Examining Air Quality Research Articles

The Emission Balance of Selected Groups of Fuels Used in Households to Generate Pollution in the Małopolskie Voivodeship

This article presents an analysis of the relationship between air pollution and the type of fuel used in households in the Małopolskie Voivodeship from 2010 to 2021. For this article, they are marked as HEU-C (coal), HEU-L (liquid), and HEU-O (other). The analysis area was selected due to the constantly occurring problem of air pollution with PM10 and PM2.5. Using regression, the relationships between energy consumption in households and specific components of air pollution recorded in the Małopolskie region were established. The developed models were used to determine the potential of individual groups of fuels to generate pollution. The primary finding suggests that the derived regression models offer an appropriate predictive framework. Studies show significant reductions in pollutants like BbF, Cd, Pb, and PM2.5. Increasing the use of HEU-O fuel is key to cleaner air in the Małopolskie Voivodeship. However, HEU-O may emit more NOx and NO2 than HEU-C. The selected thematic emphasis differentiates this article from others examining air quality issues within the Małopolskie Voivodeship.

Extreme Heat and Air Quality: Community Leader Perspectives on Information Barriers and Opportunities in Two Environmental Justice Communities.

Extreme heat and air pollution exposure are leading causes of adverse cardiorespiratory health outcomes. Exposure reduction strategies are often focused at the local level. This study examined critical challenges community leaders face in understanding and sharing environmental exposure and health information. We conducted interviews with 19 community leaders of two urban environmental justice communities in Massachusetts, United States. Using directed content analysis, we examined air quality and heat perceptions, information and data resources, and barriers to understanding and communicating relevant local information. Participants shared concerns about both poor air quality and extreme heat. They also expressed the opinion that exposure risk information about these topics is siloed; heat and air quality data can be hard to access, interpret, and effectively communicate with community members. Solutions recommended by participants included community engagement, open-data portals, and creative science communication. Increasing sustainable collaborations among academic, government, healthcare, and nonprofit sectors is recommended.

Air quality disparities and respiratory health risks in critically polluted and relatively non-polluted areas: a prospective child health study.

Air pollution, a significant global health concern, notably impacts human well-being. Children, owing to their distinctive physiology and behavior, are particularly susceptible to its adverse effects. This prospective study examines air quality variations and respiratory risks in children residing in critically polluted areas (CPA) compared to relatively non-polluted areas (NPA), utilizing a prospective design to understand the impacts of air pollution on children's respiratory health, including measures like relative risk (RR) and attributable risk (AR). This prospective study tracked 739 students of 5th- 7th grade residing in CPA and NPA for one year, and measured the ambient and indoor air quality levels in both these areas. Throughout the study, based on the observed respiratory symptoms new episodes of upper and lower respiratory tract illnesses were recorded for each child on a weekly basis. Incidence rate, RR and AR for both the illnesses were compared. Statistical analysis was performed with SPSS 26.0. The study observes higher concentration for particulate matter and gaseous pollutants at CPA in comparison to NPA. Children living in CPA exhibited a notably greater weekly occurrence of both upper and lower respiratory tract illnesses compared to those in NPA, with RR of 1.26 (95% CI: 1.16-1.37) and 1.74 (95% CI: 1.34-2.27), respectively. The AR associated with air pollution for upper and lower respiratory tract illnesses among CPA students was found to be 20.7% and 42.7%, respectively. This research underscores the pressing need to address air pollution in critically polluted areas and its profound effects on children's respiratory health. Public health interventions, such as reducing emissions from industries and creating green spaces, should be prioritized. Furthermore, early respiratory health screening in schools within polluted areas could aid in the timely diagnosis and management of respiratory issues in children.

Is It Possible to Breathe Fresh Air in Health Resorts? A Five-Year Seasonal Evaluation of Benzo(a)pyrene Levels and Health Risk Assessment of Polish Resorts

