Development and Evaluation of a Fluctuating Plume Model for Odor Impact Assessment

Applied Sciences

Federica Capra¹  Laura Capelli¹  Selena Sironi¹  Marzio Invernizzi¹  Roberto Sozzi² 

[1] Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy;Independent Researcher, 20133 Milan, Italy;

关键词: odor impact assessment;    dispersion modelling;    peak-to-mean;    concentration fluctuation;    fluctuating plume model;   

DOI  :  10.3390/app11083310

来源: DOAJ

【 摘 要 】

For environmental odor nuisance, it is extremely important to identify the instantaneous concentration statistics. In this work, a Fluctuating Plume Model for different statistical moments is proposed. It provides data in terms of mean concentrations, variance, and intensity of concentration. The 90th percentile peak-to-mean factor, R₉₀, was tested here by comparing it with the experimental results (Uttenweiler field experiment), considering different Probability Distribution Functions (PDFs): Gamma and the Modified Weibull. Seventy-two percent of the simulated mean concentration values fell within a factor 2 compared to the experimental ones: the model was judged acceptable. Both the modelled results for standard deviation, σ_C, and concentration intensity, I_c, overestimate the experimental data. This evidence can be due to the non-ideality of the measurement system. The propagation of those errors to the estimation of R₉₀ is complex, but the ranges covered are quite repeatable: the obtained values are 1–3 for the Gamma, 1.5–4 for Modified Weibull PDF, and experimental ones from 1.4 to 3.6.

【 授权许可】

Unknown