Assessment Of Ambient Air Quality Research Articles

Ambient Air Quality Assessment through Air Quality Index and Air Quality Health Index for Eastern Coastal Region, Gandhidham, Gujarat, India

The impact of coastal developmental projects such as ports on regional air quality has been a matter of concern, as they are known to induce rapid industrialization and urbanization as collateral development on a long-term basis. Gandhidham-Kachchh, Gujarat, India is hub for industrialization, thus various developmental activities and port activities may release toxic gases into the environment. Thus, an attempt was made to assess the present ambient air quality in and around eastern coastal region of Gandhidham, Gujarat using Air Quality Index (AQI) and Air Quality Health Index (AQHI). The primary focus was on respirable particulate matter (PM10) and fine particulate matter (PM2.5) along with other gaseous pollutants. In total 134 samples were collected from 11 stations during January to December 2018. Sampling was carried out 24 hourly on a monthly basis. Respirable particulate matter (PM10), fine particulate matter (PM2.5), sulphur dioxide and nitrogen dioxide ranged from 29-401 µg/m3, 13-184 µg/m3, 5.9-92.6 µg/m3and 3.7-33 µg/m3, respectively. The annual mean concentrations varied from 118-227 µg/m3, 47-82 µg/m3, 10-51 µg/m3, 11-41 µg/m3 for PM10, PM2.5, sulphur dioxide and nitrogen dioxide, respectively. In most of the sampling locations both the particulate matter fractions exceeded the permissible limit as prescribed in National Ambient Air Quality Standard (NAAQS). The AQI ranged from 28 to 106, which falls under Good and Satisfactory category of pollution as per the Central Pollution Control Board (CPCB) standards except at A-11 which falls under Moderate category. The AQHI was in the range of 5.9 to 15.8, which was alarming indicating Moderate to Very Higher Risk to the people. The present findings throw light on the prevailing scenario in the ambient air quality of the studied region, thereby suggesting for strict implementation and thorough control measures for reduction of particulate matters in the air.

Assessment of the Ambient Air Quality of Sangli City, Maharashtra, vis-à-vis National Ambient Air Quality Standards (NAAQS)

Assessment of ambient air quality is important to formulate short-term and long-term plans to mitigate air pollution. This study attempts to present an ambient air quality assessment for Sangli City, located at 16.85° N, and 74.58° E. The assessment is done through ambient air quality data measured over three ambient air quality monitoring stations located in residential, commercial, and industrial zones of Sangli City. The data was collected from 2009 to 2017 under the National Air Quality Monitoring Program of the Central Pollution Control Board (CPCB), India. The observed concentrations of gaseous pollutants, SO2 and NOx, and respirable particulate matter are compared with the concentration levels prescribed by the National Ambient Air Quality Standards (NAAQS) in 2009. The concentration levels of particulate matter are quite on the higher side of the prescribed standards. The levels of NOx are almost approaching the prescribed values, whereas SO2 levels are well within the margin. We have also studied seasonal variations in the pollutants during the study period. In general, the air quality in Sangli City is quite undesirable during the mid-winter to mid-summer period. The study is useful for common men to increase awareness. It also forms baseline data and is useful for local and central government to design appropriate strategies to apply corrective measures, protect health, and promote environmental protection.

Assessment of ambient air quality in relation to the burning of firecrackers during the festival of Diwali: A case study of Jodhpur City (India).