This study examines air quality in Polish health resorts (HR) and its potential health risks, challenging the belief that these environments always provide safe air for recovery. Over five years, air quality was evaluated by measuring concentrations of PM10 and benzo(a)pyrene (B(a)P) in seven resorts with varying environmental conditions. Using data from 3781 daily samples, both non-carcinogenic and carcinogenic risks were assessed for visitors (various age groups) and employees to determine health risks from prolonged exposure. The findings show frequent exceedances of national B(a)P limits, with some resorts, such as HR2 in Rabka-Zdrój and HR3 in Polanica-Zdrój, surpassing permissible levels by up to 320% and 373%, especially in winter. Non-carcinogenic risks exceeded safe limits by up to 40% for visitors in HR2 and 18% for employees in HR6 (Szczawno-Zdrój). Carcinogenic risks were up to 3.74 times higher than acceptable levels for visitors in HR2 and 3.15 times higher for employees in HR5 (Latoszyn), indicating a continuous risk from long-term exposure. These findings underscore the urgent need for measures to improve air quality in HRs. Given the global implications, similar risks could affect resorts worldwide. Therefore, future research should focus on cross-border studies and innovative strategies to manage pollution and protect health.

Air pollution from unconventional oil and gas development in the Eagle Ford Shale

Unconventional oil and gas development (UOGD) has experienced substantial growth in recent years with currently unconstrained impacts on air quality. In this work, we describe ambient aerosol and gas-phase measurements during spring 2021 to examine air quality in the Eagle Ford Shale (EFS), a region in southeast Texas with thousands of UOGD wells. NOx, O3, H2S, PM1, and several VOCs were measured at concentrations above expected levels for non-urban regions. Hydrocarbon measurements from gas chromatography (GC) and proton transfer reaction (PTR) mass spectrometry show periodic high concentrations of variable compositions consisting of both saturated and unsaturated (polycyclic and/or aromatic) hydrocarbons, including larger (C > 10) unsaturated hydrocarbons that are often not quantified by GC measurements but are still present at substantial concentrations and relevant for air quality. Hydrocarbon VOCs are expected pollutants from anthropogenic activity and, based on ratios of i-pentane to n-pentane, xylene to benzene, and toluene to benzene, measured VOC ratios were characteristic of UOGD activity. Wind data and back-trajectory analyses show that air predominantly arrived from the S/SE, consistent with UOGD sources as well as shipping emissions from the Gulf of Mexico impacting air quality in the EFS. Analysis of diurnal trends at the site show hydrocarbon and NOx accumulation overnight and highlight diurnal differences in oxidative conditions, with important implications for both SOA and O3 formation. UOGD emissions impact the air quality in Karnes City and more broadly the EFS as well as the nearby urban area of San Antonio, which struggles to meet national air quality standards set by the Environmental Protection Agency.

COMPARATIVE ANALYSIS OF AIR QUALITY IN THE NORTHERN AND SOUTHERN DISTRICTS OF KARAKALPAKSTAN

Karakalpakstan, a region in northwest Uzbekistan, is known for its unique culture and ecological challenges due to its arid climate and industrial activities. Air quality in the region is a growing concern, as pollution from various sources poses risks to public health and the environment. This article aims to provide a comparative analysis of air quality in the Northern and Southern districts of Karakalpakstan, highlighting differences in pollutant levels and potential factors contributing to these variations. By examining air quality in these two distinct regions, we can better understand the impact of industrial, traffic, and natural sources of pollution on the local environment and explore potential solutions to improve air quality for residents in Karakalpakstan.

Unveiling the Air Quality Impacts of Municipal Solid Waste Disposal: An Integrative Study of On-Site Measurements and Community Perceptions

This study examines air quality conditions in and around a classroom located in the Sarıçam/Adana region of Türkiye, near the campus of Adana Alparslan Türkeş Science and Technology University and the Sofulu municipal solid waste (MSW) facility. This academic setting was strategically chosen due to its proximity to the waste facility. The study aims to provide a comprehensive view of the environmental and social impacts of solid waste management through a methodological approach that combines quantitative on-site measurements and qualitative survey studies. Findings from measurements and surveys underline the significant and measurable impacts of MSW facilities on the ambient air quality of university residents. The analysis revealed a marked increase in concentrations of key pollutants, including carbon monoxide (CO), hydrogen sulfide (H2S), dust, and methane (CH4). At sampling point N1, H2S levels rose from 0 ppm in July to 13 ppm in November. Methane increased from 0.2% to 2.5% of the Lower Explosive Limit (LEL) at the same point, although it remained within safety limits. Additionally, CO levels showed a 40% increase, and dust concentration levels rose from 0.21 mg/m3 to 2.36 mg/m3 from summer to winter, indicating a seasonal variation likely influenced by the landfill’s operational dynamics, as well as changes in temperature and relative humidity. In particular, the results indicate high concentrations of CO, H2S and dust, which are directly related to air quality degradation. The study also sheds light on the impacts of these waste disposal facilities on the general well-being and health of the university community, particularly on students and staff. In addition to these findings, the study highlights a general lack of awareness in the university community about the impacts of MSW facilities on air quality. This highlights the need for increased education and information dissemination. The results support the development of comprehensive and effective strategies, including technical solutions and public awareness initiatives, to mitigate the impacts of these facilities on residential areas. In conclusion, the impacts of MSW facilities on air quality should be seen as a multidimensional issue that requires a holistic approach addressing environmental, health, social, and educational dimensions.

