dc.contributor.author | Sun, Jing | |
dc.contributor.author | Dai, Xiaohu | |
dc.contributor.author | Peng, Lai | |
dc.contributor.author | Liu, Yiwen | |
dc.contributor.author | Wang, Qilin | |
dc.contributor.author | Ni, Bing-Jie | |
dc.date.accessioned | 2021-01-06T23:08:02Z | |
dc.date.available | 2021-01-06T23:08:02Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1873-3212 | |
dc.identifier.doi | 10.1016/j.cej.2017.06.136 | |
dc.identifier.uri | http://hdl.handle.net/10072/400744 | |
dc.description.abstract | Perchlorate (ClO4−) is recognized as an important contaminant in surface water and groundwater, which would pose health risks at very low concentrations. A methane-based membrane biofilm reactor (MBfR) has been successfully demonstrated for perchlorate reduction, which provided an alternative solution for perchlorate remediation with low cost. In this work, a multispecies biofilm model was developed to evaluate perchlorate reduction in the methane-based MBfR under different operational conditions. The model was calibrated and validated using the experimental data from the long-term operation of the MBfR at seven distinct stages. The results suggested that the developed model could satisfactorily describe perchlorate reduction and denitrification performances in the MBfR (R2 > 0.9). The modeling results provided insight into the microbial community distribution in the biofilm, with aerobic methanotrophs and perchlorate reduction bacteria being mainly located at the membrane side (∼60%) and heterotrophic bacteria being situated near the liquid side (∼50%). The model simulations indicated that over 80% of perchlorate removal efficiency could be achieved through controlling the optimal combinations of methane pressure (PCH4) and perchlorate loading (LClO4) (e.g., applying a PCH4 of 30 kPa at a LClO4 of 0.08 g Cl/m2/d). In addition, the perchlorate reduction would be inhibited by the presence of nitrate and nitrite in the MBfR, which should be appropriately controlled during the future practical application of the promising process. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.publisher.place | Netherlands | |
dc.relation.ispartofpagefrom | 555 | |
dc.relation.ispartofpageto | 563 | |
dc.relation.ispartofjournal | Chemical Engineering Journal | |
dc.relation.ispartofvolume | 327 | |
dc.subject.fieldofresearch | Chemical engineering | |
dc.subject.fieldofresearch | Chemical engineering not elsewhere classified | |
dc.subject.fieldofresearch | Civil engineering | |
dc.subject.fieldofresearch | Environmental engineering | |
dc.subject.fieldofresearchcode | 4004 | |
dc.subject.fieldofresearchcode | 400499 | |
dc.subject.fieldofresearchcode | 4005 | |
dc.subject.fieldofresearchcode | 4011 | |
dc.subject.keywords | Science & Technology | |
dc.subject.keywords | Engineering | |
dc.title | A biofilm model for assessing perchlorate reduction in a methane-based membrane biofilm reactor | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dcterms.bibliographicCitation | Sun, J; Dai, X; Peng, L; Liu, Y; Wang, Q; Ni, B-J, A biofilm model for assessing perchlorate reduction in a methane-based membrane biofilm reactor, Chemical Engineering Journal, 2017, 327, pp. 555-563 | |
dc.date.updated | 2021-01-06T23:06:59Z | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Wang, Qilin | |