AS3.8 | Dust aerosols and Bioaerosols: measurements, modelling and impacts
Dust aerosols and Bioaerosols: measurements, modelling and impacts
Convener: Zhongwei Huang | Co-conveners: Ian Crawford, Hocine Ali-Khodja, Federico Mazzei, Teruya Maki, David O'Connor
Orals
| Tue, 16 Apr, 14:00–15:45 (CEST)
 
Room 1.85/86
Posters on site
| Attendance Wed, 17 Apr, 10:45–12:30 (CEST) | Display Wed, 17 Apr, 08:30–12:30
 
Hall X5
Orals |
Tue, 14:00
Wed, 10:45
Dust aerosols are one of the most important components in the atmosphere, which are mainly originated from the dust aerosol belt along the African and Asian Continents (DAAC). Dust events cannot carry only mineral particles but also bioaerosols such as bacteria and fungi, and allow them travel for long distance from their origin. The effects of dust aerosols and bioaerosols on ecosystems and climate changes are complicated as the effects of dust and bioaerosols on clouds and precipitation are not yet clear, and the simulation of dust aerosols and the detection and classification of bioaerosols remain a major technical challenge. As such, accurately quantifying dust aerosols and bioaerosols, understanding their impacts is of importance to an increasingly diverse range of research communities. The further researches remarkably needed to investigate the emission sources, transport mechanisms, and climate impacts of dust and bioaerosols along the DAAC, the impact of allergenic species on public health and air quality, and how changes introduced by net zero policies affect this. Therefore, observations along with regional and global modelling are required to gain a comprehensive understanding of the roles of dust aerosols and bioaerosols in climate system.
The goal of the proposed session is to discuss with worldwide scientists together and to gain more insight into the different aspects of the dust aerosols and bioaerosols including but not limited to topics: (1) dust source contribution, transport mechanisms and processes using observations and modelling; (2) bioaerosols observations based on real-time detection, laboratory studies, machine learning data processing techniques and model simulations; (3) exposure assessment and associated health impacts of bioaerosols; (4) impacts of dust and bioaerosols on climate, environment as well as ecosystem.

Session assets

Orals: Tue, 16 Apr | Room 1.85/86

Chairpersons: Ian Crawford, Teruya Maki
14:00–14:05
14:05–14:15
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EGU24-10131
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Highlight
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On-site presentation
Xiaoxia Shang, Maria Filioglou, Elina Giannakaki, Stephanie Bohlmann, and Mika Komppula

Pollen has various effects on human health and the environment. Studies show that lidar (light detection and ranging) can detect the presence of pollen in the atmosphere, and it is possible to track airborne pollen using the depolarization ratio in the absence of other depolarizing non-spherical particles (e.g. dust).

Since 2016, several pollen campaigns were performed at Vehmasmäki (62°44'N, 27°33'E, 190 m above sea level) site, a rural forest area located ~18 km from the Kuopio cite centre, in Eastern Finland. The clean air in Finland favours the pollen study. This station is operated by the Finnish Meteorological Institute, and is permanently equipped with a multi-wavelength Raman polarization lidar PollyXT, a Halo Photonics StreamLine Pro Doppler lidar, a Vaisala CL61 ceilometer, and multiple in situ instruments. All three lidars are equipped with polarization channels and enable the investigation of the optical properties at the wavelengths of 355, 532, 910 and 1565 nm. In addition, a Hirst-type Burkard pollen sampler was placed 4 meters above ground level near the lidars, which enabled the microscopic identification of pollen types and the number concentration.

During the pollination events, enhanced linear particle depolarization ratios (PDRs) were detected by lidars, suggesting the presence of non-spherical particles. A positive (negative) correlation was found between the pollen concentration (contribution of other aerosols) and PDRs. Depolarization ratios of pollen layers were measured at four wavelengths, allowing investigating its wavelength dependence. This could enable the distinction of pollen from other depolarizing aerosols. Results also highlight the suitability of the PDR at longer wavelengths for pollen detection. We have developed two pollen algorithms for characterizing the optical properties of pure pollen particles, based on PollyXT measurements. They were applied to evaluate the pollen depolarization ratio which is an essential parameter needed to separate pollen backscatter from the background aerosol backscatter. The algorithm was also applied for the aerosol classification, and identified different pollen types.

How to cite: Shang, X., Filioglou, M., Giannakaki, E., Bohlmann, S., and Komppula, M.: Detection and characterization of airborne pollen using lidars in Finland, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10131, https://doi.org/10.5194/egusphere-egu24-10131, 2024.

14:15–14:25
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EGU24-13890
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Highlight
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On-site presentation
Allison Steiner, Yingxiao Zhang, Jordan Schnell, and Sarah Brooks

Pollen is one type of bioaerosol emitted in large quantities from many northern hemisphere vegetation types and has known impacts on human health and climate. A pollen emissions model accounting for 13 of the most prevalent types of pollen in North America is used to simulate emissions in the present day and the future and estimate concentrations with time.  Model simulations are evaluated with both ground-based pollen counts and remote sensing techniques to understand the seasonal timing of different pollen emission types and their relevance for climate.  Additionally, pollen grains can rupture and create smaller, subpollen particles that can influence cloud formation as cloud condensation nuclei and ice nucleating particles. Simulations indicate that the subpollen particles enhance cloud microphysical processes more than intact pollen grains by influencing the spatial extent and vertical structure of convective systems.  We evaluate the uncertainty of how estimated versus observed rupture rates and find that simulated SPP impacts are intensified when incorporating laboratory measured pollen rupture rates.

 

How to cite: Steiner, A., Zhang, Y., Schnell, J., and Brooks, S.:  Simulations of pollen in North American and their influence on climate, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13890, https://doi.org/10.5194/egusphere-egu24-13890, 2024.

14:25–14:35
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EGU24-8076
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On-site presentation
Kashif Rasool, Bilal Sajjad, Azhar Siddique, Khadeeja Abdul Jabbar, Shimaa El-Malaha, and Fares Almomani

This study provides a thorough examination of ambient air bioaerosols in Qatar, specifically delving into the environmental aspects of bacteria, fungi, and viral diversity. The main objective is to elucidate the public health implications related to airborne superbugs and viruses in Qatar's unique arid climate, focusing on the urban areas of Doha. Bioaerosol samples were meticulously collected from eight distinct urban sites in Qatar throughout the year, covering diverse climatic conditions. Employing advanced methodologies, such as classical microbiology and next-generation sequencing, the samples underwent analysis to identify a wide range of pathogens, including bacteria, fungi, and viruses. The results obtained during the spatial-seasonal characterization of bacterial and fungal concentration in ambient air throughout the year reveal that bacterial and fungal diversity was higher in the summer (hot-dry) and winter seasons, respectively. The highest average concentration of total ambient bacteria and fungi was observed to be 130 CFU/m3 during the summer (dry-hot) and 40 CFU/m3 during the winter season, respectively. Notably, high bacterial concentration occurred in 80% of locations during the summer (dry-hot) season, while for fungi, it was 70% of locations during winter seasons. Fungal concentration was reported to be low during the summer (humid-hot) season. Culturable bacterial and fungal species were identified through detailed biochemical and microscopic analysis. Health-significant microorganisms identified include bacteria (Pseudomonas, Pasteurella, Pantoea, Proteus, Myroides, Chryseobacterium, Yersinia, Ochrobactrum, Sphingomonas, Vibrio) and fungi (Alternaria, Aspergillus, Fusarium, Rhizopus, Penicillium). The study detected the strongest antibiotic resistance during the summer (humid-hot) season, with all samples exhibiting resistance to Metronidazole, a common treatment for bacterial vaginosis and other inflammatory diseases. The investigation also yielded significant findings in two additional crucial areas: (i) Antibiotic Resistance Genes (ARG): Identification of critical and high-priority antibiotic-resistant strains, such as Acinetobacter baumannii and Staphylococcus aureus, indicating a significant public health concern for urban air quality. Temporal and spatial variations in ARG profiles further emphasized the complexity of the issue. (ii) Viral Diversity: A comprehensive array of viruses, including zoonotic and plant viruses, were detected. The presence of human pathogens like Escherichia coli and Orthohepevirus A (Hepatitis E virus) highlighted the potential for airborne disease transmission. This study underscores the intricate interplay between human, animal, and environmental health in urban ecosystems, aligning with previous research findings. The results emphasize the critical need for integrated surveillance to comprehensively understand bioaerosol composition and associated public health risks, especially in the context of Qatar's distinctive climatic conditions, where dust storms can significantly influence bioaerosol dynamics. The study advocates for heightened awareness and proactive public health measures to mitigate the risks associated with airborne pathogens and antibiotic resistance, aligning with recommendations from various health experts.

