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Relating N2O emissions during biological nitrogen removal with operating conditions using multivariate statistical techniques

(2018) WATER RESEARCH. 140. p.387-402
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Keywords
N2O emissions, Long-term monitoring campaign, Principal component analysis, Hierarchical k-means clustering, WASTE-WATER TREATMENT, PRINCIPAL COMPONENT ANALYSIS, GREENHOUSE-GAS EMISSIONS, TREATMENT-PLANT, OXIDE EMISSIONS, DISSOLVED-OXYGEN, CLUSTER-ANALYSIS, SLUDGE SYSTEM, CARBON SOURCE, NITRIC-OXIDE

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Citation

Please use this url to cite or link to this publication:

Chicago
Vasilaki, V, Eveline Volcke, AK Nandi, MCM van Loosdrecht, and E Katsou. 2018. “Relating N2O Emissions During Biological Nitrogen Removal with Operating Conditions Using Multivariate Statistical Techniques.” Water Research 140: 387–402.
APA
Vasilaki, V., Volcke, E., Nandi, A., van Loosdrecht, M., & Katsou, E. (2018). Relating N2O emissions during biological nitrogen removal with operating conditions using multivariate statistical techniques. WATER RESEARCH, 140, 387–402.
Vancouver
1.
Vasilaki V, Volcke E, Nandi A, van Loosdrecht M, Katsou E. Relating N2O emissions during biological nitrogen removal with operating conditions using multivariate statistical techniques. WATER RESEARCH. 2018;140:387–402.
MLA
Vasilaki, V, Eveline Volcke, AK Nandi, et al. “Relating N2O Emissions During Biological Nitrogen Removal with Operating Conditions Using Multivariate Statistical Techniques.” WATER RESEARCH 140 (2018): 387–402. Print.
@article{8563741,
  author       = {Vasilaki, V and Volcke, Eveline and Nandi, AK and van Loosdrecht, MCM and Katsou, E},
  issn         = {0043-1354},
  journal      = {WATER RESEARCH},
  keyword      = {N2O emissions,Long-term monitoring campaign,Principal component analysis,Hierarchical k-means clustering,WASTE-WATER TREATMENT,PRINCIPAL COMPONENT ANALYSIS,GREENHOUSE-GAS EMISSIONS,TREATMENT-PLANT,OXIDE EMISSIONS,DISSOLVED-OXYGEN,CLUSTER-ANALYSIS,SLUDGE SYSTEM,CARBON SOURCE,NITRIC-OXIDE},
  language     = {eng},
  pages        = {387--402},
  title        = {Relating N2O emissions during biological nitrogen removal with operating conditions using multivariate statistical techniques},
  url          = {http://dx.doi.org/10.1016/j.watres.2018.04.052},
  volume       = {140},
  year         = {2018},
}

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