SPATIAL AND TEMPORAL ANALYSIS OF POLLUTANT GASES IN WESTERN BLACK SEA OF TURKIYE

Abstract. Environmental pollution, particularly air pollution, is one of the foremost problems we face today. Air pollution has become a global issue that affects not only regional areas but also the entire planet. The increase in the amount and concentration of pollutants or harmful substances in the atmosphere, such as various gases, particulate matter, and water vapor, causes air pollution. The rise in these substances can be due to human activities or natural environmental factors. It is crucial to examine air quality to reduce the harm inflicted on living and non-living entities. In this study, the spatial and temporal analysis of air pollutants (CO, NO2, UV_AER) in the Western Black Sea region was conducted using the Sentinel-5 TROPOMI satellite sent to monitor climate change and air quality. The Google Earth Engine platform was used to obtain the data. Monthly pollution maps were created for the year 2022, and the primary sources of pollutants were analysed. As a result, it was observed that pollutants changed on a monthly and seasonal basis, and areas with high pollutant concentrations in the region were identified. Mining, industrial activities, transportation networks, and domestic activities were determined to be the primary sources of air pollution in the study area.

Environmental Modeling and Traffic Simulation: A multivariate approach to monitor urban air pollutant agents.

This work presents an interdisciplinary assessment examining air quality tracking in urban environments. This application is well suited to be approached with wireless sensor networks' paradigm in their overall variations. The proposed modeling application takes advantage of Vehicle Sensor Networks (VSN) by embedding sensor nodes in public transportation, addressing this study case with bus lines so that the mobiles spread the sampling activity through many different places visited during the route. Simultaneously, it alleviates power management restrictions, packaging dimensions (size and weight), and general maintenance issues. We perform environmental modeling based on real data considering temporal and spatial multivariate behavior on observed phenomena. We consider the city of São Paulo in our case study and parse the asserted data to create a multivariate map of samples, showing the behavior of five different air pollutants from fossil-fueled vehicles (CO, O3, PM10, NO2 and SO2) simultaneously while it also varies in time. Furthermore, the experiment considers a detailed description of roads, bus lines, vehicle itineraries, and general traffic information. The input data that has unformatted or missing information due to being sourced from real sensors is handled to create the map mentioned above. Our methodology addresses the following: 1) the mentioned environmental simulation, 2) the deployment of mobile sensor nodes and performing sensing process, 3) the implementation of network activity and delivery of collected data, 4) visualization of monitored environment based on gathered data using Voronoi Diagrams to fill blank data at non-reached areas. Finally, our VSN-based approach improved 126 times lower error and 11 times higher coverage compared to conventional monitoring with air quality stations.

Do heat waves worsen air quality? A 21-year observational study in Seoul, South Korea

Heat waves are generally known to deteriorate air quality. However, the impacts of heat waves on air quality can substantially vary depending on the characteristics of heat waves. In this study, we examine air quality changes in Seoul during heat waves and their associations with large-scale atmospheric patterns. For this, air quality data from 25 stations and meteorological data from 23 weather stations and reanalysis datasets during July and August of 2001–2021 are used. Under heat waves, the mean daily PM10, NO2, and CO concentrations decrease by 7.9 %, 6.1 %, and 4.6 %, respectively, whereas the mean daily PM2.5, O3, and SO2 concentrations increase by 4.1 %, 17.2 %, and 2.9 %, respectively. The atmospheric circulation under heat waves is less favorable for long-range transport of air pollutants to Seoul. The PM2.5/PM10 ratio increases under heat waves, indicating that the secondary formation of aerosols becomes more important under heat waves. 37 % of the heat wave days are accompanied by severe O3 pollution exceeding the O3 concentration standard in South Korea. There is a significant variability of air quality in Seoul within heat waves. The heat wave days with higher concentrations of PM2.5, PM10, O3, NO2, and CO than their non-heat wave means exhibit a prominent difference in large-scale atmospheric pattern from the heat wave days with lower concentrations. This difference is characterized by a zonal wave-like pattern of geopotential height, which is similar to the circumglobal teleconnection pattern known as one of the major patterns for heat waves in South Korea. This zonal wave-like pattern produces more stagnant conditions over Seoul.