How to cite: Rasool, K., Sajjad, B., Siddique, A., Abdul Jabbar, K., El-Malaha, S., and Almomani, F.: Urban Air Quality in Doha: A Year-long Examination of Bioaerosols and Public Health Implications, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8076, https://doi.org/10.5194/egusphere-egu24-8076, 2024.

14:35–14:45
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EGU24-13333
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On-site presentation
Jennifer G. Murphy and Sarah Simon

Understanding the interaction between ozone and pollen is crucial, as it may influence pollen allergenicity and reproductive viability. This study investigates the kinetic uptake of ozone by pollen, and the its resulting modification, revealing significant variability among 12 tree pollen species.

Exposure of pollen to moderate ozone levels (130 – 150 ppb) in small air chambers facilitated the measurement of ozone uptake until total surface saturation. This yielded initial uptake coefficients (0.6 – 6.4 x 10-5) and total adsorbed ozone (9.4 – 2200 ng O3 per mg of pollen). Using this information, we calculate the number of reactive sites on pollen surfaces (1013 – 1016 sites cm-2) and observed rate coefficients (kobs) ranging from 10-15 – 10-17 cm3 sites-1 s-1. Notably, Ash pollen, similar in size to Birch pollen, exhibited 25 times greater ozone uptake, indicating a dependence on pollen type. Molecular modifications induced by ozone were explored using optical spectroscopy, identifying potential chemical markers and emphasizing molecular diversity among pollen species. Antioxidant molecules, like carotenoids in Ash, indicated a protective role for the pollen coat, suggesting that significant ozone uptake may not harm pollination.

Using a box model with plausible rates for pollen emission and deposition, we were able to calculate the extent of pollen modification by ozone in airborne pollen under environmentally relevant conditions. Depending on the pollen species, the extent of oxidation in airborne pollen ranged from 24% - 97%, and was highest in the late afternoon. Sensitivity analysis shows that the extent of oxidation is sensitive to uptake kinetics, ozone concentrations, and assumptions about mixing height. Under typical conditions, tree pollen grains are airborne for long enough that they will experience a significant proportion of the total potential modifications induced by ozone exposure.

How to cite: Murphy, J. G. and Simon, S.: Quantification of the kinetics of ozone uptake by tree pollen and the extent of modification, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13333, https://doi.org/10.5194/egusphere-egu24-13333, 2024.

14:45–14:55
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EGU24-16338
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On-site presentation
Hao Zhang, Congbo Song, David Topping, Ian Crawford, Martin Gallagher, Man Nin Chan, Hing Bun martin Lee, Sinan Xing, Tsin Hung Ng, and Amos Tai

The role of atmospheric bio-aerosols as determinants of environmental and human health outcomes is receiving more attention. However, a lack of fully evaluated end-to-end detection techniques hinders our understanding of identifying bioaerosol types and their environmental drivers, particularly in complex environments. In this study we mitigate these challenges through development of a novel machine learning framework that combines unsupervised deep learning and explainable machine learning techniques. The first step combines bidirectional long short-term memory autoencoder (Bilstm-AE) and a relatively new hierarchical, fast, clustering technique. Our results indicate that this approach outperforms other models, successfully distinguishing between fungal spores, non-biological aerosols, and pollen solely based on fluorescence information without the need for training data. Subsequently using automated machine learning and the SHapley Additive eXplanation (SHAP) method, we quantitatively discerned the environmental drivers of bioaerosol types. The variation of SHAP value indicated that the elevated pollen concentrations at night could be attributed to changes in its air mass composition and origins. More importantly, we find ambient evidence that pollen may break into smaller fragments when RH is over 90, leading to significant changes in its fluorescence spectrum and a rapid increase in its concentration. Overall we find that combining unsupervised deep learning and explainable machine learning could provide new insights into type-specific bioaerosols process.

How to cite: Zhang, H., Song, C., Topping, D., Crawford, I., Gallagher, M., Chan, M. N., Lee, H. B. M., Xing, S., Ng, T. H., and Tai, A.: Using explainable machine learning to better understand source and process contributions to atmospheric bio-aerosol, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16338, https://doi.org/10.5194/egusphere-egu24-16338, 2024.

14:55–15:05
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EGU24-16792
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Highlight
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On-site presentation
Anu-Maija Sundström, Marie Doutriaux-Boucher, Federico Fierli, Soheila Jafariserajehlou, Lieven Clarisse, Simon Whitburn, Alessandra Cacciari, Dominika Czyzewska, Simone Mantovani, Mario Cavicchi, and Bertrand Fougnie

Satellites provide a powerful tool to monitor dust at global scale, both at near real time as well as over a longer time period. In this work we introduce a new satellite-based dataset on dust, that is derived from the  Polar Multi-sensor Aerosol optical properties product (PMAp) Climate Data Record (CDR). The first PMAp CDR was released by EUMETSAT in September 2022 (http://doi.org/10.15770/EUM_SEC_CLM_0053). It provides 13 years (2007-2019) of global observations on Aerosol Optical Depth (AOD) at 550 nm, and aerosol type, including dust. The PMAp aerosol properties are derived using multi-instrument approach, where simultaneous observations from the Global Ozone Monitoring Experiment-2 (GOME-2), Infrared Atmospheric Sounding Interferometer (IASI), and Advanced Very High Resolution Radiometer (AVHRR) onboard Metop-A and Metop-B satellites are exploited. The PMAp retrieval algorithm and the synergy concept  is described in detail by Grzegorski  et al. (2022).

Level 2 PMAp data provide pixel-level classification of aerosol types. Dust detection in the multi-instrument approach is based on IASI observations using method developed by Clarisse et al. (2013), while AOD at 550 nm is retrieved using GOME-2 measurements.  The PMAp aerosol type classification is used to extract dust-dominated pixels from the CDR dataset and to define dust-related AOD. Comparisons against ground-based AERONET observations over Sahara and the Saharan outflow area show a slight positive bias of about 0.02 for PMAp dust AOD at 550 nm, whereas the positive bias tends to increase at AERONET stations in the Asian continent.  Results also show that PMAp dust AOD generally catches well the dynamic variations of aerosol loading at the AERONET stations. To assess more broadly the spatial and temporal variation of the PMAp dust AOD at continental scale, comparisons against other existing satellite-based dust products, including IASI dust AOD provided by the Free University of Brussels (ULB) (Clarisse et al., 2019) and the ModIs Dust AeroSol (MIDAS) global dataset (Gkikas et al., 2021) will be carried out.  

Acknowledgements: This work is supported by EUMETSAT Copernicus User Guidance project. 

