title: Startup pattern and performance enhancement of pilot-scale biofilm process for raw water pretreatment.
abstract: The quality of raw water is getting worse in developing countries because of the inadequate treatment of municipal sewage, industrial wastewater and agricultural runoff. Aiming at the biofilm enrichment and pollutant removal, two pilot-scale biofilm reactors were built with different biological carriers. Results showed that compared with the blank carrier, the biofilm was easily enriched on the biofilm precoated carrier and less nitrite accumulation occurred. The removal efficiencies of NH4(+)-N, DOC and UV254 increased under the aeration condition, and a optimum DO level for the adequate nitrification was 1.0-2.6mgL(-1) with the suitable temperature range of 21-22°C. Study on the trihalomethane prediction model indicated that the presentence of algae increased the risk of disinfection by-products production, which could be effectively controlled via manual algae removing and light shading. In this study, the performance of biofilm pretreatment process could be enhanced under the optimized condition of DO level and biofilm carrier.
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.
authors.forename: Guang-Feng
authors.initials: GF
authors.lastname: Yang
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China; Department of Environmental Engineering, Zhejiang Ocean University, No. 1 Haida South Road, Zhoushan 316022, China.
authors.forename: Li-Juan
authors.initials: LJ
authors.lastname: Feng
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.
authors.forename: Qi
authors.initials: Q
authors.lastname: Yang
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety, Hangzhou 310058, China. Electronic address: felix79cn@hotmail.com.
authors.forename: Liang
authors.initials: L
authors.lastname: Zhu
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Xu
authors.affiliation: Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety, Hangzhou 310058, China.
authors.forename: Xiang-Yang
authors.initials: XY
authors.lastname: Xu
mesh_terms: D001419:Bacteria / Q000254:growth & development; D018441:Biofilms; D018533:Biomass; D019149:Bioreactors / Q000382:microbiology; D002734:Chlorophyll / Q000032:analysis; D058645:Denaturing Gradient Gel Electrophoresis; D056890:Eukaryota / Q000254:growth & development; D009391:Nephelometry and Turbidimetry; D009584:Nitrogen / Q000302:isolation & purification; D010100:Oxygen / Q000032:analysis; D010865:Pilot Projects; D016133:Polymerase Chain Reaction; D013997:Time Factors; D062065:Wastewater / Q000382:microbiology*; D014874:Water Pollutants, Chemical / Q000302:isolation & purification; D014876:Water Pollution / Q000032:analysis; D018508:Water Purification / Q000295:instrumentation / Q000379:methods*
chemical_list: D002734:Chlorophyll; D009584:Nitrogen; D010100:Oxygen; D062065:Wastewater; D014874:Water Pollutants, Chemical
keywords: Biofilm; Nitrogen removal; Pretreatment process; Raw water; Trihalomethane prediction model