title: Nitrogen removal optimization in a sequencing batch reactor treating sanitary landfill leachate.
abstract: Biological nitrogen removal via nitrite may represent a promising process for the optimization of nitrogen removal, in particular in the presence of a low biodegradable COD/TKN ratio. In the present study a lab-scale sequencing batch reactor (SBR) was monitored for approximately 2 years to evaluate the use of dissolved oxygen (DO), pH and oxidation-reduction potential (ORP) as monitoring parameters in order to optimize nitrogen removal via nitrite from leachate generated in old sanitary landfills. The SBR manifested a nitrification efficiency exceeding 99% whereas, due to the low biodegradability of the organic matter presents in the leachates, COD removal reached approximately 40% and the addition of external COD was required to accomplish denitrification process. Moreover, the results demonstrate that DO, pH and ORP are reliable parameters for use in the monitoring of nitritation and denitritation processes in SBRs treating landfill leachates. Through manual modification of the length of the SBR phases to achieve nitrogen removal via nitrite, the nitritation and denitritation processes were rendered unstable leading to the saving of 20% in addition of external COD, almost half the theoretically achievable value. Furthermore, the low dissolved oxygen concentration applied during the oxic phases in an attempt to increase the nitritation process would appear to cause the settling characteristics of the activated sludge to deteriorate.
authors.affiliation: ENEA, Italian National Agency for New Technologies, Energy and the Environment-Water Resource Management Section, Bologna, Italy. alessandro.spagni@bologna.enea.it
authors.forename: Alessandro
authors.initials: A
authors.lastname: Spagni
authors.forename: M Cristina
authors.initials: MC
authors.lastname: Lavagnolo
authors.forename: Carlotta
authors.initials: C
authors.lastname: Scarpa
authors.forename: Paola
authors.initials: P
authors.lastname: Vendrame
authors.forename: Andrea
authors.initials: A
authors.lastname: Rizzo
authors.forename: Luca
authors.initials: L
authors.lastname: Luccarini
mesh_terms: D052918:Environmental Restoration and Remediation / Q000379:methods*; D006863:Hydrogen-Ion Concentration; D009584:Nitrogen / Q000302:isolation & purification*; D010100:Oxygen; D014873:Water Pollutants / Q000302:isolation & purification*
chemical_list: D014873:Water Pollutants; D009584:Nitrogen; D010100:Oxygen