The study attempts to examine the impact of firework activities during Diwali Festival on ambient air quality of Jodhpur city. Air quality parameters particulate matter of diameter 10μm (PM10), particulate matter of diameter 2.5μm (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2) and heavy metals in PM2.5 like Pb, Ni, Ba, Al, As and Sr are monitored at two locations, for 15days, starting from 7days before the festival of Diwali, on the day of the festival (Diwali) and 7days after Diwali. On the occasion of Diwali, it was discovered that the 24-h average levels of various pollutants were significantly elevated compared to regular days preceding the festival. Specifically, at the HBO site, the concentrations were notably increased, with sulfur dioxide (SO2) reaching 5.62 times higher, nitrogen dioxide (NO2) at 3 times higher, particulate matter of diameter 10μm (PM10) at 2.35 times higher, and particulate matter of diameter 2.5μm (PM2.5) at 1.01 times higher than the usual levels before Diwali. Similarly, at the PTMM site, there were substantial elevations in pollutant concentrations during Diwali compared to pre-festival days, with SO2 registering 2.53 times higher, NO2 at 2.37 times higher, PM2.5 at 1.9 times higher, and PM10 at 1.57 times higher levels than normal. Concentration of Al, Ba, Sr and Pb at HBO site and Al at PTMM site was highest on Diwali day. Air quality index which was in good category on normal days before Diwali, fell into poor category starting from the day before Diwali and remain in poor category on normal days after Diwali. The result indicates the worsening of ambient air quality during Diwali which can adversely impact the human health in terms of various respiratory complications.

Chemometric Techniques in the Assessment of Ambient Air Quality and Development of Air Quality Index of Coal Mining Complex: A Statistical Approach

This study aims to analyze the regional variation in the source of air pollution, identify the percentage contribution of each pollutant, and distribute the mass contribution of each source category using multivariate analysis. The nine air monitoring sites were successfully divided into three groups using hierarchical agglomerative cluster analysis (HACA) (clusters 1, 2, and 3). The collected meteorological data is non-parametric data for the years 2020–2021 which includes PM2.5, PM10, SO2, NO2, NO, NOx, CO, wind speed, humidity, wind direction, temperature, cloud cover, and surface radiation. The most major air pollution sources were identified using FA. Multiple linear regression (MLR) and principal component regression (PCR) were utilized to create an equation model explaining contaminants' impact in each cluster. However, it was shown that the most important pollutants impacting the value of the air pollutant index (API) are gaseous pollutants (NOx and SO2) and particulate matter (PM10 and PM2.5). Gas and non-gas pollutants have a 65% influence on cluster 1 and meteorological conditions have a 35% effect. Cluster 3 is influenced by 65% particle and non-gas pollutants and 35% weather conditions, compared to Cluster 2 which is 100% affected by gas and particulate pollutants because of its spatial location. This study shows the value of the multivariate modeling technique in minimizing the time and expense associated with monitoring redundant stations and parameters.

Chemometric Techniques in the Assessment of Ambient Air Quality and Development of Air Quality Index of Coal Mining Complex: A Statistical Approach

This study aims to analyze the regional variation in the source of air pollution, identify the percentage contribution of each pollutant, and distribute the mass contribution of each source category using multivariate analysis. The nine air monitoring sites were successfully divided into three groups using hierarchical agglomerative cluster analysis (HACA) (clusters 1, 2, and 3). The collected meteorological data is non-parametric data for the years 2020–2021 which includes PM2.5, PM10, SO2, NO2, NO, NOx, CO, wind speed, humidity, wind direction, temperature, cloud cover, and surface radiation. The most major air pollution sources were identified using FA. Multiple linear regression (MLR) and principal component regression (PCR) were utilized to create an equation model explaining contaminants' impact in each cluster. However, it was shown that the most important pollutants impacting the value of the air pollutant index (API) are gaseous pollutants (NOx and SO2) and particulate matter (PM10 and PM2.5). Gas and non-gas pollutants have a 65% influence on cluster 1 and meteorological conditions have a 35% effect. Cluster 3 is influenced by 65% particle and non-gas pollutants and 35% weather conditions, compared to Cluster 2 which is 100% affected by gas and particulate pollutants because of its spatial location. This study shows the value of the multivariate modeling technique in minimizing the time and expense associated with monitoring redundant stations and parameters.

