Thursday, February 20, 2025

 

A special collection to highlight recent advances in air pollution complex research in China



Institute of Atmospheric Physics, Chinese Academy of Sciences
Air pollution complex 

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The important characteristics of an “air pollution complex” include the interactions between physical and chemical processes at different scales, as well as the feedback and nonlinearity of chemical reaction kinetics. Recent scientific advances, supported by a major research program funded by the National Natural Science Foundation of China, have enabled the establishment of a theoretical framework for the air pollution complex phenomenon, and provide robust scientific support in the development of highly successful air pollution control policies in China. This special issue showcases some recent representative studies funded by this research program, including instrument development, field measurements, laboratory and modeling work, and dataset and data center development.

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Credit: Advances in Atmospheric Sciences




Air pollution is a global environmental problem with serious impacts on human health, climate change, and ecological systems. In China, rapid development in the last several decades has led to a drastic increase in coal consumption and the number of vehicles. As a result, air pollution in China is complicated by the coexistence of high concentrations of primary and secondary trace gases and aerosol particles from multiple sources.

 

Air pollution complex is a term used to characterize the formation mechanisms of air pollution, and was first proposed by Professor Xiaoyan Tang in 1997. A better understanding of these complex mechanisms is critical for meeting the urgent societal need to reduce air pollution in China as quickly as possible. To meet these challenges, the National Natural Science Foundation of China (NSFC) initiated a major research program, entitled “Fundamental Researches on the Formation and Response Mechanism of Air Pollution Complex in China.” The program, which ran from 2016 to 2023, funded 76 projects with 250 million RMB in total.

 

Through the NSFC program's 76 projects, scientists have achieved tremendous advances in air pollution research. To raise awareness of air pollution complex, the journal Advances in Atmospheric Sciences recently published a special issue on the topic. “The research programs funded by the Chinese government at different levels have provided solid scientific support to the air pollution control policies in China, and led to the fastest reduction in air pollution in the history,” said Tong Zhu, professor at Peking University, the leading scientist of the NSFC program, and one of the guest editors of the special topic. The issue consists of eight articles highlighting some of the most recent research advances related to air pollution complex.

 

“Air pollution and climate change are closed linked. They are caused by the change of atmospheric components, and interact with each other with the change of radiation, planetary boundary layer height, atmospheric circulation, and cloud formation. Coordinated efforts should be made to reduce air pollution, mitigate climate change, and maximize the health benefits of these efforts,” said Zhu. “The scientific knowledge, methods, tools, and data obtained by Chinese scientists about air pollution and science-based control polices need to be shared with global community, especially with Global South countries suffering from severe air pollution.”

 

The articles, contributed by scientists from Chinese universities and research institutions, feature different aspects of air pollution complex research, ranging from instrument development to modeling studies:

 

Development and Application of Cavity-based Absorption Spectroscopy in Atmospheric Chemistry: Recent Progress,” by Weixiong Zhao and coauthors, is a review focused on instrument development. The review covers cavity-based absorption spectroscopy techniques and their applications in atmospheric chemistry. Cavity-based absorption spectroscopy uses a high-fineness cavity to achieve a very long absorption path-length and ultra-high sensitivity. This paper helps promote communication in the fields of laser spectroscopy and atmospheric chemistry. The authors overview recent key advances in cavity-based absorption spectroscopy, review their application in trace gases detection, and outline future directions for instrument development.

 

The Influence of Heterogeneous Processes on the Physicochemical Properties of Atmospheric Aerosols,” written by Maofa Ge and coauthors, reviews recent advances related to the impact of heterogeneous processes on haze chemistry, including the impact on NO2 chemistry, marine aerosols, and the physiochemical properties of atmospheric aerosols. Heterogeneous reactions play a critical role in the formation of air pollution complexes in China. The paper focuses on new insights from the past five years and proposes future research directions.

 

Highly Oxidized Molecules Make a Significant Contribution to Enhanced Aromatic-Derived Secondary Organic Aerosol under a Humid Environment” examines the role relative humidity plays in aromatic secondary organic aerosol formation. Enhanced mass concentrations of aromatic-derived secondary organic aerosol are frequently observed during humid-haze events. However, scientists have not fully understood the influencing mechanism of relative humidity in these events till now. This paper by Zhaomin Yang and coauthors is helpful for a better understanding of humid-haze events.

