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Cited by 272

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Grey water characterisation and its impact on the selection and operation of technologies for urban reuse

Open access
Jefferson, B, Palmer, A., Jeffrey, P., Stuetz, R., Judd, S.·2004·Water Science and Technology

Abstract

Characterisation of grey water reveals a source water that is similar in organic strength to a low-medium strength municipal sewage influent but with physical and biodegradability characteristics similar to a tertiary treated effluent. The characteristics of the water suggest biological processes are the most suitable unit processes for treating grey water. The highly variable nature of the source requires that selected technologies must be inherently robust in their operation. One potential area of concern is the high COD/BOD ratio and nutrient deficiency in terms of both macro and micro nutrients which grey water exhibits potentially retard the efficacy of biological processes.

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Crossref · 10.2166/wst.2004.0113

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Metadata

Authors
Jefferson, B., Palmer, A., Jeffrey, P., Stuetz, R., & Judd, S.
Venue
Water Science and Technology
Published
2004-07-01
Volume
50
Issue
2
Pages
157-164
ISSN
  • 0273-1223 (ISSN-L)
  • 1996-9732
OpenAlex
W2341985084
Cited by
272
References
1
FWCI
16.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Grey water characterisation and its impact on the selection and operation of technologies for urban reuse. https://app.cochat.ai/papers/10.2166/wst.2004.0113
The paper
Jefferson, B., Palmer, A., Jeffrey, P., Stuetz, R., & Judd, S. (2004). Grey water characterisation and its impact on the selection and operation of technologies for urban reuse. Water Science and Technology. https://doi.org/10.2166/wst.2004.0113

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.