Population-scale COVID-19 curfew effects on urban black carbon concentrations and sources in Kigali, Rwanda

COVID-19 lockdowns enabled researchers to examine air quality in response to economic shifts. However, sub-Saharan African studies are limited, and lockdowns in tropical countries coincided with the wet season. We provide the first record of variations (including diurnal change, daytime and nighttime curfew) in concentrations of black carbon related to fossil fuel burning (BCff) and biomass burning (BCbb) for 2020, focused on three periods: before lockdown (P1: February 8–March 21), lockdown (P2: March 22–May 3), and after lockdown (P3: May 04–June 14) in 2020, with the same periods in 2018 and 2019 used as a control. The annual average BC concentration in Kigali City was 7.8 μg/m3 in 2020. During curfew hours, BCff was reduced by 59% between P2 and P3 (not observed in previous years), which indicates that the lockdown improved transport-related air pollution in Kigali only during curfew hours. No significant change was observed in BCbb concentrations. When COVID-19 restrictions were lifted, black carbon exceeded the same period in previous years. There is evidence for a link between the decline in Rwanda's vehicle use and a reduction in BCff, suggesting that air pollution in African cities could be reduced by promoting sustainable transportation.

Partnership to Develop and Deliver Curriculum Supporting Student-led Air Quality Research in Rural Washington State.

This article describes the process and educational materials developed and implemented for high school students through a partnership between an urban public university and a rural, non-profit university. This specific partnership was novel but originated within a long-standing community-academic partnership. This project took place in a rural community impacted by air pollution and a higher asthma hospitalization rate compared with the rest of the state. The objectives of this article are to describe the development and implementation of a high school program where students conducted their own research on local air quality using low-cost monitors with the guidance of undergraduate student mentors. University faculty, researchers, and students collaborated to develop an air quality curriculum relevant to local issues. This curriculum was delivered to high school students through an existing after school program, and guided students in conducting their own research on community air pollution. The students used university-provided low-cost monitors for their research, and presented their research to community members. Student learning was supported through hands-on activities and conducting research projects. Student projects examined air quality variation indoors within their school, outdoors in their community, and at home. This curriculum can be adapted for use with students in many different communities. It will likely be most successful and engaging if adapted to local air pollution sources and issues, and implemented through an existing programmatic structure with a high mentor to student ratio.

Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018)

Widespread population exposure to wildland fire smoke underscores the urgent need for new techniques to characterize fire-derived pollution for epidemiologic studies and to build climate-resilient communities especially for aging populations. Using atmospheric chemical transport modeling, we examined air quality with and without wildland fire smoke PM2.5. In 12-km gridded output, the 24-hour average concentration of all-source PM2.5 in California (2007–2018) was 5.16 μg/m3 (S.D. 4.66 μg/m3). The average concentration of fire-PM2.5 in California by year was 1.61 μg/m3 (~30% of total PM2.5). The contribution of fire-source PM2.5 ranged from 6.8% to 49%. We define a “smokewave” as two or more consecutive days with modeled levels above 35 μg/m3. Based on model-derived fire-PM2.5, 99.5% of California's population lived in a county that experienced at least one smokewave from 2007 to 2018, yet understanding of the impact of smoke on the health of aging populations is limited. Approximately 2.7 million (56%) of California residents aged 65+ years lived in counties representing the top 3 quartiles of fire-PM2.5 concentrations (2007–2018). For each year (2007–2018), grid cells containing skilled nursing facilities had significantly higher mean concentrations of all-source PM2.5 than cells without those facilities, but they also had generally lower mean concentrations of wildland fire-specific PM2.5. Compared to rural monitors in California, model predictions of wildland fire impacts on daily average PM2.5 carbon (organic and elemental) performed well most years but tended to overestimate wildland fire impacts for high-fire years. The modeling system isolated wildland fire PM2.5 from other sources at monitored and unmonitored locations, which is important for understanding exposures for aging population in health studies.