 

Compositions and distributions of secondary organic aerosols and their tracers over the Pearl River Estuary region influenced by continental and marine air masses,” written by Zhenhao Ling and coauthors, explores secondary organic aerosol tracers in the Pearl River Estuary in the winter of 2021. Using the tracer-based method and simulations, they estimated the contribution of key volatile organic compounds to secondary organic aerosols. Their findings improve the understanding of the distributions of secondary organic aerosols and their tracers in different air masses at this site, and highlight the fact that the abundance of secondary organic aerosols over the Pearl River Estuary region is mainly related to precursors and already-formed secondary organic aerosols transported from upwind continental areas. 

 

Elucidating Secondary Organic Aerosol Processes through High-Resolution Aerosol Mass Spectrometry in Beijing” focuses on a new method to investigate secondary organic aerosol formation in Beijing. Written by Weiqi Xu and coauthors, the work focuses on the critical role of photochemical processes in the formation of sulfur-enriched organic aerosols relative to nitrogen-enriched organic aerosols. The authors emphasize the need to integrate these processes into atmospheric models for more accurate predictions of aerosol composition. Their findings are valuable for devising effective pollution mitigation strategies, particularly in regions with high levels of biomass burning and fossil fuel combustion. 

 

Effectiveness of precursor emission reductions for the control of summertime ozone and PM2.5 in the Beijing–Tianjin–Hebei Region under different meteorological conditions.” written by Jing Qian and Hong Liao, used ozone and PM2.5  observations, reanalyzed meteorological data, and GEOSChem simulations, to examine the relationships between ozone and PM2.5 concentrations and temperature or relative humidity over Beijing–Tianjin–Hebei in the summer of 2019. They investigated the effectiveness of emissions reduction and discovered that the ozone decrease due to precursor emission reductions was more sensitive to temperature, while the decrease in PM2.5 was more sensitive to relative humidity. As a result, reducing precursor emissions will be more effective in controlling the co-pollution of ozone and PM2.5 during hot and humid conditions. These results are helpful for framing effective policies to reduce ozone and PM2.5 pollution in Beijing–Tianjin–Hebei.

 

High-resolution simulation dataset of hourly PM2.5 chemical composition in China (CAQRA-aerosol) from 2013 to 2020,” written by Lei Kong and coauthors, focused on the development of a PM2.5 chemical composition dataset in China called CAQRA-aerosol. The researchers used the Nested Air Quality Prediction Modeling System with an updated inorganic aerosol module and a new inversed emission inventory. The CAQRA-aerosol dataset includes five aerosol components (organic carbon, black carbon, ammonium, nitrate, and sulfate). It currently provides data from 2013 to 2020, and will be renewed annually. This new dataset achieves much better accuracy than previous datasets. The temporal resolution is also higher than previous datasets, meaning it could provide more detailed information on the concentrations of PM2.5 components.

 

A newly established air pollution data center in China,” highlights the China Air Pollution Data Center, the first comprehensive data center on air pollution research in China. Written by Mei Zheng and coauthors, this paper focuses on the Data Center with its 258 datasets and 15 technical reports. This data, classified into eight categories, includes emission inventories, chemical reanalysis, field measurements, satellite observations, laboratory work, source profiles, new technology, and online source appointment technology. The bilingual data platform is accessible in Chinese and English versions.

Macrophages express high level of Spp1, linking the environmental particle pollution exposure and the development of emphysema - an important finding for COPD




Sichuan International Medical Exchange and Promotion Association
Environmental particle pollution exposure contributes to chronic lung disease development 

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In the lungs of COPD patients, SPP1 is significantly upregulated. Experimentally, carbonaceous particles, which are related to environmental particle pollution, can cause the accumulation of SPP1+ macrophages in the lung, and the induction of SPP1 is correlated with the development of emphysema, and serves as a protective target for COPD. Created in BioRender. Han, L. (2025) https://BioRender.com/r05h029

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Credit: Author Lianyong Han




This study is led by Dr. Lianyong Han and Dr. Tobias Stoeger in Germany (Institute of Lung Health and Immunity (LHI), Comprehensive Pneumology Center (CPC), Helmholtz Zentrum München, German Research Center for Environmental Health).

By analyzing multiple emphysema and COPD patient datasets, SPP1 is significantly upregulated in the lungs of patients, compared to healthy individuals. “These findings pointed out the clinical relevance of SPP1 induction during COPD development and has motivated us to understand their contributions in depth,” Dr. Han says.

In an experimental COPD model, Dr. Han has identified a sub-population of macrophages in the lung expressing high level of Spp1, and long-term cigarette smoking exposure caused persistent induction of Spp1 up to 6 months in these macrophages (Spp1+ macrophages). This finding is supported by advanced high-throughput single-cell RNA sequencing technique.

