Identification of primary effecters of N2O emissions from full-scale biological nitrogen removal systems using random forest approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Min Joon | - |
dc.contributor.author | Choi, Sangki | - |
dc.contributor.author | Bae, Wo Bin | - |
dc.contributor.author | Lee, Jaejin | - |
dc.contributor.author | Han, Heejoo | - |
dc.contributor.author | Kim, Daehyun D. | - |
dc.contributor.author | Kwon, Miye | - |
dc.contributor.author | Myung, Jaewook | - |
dc.contributor.author | Kim, Young Mo | - |
dc.contributor.author | Yoon, Sukhwan | - |
dc.date.accessioned | 2021-08-02T08:51:55Z | - |
dc.date.available | 2021-08-02T08:51:55Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.issn | 0043-1354 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8900 | - |
dc.description.abstract | Wastewater treatment plants (WWTPs) have long been recognized as point sources of N2O, a potent greenhouse gas and ozone-depleting agent. Multiple mechanisms, both biotic and abiotic, have been suggested to be responsible for N2O production from WWTPs, with basis on extrapolation from laboratory results and statistical analyses of metadata collected from operational full-scale plants. In this study, random forest (RF) analysis, a machine-learning approach for feature selection from highly multivariate datasets, was adopted to investigate N2O production mechanism in activated sludge tanks of WWTPs from a novel perspective. Standardized measurements of N2O effluxes coupled with exhaustive metadata collection were performed at activated sludge tanks of three biological nitrogen removal WWTPs at different times of the year. The multivariate datasets were used as inputs for RF analyses. Computation of the permutation variable importance measures returned biomass-normalized dissolved inorganic carbon concentration (DIC center dot VSS-1) and specific ammonia oxidation activity (sOURAOB) as the most influential parameters determining N2O emissions from the aerated zones (or phases) of activated sludge bioreactors. For the anoxic tanks, dissolved-organic-carbon-to-NO2-/NO3- ratio (DOC center dot(NO2-N + NO3--N)(-1)) was singled out as the most influential. These data analysis results clearly indicate disparate mechanisms for N2O generation in the oxic and anoxic activated sludge bioreactors, and provide evidences against significant contributions of N2O carryover across different zones or phases or niche-specific microbial reactions, with aerobic NH3/NH4+ oxidation to NO2- and anoxic denitrification predominantly responsible from aerated and anoxic zones or phases of activated sludge bioreactors, respectively. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Identification of primary effecters of N2O emissions from full-scale biological nitrogen removal systems using random forest approach | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Young Mo | - |
dc.identifier.doi | 10.1016/j.watres.2020.116144 | - |
dc.identifier.scopusid | 2-s2.0-85088636904 | - |
dc.identifier.wosid | 000589969900004 | - |
dc.identifier.bibliographicCitation | WATER RESEARCH, v.184, pp.1 - 9 | - |
dc.relation.isPartOf | WATER RESEARCH | - |
dc.citation.title | WATER RESEARCH | - |
dc.citation.volume | 184 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Engineering, Environmental | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | WASTE-WATER TREATMENT | - |
dc.subject.keywordPlus | AMMONIA-OXIDIZING BACTERIA | - |
dc.subject.keywordPlus | OXIDE PRODUCTION | - |
dc.subject.keywordPlus | ACTIVATED-SLUDGE | - |
dc.subject.keywordPlus | DISSOLVED-OXYGEN | - |
dc.subject.keywordPlus | TREATMENT PLANTS | - |
dc.subject.keywordPlus | REDUCTION | - |
dc.subject.keywordPlus | DENITRIFICATION | - |
dc.subject.keywordPlus | OXIDATION | - |
dc.subject.keywordPlus | NITRITE | - |
dc.subject.keywordAuthor | Nitrous oxide | - |
dc.subject.keywordAuthor | Wastewater treatment plants | - |
dc.subject.keywordAuthor | Biological nitrogen removal | - |
dc.subject.keywordAuthor | Nitrification | - |
dc.subject.keywordAuthor | Denitrification | - |
dc.subject.keywordAuthor | Random forest | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0043135420306813?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.