References:

Grzegorski, M., Poli, G., Cacciari, A., Jafariserajehlou, S., Holdak, A., Lang, R.,Vazquez-Navarro, M., Munro, R., and Fougnie, B.: Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation. Remote Sens. 2022, 14, 85. https://doi.org/10.3390/rs14010085.

Clarisse, L., Coheur, P.F., Prata, F., Hadji-Lazaro, J., Hurtmans, D., and Clerbaux, C.: A unified approach to infrared aerosol remote sensing and type specification. Atmos. Chem. Phys. 2013, 13, 2195–2221,https://doi.org/10.5194/acp-13-2195-2013.

Clarisse, L., Clerbaux, C., Franco, B., Hadji-Lazaro, J., Whitburn, S., Kopp, A. K., et al.: A decadal data set of global atmospheric dust retrieved from IASI satellite measurements. J. Geophys. Res., 2019, 124, 1618– 1647, https://doi.org/10.1029/2018JD029701.

Gkikas, A., Proestakis, E., Amiridis, V., Kazadzis, S., Di Tomaso, E., Tsekeri, A., Marinou, E., Hatzianastassiou, N., and Pérez García-Pando, C.: ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set, Atmos. Meas. Tech., 2021, 14, 309–334, https://doi.org/10.5194/amt-14-309-2021.

How to cite: Sundström, A.-M., Doutriaux-Boucher, M., Fierli, F., Jafariserajehlou, S., Clarisse, L., Whitburn, S., Cacciari, A., Czyzewska, D., Mantovani, S., Cavicchi, M., and Fougnie, B.: Analysis of Dust Aerosols in the PMAp Satellite Climate Data Record , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16792, https://doi.org/10.5194/egusphere-egu24-16792, 2024.

15:05–15:15
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EGU24-3017
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ECS
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On-site presentation
Xiao Li, Zechen Yu, Man Yue, Yaman Liu, Kan Huang, Xuguang Chi, Wei Nie, Aijun Ding, Xinyi Dong, and Minghuai Wang

Dust heterogeneous chemistry plays an important role in the atmosphere and has significant effects on climate and the environment. However, the traditional modelling method treats heterogeneous chemistry as pseudo-first-order reactions, which retains significant uncertainties, hindering the accurate prediction of secondary inorganic aerosols. In contrast, the actual dust heterogeneous chemistry involves complex multiphase reactions, including partition between gas- and dust-phase, and reactions on the dust surface. In this study, we implement a photocatalytic mechanism into the GEOS-Chem model and apply it to investigate the impact on atmospheric chemistry during a dust storm over East Asia during April 9-14th, 2018.With the photocatalytic heterogeneous chemistry (PHO), model simulation better reproduces observed sulfate and nitrate concentrations than those with the traditional pseudo-first-order mechanism (TDT) or without any dust heterogeneous chemistry at all (BASE). As validated against observations, normalized mean bias (NMB) in PHO reduces substantially compared to TDT, from -61.65% and 103.38% to -2.19% and 6.83% at Nanjing and Shanghai, respectively. The model also accurately simulates gaseous precursors such as SO2 and NO2, as evidenced by a decline in NMB from 103.38% and 81.80% to 6.83% and 6.64% at the two sites, respectively. Furthermore, our analysis indicates that the larger dry deposition velocity of dust-phase sulfate and higher sulfate concentrations simulated by PHO jointly lead to a significant increase in SO4 dry deposition flux, demonstrating that the dust heterogeneous chemical process facilitates the removal of aerosol pollutants during dust events. These findings reinforce the need for enhancing the representation of dust heterogeneous chemistry in atmospheric models, underlining the criticality of this factor in accurate predictive modelling and environmental impact studies.

How to cite: Li, X., Yu, Z., Yue, M., Liu, Y., Huang, K., Chi, X., Nie, W., Ding, A., Dong, X., and Wang, M.: Impact of mineral dust photocatalytic heterogeneous chemistry on the formation of the sulfate and nitrate: A modelling study over East Asia, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3017, https://doi.org/10.5194/egusphere-egu24-3017, 2024.

15:15–15:25
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EGU24-4224
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ECS
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On-site presentation
Jiawang Feng, Chun Zhao, Qiuyan Du, and Mingyue Xu

In this study, a global variable-resolution modeling framework of atmospheric dust and its radiative feedback is established and evaluated. In this model, atmospheric dust is simulated simultaneously with meteorological fields, and dust-radiation interactions are included. Five configurations of global mesh with refinement at different resolutions and over different regions are used to explore the impacts of regional refinement on modeling dust lifecycle at regional and global scales. The model reasonably produces the overall magnitudes and spatial variabilities of global dust metrics such as surface mass concentration, deposition, AOD, and radiative forcing compared to observations and previous modeling results. Two global variable-resolution simulations with mesh refinement over major deserts of North Africa (V16km-NA) and East Asia (V16km-EA) simulate less dust emissions and smaller dry deposition rates inside the refined regions due to the weakened near-surface wind speed caused by better resolved topographic complexity at higher resolution. The dust mass loadings over North Africa are close to each other between V16km-NA and the quasi-uniform resolution (~120km) (U120km), while over East Asia, V16km-EA simulates higher dust mass loading. Over the non-refined areas with the same resolution, the difference between global variable-resolution and uniform-resolution experiments also exists, which is partly related to their difference in dynamic time-step and the coefficient for horizontal diffusion. Refinement at convection-permitting resolution around the Tibetan Plateau (TP) simulates less dust due to its more efficient wet scavenging from resolved convective precipitation around the TP against coarse resolution.

How to cite: Feng, J., Zhao, C., Du, Q., and Xu, M.: Simulating Atmospheric Dust With a Global Variable-Resolution Model: Model Description and Impacts of Mesh Refinement, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4224, https://doi.org/10.5194/egusphere-egu24-4224, 2024.

15:25–15:35
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EGU24-265
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ECS
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Highlight
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On-site presentation
Qiantao Liu, Zhongwei Huang, Zhiyuan Hu, Jianrong Bi, Jinsen Shi, Tian Zhou, and Qingqing Dong

Saharan dust accounts for about 50-60% of the total global dust and can affect regional climate, environment and ecosystems through direct and indirect effects. However, the long-range transport of Saharan dust to East Asia and the further specific effects on its weather and climate are still poorly understood. Using the satellite observations combined with the model simulations, the multiple reanalysis data and HYSPLIT trajectory analysis, we systematically study the long-range transport of Saharan dust to East Asia and further study the impact of Saharan dust on the direct radiative forcing, clouds and precipitation in East Asia. A quarter (24.3 ± 6.2%) of dust cases in East Asia were originated from the Sahara Desert. The long-range transported Saharan dust is usually located in the upper troposphere of East Asia. The total annual average amount of Saharan dust transported over East Asia is 33.05 ± 9.78 Tg/year. Saharan dust can be transported eastward throughout the year and contributes about 35.8% of the dust to the upper troposphere in northern China in spring, which is almost equivalent to the amount of dust lifted from the East Asian dust source. Furthermore, in terms of regional impact, Saharan dust has a cooling effect on the surface and the top of the atmosphere, and a heating effect on the atmosphere. During a rainfall event, Saharan dust reduces the cloud supercooled water path over the Taklimakan Desert by 13.3 g/m2 in 3 h, converting supercooled water clouds into ice clouds and increasing the cloud ice-water path. As a result, a large amount of dust that acts as ice nuclei induces rainfall in the hinterland of the Taklimakan Desert as high as 6.32 mm. This study provides a new perspective on the important role of Saharan dust over East Asia, contributes to a better understanding of its long-range transport properties over East Asia and the sources of dust aloft in East Asia, and elucidates the impact of long-range transported dust on regional direct radiative forcing, clouds, and precipitation to better assess the impact of dust on climate and environment.

