PSCF and CWT methods as a tool to identify potential sources of 7Be and 210Pb aerosols in Granada, Spain

Berriban, I.; Azahra, M.; Chham, E.; Ferro-Garcı́a, M.A.; Milena-Pérez, A.; Nouayti, Abdelhamid; Orza, J.A.G.; Brattich, Erika; Tositti, Laura; Piñero-García, F.; Bardouni, T. El; Ziani, H.; Yaakoubi, H. El; Barbari, M. El

doi:10.1016/j.jenvrad.2022.106977

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…The accuracy of the point source location apportionments of concentration field-based models, such as CFA, CWT, and SQTBA, can diminish when the emissions from nonpoint sources are significant [32]. To emphasize the emission impacts from the point source, the PSCF model utilizes only high pollutant concentrations from the receptor sites to calculate conditional probabilities to identify the likely source contribution of each grid to the receptor site [3,6].…”

Section: Pscfmentioning

confidence: 99%

Overview of the Trajectory-Ensemble Potential Source Apportionment Web (TraPSA-Web) Toolkit for Atmospheric Pollutant Source Identification

Zhou,

Hopke

et al. 2024

Atmosphere

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Trajectory ensemble receptor models (TERMs) were widely used to determine the likely source locations and apportionment of air pollutants. This paper describes the development and applications of the Trajectory-ensemble Potential Source Apportionment Web application (TraPSA-Web), a comprehensive toolkit for likely atmospheric pollutant source location apportionments using TERMs and back trajectories generated with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The TERMs integrated within the TraPSA-web include Concentration Field Analysis (CFA), Concentration Weighted Trajectory (CWT), single-site and multiple-site Potential Source Contribution Function (PSCF), and Simplified Quantitative Transport Bias Analysis (SQBA). TraPSA-Web is designed as a web application with a user-friendly modern graphical user interface (GUI), which largely enhances the accessibility to the users. TraPSA-Web will provide the air quality research community with a sophisticated toolkit for (1) easy management of the research project and datasets, (2) efficient automatization for HYSPLIT configurations, calculations, and result aggregations, (3) flexible configurations for the research scenarios and TERM parameters, and (4) interactive visualizations for the pollutant pattern analysis and TERM result mapping.

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Section: Pscfmentioning

confidence: 99%