Wastewater treatment	en
dc.subject.other	bicarbonate	en
dc.subject.other	biogas	en
dc.subject.other	industrial effluent	en
dc.subject.other	volatile fatty acid	en
dc.subject.other	waste treatment	en
dc.subject.other	wastewater	en
dc.subject.other	alkalinity	en
dc.subject.other	anaerobic digestion	en
dc.subject.other	article	en
dc.subject.other	controlled study	en
dc.subject.other	flow rate	en
dc.subject.other	food industry	en
dc.subject.other	food processing	en
dc.subject.other	hydrolysis	en
dc.subject.other	mathematical model	en
dc.subject.other	pH	en
dc.subject.other	potato	en
dc.subject.other	prediction	en
dc.subject.other	regression analysis	en
dc.subject.other	steady state	en
dc.subject.other	temperature	en
dc.subject.other	upflow reactor	en
dc.subject.other	waste water management	en
dc.subject.other	Bicarbonates	en
dc.subject.other	Bioreactors	en
dc.subject.other	Fatty Acids, Volatile	en
dc.subject.other	Food-Processing Industry	en
dc.subject.other	Hydrogen-Ion Concentration	en
dc.subject.other	Industrial Waste	en
dc.subject.other	Models, Biological	en
dc.subject.other	Regression Analysis	en
dc.subject.other	Solanum tuberosum	en
dc.subject.other	Waste Disposal, Fluid	en
dc.subject.other	Solanum tuberosum	en
dc.title	Dynamic modeling of the ratio volatile fatty acids/bicarbonate alkalinity in a UASB reactor for potato processing wastewater treatment	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10661-005-6282-1	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10661-005-6282-1	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	In this work, dynamic mathematical model for the prediction of the operational parameter volatile fatty acids/bicarbonate alkalinity (VFA/ ALK) in a UASB reactor was developed. The dynamic modeling technique was applied successfully to a two-year data record from an industrial wastewater treatment plant of a potato processing industry. The technique used included regression analysis by residuals. Seventeen parameters were examined including the following: wastewater's flow rate, reactor's temperature and pH, total and soluble influent COD, wastewater's temperature and pH, total and soluble effluent COD, volatile fatty acids, alkalinity, biogas production rate and each parameter with a time lag of up to 10 days. Finally, after all parameters and all time lag trials the best fitted model was developed. The model's adequacy was checked by χ2 test for a data record of the same UASB reactor but at a different time period and proved to be satisfactory. Additionally, the model's ability to predict and to control the plant's operation via VFA/ALK was examined. Through this model, in contrary to steady state models, various aspects of the process can be enlighten, such as the fact that the hydrolysis of starch requires at least a resident time of seven days. © Springer Science + Business Media, Inc. 2005.	en
heal.publisher	SPRINGER	en
heal.journalName	Environmental Monitoring and Assessment	en
dc.identifier.doi	10.1007/s10661-005-6282-1	en
dc.identifier.isi	ISI:000233529000007	en
dc.identifier.volume	110	en
dc.identifier.issue	1-3	en
dc.identifier.spage	121	en
dc.identifier.epage	128	en