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    Grey water characterization and treatment for reuse in an arid environment

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    Type
    Article
    Authors
    Smith, E.
    Bani-Melhem, K.
    KAUST Grant Number
    UK-C0015
    Date
    2012-06-08
    Online Publication Date
    2012-06-08
    Print Publication Date
    2012-07
    Permanent link to this record
    http://hdl.handle.net/10754/598433
    
    Metadata
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    Abstract
    Grey water from a university facilities building in Cairo, Egypt was analysed for basic wastewater parameters. Mean concentrations were calculated based on grab samples over a 16-month period. Values for chemical oxygen demand (COD) and nutrients exceeded values reported in a number of other studies of grey water, while coliform counts were also high. A submerged membrane bioreactor (SMBR) system using a hollow fibre ultrafiltration membrane was used to treat the grey water with the aim of producing effluent that meets reuse guidelines for agriculture. A test run for 50 days at constant transmembrane pressure resulted in very good removal for key parameters including COD, total suspended solids (TSS), colour, turbidity, ammonia nitrogen, anionic surfactants, and coliform bacteria. High standard deviations were observed for COD and coliform concentrations for both monthly grab samples and influent values from the 50-day SMBR experiment. SMBR effluent meets international and local guidelines for at least restricted irrigation, particularly as pertains to COD, TSS, and faecal coliforms which were reduced to mean treated values of 50 mg/L, 0 mg/L (i.e., not detected), and <50 cfu/100 mL, respectively. © IWA Publishing 2012.
    Citation
    Smith E, Bani-Melhem K (2012) Grey water characterization and treatment for reuse in an arid environment. Water Science & Technology 66: 72. Available: http://dx.doi.org/10.2166/wst.2012.167.
    Sponsors
    This publication is based on work supported by Award No. UK-C0015, made by King Abdullah University of Science and Technology (KAUST).
    Publisher
    IWA Publishing
    Journal
    Water Science and Technology
    DOI
    10.2166/wst.2012.167
    PubMed ID
    22678202
    ae974a485f413a2113503eed53cd6c53
    10.2166/wst.2012.167
    Scopus Count
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