TY - JOUR
T1 - A simple model to assess odour hours for regulatory purposes
AU - Oettl, Dietmar
AU - Ferrero, Enrico
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - A novel methodology for estimating odour hours in the frame of licencing procedures is presented. In contrast to the widely used constant-factor-4 model, which is the prescribed method in Germany, a model based on computing concentration variances is proposed. It is derived upon the advection-diffusion equation for the concentration variance, but is strongly simplified by neglecting the transport and diffusion terms. In this way, the method becomes extremely efficient with regard to computation times. Furthermore, the model is independent on the type of dispersion model used to calculate average concentrations, which are necessary for subsequently computing concentration variances. In a second step, simulated concentration variances are used in combination with a slightly modified two-parameter Weibull probability density function to get the 90thpercentile of the cumulative frequency distribution of odour-concentration fluctuations, which is required for computing a so-called odour hour. The model is operated in post-processing mode and can, thus, easily be implemented in existing dispersion models. It's validity has been tested against two tracer tests carried out in Germany and the U.S.
AB - A novel methodology for estimating odour hours in the frame of licencing procedures is presented. In contrast to the widely used constant-factor-4 model, which is the prescribed method in Germany, a model based on computing concentration variances is proposed. It is derived upon the advection-diffusion equation for the concentration variance, but is strongly simplified by neglecting the transport and diffusion terms. In this way, the method becomes extremely efficient with regard to computation times. Furthermore, the model is independent on the type of dispersion model used to calculate average concentrations, which are necessary for subsequently computing concentration variances. In a second step, simulated concentration variances are used in combination with a slightly modified two-parameter Weibull probability density function to get the 90thpercentile of the cumulative frequency distribution of odour-concentration fluctuations, which is required for computing a so-called odour hour. The model is operated in post-processing mode and can, thus, easily be implemented in existing dispersion models. It's validity has been tested against two tracer tests carried out in Germany and the U.S.
KW - Concentration-fluctuation intensity
KW - Concentration-variance model
KW - GRAL
KW - Odour-hour modelling
UR - http://www.scopus.com/inward/record.url?scp=85013633934&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2017.02.022
DO - 10.1016/j.atmosenv.2017.02.022
M3 - Article
SN - 1352-2310
VL - 155
SP - 162
EP - 173
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -