Nitrification and denitrification using biofilters packed with sulfur and limestone at a pilot-scale municipal wastewater treatment plant

反硝化 硝酸盐 硝化作用 生物滤池 水力停留时间 化学 碱度 环境工程 废水 环境化学 制浆造纸工业 环境科学 氮气 工程类 有机化学
作者
Zubair Ahmed,Sungmin Kim,In S. Kim,Min-Soo Bum,Kyu‐Jung Chae,Jin-Ho Joo,Yong Sik Ok,Sang‐Eun Oh
出处
期刊:Environmental Technology [Taylor & Francis]
卷期号:33 (11): 1271-1278 被引量:17
标识
DOI:10.1080/09593330.2011.619581
摘要

A pilot-scale municipal wastewater treatment plant composed of a fixed film activated sludge (IFAS) system with sulfur-limestone autotrophic denitrification (SLAD) was operated for a year and the influence of different operational factors was investigated. Nitrification efficiency was found to be above 91% at temperatures above 25 degrees C even at short hydraulic residence times (HRTs), but declined to 51 +/- 2% when the temperature dropped to 22 +/- 3 degrees C. The minimum HRT (HRT(min)) to achieve nitrification efficiency > 90% was found to be 12 h at temperatures above 25 degrees C. Denitrification efficiencies were found to be 89% and 79% at a nitrate loading of 0.36 kg NO3(-)-N m(-3) d(-1) and at 0.18 kg NO3(-)-N m(-3) d(-1), respectively. The minimum empty bed residence time (EBRT) to achieve denitrification efficiency above 80% without methanol addition was 3 h at a nitrate loading rate of 0.27-0.38 kg NO3(-)-N m(-3) d(-1). The amount of nitrate removed as a function of the sulfate formed was found to be 0.188 g NO3(-)-N/g SO4(2-). The nitrate load removed by the biofilter as a function of the alkalinity consumed was found to be very close to the theoretical stoichiometric value. The application of the pilot plant was proven to be feasible and the performance of the SLAD system, especially with respect to the minimum EBRT to achieve denitrification efficiency above 80%, the maximum denitrification rate and performance at temperatures below 10 degrees C. To achieve a nitrification efficiency above 90% in the IFAS system, temperature changes and the minimum HRT were found to be the most influential operational parameters.
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