How to cite: Liu, Q., Huang, Z., Hu, Z., Bi, J., Shi, J., Zhou, T., and Dong, Q.: Long-range transport of Saharan dust to East Asia and their regional impacts, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-265, https://doi.org/10.5194/egusphere-egu24-265, 2024.

15:35–15:45
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EGU24-5224
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ECS
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On-site presentation
Cuiui Shi, Yihao Ma, and Rui Mao

Mongolia and northern China have the largest dust weather frequency in Northeast Asia. Dust transport from Mongolia to China is an important cause of dust weather in northern China. In the two dust weather events in April 2023, Mongolia's cross-border transmission accounts for 42% and 62% of dust concentration in northern China respectively. However, there are few studies on the frequency change of cross-border dust weather from Mongolia to China in the past few decades. Based on the observational data, here we analyzed the variation of cross-border dust weather in China and Mongolia during 1987-2022. The result showed that the annual average of cross-border dust weather in China and Mongolia was about 7 times, mostly concentrated in spring. Cross-border dust weather accounts for 75% of the total dust weather in northern China. In addition, cross-border dust weather from Mongolia to China showed an increasing trend in the past 36 years, and the increase was more significant after 2000. The increase in cross-border dust weather from Mongolia to China was influenced by a combination of human activities and the natural environment. Reductions in vegetation cover and soil moisture in Mongolia over the past decades have provided favorable conditions for the dust emission, while changes in the polar front jet have provided the impetus for dust transport. This research contributes to a more comprehensive understanding of the dynamics of dust weather events in Northeast Asia, providing references for future mitigation strategies and environmental management.

How to cite: Shi, C., Ma, Y., and Mao, R.: Increasing cross-border dust weather from Mongolia to China during 1987-2022, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5224, https://doi.org/10.5194/egusphere-egu24-5224, 2024.

Posters on site: Wed, 17 Apr, 10:45–12:30 | Hall X5

Display time: Wed, 17 Apr, 08:30–Wed, 17 Apr, 12:30
X5.40
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EGU24-198
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ECS
Sachin Dhawan, Anand Kumar, Mukesh Khare, and Dalip Singh Mehta

In the ambient environment where gases and various particles coexist, pollen is a chief biological airborne particle among atmospheric bioaerosols. Despite its significance, pollen surveillance in many countries including India is overlooked as most of the air quality monitoring, predominantly targets PM2.5, PM10, or other gaseous pollutants. Pollens are not only vital for plant reproduction but they interact with various atmospheric elements, trigger allergies, influence genetic exchange and cause environmental shifts by fostering microorganism transmission. Despite their profound impacts, the epidemiological effects of pollens remain underexplored. Majority of the pollens aggravate diseases like asthma or COPD in human beings and, therefore the investigative studies on pollens become crucial for disease management. The sampling of pollens involves multiple parameters e.g., wind speed, turbulence, and orientation of sampler, affecting their concentrations. Suction-based impaction pollen samplers offer promising pollen sampling due to their adaptable cut points and high throughput. However, if such suction-based samplers are designed to match human breathing rates of 12-16 LPM and a D50 of 2 µm, the retrieval of pollens is efficiently optimized. In this work, a rectangular slit-based pollen sampler was designed after carrying out extensive numerical modelling for creating a 3D design of the sampler. Further, the Computational Fluid Dynamic (CFD) employing Poly-Hexcore volume meshing, and a k-w turbulence model combined with the Discrete Phase Model (DPM). was used to validate the design of the sampler., The DPM includes particle sizes ranging from 2 – 100 µm with simulations carried out in two regions i.e., solid (slide) and fluid (air). The slide's boundary condition was set as ‘trap’ since it was coated with a sampling medium to capture pollens. Further, inlet and outlet boundary conditions were set as ‘escape’. The efficiency of pollen collection as observed from the simulations, ranged between 60% - 100%, gauged through particle trajectory and streamlines. Pollen collection efficiency was found to increase when staggered inlet and outlet mass flow geometry were used. Moreover, the use of a trapping sampling medium restricted particle jump-off, altering the particle cut-off point towards smaller sizes. This shift, while enhancing capture efficiency, also influenced the particle size range the sampler can effectively trap. In summary, the pollen sampler designed in this work exhibited a better collection efficiency compared to traditional samplers and was also representative of the pollen inhalation rate of human beings. Further, field testing was also done for the sampler to see the presence of pollen in ambient air.

How to cite: Dhawan, S., Kumar, A., Khare, M., and Mehta, D. S.: Design and Validation of a portable sampler to monitor pollens at street level in the ambient environment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-198, https://doi.org/10.5194/egusphere-egu24-198, 2024.

X5.41
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EGU24-779
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ECS
Arzoo Dhankhar, Sagnik Dey, Nicholas J Osborne, and Darsy Darssan

Estimating pollen profiles and assessing relationships with meteorology, air pollutants and vegetation in three cities of India

Arzoo Dhankhar1, Sagnik Dey2, Darsy Darssan3, Nicholas J Osborne3

1UQIDAR (University of Queensland, Australia- Indian Institute of Technology, Delhi, India)

2Indian Institute of Technology, Delhi

3School of Public Health, University of Queensland, Australia

 

Allergy, is, showing an increasing incidence over recent decades across the globe. Less emphasised is the impact of bioaerosols particularly ‘pollen’ on adverse respiratory health effects. India has some of the poorest air quality globally making it an important study area. Regular monitoring of airborne pollen is crucial to know the current prevalence and diversity of potential pollen allergens present in the air column. But most of the LIC and LMICs lack regular pollen monitoring both spatially and temporally.

In this study, we collected daily bi-hourly airborne pollen samples from three cities in India (Delhi, Rishikesh and Kolkata) for 5 weeks. These samples were collected using small portable pollen samplers (pollen sniffers). The pollen were counted using microscopy and the results were analysed. The study focused on assessing the relationships between daily pollen counts (total and grass), meteorological parameters (wind speed, relative humidity, temperature, rainfall), vegetation and air pollutants (PM2.5, PM10, NOx, SOx, O3).

Poaceae and Chenopodiaceae-Amaranthaceae families were found to be the dominant airborne pollen families at the Delhi site since it was the peak growing season for grasses and weeds. The overall range for total pollen was highest in Rishikesh (300-500 pollen counts) than in Delhi and Kolkata. Among meteorology, rain, temperature, and wind were significantly correlated with bihourly pollen counts with p value < 0.05. Since the cities chosen for the analysis differ in pollution levels, the insights provide a better understanding of pollution and pollen effects.  The study also reflects upon a less explored method of airborne pollen collection, further adding meteorology effects on pollen to the research database. The results will be used to develop prediction model for grass pollen using variables like vegetation and meteorology.

Further work will be assessing pollen counts with respiratory health outcomes. The study’s objective is to provide valuable insights that can benefit to the policy makers, health care workers, scientist community and potentially help in reducing health burden of the country along with providing quality life for susceptible citizens.

How to cite: Dhankhar, A., Dey, S., J Osborne, N., and Darssan, D.: Estimating pollen profiles and assessing relationships with meteorology, air pollutants and vegetation in three cities of India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-779, https://doi.org/10.5194/egusphere-egu24-779, 2024.