The Korea-United States Air Quality (KORUS-AQ) field study.

The Korea–United States Air Quality (KORUS-AQ) field study was conducted during May–June 2016. The effort was jointly sponsored by the National Institute of Environmental Research of South Korea and the National Aeronautics and Space Administration of the United States. KORUS-AQ offered an unprecedented, multi-perspective view of air quality conditions in South Korea by employing observations from three aircraft, an extensive ground-based network, and three ships along with an array of air quality forecast models. Information gathered during the study is contributing to an improved understanding of the factors controlling air quality in South Korea. The study also provided a valuable test bed for future air quality–observing strategies involving geostationary satellite instruments being launched by both countries to examine air quality throughout the day over Asia and North America. This article presents details on the KORUS-AQ observational assets, study execution, data products, and air quality conditions observed during the study. High-level findings from companion papers in this special issue are also summarized and discussed in relation to the factors controlling fine particle and ozone pollution, current emissions and source apportionment, and expectations for the role of satellite observations in the future. Resulting policy recommendations and advice regarding plans going forward are summarized. These results provide an important update to early feedback previously provided in a Rapid Science Synthesis Report produced for South Korean policy makers in 2017 and form the basis for the Final Science Synthesis Report delivered in 2020.

Effect of infectious disease outbreak on air quality: Impact of COVID-19 on changes in particulate matter concentrations in Taiwan

Backgrounds: Abundant research has shed light on how climate change instigates and propels the spread of infectious diseases. Recently published literature reported that global epidemic of COVID-19 has reduced air pollutant emissions in several metropolises due to lockdown measures. This study aims to compare the ambient particulate matter concentrations in Taiwan in the past year during the same time frame. Methods: We examined air quality in 17 counties from Taiwan; concentrations of PM1.0, PM2.5, and PM10 detected by low-cost air quality sensors (LCS) from January to March of 2019 and 2020, were analyzed to demonstrate the spatiotemporal pattern air pollution prior to and during the COVID-19 outbreak. We examined monitoring data from 674 LCS and calculated monthly and seasonal mean levels, as well as Wilcoxon signed-rank test to assess whether changes in concentrations were statistically significant. Particulate matter concentrations detected by another type of LCS, hereafter denoted as microsensors, were also analyzed. Results: Ambient concentrations of PM1.0, PM2.5, and PM10 in January of 2019 did not differ significantly from those detected in 2020. However, decreases in PM2.5 levels in February of 2020 reached statistical significance when we compared to levels detected in February of the previous year (30.35 10.38 and 28.13 8.22 μg/m3, p =0.027). Differences in monthly mean PM2.5 concentrations detected by microsensors were also statistically significant (22.57 7.05 and 21.61 7.13 μg/m3, p =0.035). As the pandemic progressed and social distancing encouraged, decreases in levels of PM1.0, PM2.5, and PM10 in March of 2020 were statistically significant (p=0.004, p=0.0002, p<0.001). Similar decreases were detected by microsensors across Taiwan, with levels of PM2.5 decreased from 24.40 to 21.39 μg/m3, p<0.001). Conclusion: Initial analysis showed even though Taiwan did not enforce full nationwide lockdown amidst COVID-19 pandemic, reductions in anthropogenic activities have lowered air pollution levels.

Evaluation of anthropogenic air pollutant emission inventories for South America at national and city scale

The changing composition of the atmosphere, driven by anthropogenic emissions, is the cause of anthropogenic climate change as well as deteriorating air quality. Emission inventories are essential to understand the contribution of various human activities, model and predict the changing atmospheric composition, and design cost-effective mitigation measures. At present, national emission inventories in South America (SA) focus on Greenhouse Gases (GHG) as part of their obligation to the United Nations Framework Convention for Climate Change (UNFCC) within the framework of their national communications. Emission inventories other than GHG in SA focus mainly on growing urban areas and megacities. Therefore, studies examining air quality at national, regional or continental scales in SA depend on (down-scaled) global emission inventories. This paper examines the emission estimates of air pollutants from various global inventories for five SA countries, namely Argentina, Brazil, Chile, Colombia and Peru. A more detailed analysis is conducted for the EDGAR and ECLIPSE emission inventories, in particular comparing local city-scale inventories of a major city in each country. Although total emissions between down-scaled global inventories and local city inventories are often comparable, large discrepancies exist between the sectoral contributions. This is critical, as the mitigation of poor air quality will depend on addressing the right sources. Potential sources of discrepancies between global and local inventories include the spatial distribution proxies, difference in emission factors used and/or the use of generic statistical country data when estimating emissions. This highlights the importance of using local information when generating national emission inventories, especially for air quality modeling and development of effective mitigation measures. This study represents the first step towards an increased understanding of the strengths and weaknesses of emissions information in SA.

