Abstract:Poor air quality (PAQ) is a global concern, especially in urban areas, and is often seen as an important element of social sustainability given its negative impact on health and quality of life. However, little research has been undertaken in cities of the developing world to explore how residents perceive poor air quality, its main causes, what control measures should be used to address PAQ and where the main responsibility rests for implementing control measures. The research described in this paper sought t… Show more
“…The locations were Lagos (south-west GZ), Aba (south-east GZ), Abuja (north-central GZ), Kano (north-central, Port Harcourt (south-south GZ), and Borno (north-east GZ). These locations are the most polluted location within each geopolitical zones [31][32][33][34]44,45 . The spatial grid of the dataset was 2D, single-level, full horizontal resolution.…”
Section: Methodsmentioning
confidence: 99%
“…; in the north-west and north-east geopolitical zones, Sahara dust influx is the major among biomass burning, automobile emission, bush burning, etc. 31 – 34 . Figure 2 Nigeria geopolitical zones.…”
Section: Introductionmentioning
confidence: 99%
“…; in the north-west and north-east geopolitical zones, Sahara dust influx is the major among biomass burning, automobile emission, bush burning, etc. [31][32][33][34] . www.nature.com/scientificreports/ One of the prominent pollutants is particulate matter (PM).…”
Recently, the World Health Organization reported that 20% of all global maternal deaths happened in Nigeria between 2005 and 2015. In developing countries, these maternal deaths are mainly from air pollution. Due to poor facilities and documentation, the extent of danger is not known. This research seeks to estimate the available pollutants and its direct and indirect impact on maternal mortality. Ten (10) years (2010–2019) datasets of black carbon, sulfur dioxide, dust, carbon monoxide, organic carbon particulates, sea-salts, and sulphate particulates were obtained from the second modern-era retrospective analysis for research and applications (MERRA-2). The dataset was obtained for the six geopolitical zones of Nigeria and analyzed using statistical tool, models, spatial interpolation, and risk analysis. The volumetric and radioecological risk was also analyzed. It was observed the dust content had minute volume of heavy metal and/or radionuclide particles that may be unharmful in the short term but lethal in the long term. The risk quotient and total dose rate per organism are given as 0.00000396 and 0.0000396 µGy h−1. The result in this manuscript corroborates existing data on maternal mortality in Nigeria. It is recommended that the safety of pregnant woman depends on significant efforts of authorities to enact and enforce environmental laws to mitigate air pollution.
“…The locations were Lagos (south-west GZ), Aba (south-east GZ), Abuja (north-central GZ), Kano (north-central, Port Harcourt (south-south GZ), and Borno (north-east GZ). These locations are the most polluted location within each geopolitical zones [31][32][33][34]44,45 . The spatial grid of the dataset was 2D, single-level, full horizontal resolution.…”
Section: Methodsmentioning
confidence: 99%
“…; in the north-west and north-east geopolitical zones, Sahara dust influx is the major among biomass burning, automobile emission, bush burning, etc. 31 – 34 . Figure 2 Nigeria geopolitical zones.…”
Section: Introductionmentioning
confidence: 99%
“…; in the north-west and north-east geopolitical zones, Sahara dust influx is the major among biomass burning, automobile emission, bush burning, etc. [31][32][33][34] . www.nature.com/scientificreports/ One of the prominent pollutants is particulate matter (PM).…”
Recently, the World Health Organization reported that 20% of all global maternal deaths happened in Nigeria between 2005 and 2015. In developing countries, these maternal deaths are mainly from air pollution. Due to poor facilities and documentation, the extent of danger is not known. This research seeks to estimate the available pollutants and its direct and indirect impact on maternal mortality. Ten (10) years (2010–2019) datasets of black carbon, sulfur dioxide, dust, carbon monoxide, organic carbon particulates, sea-salts, and sulphate particulates were obtained from the second modern-era retrospective analysis for research and applications (MERRA-2). The dataset was obtained for the six geopolitical zones of Nigeria and analyzed using statistical tool, models, spatial interpolation, and risk analysis. The volumetric and radioecological risk was also analyzed. It was observed the dust content had minute volume of heavy metal and/or radionuclide particles that may be unharmful in the short term but lethal in the long term. The risk quotient and total dose rate per organism are given as 0.00000396 and 0.0000396 µGy h−1. The result in this manuscript corroborates existing data on maternal mortality in Nigeria. It is recommended that the safety of pregnant woman depends on significant efforts of authorities to enact and enforce environmental laws to mitigate air pollution.
“…Initially, the studies were looking to find the effect of basic indicators like socio-demography, economy, air quality data, etc on perception (Brody et al 2004, Cisneros et al 2017. After the spread of the internet and social media, more studies are looking at the effect of advanced indicators like internet usage (Chukwu et al 2022), social media (Kim et al 2020), behaviour (Cao and Chen 2021), attitude (Schmitz et al 2018), etc on perception. The pathways and mediation effects of these indicators have changed, and the studies are trying to unearth the complex relationships between these variables.…”
Section: Perception Vs Indicator Studiesmentioning
Air pollution is perceived through sensory stimuli and interpreted by our brain. Perception is highly subjective and varies from person to person. As many direct and indirect factors influence air pollution perception, it is difficult to unearth the underlying mechanisms. Many studies have tried to understand the mechanisms and relations affecting perception, and it is important to evaluate those different approaches.
We systematically reviewed 104 studies on air pollution perception, following the PRISMA guidelines. There is a difference between the public's subjective perception and objective air quality measurements. This discrepancy has been found to occur due to varied socio-economic characteristics, knowledge, emotions, etc. The advent of social media and the internet has had a significant effect on risk perception. All these influencing factors create differences between the public's perception and the scientific community/policymakers. This gap can be fixed by tailoring science-backed information for better communication. Based on past studies, we highlight the need for tailored data dissemination, integration of big data for urban management, development of robust frameworks to incorporate perception and use of a perception index for better communication.
“…One of the major concerns regarding environmental quality is its degradation, especially in urbanized areas. [1] According to the World Health Organization, more than 85% of the global population is exposed to elevated levels of particulate matter, making it imperative to address air quality concerns. People have become increasingly cautious about their health and air quality, focusing on the spaces where they spend a significant portion of their timebe it at home, school, or in their cars.…”
Poor air quality is a major concern in urban areas, with a large percentage of the population exposed to high levels of pollutants. Using sensor and monitoring technology, devices can automatically and periodically monitor indoor air quality. Containment measures should be taken when dangerous airborne chemicals are detected. Air pollution, both indoors and outdoors, causes health problems. The Philippines faces challenges in air quality reporting due to the high cost of monitoring equipment. A project is underway to collect real-time data using sensors and an Arduino Uno-based monitoring system. The power management design's PCB layouts were completed using two software applications: Eagle CAD for the nano power boost charger circuit and Ultiboard for the boost converter circuit. The layout design adhered to the IPC2221A standards, ensuring accurate component footprints and copper trace width, which were determined based on the current flow through the trace in the PCB design. The circuit boards were carefully sized to be smaller than 4“x4” to enable smooth integration into an air quality monitoring device. The integrated design functioned as a wireless sensing application, effectively monitoring air quality. The carbon gas monitoring system had the capability to detect and collect various gases, including Carbon Dioxide, Nitrogen Monoxide, Carbon Monoxide, and Dust Density. Additionally, it was equipped to measure temperature and humidity. Achieving this required using the Arduino Uno application for programming and incorporating an additional sensor, resulting in a cost-effective design solution. The prototype successfully integrated air quality sensors, microcontrollers, and communication modules. The system's performance was evaluated against existing testing centers, and the results were presented.
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