Denitrification potential enhancement by addition of external carbon sources in a pre-denitrification process

作     者：PENG Yong-zhen MA Yong WANG Shu-ying 

作者机构：School of Municipal and Environmental Engineering Harbin Institute of Technology Harbin 150090 China Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering Beijing University of Technology Beijing 100022 China 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2007年第19卷第3期

页      面：284-289页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

基　　金：Project supported by the Key International Cooperative Project of the National Natural Science Foundation of China (No. 50521140075) the Beijing Science and Technology Committee Match Project of "863" Plan(No. Z0005186040421) the Dr. Special Teaching and Research Funds for University (No. 20060005002) 

主　　题：predenitrification process external carbon addition ethanol denitrification potential 

摘      要：The aim of this study is to investigate the denitrification potential enhancement by addition of external carbon sources and to estimate the denitrification potential for the predenitrification system using nitrate utilization rate （NUR） batch tests. It is shown that the denitrification potential can be substantially increased with the addition of three external carbon sources, i.e. methanol, ethanol, and acetate, and the denitrification rates of ethanol, acetate, and methanol reached up to 9.6, 12, and 3.2 mgN/（g VSS.h）, respectively, while that of starch wastewater was only 0.74 mgN/（g VSS,h）. By comparison, ethanol was found to be the best external carbon source. NUR batch tests with starch wastewater and waste ethanol were carried out. The denitfification potential increased from 5.6 to 16.5 mg NO3-N/L owing to waste ethanol addition. By means of NUR tests, the wastewater characteristics and kinetic parameters can be estimated, which are used to determine the denitrification potential of wastewater, to calculate the denitrification potential of the plant and to predict the nitrate effluent quality, as well as provide information for developing carbon dosage control strategy.