Air Pollution Issues in Australia.

This researcher examined air quality in Australia and, compared to other countries, found that there were considerable gaps in Australian’s actions and legislation towards air pollution. Firstly Australia has a Neoliberal Federal Government who are committed to continuing with fossil fuel development. As well as a preference for coal, gas is regarded as being a big contender in the Australian economy. The Federal Government is now keen to undertake CSG mining to extract gas which produces methane which is approximately 30 times more dangerous to the climate in greenhouse gas emissions than carbon dioxide. Further concerns have arisen in regard to lack of fuel standards which mean that car owners can use whatever types of petrol they wish. Diesel is also another option. Both these fuel sources are creating toxic, uncontrolled pollution. Another worrying consideration is the 40 year old Australian coal-fired power stations. The author was affronted at the terrible toxins being emitted from the Liddell coal-fired power station, well above the international standards, and there only being dated control in place, unlike the reduction of emissions in other countries. The research project the author undertook on: “Supporting the Upper Hunter valley community in the transition from coal power to renewable energy with the closure of the Liddell power station in 2022,” showed that individual and family health results were concerning as there was confusion about whether respondents considered their health was impacted. Interestingly focus groups highlighted that many people did understand that once the power station closed their health would definitely improve. NSW and Australia need policy development and action in air quality. The evidence of bad pollution – no fuel standards; dated controls on emissions for 40 year old coal-fired power stations; and probable continued greenhouse gas emissions increasing through continued coal use and gas mining – show that Australia is at the crossroads in regard to air quality and climate change. Zali Steggall, an Independent Member of Parliament, is proposing a Climate Change Bill by November 2020. Her supporters are arguing for a conscience vote. If enacted, the Bill would address the issue of climate change in a scientific and systematic way and, in so doing, tackle the multi-faceted problem of Australia’s poor air quality.

Using low-cost sensors and citizen science to examine air quality

Using low-cost sensors and citizen science to examine air quality

Modeling Emissions and Ozone Air Quality Impacts of Future Scenarios for Energy and Power Production in the Rocky Mountain States.

This study examines air quality impacts of scenarios for energy production and use in 2030 across Colorado, northern New Mexico, Utah, and Wyoming. Scenarios feature contrasting levels of oil and gas production and shares of electricity from coal, natural gas, and renewables. Hourly emissions are resolved for individual power plants; oil and gas emissions are basin-specific. Ozone decreased from 2011 to the 2030 baseline, with median and 90th percentile reductions in maximum daily 8 h average (MDA8) ozone across the four-state domain of 3.5 and 7.1 ppb, respectively, resulting in 200 fewer premature deaths annually. Relative to the 2030 baseline, MDA8 ozone increased in the "cheap gas" scenario, with median and 90th percentile increases of 0.1 and 1.0 ppb, and declined in a scenario with greenhouse gas (GHG) emissions fees, with median and 90th percentile reductions of 0.2 and 1.5 ppb. Reduced coal generation lowered SO2 emissions in all future scenarios compared to 2011. GHG emissions from electricity and oil and gas production declined by 4% (CO2-equivalent) from 2011 to the 2030 baseline, increased by 10% from the 2030 baseline to the cheap gas scenario, and declined by 28% from the 2030 baseline to the GHG fees scenario.

Studi Dinamika Bakteri Dan Kualitas Air Selama Proses Awal Bioflok

Bioflok is a relatively new technology in the field of aquaculture. The weakness of this technology is the need that takes a long time. This ultimately decreases the task and waiting period for fish production. This study aims to analyze the dynamics of air quality and bacteria that will be used as a basis for making rapid biofloc technology. The research was conducted by examining air quality, physics, and chemistry. The results show that the sidika chemical (DO, temperature, pH, intelligence, air color) parameters are not always significant which occurred for eleven days. While the dominant bacteria are the bacteria genus Bacillus, Lactobacillus and Nitrosomonas. This shows that early biofilm formation with these bacteria.