Study on indoor pollutants emission in Akure, Ondo State, Nigeria DOI Creative Commons
Francis Olawale Abulude, Domenico Suriano, Samuel Dare Oluwagbayıde

et al.

Arab Gulf Journal of Scientific Research, Journal Year: 2023, Volume and Issue: 42(4), P. 1643 - 1663

Published: Dec. 14, 2023

Purpose This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO 2 ), ozone (O 3 nitrogen (NO ) and sulfur (SO well particulate matter (PM) (PM 1 , PM 2.5 10 in Akure, Nigeria, relationship between parameters’ concentrations. Design/methodology/approach The evaluation, which lasted four months, used a low-cost air sensor that was positioned two meters above ground. All procedures were correctly carried out. Findings CO (430.34 ppm), NO (93.31 ppb), O (19.94 SO (40.87 (29.31 µg/m3), (43.56 µg/m (50.70 temperature (32.4°C) relative humidity (50.53%) average values obtained. Pearson correlation depicted relationships weather factors. With exception April, had significant (18%) low (49%) contributions, most common all months. mean quality index (AQI) for indicated AQI “moderate” (51–100). In contrast whose ranged from “very unhealthy,” 's “good” (50) “unhealthy” (151–200). Since made up majority PC1’s contribution, both deemed “hazardous.” Practical implications practical implication pollution is long-term health effects, including heart disease, lung cancer respiratory diseases such emphysema. Indoor can also cause damage people’s nerves, brain, kidneys, liver other organs. Originality/value Lack literature terms (IAQ) Ondo State. this work, information obtained will assist stakeholders policy formulation implementation. Again, new part world.

Language: Английский

Indoor air quality monitoring and source apportionment using low-cost sensors DOI Creative Commons
Christina Higgins, Prashant Kumar, Lidia Morawska

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(1), P. 012001 - 012001

Published: Jan. 1, 2024

Abstract Understanding of the various sources indoor air pollution requires quality (IAQ) data that is usually lacking. Such can be obtained using unobtrusive, low-cost sensors (LCS). The aim this review to examine recent literature published on LCS for IAQ measurements and determine whether these studies employed any methods identify or quantify pollution. Studies were reviewed in terms source apportionment employed, as well microenvironment type, geographical location, several metrics relating contribution outdoor pollutant ingress versus potential sources. We found out 60 relevant studies, just four apportionment, all which utilised receptor models. Most undertaken residential educational environments. There a lack other types microenvironments locations outside Europe North America. are inherent limitations with producing This applies external data, however even more challenging measure due its characteristics. environment heterogeneous, significant variability within space between different locations. Sensor placement, occupancy, activity reports, locations, contribute understanding variability. Outdoor pollutants into via building envelope, measurement environmental conditions, recording details fabric ventilation help apportion contributions. Whether not models from LCS, there parameters which, if carefully considered during campaigns, aid identification pollutants.

Language: Английский

Citations

9
Spatial and temporal variation of cooking-emitted particles in distinct zones using scanning mobility particle sizer and a network of low-cost sensors DOI Creative Commons
Rubal Dhiman, Rajat Sharma,

Akshat Jain

et al.

Indoor Environments, Journal Year: 2024, Volume and Issue: 1(2), P. 100008 - 100008

Published: March 5, 2024

Exposure to ambient and household fine-particulate matter is identified as a substantial contributor premature mortality in India, according the Global Burden of Disease Studies. This study examines impacts typical Indian cooking practices on indoor air quality characteristics by monitoring evolution fine ultrafine particle (UFP) concentration dining facility residential educational institute India. The area was spread across kitchen (zone1) hall (zone2). A combination validated low-cost PM sensors (LCS), DustTrak8433, Scanning Mobility Particle Sizer (SMPS) utilized for real-time data acquisition while using Liquefied Petroleum Gas (LPG) fuel. PM2.5 UFP concentrations were monitored at 1.3 m 1.8 from floor assess vertical variation pollutants during activities, including breakfast, lunch, dinner, processes such preheating, reheating, stir-frying, deep-frying. It found that prolonged durations involved high-heat methods like stir-frying deep-frying resulted rise coarser (300-550 nm) PM2.5, causing higher exposure concentration. levels are upper heights because temperature-driven convection currents hygroscopic growth particles due high humidity levels. Air exchange rates (AER) considerably varied chimneys low controlled (closed doors) compared mixed ventilation (opened conditions. maximum AER obtained lunch (4.3 9.9 h-1) breakfast (-7.8 6.8 dinner (0.55 7.9 h-1). decrement rate inside zone 1 highest (126µgm-3h-1), coinciding with ventilation. recommended improving better design can reduce commercial rural kitchens.

