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Improved sulfide mitigation in sewers through on-line control of ferrous salt dosing

Overview of attention for article published in Water Research, February 2018
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Title
Improved sulfide mitigation in sewers through on-line control of ferrous salt dosing
Published in
Water Research, February 2018
DOI 10.1016/j.watres.2018.02.022
Pubmed ID
Authors

Ramon Ganigué, Guangming Jiang, Yiqi Liu, Keshab Sharma, Yue-Cong Wang, José Gonzalez, Tung Nguyen, Zhiguo Yuan

Abstract

Water utilities worldwide spend annually billions of dollars to control sulfide-induced corrosion in sewers. Iron salts chemically oxidize and/or precipitate dissolved sulfide in sewage and are especially used in medium- and large-size sewers. Iron salt dosing rates are defined ad hoc, ignoring variation in sewage flows and sulfide levels. This often results in iron overdosing or poor sulfide control. Online dosing control can adjust the chemical dosing rates to current (and future) state of the sewer system, allowing high-precision, stable and cost-effective sulfide control. In this paper, we report a novel and robust online control strategy for the dosing of ferrous salt in sewers. The control considers the fluctuation of sewage flow, pH, sulfide levels and also the perturbation from rainfall. Sulfide production in the pipe is predicted using auto-regressive models (AR) based on current flow measurements, which in turn can be used to determine the dose of ferrous salt required for cost-effective sulfide control. Following comprehensive model-based assesment, the control was successfully validated and its effectiveness demonstrated in a 3-week field trial. The online control algorithm controlled sulfide below the target level (0.5 mg S/L) while reducing chemical dosing up to 30%.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Student > Bachelor 5 9%
Student > Master 4 7%
Researcher 3 5%
Student > Postgraduate 2 3%
Other 6 10%
Unknown 26 45%
Readers by discipline Count As %
Engineering 10 17%
Environmental Science 7 12%
Chemical Engineering 4 7%
Unspecified 2 3%
Agricultural and Biological Sciences 2 3%
Other 5 9%
Unknown 28 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Water Research
#7,639
of 11,877 outputs
Outputs of similar age
#330,024
of 455,271 outputs
Outputs of similar age from Water Research
#164
of 217 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,877 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 455,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.