Chemometric Techniques in the Assessment of Ambient Air Quality and Development of Air Quality Index of Coal Mining Complex: A Statistical Approach

This study aims to analyze the regional variation in the source of air pollution, identify the percentage contribution of each pollutant, and distribute the mass contribution of each source category using multivariate analysis. The nine air monitoring sites were successfully divided into three groups using hierarchical agglomerative cluster analysis (HACA) (clusters 1, 2, and 3). The collected meteorological data is non-parametric data for the years 2020–2021 which includes PM2.5, PM10, SO2, NO2, NO, NOx, CO, wind speed, humidity, wind direction, temperature, cloud cover, and surface radiation. The most major air pollution sources were identified using FA. Multiple linear regression (MLR) and principal component regression (PCR) were utilized to create an equation model explaining contaminants' impact in each cluster. However, it was shown that the most important pollutants impacting the value of the air pollutant index (API) are gaseous pollutants (NOx and SO2) and particulate matter (PM10 and PM2.5). Gas and non-gas pollutants have a 65% influence on cluster 1 and meteorological conditions have a 35% effect. Cluster 3 is influenced by 65% particle and non-gas pollutants and 35% weather conditions, compared to Cluster 2 which is 100% affected by gas and particulate pollutants because of its spatial location. This study shows the value of the multivariate modeling technique in minimizing the time and expense associated with monitoring redundant stations and parameters.

Comparative Hygienic Assessment of the Composition of Ash and Dust Fractions in Ambient Air of the Area Affected by Emissions from a Thermal Power Station: Improving the Accuracy of Human Health Risk Assessment

Introduction: The relevance of the study is determined by a great number of functioning thermal power stations that operate using solid fuels (40 %) and are a source of ambient air pollution posing human health risks. Objective: A comparative hygienic assessment of the component, disperse, and morphological composition of fly ash and airborne particles in the area surrounding a coal-fired power station for the purpose of increasing the accuracy of human health risk assessment. Materials and methods: We have used unified and approved methods for hygienic assessment of ambient air quality; hazard identification and health risk assessment; scanning electron microscopy and micro-X-ray fluorescence spectroscopy of component, disperse, and morphological structure of fly ash and airborne particulate matter. Results and discussion: Large coal-fired thermal power plants emit about 36 chemicals. Over 59 % of brown coal ash particles are calcium, magnesium, iron, silicon, aluminum, sodium, potassium, sulfur, and phosphorus compounds. Particles found in fly ash and ambient air of the surrounding area have similar components and dispersion, are predominantly less than 10 µm in diameter with the sphericity index ranging from 0.4 to 1.0. Maximum allowable concentrations (MAC) of seven chemicals are exceeded in the study area: up to 3.3 single MAC, up to 1.4 average daily MAC, and up to 1.5 average annual MAC, with the estimated contribution of the thermal power stations of about 40 %. We have also established increased non-carcinogenic health risks with the dust fractions alone generating risk levels as high as 5.5 HQac, 2.4 HQch, and 6.9 HIch, which are rated as “high” and “alerting”. Identified solid particles (aluminum, magnesium, calcium, etc.) are more significant risk factors compared to unidentified particulate matter and can cause respiratory and circulatory diseases, diseases of the eye, etc., which requires their quantification. These chemicals are not included in air emissions inventory lists and are, therefore, not monitored. As a result, health risks posed by economic activities of thermal power stations may be underestimated.

Ambient air quality assessment at the airports based on a meteorological perspective.

Natural mineral dust episodes elevate particle concentrations and eventually decrease air quality. Air pollutant emissions from aircraft, airport ground operations, and long-range dust transport are producing problems for the aviation sector. Dust transport from the Sahara Desert, one of the primary dust sources globally, significantly affects the eastern Mediterranean basin, including Türkiye. This study investigates the effect of long-range dust transport on particulate matter (PM) concentrations at Turkish airports. Three different approaches were used to analyse dust episodes in the study area. Firstly, routine reports of meteorological conditions at the airports were investigated. For this purpose, airport routine meteorological reports (Metar) and aviation-selected special weather report (Speci) codes, recorded at 11 airports from 2012 to 2021, were used to determine the dust episode days. Secondly, the hourly PM measurement dataset was analyzed from the closest air quality monitoring stations to the airports. Finally, regional atmospheric model results and backward-trajectory analysis were used to validate the dust episodes and determine the dust origin. Results showed that 163 dust episodes occurred during the study period, 17% from North Africa and 12% from the Mediterranean region.