X5.42
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EGU24-2052
Palina Bahdanovich, Kevin Axelrod, Andrey Khlystov, and Vera Samburova

Bioaerosols, or aerosol particles of biological origin, have been found to represent a significant mass fraction of atmospheric particulate matter (PM) and organic carbon (OC). These particles are larger in size (up to 100 µm) than most anthropogenic aerosols but are lighter and thus can be transported over long distances, affecting atmospheric processes and cloud physics (i.e., act as cloud condensation nuclei). Moreover, climate change is expected to increase pollen number concentrations (~21%) as well as pollen season length (+21 days) across North America. So far, only a few studies have been conducted on the chemical composition of bioaerosols and their behavior under atmospheric conditions. The goal of this research was to characterize the chemical composition of bioaerosols using multiple analytical techniques, such as Proton Nuclear Magnetic Resonance Spectroscopy (1H-NMR), Gas Chromatography-Mass Spectrometry (GC-MS), and Ultra-High Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS), thereby advancing atmospheric aerosol chemistry. Various common bioaerosols, including pollen, algae, fungi, and bacteria, are analyzed, and characterized under controlled laboratory conditions. All samples are analyzed for their chemical composition: saccharides with GC-MS, amino acids and fatty acids with UPLC-MS, and functional groups with 1H-NMR spectroscopy. The present research is one of the first studies of detailed chemical characterization of bioaerosols with the 1H-NMR technique, where the 1H-NMR results are also compared with GC- and UPLC-MS quantitative analyses of individual bioaerosol species.

How to cite: Bahdanovich, P., Axelrod, K., Khlystov, A., and Samburova, V.: Chemical Characterization of Atmospheric Bioaerosols, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2052, https://doi.org/10.5194/egusphere-egu24-2052, 2024.

X5.43
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EGU24-2447
Illia Shevchenko, Georgiy Stenchikov, and Johann Engelbrecht

The Arabian Peninsula is one of the World’s largest dust source regions. It is also affected by natural and anthropogenic pollution of African, Asian, and European origin. As the Arabian Peninsula is highly under-sampled, we have since 2012 established and maintained aerosol monitoring sites at King Abdullah University of Science and Technology (KAUST), as well as in the North-Western part of the Arabian Peninsula, and the Red Sea coast. The sites incorporate the following instrumentation. Two CIMEL sun photometers operational since 2012 as a part of the NASA Aerosol Robotic NETwork (AERONET), providing aerosol optical depth (AOD) and aerosol parameters, reporting data to the NASA Goddard website (http://aeronet.gsfc.nasa.gov/cgi-bin/type_piece_of_map_opera_v2_new). The AOD distribution over the Red Sea is measured during KAUST Red Sea cruises using a hand-held sun photometer (Microtops II). The data are reported to the NASA Maritime Network (http://aeronet.gsfc.nasa.gov/new_web/maritime_aerosol_network.html). Vertical Distribution of aerosols is sampled using the Micro Pulse Lidar (MPL) operating as a part of the NASA MPLNET (http://kimura.gsfc.nasa.gov/site--‐page?site=Kaust). We measure aerosol deposition rates on a monthly basis using passive samplers in different several locations (KAUST, 2015-2023; Al Wajh Lagoon, 2021-2022; DUBA & Tabuk,2022 -2023) and conducted a mineralogical analysis of deposited aerosols by X-ray diffractometry (XRD) and measured particle size distributions using Mastersizer3000.

Our objective in this study is to conduct an in-depth analysis of the combined effects of natural and anthropogenic pollution on air quality, climate, and application of renewable energy across the Arabian Peninsula, providing a scientific foundation for model calibration in this region. Here we report on the data sets collected in 2012- 2023:

  • KAUST campus site: Six dust deposition samplers, AERONET, MPL
  • Al Wajh Lagoon site: Nine dust deposition samplers
  • Duba site: Two dust deposition samplers
  • Tabuk site: Two dust deposition samplers

In our group’s research at KAUST, these data sets, in combination with the available satellite observations, were integrated into the meteorology-chemistry-aerosol model, WRF-Chem, to quantify the aerosol environmental impacts and support environmental decision-making in the region.

How to cite: Shevchenko, I., Stenchikov, G., and Engelbrecht, J.: Long-term Aerosol Monitoring at the Western Arabian Peninsula and Red Sea Coast, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2447, https://doi.org/10.5194/egusphere-egu24-2447, 2024.

X5.44
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EGU24-7325
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ECS
Chaowei Zhou and Xiaoming Feng

A massive ecological restoration program has been implemented in northern China with the aim of protecting the Beijing-Tianjin-Hebei the metropolitan area of eastern China from dust events. However, some current studies have cast doubt on the efficacy of such ecological restoration projects, partly due to the constraint of available water in northern China, leading to poor survival rates of planted trees in semiarid regions (15%). In this study, using a logical framework combining statistical analysis, partial least-squares path model analysis, and a regional climate model (RegCM) simulation with multisource dust indicators, we found that there was a reduction of dust in northern China that was synchronous with the increase in vegetation growth after ecological restoration. In contrast to previous reports of a decrease in wind speed due to ecological restoration, this study found that the increase in vegetation had an insignificant impact on local wind speed (p = 0.30). Instead, ecological restoration mainly reduced the sand emission in the steppe areas by improving the soil conditions of the underlying surface and hence contributed 15% of the reduction of dust events in the BeijingTianjin-Hebei metropolitan area through dust transmission (p = 0.002). The effect of ecological restoration in the northern steppe on dust reduction in the northeastern metropolitan area of China should not be overstated.

How to cite: Zhou, C. and Feng, X.: The Regional Impact of Ecological Restoration in the Arid Steppe on Dust Reduction over the Metropolitan Area in Northeastern China, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7325, https://doi.org/10.5194/egusphere-egu24-7325, 2024.

X5.45
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EGU24-8946
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Highlight
Ian Crawford, Philippa Douglas, Sameirah Macchiarulo, and Emma Marczylo

Bioaerosols are ubiquitous airborne microorganisms comprised of bacteria, fungi, pollen, virus and their constituents. Fungi have been associated with negative health effects ranging in severity from allergic reactions to asthma and serious infection, where susceptible individuals are at greater risk of life-threatening health outcomes resulting from exposure. While airborne fungi are abundant, they are poorly characterized due to the low temporal resolution of traditional offline sampling methods, limiting our understanding of key emission drivers in critical micro-environments and their impacts on air quality.

There is a critical need to better characterize background fungal aerosol concentrations to build baselines to explore exposure assessment. Here we investigate the utility of emerging real-time detection methods in conjunction with offline sampling during a two-week pilot study to characterize the outdoor concentrations of key aeroallergenic fungi at high time resolution.

A Multiparameter Bioaerosol Spectrometer (MBS) was deployed at UKHSA Chilton alongside a Burkard sampler during August 2022; The MBS is a biofluorescence spectrometer that classifies and quantifies bioaerosols on a single particle basis via their autofluorescent signatures, allowing for fungal aerosol concentrations to be derived at 5-minute time resolution; Next Generation Sequencing (NGS) was performed on daily integrated Burkard samples to provide broader fungal compositional context. Meteorological data was also recorded.

Clear diurnal behaviour in Cladosporium- and Penicillium-like aerosol was observed with the MBS, with maximums occurring in the late afternoon and early morning respectively. These characteristic emission features would not be evident from sample integrations typical of offline sampling. Comparison to the NGS bioinformatics is ongoing.

We demonstrate for the first time the utility of a complimentary real-time and offline NGS dual approach to gain deeper insights into fungal spore emissions. We suggest that this approach shows promise for routine fungi monitoring to assess impacts on public health.

How to cite: Crawford, I., Douglas, P., Macchiarulo, S., and Marczylo, E.: Assessing fungal spore health impacts with real-time detection technologies, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8946, https://doi.org/10.5194/egusphere-egu24-8946, 2024.

