Data Envelopment Analysis (DEA) for assessment of Cryptosporidium and Giardia removal by membrane processes

Gideon Oron, Amos Bick, Leonid Gillerman, Yossi Manor

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Field data from several research sites related to effluent quality; surface water and back-washed membrane filtrate enables to provide performance estimates efficiencies. The estimates are based on the Data Envelopment Analysis (DEA) method. The exploration focused on individual Ultra-Filtration (UF) and MicroFiltration (MF) experiments allowing determining the membrane performance efficiency in terms of Cryptosporidium and Giardia removal by membrane processes. DEA is an empirically based methodology and the research approach has been found to be effective in the depiction and analysis of complex systems efficiency, where a large number of mutual interacting variables are involved.

    Original languageEnglish
    Title of host publicationProceedings of the 2004 World Water and Environmetal Resources Congress
    Subtitle of host publicationCritical Transitions in Water and Environmental Resources Management
    EditorsG. Sehlke, D.F. Hayes, D.K. Stevens
    Pages3257-3265
    Number of pages9
    StatePublished - 1 Dec 2004
    Event2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management - Salt Lake City, UT, United States
    Duration: 27 Jun 20041 Jul 2004

    Publication series

    NameProceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management

    Conference

    Conference2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management
    Country/TerritoryUnited States
    CitySalt Lake City, UT
    Period27/06/041/07/04

    Keywords

    • Data Envelopment Analysis (DEA)
    • Effluent
    • Membrane Performance
    • Micro-Filtration
    • Optimization
    • Pathogen Removal
    • Ultra-Filtration

    ASJC Scopus subject areas

    • General Engineering

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