Cited by 62

The DOI matches its Crossref record.

Influence of nanofiltration concentrate recirculation on performance and economic feasibility of a pilot-scale membrane bioreactor-nanofiltration hybrid process for textile wastewater treatment with high water recovery

Li, Kun, Liu, Qiang, Fang, Fan, Wu, Xiongwei, Xin, Jiaqi, Sun, Shengjin, Wei, Yuansong, Ruan, Roger, Chen, Paul, Wang, Yunpu, Addy, Min·2020·Journal of Cleaner Production

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2020.121067

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 34

  1. Alcaina-Miranda, 2009, Nanofiltration as a final step towards textile wastewater reclamation, Desalination, 240, 290, 10.1016/j.desal.2008.02.028 · DOI
  2. Andrade, 2014, Nanofiltration as tertiary treatment for the reuse of dairy wastewater treated by membrane bioreactor, Separ. Purif. Technol., 126, 21, 10.1016/j.seppur.2014.01.056 · DOI
  3. Chon, 2012, Membrane bioreactor and nanofiltration hybrid system for reclamation of municipal wastewater: removal of nutrients, organic matter and micropollutants, Bioresour. Technol., 122, 181, 10.1016/j.biortech.2012.04.048 · DOI
  4. Cinperi, 2019, Treatment of woolen textile wastewater using membrane bioreactor, nanofiltration and reverse osmosis for reuse in production processes, J. Clean. Prod., 223, 837, 10.1016/j.jclepro.2019.03.166 · DOI · Paper page
  5. Dasgupta, 2015, Remediation of textile effluents by membrane based treatment techniques: a state of the art review, J. Environ. Manag., 147, 55
  6. De Jager, 2012, Membrane bioreactor application within the treatment of high-strength textile effluent, Water Sci. Technol., 65, 907, 10.2166/wst.2012.920 · DOI
  7. Dubois, 1956, Colorimetric method for determination of sugars and related substances, Anal. Chem., 28, 350, 10.1021/ac60111a017 · DOI · Paper page
  8. Grilli, 2011, Textile wastewater treatment in a bench-scale anaerobic-biofilm anoxic-aerobic membrane bioreactor combined with nanofiltration, J. Environ. Sci. Health., Part A, 46, 1512, 10.1080/10978526.2011.609078 · DOI
  9. Gündoğdu, 2019, Effect of concentrate recirculation on the product water quality of integrated MBR – NF process for wastewater reclamation and industrial reuse, J. Water Process Eng., 29, 100485, 10.1016/j.jwpe.2017.08.023 · DOI
  10. He, 2013, Application of integrated ozone biological aerated filters and membrane filtration in water reuse of textile effluents, Bioresour. Technol., 133, 150, 10.1016/j.biortech.2013.01.074 · DOI
  11. Holkar, 2016, A critical review on textile wastewater treatments: possible approaches, J. Environ. Manag., 182, 351
  12. Jegatheesan, 2016, Treatment of textile wastewater with membrane bioreactor: a critical review, Bioresour. Technol., 204, 202, 10.1016/j.biortech.2016.01.006 · DOI
  13. Kappel, 2014, Impacts of NF concentrate recirculation on membrane performance in an integrated MBR and NF membrane process for wastewater treatment, J. Membr. Sci., 453, 359, 10.1016/j.memsci.2013.11.023 · DOI
  14. Kappel, 2013, Electrochemical phosphate recovery from nanofiltration concentrates, Separ. Purif. Technol., 120, 437, 10.1016/j.seppur.2013.10.022 · DOI
  15. Li, 2016, Effects of returning NF concentrate on the MBR-NF process treating antibiotic production wastewater, Environ. Sci. Pollut. Res., 23, 13114, 10.1007/s11356-016-6467-x · DOI
  16. Li, 2015, The color removal and fate of organic pollutants in a pilot-scale MBR-NF combined process treating textile wastewater with high water recovery, Water Sci. Technol., 73, 1426, 10.2166/wst.2015.623 · DOI
