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The modelling of odour dispersion as a support tool for the improvements of high odours impact plants

Overview of attention for article published in Environmental Technology, July 2016
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Article details
Title
The modelling of odour dispersion as a support tool for the improvements of high odours impact plants
Published in
Environmental Technology, July 2016
DOI 10.1080/09593330.2016.1205146
Pubmed ID
Authors
Abstract

Two different scenarios in terms of odour impact assessment were studied during the phase of upgrading of an existing waste treatment plant: CALPUFF model was used for the simulation of odour dispersion. Olfactometric measures, carried out over different periods and different positions in the plant, were used for model calibration. Results from simulations were reported in terms of statistics of odour concentrations (maximum values and 98(th) percentile) and isopleths maps of the 98(th) percentile of the hourly peak concentrations, as requested from the European legislation and standards. The excess perception thresholds and emissions were utilized to address the plant upgrade options. The hourly evaluation of odours was performed to determine the most impacting period of the day. In analogy with the contaminated sites issues and related risk analysis approach, an inverse application of the numerical simulation starting from defining the odour threshold at the receptor was made to allow the definition of the required abatement efficiency at the odours source location. Results from the proposed approach confirmed the likelihood to adopt odour dispersion modeling, not only in the authorization phase, but as a tool for driving technical and managing actions in plant upgrade so to reduce impacts and improve the public acceptance. The upgrade actions in order to achieve the expected efficiency are reported as well.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Doctoral Student 2 8%
Professor 2 8%
Student > Master 2 8%
Other 1 4%
Other 2 8%
Unknown 12 46%
Readers by discipline
Readers by discipline Count As %
Environmental Science 6 23%
Engineering 3 12%
Nursing and Health Professions 1 4%
Earth and Planetary Sciences 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 13 50%
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 15 July 2016.
All research outputs
#18,465,988
of 22,880,691 outputs
Outputs from Environmental Technology
#1,155
of 2,422 outputs
Outputs of similar age
#271,729
of 355,133 outputs
Outputs of similar age from Environmental Technology
#9
of 19 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,422 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 10th percentile – i.e., 10% 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 355,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.