X5.46
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EGU24-2775
Zhongwei Huang, Qing Dong, Fanli Xue, Xinrong Yu, Qianqing Gu, Jianrong Bi, Jinsen Shi, Tian Zhou, and Jianping Huang

The long-range transport of bioaerosols by dust events significantly impacts ecological and meteorological networks of the atmosphere, biosphere and anthroposphere. Bioaerosols not only cause significant public health risks, but also act as efficient ice nuclei for inducing cloud formation and precipitation in the hydrological cycle. To establish risk management for bioaerosol impacts on the Earth system, a large-scale investigation of bioaerosols must be performed under different environmental conditions. For this purpose, a Dust-Bioaerosol (DuBi) field campaign was conducted, to investigate the distribution of bioaerosols by collecting ~ 950 samples at 39 sites across East Asia from 2016 to 2021. Concentrations and community structures of bioaerosols were further analyzed using fluorescence microscopic observations and high-throughput DNA sequencing, and these factors were compared to environmental factors, such as PM10 and aridity. The results indicated that microbial concentrations at dryland sites were statistically higher than those at humid sites, while the microbe to total particle ratio was statistically lower in drylands than in humid regions. Microbial cells per microgram of PM10 decreased when PM10 increased. The proportion of airborne particles at each site did not vary substantially with season. The richness and diversity of airborne bacteria were significantly higher in drylands than in semiarid regions, while the community structures were stable among all sampling sites. The DuBi field campaign helps a better understanding of bioaerosol characteristics variations along dust transport pathway in East Asia and the changes of bioaerosols under the trend of climate warming, supporting the efforts to reduce public health risks.

How to cite: Huang, Z., Dong, Q., Xue, F., Yu, X., Gu, Q., Bi, J., Shi, J., Zhou, T., and Huang, J.: Large-scale Dust-Bioaerosol field observations in East Asia, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2775, https://doi.org/10.5194/egusphere-egu24-2775, 2024.

X5.47
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EGU24-9473
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ECS
Tetiana Vovk, Maciej Kryza, Szymon Tomczyk, Małgorzata Malkiewicz, Piotr Lipiński, and Małgorzata Werner

Over the past 30 years, the prevalence of allergies has increased continuously. Allergic rhinitis and asthma are among the most frequent non-communicable diseases and cause serious public health concerns worldwide, with the highest prevalence rates among children and adolescents. Moreover, experts assume that climate change will worsen the impact of allergies within the next decades. Therefore, it is essential to develop high quality methods and tools that can forecast allergenic pollen in the air to prevent sensitized against contact to high concentrations of aeroallergens. 

In this study we aim to develop a tool for prediction of pollen concentrations based on machine learning (ML) methods with the use of measured pollen concentrations and modelled meteorological parameters. We focus on the birch pollen, which is the most allergenic tree taxon in Central Europe. We use daily pollen concentration from Wrocław aerobiological station (south-west Poland) for years 2006 – 2022. Pollen grains were gathered with the use of the Burkard trap and counted following the recommendations of the International Association for Aerobiology. Meteorological data for the analysed period were provided with the Weather Research and Forecasting (WRF) model. We test different machine learning algorithms including: Random Forest,  xgBoost, Support Vector Regression (SVR) and Multilayer Perceptron (MLP). The algorithms are used to detect the days with pollen concentrations exceeding the threshold levels of 20, 75 and 90 pollen m-3, which correspond to the first symptoms, symptoms in all subjects and severe symptoms, respectively. 

For each ML algorithm, the whole data set was split into training and testing subsets in a proportion where the training set was ¾ of the data and the rest was the independent test set for the final model verification. Each model was checked during cross-validation for optimal hyperparameters. We test different parameters, including temporal variables and lagged predictors (e.g. pollen concentrations, air temperature, relative humidity, wind speed, solar radiation, planetary boundary height, rainfall – all derived with the mesoscale meteorological WRF model) to choose the most significant for prediction of pollen concentrations.  We also compare the performance of the different algorithms in terms of such error metrics as F1 score, ROC-AUC and PR-AUC. The results of the analysis will be applied to forecast pollen concentrations based on the automatic pollen detector, newly installed at the station, and weather forecasts. 

How to cite: Vovk, T., Kryza, M., Tomczyk, S., Malkiewicz, M., Lipiński, P., and Werner, M.: Prediction of airborne allergenic pollen concentrations with machine learning  , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9473, https://doi.org/10.5194/egusphere-egu24-9473, 2024.

X5.48
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EGU24-14697
Study on Dust Aerosols Influence on the Retrieval of Solar Radiation During Clear-Sky Periods in the Taklamakan Desert Based on the Accurate Radiative Transfer Model
(withdrawn after no-show)
Yonghang Chen, Yanbo Zang, Qiong Liu, Xin Wei, Bingke Zhao, Qing He, and Tianyi Gao
X5.49
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EGU24-16324
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ECS
Transport mechanisms of Asian dust aerosol to the Tibetan Plateau
(withdrawn)
Xinyi Zhang and Tianhe Wang
X5.50
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EGU24-21489
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ECS
Decadal Characterization of Satellite-based Aerosol Types Over Arabian Peninsula: Comprehensive Insight and General Performance
(withdrawn after no-show)
Alaa Mhawish, Ishaq Sulaymon, Platon Patlakas, Abdulrahman Maimani, Turki Alharbi, and Jumaan Alqahtani
X5.51
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EGU24-12736
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Highlight
Teruya Maki, Itaru Sano, Hiroki Mizuno, Martin Gallagher, Hao Zhang, Ian Crawford, Congbo Song, and David Topping

Dust events over East Asia carry bioaerosols, such as bacteria, fungi, pollen, and plant-animal cell debris, as well as mineral and sea salt. The long-distance dispersion of bioaerosols have possibilities to damage human health due to pathogenic diseases and allergy induction. The microbial communities and biological components in bioaerosols have been investigated using offline analysis, such as DNA sequencing and chromatograph mass-spectrometry, but the contrast of offline databases are insufficiently used for establishing of bioaerosol models offline with chemical and physical database.

Recently, wideband integrated bioaerosol sensors (WIBSs), which detecting autofluorescence emitted from amino acids, proteins, and coenzymes, is focused as online analysis of bioaerosols. However, during the WIBSs monitoring, the interference from other types of fluorescent particles (e.g. polycyclic aromatic hydrocarbons) hardly identify the biological molecular species in bioaerosols. Here, for identifying the bioaerosol composition detected by the WIBSs, the bioaerosol surveys during Asian dust events at Osaka city, Japan, were performed by combining online (WIBS) and offline (DNA-sequencing and microscopic observation) techniques. The comparisons between online and offline data revealed that some types of fluorescent spectrum can determine the concentrations of pollen and fungal cells, which vary in correspondence to dust events as well as seasonal changes and wind directions.

How to cite: Maki, T., Sano, I., Mizuno, H., Gallagher, M., Zhang, H., Crawford, I., Song, C., and Topping, D.: Variation in fluorescent biological aerosol particles over the urban area during Asian dust events, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12736, https://doi.org/10.5194/egusphere-egu24-12736, 2024.

