• Researchers uncover new water monitoring

    From ScienceDaily@1:317/3 to All on Mon Feb 27 21:30:28 2023
    Researchers uncover new water monitoring technique
    New method simultaneously monitors clumps and the mixing intensity in a
    single step

    Date:
    February 27, 2023
    Source:
    Texas A&M University
    Summary:
    The new method simultaneously monitors the size and shape of the
    clumps and the mixing intensity in a single step, in real time,
    allowing for more accurate measurements. The value of the research
    lies in the fact that mixing is one of the most energy-consuming
    processes during water and wastewater purification.


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    FULL STORY ========================================================================== Water is a vital resource, and clean water is a necessity. Texas A&M
    University researchers have developed a new technique to monitor one of
    the key processes of purifying water in real time.


    ==========================================================================
    Raw water contains microscopic pathogens that are too small to remove
    during water and wastewater treatment easily. Chemicals are added to form
    large clumps called flocs, which are easily filtered out. Flocculation
    is the process used in water treatment to remove suspended particles
    from the water.

    "Coagulant chemicals need to be added to purify drinking water and
    remove turbidity (cloudiness) and microbes that are too small to be
    visible to the naked eye," said Dr. Kuang-An Chang, professor in the
    Zachry Department of Civil and Environmental Engineering at Texas A&M.

    But it is crucial to properly mix the water and chemicals so the pathogens properly clump. If mixing is low, clumps won't form. If mixing is too
    intense, clumps will form but quickly break apart.

    The new method simultaneously monitors the size and shape of the clumps
    and the mixing intensity in a single step, in real time, allowing for
    more accurate measurements. The value of the research lies in the fact
    that mixing is one of the most energy-consuming processes during water
    and wastewater purification.

    The results of this study were recently published in the journal ACS
    ES&T Engineering and featured on the cover of its February issue.

    "We developed a brand-new technique to non-intrusively monitor the mixing
    so that we can precisely control it, quantify heterogeneities within
    the reactor and potentially optimize it to create flocs of desired characteristics while simultaneously minimizing energy consumption,"
    he said.

    This first-of-its-kind technique can be used to improve flocculation,
    meaning successfully removing contaminants by growing large enough clumps
    while minimizing the energy used.

    "All previous research did this in two steps," Chang said. "In the old approach, first, artificial particles of known characteristics would be
    added to monitor mixing. Then, a second experiment would be done with 'identical' settings and the actual clumps would be monitored.

    "We essentially halved the workload and improved precision because there
    are always statistical differences any time you do two experiments."
    This interdisciplinary project was a collaboration between Chang, who
    focuses on fluid dynamics, and Dr. Shankar Chellam, professor of civil
    and environmental engineering and A.P. and Florence Wiley Professor III,
    who focuses on water/wastewater treatment.

    Three graduate students performed the experimental work and associated numerical analysis: Kaleisha Miller, Kyungho Kim and Wei-Liang Chuang,
    who is now an assistant professor at National Sun Yat-sen University
    in Taiwan.

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    ========================================================================== Story Source: Materials provided by Texas_A&M_University. Original
    written by Alyson Chapman.

    Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Kaleisha Miller, Wei-Liang Chuang, Kyungho Kim, Kuang-An Chang,
    Shankararaman Chellam. Simultaneous In Situ Characterization of
    Turbulent Flocculation and Reactor Mixing Using Image Analysis
    and Particle Image Velocimetry in Unison. ACS ES&T Engineering,
    2022; 3 (2): 295 DOI: 10.1021/acsestengg.2c00348 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2023/02/230227161344.htm

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