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Search Results (4)

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Keywords = LAPMOD

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48 pages, 6370 KB  
Article
A Comparison of CALPUFF and LAPMOD Against the Project Sagebrush Datasets
by Roberto Bellasio, Roberto Bianconi and Paolo Zannetti
Atmosphere 2025, 16(6), 671; https://doi.org/10.3390/atmos16060671 - 1 Jun 2025
Cited by 4 | Viewed by 1946
Abstract
This paper presents the validation of CALPUFF and LAPMOD against the short-range and high time resolution tracer study dataset of Project Sagebrush (PSB). The meteorological fields for both models are prepared with the CALMET diagnostic model starting from the exhaustive meteorological data collected [...] Read more.
This paper presents the validation of CALPUFF and LAPMOD against the short-range and high time resolution tracer study dataset of Project Sagebrush (PSB). The meteorological fields for both models are prepared with the CALMET diagnostic model starting from the exhaustive meteorological data collected during PSB. The PSB releases were undertaken under different meteorological and turbulence conditions. The validation results—judged by means of several statistical parameters—indicate that the models are generally in satisfactory agreement with the observations, sometimes even when time- and space-paired data are considered. However, in four simulations carried out under low wind and very stable conditions, the model performances are poor. This may be due to the inability of CALMET to reproduce the vertical wind direction variations in a shallow layer close to the ground, but also to inappropriate turbulence dispersion algorithms in the dispersion models. This issue will be further investigated in future work. Full article
(This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling)
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21 pages, 5184 KB  
Article
Analysis of the Odor Levels at the Closest Receptors Depending on the Stack Terminal Types
by Roberto Bellasio and Roberto Bianconi
Atmosphere 2025, 16(2), 169; https://doi.org/10.3390/atmos16020169 - 2 Feb 2025
Cited by 4 | Viewed by 1842
Abstract
This paper presents the results of a numerical analysis for evaluating the effects of different stack terminal configurations on the odor levels estimated at the receptors located close to the plant. Stack terminals may be of different types, for example vertical unobstructed, vertical [...] Read more.
This paper presents the results of a numerical analysis for evaluating the effects of different stack terminal configurations on the odor levels estimated at the receptors located close to the plant. Stack terminals may be of different types, for example vertical unobstructed, vertical with rain cap, horizontal, gooseneck or with any slope with respect to the vertical. The comparison between CALPUFF and LAPMOD with vertical unobstructed stacks, rain capped stacks and different emission temperatures shows that the results are comparable, even though there is a tendency of LAPMOD to underpredict when vertical unobstructed stacks are used. A detailed numerical analysis has then been performed with the LAPMOD dispersion model, which adopts a numerical plume rise scheme capable to simulate releases with any orientation. Two different sites have been considered, both located in northern Italy: one with almost flat orography, and one with relatively complex orography. The results show that the choice of the stack terminal has important effects on the odor levels predicted at the closest receptors. The vertical unobstructed stack always has a smaller impact than all the other terminal types, particularly for low emission temperatures. Full article
(This article belongs to the Section Air Quality)
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26 pages, 34698 KB  
Article
A Heuristic Method for Modeling Odor Emissions from Open Roof Rectangular Tanks
by Roberto Bellasio and Roberto Bianconi
Atmosphere 2022, 13(3), 367; https://doi.org/10.3390/atmos13030367 - 22 Feb 2022
Cited by 5 | Viewed by 2956
Abstract
This paper presents heuristic equations for estimating odor emissions from open-roof rectangular tanks as a function of the tank orientation, wind direction, wind speed and distance of the emitting surface from the tank top. These types of equations are important because they may [...] Read more.
This paper presents heuristic equations for estimating odor emissions from open-roof rectangular tanks as a function of the tank orientation, wind direction, wind speed and distance of the emitting surface from the tank top. These types of equations are important because they may help to improve emission calculations to avoid overestimations, which are damaging to the plant owner, and underestimations, which are negative for the population around the plant. Odor emissions were determined for four tanks with the same area, different shape factors and two different orientations and then used as inputs for a dispersion model in order to calculate separation distances and evaluate their differences. The results show that different separation distances were obtained depending on the tank orientation, shape factor and level of filling. Future field applications to verify and improve the proposed equations are desirable. If the effect of the tank orientation on odor emission is proven, the design of future industrial plants containing open-roof rectangular tanks should consider the results of detailed wind data analysis. Full article
(This article belongs to the Special Issue Feature Papers in Atmosphere Science)
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23 pages, 6119 KB  
Article
Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets
by Roberto Bellasio, Roberto Bianconi, Sonia Mosca and Paolo Zannetti
Atmosphere 2018, 9(10), 404; https://doi.org/10.3390/atmos9100404 - 16 Oct 2018
Cited by 20 | Viewed by 6143
Abstract
This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part [...] Read more.
This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part of the widely used CALPUFF modeling system. LAPMOD can also use the meteorological input files produced with the AERMET meteorological processor of the US-EPA recommended model AERMOD. This paper outlines the theory behind the two plume rise algorithms and the details of their implementation in LAPMOD. The paper also provides the results of the evaluation of LAPMOD and its included plume rise algorithms against the well-known Indianapolis and Kincaid SF6 and SO2 field studies and tracer experiments. The performance of LAPMOD is successfully evaluated with the Model Evaluation Kit and compared with that of other air quality models. Full article
(This article belongs to the Section Air Quality)
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