X5.52
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EGU24-15716
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ECS
Kyriaki Papoutsidaki, Irini Tsiodra, Georgios Grivas, Aikaterini Bougiatioti, Konstantina Oikonomou, Faidra Aikaterini Kozonaki, Kalliopi Tavernaraki, Maria Tsagkaraki, Athanasios Nenes, Nikolaos Mihalopoulos, and Maria Kanakidou

Phosphorus (P) is a key macronutrient vital for all organisms, and it undergoes redistribution between terrestrial and oceanic systems through processes such as atmospheric emission, transport, transformation, and deposition. P is a limiting factor for primary productivity in the east Mediterranean Sea and the atmosphere is an important source of P for the marine ecosystems. Atmospheric P is present as both organic and inorganic species in dissolved and particulate forms and originates from both natural and anthropogenic sources. However, its sources remain uncertain since observational data show that the prevailing fraction of soluble, bioavailable, atmospheric P cannot be attributed to desert dust. Bioaerosols have been proposed as important carriers of nutrients and especially of bioavailable P to the marine ecosystems, potentially contributing to the missing sources of atmospheric P in the Mediterranean. In this study, a large number (234) of ambient PM2.5 24-h samples that were collected over a multi-yearlong sampling campaign (Dec. 2018 – Jul. 2021) conducted in Athens, one of the largest urban centres in south eastern Mediterranean, were analysed for total phosphorus (TP). In addition to P, chemical components, such as saccharides that are used as proxies of bioaerosols, but also organic carbon (OC), elemental carbon (EC), water-soluble OC, major inorganic anions and cations, elements of crustal origin and trace elements were determined. Preliminary results show the highest concentrations of TP and organic phosphorus (OP) in spring. Inorganic phosphorus exhibits similar levels throughout the seasons, with a small increase in spring. The observed concentrations of anhydro sugars were higher in winter and autumn than in summer due to biomass burning processes, while primary sugars and sugar alcohols indicative of bioaerosols increased throughout the growing season, peaking in spring as found also for total phosphorus concentrations. Positive Matrix Factorization analysis (PMF) is employed to identify the individual sources that affected the air samples and in particular P. Thus, the fraction of P in aerosols attributed to bioaerosol has been estimated. Aerosol sampling has been performed in the frame of the ERC PyroTRACH grant #726165. This work has been supported by the HFRI grant # 4050 BIOCAN.

How to cite: Papoutsidaki, K., Tsiodra, I., Grivas, G., Bougiatioti, A., Oikonomou, K., Kozonaki, F. A., Tavernaraki, K., Tsagkaraki, M., Nenes, A., Mihalopoulos, N., and Kanakidou, M.: Bioaerosol’s contribution to the atmospheric Phosphorus in Athens, Greece, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15716, https://doi.org/10.5194/egusphere-egu24-15716, 2024.

X5.53
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EGU24-5121
Bi Hongru, Chen Siyu, and Zhang Daizhou

Atmospheric dust from the North Africa, the largest and most persistently active dust source over the world, spreads widely in the Northern Hemisphere and plays essential roles in the Earth environment evolution. During June 7th-24th 2020, an extremely strong dust occurred with its westward spreading modulated by the North Atlantic Oscillation (NAO), and its eastward spreading regulated by European blocking, ultimately resulting in the circum-global transport of African dust. The Mediterranean low pressure linked to the European blocking dipole was the key to facilitating the eastward transport of dust. This record-breaking African dust episode caused a notable diurnal precipitation decrease of 0.98 mm day-1 over northeastern India and decrease of 1.55 mm day-1 over central North America, which was ascribed to the effect of dust-induced radiative heating on large-scale circulation. It triggered Rossby wave train and caused an anomalous high pressure over northeastern India, which weakened the India summer monsoon and consequently inhibited the occurrence of precipitation. Dust-induced radiative heating also supported the stability in the anomalous warm high over North America, further repressing import of moisture from Atlantic. Ambient moisture and atmospheric instability also presented consistent variation over North America and India characterized as strengthen descending motion and sharply reduced moist convection. This study reports, for the first time, the strong modulation of regional circulation by circum-globally transported African dust especially in Asia and North America. The new aspects on the unexpected consequences to moisture convection indicate broader roles that the dust may play in the global climate change.

How to cite: Hongru, B., Siyu, C., and Daizhou, Z.: The Circum-global Transport of Massive African Dust and its Impacts on the Regional Circulation in Remote Atmosphere, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5121, https://doi.org/10.5194/egusphere-egu24-5121, 2024.

X5.54
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EGU24-11309
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Highlight
Elena Gatta, Elena Abd El, Marco Brunoldi, Muhammad Irfan, Tommaso Isolabella, Dario Massabò, Federico Mazzei, Franco Parodi, Paolo Prati, and Virginia Vernocchi

Bioaerosol is generally defined as solid airborne particles of biological origin suspended in the gaseous medium ubiquitously with an aerodynamic diameter of up to 100 µm. They can either be naturally released from the biosphere to the atmosphere or are released due to human activities. Here, we present the results of several experiments, performed inside a confined and controlled artificial environment, such as the Atmospheric Simulation Chamber, providing valuable information on bio-aerosol viability, dispersion, and impact. At ChAMBRe (Chamber for Aerosol Modelling and Bio-aerosol Research), managed by INFN at the Physics Department of the University of Genoa, Italy, the research on bioaerosol is focused on the investigation of the airborne bacteria behavior in different atmospheric and air quality conditions (Massabò et al., 2018). A multi-step protocol was developed (Vernocchi et al, 2023) and thoroughly tested to cultivate a suitable bacteria population (E. coli, B. subtilis, B. licheniformis, and P. fluorescens). Then, bacteria are nebulized, and injected inside ChAMBRe, where they are exposed to different gas concentration values. The viability variation, due to the pollutant exposure inside ChAMBRe, was determined by monitoring the concentration of viable bacteria. The bacteria survival rate inside ChAMBRe is first evaluated by a set of baseline experiments (clean air condition) and successively exposing the bacterial strands to NO2 and NO concentration values up to 1200 ppb for both pollutants. A WIBS-NEO instrument measured bacteria total concentration inside ChAMBRe while the viable concentration was determined by active sampling on Petri dishes by an Andersen impactor and then counting the Colonies Forming Units (CFU). In addition, a liquid impinger was used to maintain the integrity of the microorganisms and their physiological state to investigate a sampling strategy to assess viability and simultaneously cultivability, taking into account the VBNC status (viable but not cultivable).  To this end, we present the results of impactor experiments and preliminary assessments with live and dead assays examined by fluorescence microscopy for quantitative and qualitative analysis.

References

Massabò, D., Danelli, S. G., Brotto, P., Comite, A., Costa, C., Di Cesare, A., Doussin, J. F., Ferraro, F., Formenti, P., Gatta, E., Negretti, L., Oliva, M., Parodi, F., Vezzulli, L., and Prati, P.: ChAMBRe: a new atmospheric simulation chamber for aerosol modelling and bio-aerosol research, Atmos. Meas. Tech., 11, 5885–5900, https://doi.org/10.5194/amt-11-5885-2018, 2018.

Vernocchi, V., Abd El, E., Brunoldi, M., Danelli, S. G., Gatta, E., Isolabella, T., Mazzei, F., Parodi, F., Prati, P., and Massabò, D. (2023) Atmos. Meas. Tech., 16, 5479–5493. https://doi.org/10.5194/amt-16-5479-2023, 2023.

How to cite: Gatta, E., Abd El, E., Brunoldi, M., Irfan, M., Isolabella, T., Massabò, D., Mazzei, F., Parodi, F., Prati, P., and Vernocchi, V.: Bioaerosol and Atmospheric Simulation Chamber: first studies on bacteria viability versus NOx concentrations., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11309, https://doi.org/10.5194/egusphere-egu24-11309, 2024.