Ambient air quality monitoring and assessment of an industrial area as a tool for sustainable environmental management

Different ambient air pollutants like PM10, PM2.5, SO2 and NO2 were studied for three years with respect to seasons starting from Mar’2017 to Feb’2020 at eight different monitoring locations (ML). It has been revealed from the study that, the levels of air pollution are worsening year by year. It is due to increased transportation of raw materials and finished products from industries and mining activities near to the study area. During the study period 2020–21, the maximum concentrations of PM10 was observed in winter season at ML-5, ML-3 i.e. 216.5 μg/m3, 212.3 μg/m3 and PM2.5 at ML-3, ML-2 i.e. 111.8 μg/m3, 100.4 μg/m3 respectively followed by summer season which exceeding the standard norms. However, it was observed from the study that, in general during all the three seasons and years the concentrations of SO2 & NO2 and found well within the norms. Wind rose graph during October to December 2019 shows the wind direction (predominant) was NW to SE and the wind class frequency distribution graph shows that the air is 26.5 % calm. Similarly the wind rose and wind class distribution pattern during March- May 2019 shows that the wind direction (predominant) was SW to NE and the wind class frequency distribution graph shows that the air is 30.2 % calm.

A Review on Assessment of Ambient Air Quality of Hoshangabad and Itarsi of M.P.

The study reveals that the level of air pollution is rapidly increasing. The reason for this is migration which results into growth of urbanization and transportation and the reason for this is industrialization ultimate the result is more pressure on the atmosphere. Due to emission various gases, this adversely affects the human health, plants and animals. According to this study some of the impacts on air making it pollute are those from mining areas, burning crop Residues and other household activities. These all result in the increased level of oxide of sulphur (SOx), volatile organic compounds (vocs) , oxide of Nitrogen (NOx) and ozone(O3). The study tell that the people who are directly exposed to and affected due to air pollution are traffic crop occurs road, shopkeepers, rickshaw pullers, public Transpiration employees as well as the residents closed to busy roads. as a result of this they are prone to lungs diseases

Assessment of Ambient Air Quality in Neonatal Incubators at Selected Sites of Baghdad Hospitals

An infant incubator in the neonatal intensive care unit (NICU) is a medical instrument of care that provides oxygen, warmth and moisture to a newborn baby. Due to environmental conditions affecting the infants foster babies may experience discomfort and pain at some point. Thus, this study aimed to assess ambient air quality in neonatal incubators to improve the environmental quality of neonatal intensive care units and safety. Air pollutants concentrations consisting of particulate matter (pm2.5, pm10), hydrocarbons (HOCH), volatile organic compounds (VOC), air quality index (AQI), humidity and temperature, were measured at four selected Baghdad hospitals (Al-Karkh and Rusafa) . The results showed that the increase in relative humidity (RH%) measured in all baby incubators and in all locations during the summer and winter seasons contributed to an increase in polluting gases emission inside the incubators, which was the highest measurement that gave significant difference for the incubator.The highest recorded measurement with significant difference for pm2.5 was 73.78 ± 0.096 in site2 in winter, pm10 was 106.73 ± 0.05 in site1 in winter, HCHO was 0.148 ± 0.005 in site3 in winter, VOC was 673 ± 0.005mg/m3 in site2 in winter, AQIwas 177.25 ± 0.5 in site2 in winter, RH% was 53.887 in the site3 during the winter and temperature was 32.25°C in site3 in summer. It can be concluded that there is a relationship between relative humidity and temperature that affectedthe gases concentrations as it showed variations in gases and particle matters concentrations which affected the air quality inside the neonatal incubatorsthat in turn affected the health of the neonates, especially increased severity of asthma attacks and low Intelligence quotient (IQ) in children in the future.

