article · 2008
Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies
Xiangdong Li, Qiyan Feng, Qingjun Meng, Yujie Ceng
Cited by 4Abstract and details only
Abstract
Electrocoagulation was used for treating micro-polluted raw water. Laboratory scale experiments were conducted with two electrode materials namely, aluminum and iron, Aluminum was selected in these experiments. The optimum working pH was found to be in the neutral condition, allowing raw water to be treated directly without pH adjustment. The given current density and operating time were 50 A/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 20 min, the removal efficiency of TOC, Oil and NH <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> -N were 69.9%, 85.7% and 75% respectively, the removal efficiency of TOC higher than commonly methods.
Cite this paper
Li, X., Feng, Q., Meng, Q., & Ceng, Y. (2008). Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies. https://doi.org/10.1109/icbbe.2008.1103
Li, Xiangdong, et al. “Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies.” 2008, pp. 3091–94, https://doi.org/10.1109/icbbe.2008.1103.
Li, Xiangdong, Qiyan Feng, Qingjun Meng, and Yujie Ceng. 2008. “Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies.” https://doi.org/10.1109/icbbe.2008.1103.
Li, X. et al. (2008) ‘Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies’. Available at: https://doi.org/10.1109/icbbe.2008.1103.
@article{li2008electrocoagulation,
title = {{Electrocoagulation for the Drinking Water Treatment of Polluted Surface Water Supplies}},
author = {Li, Xiangdong and Feng, Qiyan and Meng, Qingjun and Ceng, Yujie},
pages = {3091--3094},
year = {2008},
doi = {10.1109/icbbe.2008.1103}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.