  17. Li, 2016, Advanced treatment of municipal wastewater by nanofiltration: operational optimization and membrane fouling analysis, J. Environ. Sci. (China), 43, 106, 10.1016/j.jes.2015.09.007 · DOI
  18. Liang, 2014, Treatment of highly concentrated wastewater containing multiple synthetic dyes by a combined process of coagulation/flocculation and nanofiltration, J. Membr. Sci., 469, 306, 10.1016/j.memsci.2014.06.057 · DOI
  19. Lowry, 1951, Protein measurement with the Folin phenol reagent, J. Biol. Chem., 193, 265, 10.1016/S0021-9258(19)52451-6 · DOI
  20. Lu, 2010, Textile wastewater reuse as an alternative water source for dyeing and finishing processes: a case study, Desalination, 258, 229, 10.1016/j.desal.2010.04.002 · DOI
  21. Nadeem, 2019, Investigation of segregated wastewater streams reusability with membrane process for textile industry, J. Clean. Prod., 228, 1437, 10.1016/j.jclepro.2019.04.205 · DOI
  22. Neoh, 2016, Green technology in wastewater treatment technologies: integration of membrane bioreactor with various wastewater treatment systems, Chem. Eng. J., 283, 582, 10.1016/j.cej.2015.07.060 · DOI
  23. Sahinkaya, 2019, Performance of a pilot-scale reverse osmosis process for water recovery from biologically-treated textile wastewater, J. Environ. Manag., 249, 109382
  24. Siddique, 2017, Textile wastewater treatment options: a critical review, 183
  25. Solmaz, 2006, Colour and COD removal from textile effluent by coagulation and advanced oxidation processes, Color. Technol., 122, 102, 10.1111/j.1478-4408.2006.00016.x · DOI
  26. Tomasini, 2019, Concentrate management for integrated MBR-RO process for wastewater reclamation and reuse-preliminary tests, J. Water Process Eng., 29, 100455, 10.1016/j.jwpe.2017.07.020 · DOI
  27. Üstün, 2007, Regeneration of industrial district wastewater using a combination of Fenton process and ion exchange—a case study, Resour. Conserv. Recycl., 52, 425, 10.1016/j.resconrec.2007.05.006 · DOI
  28. Wang, 2015, Performance and fate of organics in a pilot MBR-NF for treating antibiotic production wastewater with recycling NF concentrate, Chemosphere, 121, 92, 10.1016/j.chemosphere.2014.11.034 · DOI
  29. Wang, 2013, Blue and grey water footprint of textile industry in China, Water Sci. Technol., 68, 2485, 10.2166/wst.2013.532 · DOI
  30. Woo, 2016, Effect of powdered activated carbon on integrated submerged membrane bioreactor-nanofiltration process for wastewater reclamation, Bioresour. Technol., 210, 18, 10.1016/j.biortech.2016.02.023 · DOI
  31. Xie, 2016, Membrane-based processes for wastewater nutrient recovery: technology, challenges, and future direction, Water Res., 89, 210, 10.1016/j.watres.2015.11.045 · DOI
  32. Yaman, 2015, Anaerobic treatment of ozonated membrane concentrate, Desalin. Water Treat., 54, 2075, 10.1080/19443994.2014.933624 · DOI
  33. Yukseler, 2017, Analysis of the best available techniques for wastewaters from a denim manufacturing textile mill, J. Environ. Manag., 203, 1118
  34. Zhang, 2016, Sludge bio-drying: effective to reduce both antibiotic resistance genes and mobile genetic elements, Water Res., 106, 62, 10.1016/j.watres.2016.09.055 · DOI

Metadata

Authors
Li, K., Liu, Q., Fang, F., Wu, X., Xin, J., Sun, S., Wei, Y., Ruan, R., Chen, P., Wang, Y., & Addy, M.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2020-07
Volume
261
Pages
121067
ISSN
0959-6526
Cited by
62
References
0
Language
en
Funders
  • National Natural Science Foundation of China (51768043)
  • China Postdoctoral Science Foundation (2017M622106)
  • Youth Science Foundation of Jiangxi Province (20171BAB216037)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review