2020
DOI: 10.1016/j.aeaoa.2020.100076
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Performance evaluation of approaches to predict sub-hourly peak odour concentrations

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Cited by 14 publications
(14 citation statements)
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“…According to the FAC2 value, 86 % of simulated values were within a factor of two of the measured values. A negative value of FB indicates model overestimation whereas RMSE and NMSE do not account for over or underestimation but their ideal value is zero (Brancher et al, 2020). Note that the metric results shown are dimensionless because CDF is a non-dimensional quantity.…”
Section: Model Testing and Resultsmentioning
confidence: 99%
“…According to the FAC2 value, 86 % of simulated values were within a factor of two of the measured values. A negative value of FB indicates model overestimation whereas RMSE and NMSE do not account for over or underestimation but their ideal value is zero (Brancher et al, 2020). Note that the metric results shown are dimensionless because CDF is a non-dimensional quantity.…”
Section: Model Testing and Resultsmentioning
confidence: 99%
“…There are two reasons for this: one is that these approaches are generally more complex than canonical dispersion models; the other, which is probably the most important, is that there are today very few legislative constraints that would make mandatory the adoption of such models. For example, in recent years, different attempts have been made to include prescriptions for odour thresholds that lead to the development of operational models for the estimate of odour concentration (Brancher et al 2020). As evidenced in Brancher et al (2017), however, these prescriptions vary significantly from one country to another, and even between different regions of the same country.…”
Section: Discussionmentioning
confidence: 99%
“…For example, in recent years, different attempts have been made to include prescriptions for odour thresholds that lead to the development of operational models for the estimate of odour concentration (Brancher et al. 2020 ). As evidenced in Brancher et al.…”
Section: Discussionmentioning
confidence: 99%
“…A new approach to calculating the short-term odour concentration based on one-hour mean values is used beside the two other methods. The "concentration variance" method [41] was implemented in the Lagrangian dispersion models GRAL and LASAT [42,43]. A critical review of the three methods can be found in Brancher et al (2020) [42].…”
Section: Annoyance Potential Exceedance Probability P T (%) Exceedance Probability P T (%)mentioning
confidence: 99%
“…The "concentration variance" method [41] was implemented in the Lagrangian dispersion models GRAL and LASAT [42,43]. A critical review of the three methods can be found in Brancher et al (2020) [42].…”
Section: Annoyance Potential Exceedance Probability P T (%) Exceedance Probability P T (%)mentioning
confidence: 99%