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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