Similar to cigarette smoking, soot-like carbonaceous particles also caused long-term induction of Spp1, as well as the release of Osteopontin (OPN), a protein encoded by Spp1. “Consistently, OPN is also localized in macrophages in the lung, as revealed by our immunohistochemical staining,” Dr. Han says.

In a previous study from the same team, scientists found in a “second-hit model”, repeated carbonaceous particle exposure of gammaherpesvirus-infected mice caused lung emphysema. A further analysis by the team found a correlation between Spp1 induction and emphysema, subsequently highlighting the contribution of SPP1 to the development of air pollution-related COPD.

“Over 90% of the global population is still living in areas where air pollution levels exceed WHO guidelines of 10 μg/m3 for PM2.5, this is further aggravated by occupational exposure,” Dr. Stoeger says. Thus, the persistent particle challenges in the real-world pose long-term damage and injury to the lung, which finally contributes to the development of chronic lung diseases.

This study reveals a crucial mediator to environmental particle pollution-related chronic lung disease development and provides a potential preventive target.

 

See the article here:

Carbonaceous particle exposure triggered accumulation of Osteopontin/SPP1+ macrophages contributes to emphysema development

DOI: https://doi.org/10.1002/mco2.70061

 

Fog harvesting’ could yield water for drinking and agriculture in the world’s driest regions



A field study spanning a year showed that water collected from fog could ease water scarcity affecting vulnerable populations living in Chile’s Atacama Desert




Frontiers

Alto Hospicio 

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Panoramic view of Alto Hospicio, located in Chile's Atacama desert, one of the driest places in the world. Credit: Dr Virginia Carter Gamberini.

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Credit: Dr Virginia Carter Gamberini.




With less annual rainfall than 1 mm per year, Chile’s Atacama Desert is one of the driest places in the world. The main water source of cities in the region are underground rock layers that contain water-filled pore spaces which last recharged between 17,000 and 10,000 years ago.

Now, local researchers have assessed if ‘fog harvesting,’ a method where fog water is collected and saved, is a feasible way to provide the residents of informal settlements with much needed water.

“This research represents a notable shift in the perception of fog water use—from a rural, rather small-scale solution to a practical water resource for cities,” said Dr Virginia Carter Gamberini, an assistant professor at Universidad Mayor and first co-author of the Frontiers in Environmental Science study. “Our findings demonstrate that fog can serve as a complementary urban water supply in drylands where climate change exacerbates water shortages.”

Catching moisture

Fog collectors typically consist of a mesh suspended between two posts. The mesh serves as an interception surface to catch moisture. Droplets collate on the mesh and fall into a gutter leading to water storage tanks. It’s a passive system that requires no external energy.

The researchers conducted a year-long field study in Alto Hospicio, a fast-growing municipality located in the hyper-arid Atacama Desert. Because of the city’s rapid growth, approximately 10,000 people live in informal settlements. Only 1.6% of these settlements are connected to water distribution networks and most inhabitants receive water via trucks. “The collection and use of water, especially from non-conventional sources such as fog water, represents a key opportunity to improve the quality of life of inhabitants,” Carter said.

The researchers found that in a 100 square kilometer area surrounding Alto Hospicio, between 0.2 and 5 liters of fog water could be harvested per square meter each day. This potential, however, is confined to the higher lying altitudes outside of the city’s limits. During the study’s peak season, in August and September of 2024, collection potential reached up to 10 liters per square meter and day.

“By showcasing its potential in Alto Hospicio, one of Chile’s most stigmatized yet rapidly urbanizing cities, this study lays the groundwork for broader adoption in other water-scarce urban areas,” said Nathalie Verbrugghe, a researcher at Université libre de Bruxelles and first co-author of the article. Fog harvesting, however, should not be seen as the sole solution to water scarcity but as part of a broader urban water management strategy, the researchers said.

Easing water shortages in urban areas

The collected water could be used for drinking, irrigation of green spaces, and local food production. However, large storage systems, piping infrastructure, and ways of distribution would be necessary, the researchers said.

Based on an annual average water collection rate of 2.5 liters per square meter per day, the researchers said that 17,000 square meters of mesh could produce enough water to meet the weekly water demand (300,000 liters) for urban slums. 110 square meters could meet the annual demand for the irrigation of the city’s green spaces (100,000 liters). Similarly, fog water could be used for soil-free agriculture, with yields of 15 to 20kg of leafy green vegetables in a month.

