Javascript must be enabled to continue!
Modeling of fine and ultrafine particulate matter in Poland using WRF-Chem
View through CrossRef
Air pollution caused by particulate matter (PM) remains one of the major environmental challenges in Europe, with fine and ultrafine particles (UFP) posing a particularly serious risk to human health and the climate system. Owing to their small size, UFP can penetrate deep into the respiratory tract and enter the bloodstream, thereby contributing to cardiovascular and pulmonary diseases. In addition, ultrafine aerosols play an important role in atmospheric chemistry and radiative processes. In Central and Eastern Europe, wintertime residential heating based on coal, peat, and wood combustion is a dominant source of elevated PM concentrations and is frequently associated with severe air pollution episodes.While PM2.5 and PM10 have been extensively studied, much less attention has been paid to ultrafine particles. In particular, their spatial variability, their contribution to total particulate matter, and their representation in chemistry–transport models remain insufficiently constrained, especially during the winter heating season. As a result, model evaluation beyond standard mass-based PM metrics is still limited.In this study the WRF-Chem model is used to simulate fine and ultrafine particle pollution over Poland for the period from 10 December 2024 to 3 January 2025, during which several high PM2.5 concentration events linked to residential heating emissions were observed. The simulations employ the MOZART–MOSAIC chemistry and aerosol scheme, which allows for an explicit representation of aerosol size distributions and microphysical processes relevant for combustion-related particles.Model output is evaluated using ground-based observations from the ACTRIS research infrastructure, including size-resolved aerosol measurements, as well as routine PM2.5 observations from the Polish national air quality monitoring network (GIOŚ). The evaluation is based on spatial and temporal collocation of modeled and observed data and focuses on model performance during the winter pollution episode.The results provide insight into the ability of WRF-Chem to reproduce wintertime PM2.5 episodes driven by residential heating emissions and into the role of ultrafine particles in shaping total PM concentrations.This work was supported by the European Union’s programme “Support to Advanced Learning and Training (EU4Belarus- SALTII)”.
Title: Modeling of fine and ultrafine particulate matter in Poland using WRF-Chem
Description:
Air pollution caused by particulate matter (PM) remains one of the major environmental challenges in Europe, with fine and ultrafine particles (UFP) posing a particularly serious risk to human health and the climate system.
Owing to their small size, UFP can penetrate deep into the respiratory tract and enter the bloodstream, thereby contributing to cardiovascular and pulmonary diseases.
In addition, ultrafine aerosols play an important role in atmospheric chemistry and radiative processes.
In Central and Eastern Europe, wintertime residential heating based on coal, peat, and wood combustion is a dominant source of elevated PM concentrations and is frequently associated with severe air pollution episodes.
While PM2.
5 and PM10 have been extensively studied, much less attention has been paid to ultrafine particles.
In particular, their spatial variability, their contribution to total particulate matter, and their representation in chemistry–transport models remain insufficiently constrained, especially during the winter heating season.
As a result, model evaluation beyond standard mass-based PM metrics is still limited.
In this study the WRF-Chem model is used to simulate fine and ultrafine particle pollution over Poland for the period from 10 December 2024 to 3 January 2025, during which several high PM2.
5 concentration events linked to residential heating emissions were observed.
The simulations employ the MOZART–MOSAIC chemistry and aerosol scheme, which allows for an explicit representation of aerosol size distributions and microphysical processes relevant for combustion-related particles.
Model output is evaluated using ground-based observations from the ACTRIS research infrastructure, including size-resolved aerosol measurements, as well as routine PM2.
5 observations from the Polish national air quality monitoring network (GIOŚ).
The evaluation is based on spatial and temporal collocation of modeled and observed data and focuses on model performance during the winter pollution episode.
The results provide insight into the ability of WRF-Chem to reproduce wintertime PM2.
5 episodes driven by residential heating emissions and into the role of ultrafine particles in shaping total PM concentrations.
This work was supported by the European Union’s programme “Support to Advanced Learning and Training (EU4Belarus- SALTII)”.
Related Results
Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
Isolation, characterization of natural products dimeric amide alkaloids from roots of the Piper chaba Hunter. The synthesis of these products using intermolecular [4+2] cycloaddit...
C60-Fused Ketoamides Formation in Self-Sensitized Photo-Oxidation of 2-Fulleropyrrolines and Its Dynamic Study
C60-Fused Ketoamides Formation in Self-Sensitized Photo-Oxidation of 2-Fulleropyrrolines and Its Dynamic Study
Given the immense and potential applications in materials science and biological science, fullerenes and their derivatives have attracted extensive attention.1 A large number of ch...
Seasonal prediction of Indian summer monsoon using WRF: A dynamical downscaling perspective
Seasonal prediction of Indian summer monsoon using WRF: A dynamical downscaling perspective
Abstract
Seasonal forecasting of the Indian summer monsoon by dynamically downscaling the CFSv2 output using a high resolution WRF model over the hindcast period of 1982–20...
PHYSICAL PROPERTIES OF ULTRAFINE CLAY-WOOD DUST HYBRID REINFORCED RECYCLED POLYETHYLENE TEREPHTHALATE MATRIX COMPOSITE FOR SEMI-STRUCTURAL APPLICATIONS
PHYSICAL PROPERTIES OF ULTRAFINE CLAY-WOOD DUST HYBRID REINFORCED RECYCLED POLYETHYLENE TEREPHTHALATE MATRIX COMPOSITE FOR SEMI-STRUCTURAL APPLICATIONS
This research involves the production of polymer matrix composites as a combination of ultrafine clay, wood dust and recycled Polyethylene Terephthalate (PET) where the matrix is r...
Using an Artificial Neural Network to improve operational wind prediction in a small unresolved valley
Using an Artificial Neural Network to improve operational wind prediction in a small unresolved valley
<p>Forecasting valley winds over complex terrain using a coarse horizontal resolution mesoscale model is a challenging task. Mesoscale models such as<br>...
Exploration of WRF simulations of extreme rainfall in Egypt
Exploration of WRF simulations of extreme rainfall in Egypt
<p>This research evaluates the performance of the Weather Research and Forecasting model (WRF-ARW, version 4.0) in simulating a regional extreme rainfall event over t...
Assessment of WRF-Chem model simulations of particulate matter in West Africa: a systematic review
Assessment of WRF-Chem model simulations of particulate matter in West Africa: a systematic review
Abstract
Particulate matter (PM) pollution is an escalating environmental and public health challenge in West Africa, which is often linked to respiratory disease...
Research on the Physicochemical Properties of Fine Particulate Matter in Changchun, Northeast China
Research on the Physicochemical Properties of Fine Particulate Matter in Changchun, Northeast China
Abstract
Objective: Air particulate matter concentrations in Changchun City, Jilin Province, may change around the autumn heating day. The aim of this study was to p...