Language: Английский

Citations

5
Characterization and childhood exposure assessment of toxic heavy metals in household dust under true living conditions from 10 China cities DOI

Cao Yun,

Mengmeng Liu,

Wenying Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 925, P. 171669 - 171669

Published: March 16, 2024

Language: Английский

Citations

5
Using low-cost sensors to assess common air pollution sources across multiple residences DOI Creative Commons

Catrin Rathbone,

Dimitrios Bousiotis,

Owain G. Rose

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 13, 2025

Abstract The rapid development of low-cost sensors provides the opportunity to greatly advance scope and extent monitoring indoor air pollution. In this study, calibrated particle matter (PM) a non-negative matrix factorisation (NMF) source apportionment technique are used investigate PM concentrations contributions across three households in an urban residential area. NMF is applied combined data from all houses generate profiles that can be understand how characteristics similar or differ between different same 2.5 10 were greater, more variable, significantly ambient recorded at nearby site. Concentrations also houses, with World Health Organisation 24-h guideline limits for breached one household. methodology was highly successful modelling (R 2 $$\ge$$ ≥ 0.983), finding I/O (indoor outdoor sources ratio) lowest 1 (down 0.08), greatest (up 4.93). Whilst could not clearly distinguished further than being outdoors indoors, clear insights variability within monitored houses. These results highlight importance pollution improve exposure estimates, as whilst people may live areas acceptable quality, they exposed unhealthy their own homes. This method future studies extended periods influence seasonality on scaled up larger geographical areas.

Language: Английский

Citations

0
Respiratory and Cardiovascular Medical Emergency Calls Related to Indoor Heat Exposure through a Case–Control Study in New York City DOI
Elaina Gonsoroski, James Tamerius,

Glenn Asaeda

et al.

Journal of Urban Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

Citations

0
Investigating the physicochemical and optical properties of PANI and PANI-ZnO thin films for an efficient ammonia sensor at ambient conditions DOI

Shilpa P. Dhanve,

Yashavant P. Gutte,

Chandrakant T. Birajdar

et al.

Chemical Papers, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Language: Английский

Citations

0
Application of PM 2.5 low-cost sensors for indoor air quality compliance monitoring DOI Creative Commons
Lidia Morawska, Christof Asbach, Hamesh Patel

et al.

Aerosol Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: Feb. 11, 2025

Language: Английский

Citations

0
Calibration of a Low-Cost Particulate Matter Sensor Using the Decay Method DOI Open Access
Casmika Saputra,

Muhammad Nur Faqiih,

Asthari Fachsya Thalia

et al.

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 2942(1), P. 012042 - 012042

Published: Feb. 1, 2025

Abstract Air pollution, particularly particulate matter (PM), poses significant health risks and environmental challenges. Real-time air quality monitoring is crucial for effective management mitigation strategies, especially in personal exposure contexts. Wearable devices, commonly utilizing low-cost optical PM sensors, offer a promising solution. However, these sensors often require recalibration to ensure accuracy reliability. This study focuses on calibrating the SPS30 sensor, popular improve its performance wearable applications. The calibration process was conducted using decay method an aerosol chamber, aligning SPS30’s readings with those of reference sensor (HT-9600). results demonstrated excellent correlation between both PM2.5 PM10 measurements. confirms that proper can enhance accuracy, making it reliable tool real-time, monitoring, which essential public management.

Language: Английский

Citations

0
Experimental Study of Environmental Factors Affecting Particle Infiltration in Buildings DOI
Jiayi Qiu, Yilin Liu, Xilian Luo

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112408 - 112408

Published: March 1, 2025

Language: Английский

Citations

0
Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment DOI Creative Commons
Dimitrios Bousiotis, Seny Damayanti, Arunik Baruah

et al.

Environment International, Journal Year: 2024, Volume and Issue: 193, P. 109069 - 109069

Published: Oct. 11, 2024

Currently, methodologies for the identification and apportionment of air pollution sources are not widely applied due to their high cost. We present a new approach, combining mobile measurements from multiple sensors collected daily walks citizen scientists, in population density area Birmingham, UK. The methodology successfully pinpoints different affecting local quality using only handful measurements. It was found that regional were mostly responsible PM

Language: Английский

Citations

3