FUME 2.0 – Flexible Universal processor for Modeling Emissions

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(9), P. 3867 - 3878

Published: May 15, 2024

Abstract. This paper introduces FUME 2.0, an open-source emission processor for air quality modeling, and documents the software structure, capabilities, sample usage. provides a customizable framework preparation tailored to user needs. It is designed work with heterogeneous inventory data, unify them into common generate model-ready emissions various chemical transport models (CTMs). Key features include flexibility in input data formats, support spatial temporal disaggregation, speciation, integration of external like MEGAN. employs modular Python interface PostgreSQL/PostGIS backend efficient handling. The workflow comprises import, geographical transformation, output generation steps. Outputs mesoscale CTMs CMAQ, CAMx, WRF-Chem large-eddy-simulation model PALM are implemented along generic NetCDF format. Benchmark runs discussed on typical configuration cascading domains, import preprocessing times scaling near-linearly grid size. facilitates modeling from continental regional urban scales by enabling effective processing diverse datasets.

Language: Английский

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Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(7), P. 4347 - 4387

Published: April 15, 2024

Abstract. Fine particulate matter (PM2.5) is among the air pollutants representing most critical threat to human health in Europe. For designing strategies mitigate this kind of pollution, it essential identify and quantify sources its components. Here, we utilized regional chemistry transport model CAMx (Comprehensive Air Quality Model with Extensions) investigate relationships between emissions from different categories concentrations PM2.5 secondary components over Central Europe during period 2018–2019, both terms contributions emission calculated by particle source apportionment technology (PSAT) impacts complete removal individual (i.e., zero-out method). During winter seasons, other stationary combustion (including residential combustion) were main contributor domain-wide average concentration (3.2 µg m−3), their also had considerable impact on (3.4 m−3). summer was contributed biogenic (0.57 while removing agriculture–livestock substantial (0.46 The notable differences for associated agriculture–livestock, mainly due nitrate concentrations, which reached up 4.5 1.25 m−3 respectively. We performed a sensitivity test mentioned two modules organic aerosol formation (SOAP VBS), showed (in winter) road summer).

Language: Английский

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Ambient coarse particulate matter pollution and hospital admissions for schizophrenia

Schizophrenia Research, Journal Year: 2025, Volume and Issue: 276, P. 79 - 87

Published: Jan. 24, 2025

Language: Английский

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Validation of multi-model decadal simulations of present-day central European air-quality

Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121077 - 121077

Published: Feb. 1, 2025

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Exposure patterns of PM2.5 and CO concentrations in residential and commercial buildings: factors influencing indoor air quality

Air Quality Atmosphere & Health, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Language: Английский

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The long-term impact of biogenic volatile organic compound emissions on urban ozone patterns over central Europe: contributions from urban and rural vegetation

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(23), P. 13541 - 13569

Published: Dec. 10, 2024

Abstract. The paper evaluates the long-term (2007–2016) impact of biogenic volatile organic compound (BVOC) emissions on urban ozone patterns over central Europe, specifically focusing contribution vegetation using a regional climate model coupled offline to chemistry transport model. BVOCs are emitted by terrestrial ecosystems, and their is considered especially important NOx-rich environments such as areas. study BVOC (O3), formaldehyde (HCHO), hydroxyl radical (OH) near-surface concentrations, showing an increase in summer 6 %–10 % large areas Europe due emissions. It also demonstrates substantial concentrations. Additionally, concentrations shows decrease most modeled region 20 %–60 %, with some increases Impacts peroxy radicals (HO2 higher RO2) shown too. Importantly, explores partial role modulating its overall formation all findings reveal that contribute around 10 total areas, indicating significant but localized influence. conducts sensitivity analyses assess uncertainty arising from calculation fraction results show responds magnitude nearly linearly, variations up 4-fold, emphasizing importance accurately quantifying fluxes. Overall, sheds light intricate relationship between vegetation, emissions, atmospheric chemistry, providing valuable insights into causes pollution.

Language: Английский

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Evolution and customisation of the RegCM model for urban climate studies: Addressing multifaceted challenges and advancing climate science

Geography and sustainability, Journal Year: 2024, Volume and Issue: 5(4), P. 607 - 624

Published: Sept. 6, 2024

Language: Английский

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