Estimating inputs for dispersion modeling in mobile platform applications.

Bead thermistor Heat flux Manure lagoons Methane emissions Micrometeorology Mobile monitoring Temperature fluctuations

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Jul 2023
Historique:
received: 05 09 2022
revised: 31 03 2023
accepted: 01 04 2023
medline: 9 4 2023
pubmed: 9 4 2023
entrez: 8 4 2023
Statut: ppublish

Résumé

Mobile monitoring platforms (MMP) are popular in air quality studies. One application of MMP is in estimating pollutant emissions from area sources. The MMP is used to measure concentrations of the relevant species at several locations around the area source, while the associated meteorological information is measured at the same time. Emissions from the area source are inferred by fitting the measured concentrations to estimates from dispersion models. These models require meteorological inputs, such as the kinematic heat flux and the surface friction velocity, that are best computed with measurements of time resolved velocity and temperature made with 3-D sonic anemometers. Because the setting up and dismantling of a 3-D sonic anemometer is not compatible with the necessary mobility of the MMP, it is useful to use alternative instrumentation and methods that provide accurate estimates of these inputs. In this study, we demonstrate such a method based on measurements of horizontal wind speed and temperature fluctuations at a single height. The method was evaluated by comparing methane emissions from a dairy manure lagoon inferred from a dispersion model that uses modeled meteorological inputs to those inferred from measurements with 3-D sonic anemometers. The emission estimates from the modeled meteorological inputs were close to those based on measurements made with 3-D sonic anemometers. We then demonstrate how this approach can be adapted for mobile platform applications by showing that winds measured using a 2-D sonic anemometer and temperature fluctuations measured with a bead thermistor, which can all be carried or mounted on a MMP, yields results that are close to those from a 3-D sonic anemometer.

Identifiants

pubmed: 37030379
pii: S0048-9697(23)01925-3
doi: 10.1016/j.scitotenv.2023.163306
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163306

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Akula Venkatram reports financial support was provided by UC National Laboratory Fees Research Program and California Department of Transport (Caltrans). Francesca Hopkins reports financial support was provided by UC National Laboratory Fees Research Program.

Auteurs

Ranga Rajan Thiruvenkatachari (RR)

Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA. Electronic address: rthir001@ucr.edu.

Yifan Ding (Y)

Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA.

Javier González-Rocha (J)

Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA.

Valerie Carranza (V)

Department of Environmental Sciences, University of California, Riverside, CA 92521, USA.

Nidia Rojas Robles (N)

Department of Environmental Sciences, University of California, Riverside, CA 92521, USA.

Francesca Hopkins (F)

Department of Environmental Sciences, University of California, Riverside, CA 92521, USA.

Akula Venkatram (A)

Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA.

Classifications MeSH