X5.55
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EGU24-4599
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ECS
Qingqing Dong, Zhongwei Huang, Tian Zhou, Yufei Wang, Tianhe Wang, Jianrong Bi, Qiantao Liu, Zhengpeng Li, Wuren Li, Jinsen Shi, Ze Li, Wentao Liu, Zuorong Niu, and Xiaodong Song

Tajikistan is located in an arid and semi-arid region, with a dry climate and sparse precipitation and the sandstorms frequently occur in summer. The Shaartuz lidar site (68.0°E, 36.9°N, 274 masl) is located in a basin in southern Tajikistan. It is observed that the dust storms occur in this area are usually lifted to a height of 5-6 km above the ground, which is equivalent to the height of the Pamirs covered with ice and snow. With the effects of complex terrain, there is a possibility of the dust being transported to the Pamirs under the mid-latitude westerly belt. In this work, the two lidar systems located in Shaartuz and Taxian (75.2°E, 37.8°N, 3087 masl) which is in the southeast of the Pamirs are utilized to study the dust event in summer. The significant variations of dust optical properties and vertical distribution can be captured by the two lidar system during June 11th to 15th, 2023. The backward trajectory model and satellite observation are used to verify the transport path of the dust event. WRF-Chem also successfully simulated the transport process of the dust event, and analyzed the spatiotemporal evolution characteristics and the dust effects. These results will help us explore the characteristics of central Asian dust transboundary transport toward Pamirs and its regional climate effects.

How to cite: Dong, Q., Huang, Z., Zhou, T., Wang, Y., Wang, T., Bi, J., Liu, Q., Li, Z., Li, W., Shi, J., Li, Z., Liu, W., Niu, Z., and Song, X.: Transboundary transport of central Asian dust to the Pamirs: measurements and modeling, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4599, https://doi.org/10.5194/egusphere-egu24-4599, 2024.

X5.56
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EGU24-2712
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ECS
Shuang Zhang and Müller Detlef

In this paper, long-term temporal and spatial distribution characteristics of aerosols in arid and semi-arid regions of Eurasia (30° N - 60° N, 25° E - 90° E) from 2001 to 2021 were studied by combining Moderate−resolution Imaging Spectroradiometer (MODIS), Cloud−Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) (2007-2021) and Ozone Monitoring Instrument (OMI) observations.  Aerosol types over Eurasia were studied based on aerosol optical depth (AOD), Ångström exponent (AE), and aerosol single scattering albedo (SSA). The results show that the average AOD (obtained from MODIS) is high in the Taklimakan, Tar, Kizikom, and Syria deserts. Seasonal aerosol concentrations in Xinjiang, Iraq, Iran, Kazakhstan, Uzbekistan, and Turkmenistan were the highest in spring, the second-highest in summer, and the lowest in autumn and winter. Clean marine and mixed aerosols are the primary aerosol types in the Eurasia. The relative contribution of meteorological factors to dust optical depth (DOD) and its long-term variation have been quantified by stepwise regression model. The model results show that the contribution of humidity at 500 hPa (H500) to the change of DOD is 28%, the contribution of wind speed (WS) to the change of DOD is 19%, and the contribution of temperature (T) to the change of DOD is 12%.  The spatial distribution of the correlation coefficient between DOD and meteorological factors is higher under the bare surface compared to complex terrain. This result highlights the sensibility of meteorological factors on the distribution of DOD in the desert. The results presented in is paper are helpful for understanding the interaction between DOD and meteorological factors.

© 2014 xxxxxxxx. Hosting by Elsevier B.V. All rights reserved.

How to cite: Zhang, S. and Detlef, M.: Distribution of aerosol optical depth and possible factors influencing dust optical depth over arid and semi−arid Eurasia, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2712, https://doi.org/10.5194/egusphere-egu24-2712, 2024.

X5.57
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EGU24-2273
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Highlight
Yun He, Dongzhe Jing, Fuchao Liu, and Zhenping Yin

East Asian desert is one of the most important dust sources that contribute approximately ~40% of the global annual dust emissions and ~88% of the dust over mainland China and adjacent seas, significantly impacting the regional environment and climate. In the past decade, the frequency of dust storm outbreaks has largely declined in the sources of Asian dust due to the improvement of natural conditions (i.e., weakened surface wind speed, enhanced precipitation, and soil water) and the promotion of vegetation cover caused by afforestation in North China. However, it is still rarely reported how the dust properties after long-range transport in the downstream regions respond to this downtrend. During 2010-2020, we have been conducting routine monitoring of height-resolved dust aerosols with a ground-based polarization lidar in Wuhan (30.5°N, 114.4°E), a mega city in central China. The dust optical depths (DOD) have decreased by 0.011 per year, accounting for ~22% of the decrease rate for local aerosol optical depths (AOD). The dust mass concentration and columnar mass density also have declined by 2.03 μg·m-3 and 1.97 mg·m-2 per year, respectively. During spring and winter, a mass of long-range transported dust plumes intrude into Wuhan, with seasonal mean DOD of 0.21 and 0.15, respectively. Dust aerosols in winter are generally located at lower altitudes than in spring, concentrating mainly below 1.0 km. Wintertime dust shows a slightly smaller particle depolarization ratio than spring (0.11 versus 0.14), indicating a weakened nonspherical shape caused by high-level moisture/polluted conditions during winter. The surface PM10 concentration presents a downtrend with a rate of -8.0 μg·m-3·yr-1. This study provides the climatology of dust properties over central China, supplementing our understanding of the feedback in the downstream regions to the reduction of dust emissions in the East Asia desert.

How to cite: He, Y., Jing, D., Liu, F., and Yin, Z.: Declining trend of dust aerosols over central China observed with polarization lidar during 2010-2020, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2273, https://doi.org/10.5194/egusphere-egu24-2273, 2024.

X5.58
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EGU24-1412
Ashok Kumar Pokharel and Ashok Pokharel

A study of the dust emission, transport, and deposition is very important for understanding of the various health and social impacts on the local human population, biogeochemical cycle, and the global environmental change. The entry of dust into the atmosphere results from the occurrence of different scales of dust storms resulting from the multi-scale atmospheric processes ranging from the synoptic to near meso-scales of atmospheric motion. In this context, to find the causes of severe dust storms that occurred in the past over north-west Africa, central-north Africa, and Middle east we did a research work. In that study, significant roles of mountains (e.g., Atlas Mountains, Tibesti Mountains, and Sarwat Mountains) were found. For instances, there were a cross mountain flows that produced a leeside inversion layer, which facilitated for the imbalance of the exit region of the jet streak, prior to the large-scale dust storm; generation of terrain (i.e., mountains)-induced downslope winds in response to the transition of the atmospheric flow from a subcritical to supercritical state leading to dust storms; and generation of Kelvin waves supported by the mountains that were responsible for organizing the dust storms and wide distribution and transportation of dust away from the mountains. Regarding this, it is also hypothesized here that similar kinds of roles of mountains are also found in other geographical regions of the world, such as West/North/Northwest China and Mongolia where dust storms occur in the lee of the mountains, (i.e., Tien Shan/ Gobi Altai Mountains/ Khangai Mountains) and involve the long-range transport of atmospheric particulate matter originating from dryland areas. Such events are affecting large numbers of people and their environment especially in spring season because East Asia is the one of the most densely populated areas of the world. In this scenario, these kinds of studies will also be beneficial for analyses of roles of the synoptic features, and identification of their dynamical characteristics are important for evaluating different synoptic dust regimes and their development. So, for the current study, based on the severity of dust storms some cases of dust storms, which occurred in the lee of the respective mountains of China and Mongolia in the past, are considered.

Keywords: Mountains, Dust Storms, Jet streak, Atmosphere

How to cite: Pokharel, A. K. and Pokharel, A.: Roles of Mountains in Dust Storms , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1412, https://doi.org/10.5194/egusphere-egu24-1412, 2024.