For the same to work in other places, the geographic and atmospheric conditions need to be just right. “Key prerequisites include fog density, suitable wind patterns, and well-oriented elevated landforms. Additionally, since fog is seasonal in many regions, this variability should be considered,” said Verbrugghe. Future research will also need to evaluate the feasibility of fog harvesting in larger settlements.  

“We hope to encourage policymakers to integrate this renewable source into national water strategies,” concluded Carter. “This could enhance urban resilience to climate change and rapid urbanization while improving access to clean water.”

 

Closing the recycle loop: Waste-derived nutrients in liquid fertilizer



Replacing chemical phosphorus and nitrogen with sustainable sources



Osaka Metropolitan University

Producing phosphorus with organic matter 

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Soluble phosphorus extracted from waste products is possible with a new method.

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Credit: Osaka Metropolitan University




Growing plants can be a joyous, yet frustrating process as plants require a delicate balance of nutrients, sun, and water to be productive. 

Phosphorus and nitrogen, which are essential for plant growth, are often supplemented by chemical fertilizers to assure proper balance and output of produce. However, the amount of these nutrients on the planet is increasing due to excessive use, which in turn is causing various environmental problems. For this reason, there is a growing movement to promote sustainable agriculture through the recycling of phosphorus and nitrogen. In Japan, a target has been set to reduce the use of chemical fertilizers by 30% by 2050.

With this in mind, a research group led by Ryosuke Endo, a lecturer, and graduate student Satoru Sakuma at Osaka Metropolitan University’s Graduate School of Agriculture conducted an experiment on producing recycled liquid fertilizer from organic waste as a replacement for chemical fertilizers. Using food waste, manure, and sewer sludge, the researchers filled nitrification reactors with organic waste and tap water, then extracted nitrified biogas digestate (f-NBD) to use as seed culture. The phosphorus and nitrogen outputs from each type of organic waste were compared. This experimental method produced nutrient solutions capable of replacing unsustainable chemical phosphorous and nitrogen.

Additionally, the researchers have established an improved method that increases phosphorus solubility, as phosphorus often fails to dissolve during traditional fertilizer production methods. By lowering the pH of the waste-derived liquid fertilizer, the phosphorus will dissolve and produce high phosphorus content, before the pH is restored to its original level.

“This research suggests that it is possible to replace up to 100% of the nitrogen and up to 77% of the phosphorus in liquid chemical fertilizers with the solution produced in this study,” stated graduate student Sakuma.

“Reducing the use of chemical fertilizers has become a global trend,” Dr. Endo added, “but hydroponic agricultural systems are highly dependent on them. By applying the results of this research and reusing the phosphorus contained in organic waste as liquid fertilizer, we hope that this will lead to the development of recycling-oriented agriculture.”

These findings were published in Chemosphere.

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About OMU 

Established in Osaka as one of the largest public universities in Japan, Osaka Metropolitan University is committed to shaping the future of society through “Convergence of Knowledge” and the promotion of world-class research. For more research news, visit https://www.omu.ac.jp/en/ and follow us on social media: XFacebookInstagramLinkedIn.

 

vmTracking enables highly accurate multi-animal pose tracking in crowded environments



Researchers develop Virtual Marker Tracking (vmTracking) to study the movement patterns of multiple animals in crowded spaces




Doshisha University

vmTracking enables accurate identification in crowded environments 

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Conventional markerless tracking methods struggle with body part misestimations or missing estimates in crowded spaces. In vmTracking, markerless multi-animal tracking is performed on a video containing multiple individuals. The resulting tracking output may not always be fully accurate. However, since some of these markers are extracted and used as virtual markers for individual identification, high overall accuracy at this stage is not required. By applying single-animal DeepLabCut to the generated virtual marker video, more accurate pose-tracking results can be obtained compared to conventional methods.

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Credit: Hirotsugu Azechi from Doshisha University, Japan




Studying the social behavior of animals in their natural environments is necessary for advancing our understanding of neurological processes. To achieve this, tracking multiple individuals simultaneously and accurately as they interact in shared spaces is crucial. Traditional multi-animal tracking systems, such as multi-animal DeepLabCut (maDLC) and Social LEAP Estimates Animal Poses (SLEAP), use frame-by-frame identification to predict movements without the need for markers. While these tools effectively track poses, such as head direction, in simple scenarios, they become ineffective in crowded environments where animals cluster or obscure each other.

