%0 Journal Article %T Limitations of FIDOL Factors for Odour Impact Assessment: Potential Ways of Improvements %+ Laboratoire des Sciences des Risques (LSR) %A Guillot, Jean-Michel %A Trousset, Francois %A Daclin, Nicolas %Z Issu de : NOSE2022, 8th International Conference on ENVIRONMENTAL ODOUR MONITORING & CONTROL, 11-14 September Taormina %< avec comité de lecture %@ 2283-9216 %J Chemical Engineering Transactions %I AIDIC %S ISBN 978-88-95608-94-5 %V 95 %P 163-168 %8 2022-10 %D 2022 %R 10.3303/CET2295028 %Z Engineering Sciences [physics]Journal articles %X FIDOL factors that represent five dimensions (Frequency, Intensity, Duration, Offensiveness and Location) aretools for odour impact assessment. If the four factors (F, I, D, O) are clearly identified parameters, the fifth one(L) can be interpreted in different ways. Some recent communications are based on FIDOR (R as Receptor) orFIDOS (S as Sensitivity) to integrate larger impact than only the location (L). For location, the perception is notthe same at work place or in a residential area, but the difference also depends on the considered period(workday, weekend or holidays) and also on sensitivity caused by tiredness or on any other “aggressive”perception (noise, very bad weather...). Therefore, two approaches are eligible: adding new dimensions (Rand/or S) to obtain six/seven factors or considering the fifth one (L) as a multidimensional factor (LRS). Allfactors describe a characteristic of odour impact and for each of them; a scale has to be defined to give a valuerepresenting/describing its impact. Thus, what is the more acceptable and representative scale for each factor?After such a choice, the potential weight of each factor on the global perception is also a real question?Global odour perception is, in fact, subjective due to the interpretation of perceived smells in a context.Therefore, factors must integrate the subjectivity for all dimensions they represent. That means it could beinteresting to keep the subjective feeling avoiding interference by objective external quantitative measurementlike chemical or physical sensors (for example estimating exposure time or intensity based on pollution detectionby sensors). %G English %L hal-03820035 %U https://imt-mines-ales.hal.science/hal-03820035 %~ INSTITUT-TELECOM %~ EM-ALES %~ INSTITUTS-TELECOM