To address these challenges, Research Assistant Professor Hirotsugu Azechi and Professor Susumu Takahashi from the Graduate School of Brain Science, Doshisha University, Japan, developed a method called ‘Virtual Marker Tracking’ (vmTracking) that assigns virtual markers to the markerless animal video subjects to enable consistent identification, which is then used for posture tracking without relying on physical markers. Their groundbreaking work on the vmTracking system was published online in the prestigious PLOS Biology journal on February 10, 2025. Previously, it was possible to track multiple visually distinguishable animals, like black and white mice, using single-animal DLC (saDLC). The concept of vmTracking evolved from this idea: it would be possible to track visually indistinguishable animals if they could be assigned virtual identities using markers. Dr. Azechi explains the process, “For this purpose, we decided to use the labels obtained from conventional multi-animal pose tracking as "virtual" markers, which facilitated the tracking of multiple animal poses while keeping the animals markerless in reality. Thus, in vmTracking, two consecutive tracking processes were conducted for different purposes: assigning virtual markers and tracking those markers.”

The first step in vmTracking is to track the multiple animals and create an output file with the tracking results. Using this video, consistent virtual markers were assigned to individual animals for accurate identification frame by frame. Then, using a single-animal pose tracking tool like saDLC, videos of multiple virtually marked animals were analyzed. To evaluate its ability to track individuals in low-contrast environments, vmTracking was applied to track black mice against a black background.  Even under conditions where occlusion and crowding can hinder individual identification, vmT-DLC (integration of vmTracking with DLC) outperformed maDLC in terms of matches and generally improved pose tracking accuracy as the identification match rate increased. Furthermore, when black mice were tracked against a white background, vmTracking significantly outperformed maDLC in matches and demonstrated tracking accuracy beyond the precision of virtual markers, even in occluded and crowded spaces. “vmTracking minimized manual corrections and annotation frames needed for training, efficiently tackling occlusion and crowding,” elaborates Dr. Azechi on the outcomes of their experiments with the vmTracking system.

To demonstrate the applicability of vmTracking across species, the researchers conducted tracking experiments with a school of 10 fish. Using vmT-DLC, the target match rate and predicted match rate exceeded 99%, proving highly accurate pose tracking of fish schools. These experiments were extended to tracking the coordinated poses and movements of human dancers, yielding similar high-accuracy results. “This suggests vmTracking’s potential application in human scenarios such as sports analysis, including highly dynamic contact sports like soccer and basketball, where player interactions are frequent,” explains Dr. Azechi, emphasizing the versatility and real-world potential of their tracking system.

This study demonstrates that by applying virtual markers to videos of markerless animals, accurate and efficient tracking is possible even in complex and crowded environments. vmTracking simplifies the tracking process, significantly reducing reliance on manual annotation and training, making it more user-friendly for practical applications. It helps overcome tracking errors in crowded environments, enhancing collective behavior research accuracy. “Overall, vmTracking is a robust alternative to traditional tracking methods and a useful tool in the study of animal behavior, ecology, and related fields. It provides an effective and efficient solution to some of the most persistent challenges in multi-animal pose tracking, with a focus on delivering accurate and reliable tracking outcomes essential for research,” concludes Dr. Azechi.

Further research on how factors such as the number, color, size, and position of virtual markers affect vmTracking’s accuracy will help refine this method and open possibilities for a deeper understanding of herd dynamics and social behavior.


About Assistant Professor Hirotsugu Azechi from Doshisha University, Japan
Dr. Hirotsugu Azechi is a Research Assistant Professor at the Graduate School of Brain Sciences, Doshisha University, Japan. He has been a research assistant at the Organization for Research Initiatives and Development, Doshisha University, and the Center for Information and Neural Networks, National Institute of Information and Communications Technology. He has extensive academic research experience at multiple universities, including Osaka University and Tezukayama University, and was a postdoctoral fellow at the Brain Research Institute, Department of Cellular Neurobiology, Niigata University. He has published over 40 research papers in the fields of neuroscience, physiology, behavioral sciences, and experimental psychology.

Funding information
This work was supported by the Japan Society for the Promotion of Science (JSPS) (JP24K15711 and JP21H04247 to HA, and JP23H00502 and JP21H05296 to ST) and by Core Research for Evolutional Science and Technology (CREST) under the Japan Science and Technology Agency (JST) (JPMJCR23P2 to ST).

Media contact:
Organization for Research Initiatives & Development
Doshisha University
Kyotanabe, Kyoto 610-0394, JAPAN
E-mail: jt-ura@mail.doshisha.ac.jp