Ambient Air Quality and Noise Assessment in Eleme Communities, Rivers State, Nigeria

Problems caused by ambient air pollution on human and the environment can be averted by steadily and strictly monitoring of the concentrations of outdoor pollutants. Human activities have triggered changes in the earths atmosphere. In this research, 7(Seven) selected Eleme communities, 4(four) zones in each community and 28(Twenty eight) sampling points in all locations were assessed for the concentrations of CO, SO2 , NO2 , NO, CO2 , SPM, O2 , noise level and as well Meteorological parameters using methods recommended by ASTM for air pollutants measurement and meteorological parameters. Findings of this research showed that, measured level of CO (1.00 - 43.00 ppm) at Akpajo, Aleto and Onne zone "B" exceeded the stipulated limit by NAAQS. Measured level of SO2 (0.00 - 1.30 ppm) at zone "B" and "D" in all locations were above permissible limit except in Alode and Ogale in which the concentrations of SO2 were 0.00 ppm through out the zones. NO2 (0.00 - 3.10 ppm) and NO (0.00 - 1.05 ppm) concentrations in zone "B" in all the sampling locations exceeded the permissible limit by NAAQS except in Alode and Ogale. Aleto and Ogale zone "D" were also above limits. SPM(0.01 - 4.83 ppm) Levels in all locations and zones exceeded the limit given by W.H.O except in Ogale residential area. Noise Level (40.20 - 102 dBA) at Alesa, Aleto, Akpajo and Ebubu zone "B" were as well above limits. In order to address the risk connected with the identified pollutants in the study area, more endeavour should be conveyed to the use of renewable energy and as well, cleaner air initiatives should be embarked upon.

Monitoring of Ambient Air Quality Patterns and Assessment of Air Pollutants’ Correlation and Effects on Ambient Air Quality of Lahore, Pakistan

Industrialization, explosive population growth, anthropogenic activities, and vehicular exhaust deteriorate ambient air quality across the world. The current study aims at assessing the impacts on ambient air quality patterns and their co-relations in one of the world’s most polluted cities, i.e., Lahore, Pakistan, during a strict, moderate, and post-COVID-19 period of 28 months (March 2020–June 2022). The purpose of this study is to monitor and analyze the relationship between criteria air pollutants (SO2, particulate matter (PM 10 and 2.5), CO, O3, and NO2) through a Haz-Scanner 6000 and mobile van (ambient air quality monitoring station) over nine towns in Lahore. The results showed significantly lower concentrations of pollutants during strict lockdown which increased during the moderate and post-COVID-19 lockdown periods. The post-COVID-19 period illustrates a significant increase in the concentrations of SO2, PM10, PM2.5, CO, O3, and NO2, in a range of 100%, 270%, 500%, 300%, 70%, and 115%, respectively. Major peaks (pollution concentration) for PM10, PM2.5, NO2, and SO2 were found during the winter season. Multi-linear regression models show a significant correlation between PM with NO2 and SO2. The ratio of increase in the PM concentration with the increasing NO2 concentration is nearly 2.5 times higher than SO2. A significant positive correlation between a mobile van and Haz-Scanner was observed for CO and NO2 data as well as ground-based observation and satellite data of SO2, NO2, and CO. During the strict COVID-19 lockdowns, the reduction in the vehicular and industrial exhaust significantly improved the air quality of nine towns in Lahore. This research sets the ground for further research on the quantification of total emissions and the impacts of vehicular/industrial emissions on human health.

Assessment of ambient air quality in heavy industrial localities: a case study of Yanbu industrial city.

The objective of this study was to provide an appropriate evaluation of ambient air quality in industrial localities and the surrounding residential areas in its vicinity. Therefore, an assessment of gaseous emissions from industrial sectors was performed. For this purpose, concentrations were measured for SO2, H2S, NO2, O3, CO, PM2.5, and PM10 in five spatially diverse monitoring stations (AQMS) over different temporal intervals (daily, monthly, and annual) for the years 2015-2020. The impact on the environment and public health was evaluated through comparison with the corresponding regional and international standards. In the case study region, a substantial spatiotemporal variation was observed in the gaseous contaminants, due to the predominance of characterized meteorological parameters interfering with contributions from existing chemical facilities and anthropogenic activities. The exceedances for the investigated emissions were routinely violated the standard concentrations. According to AQI classifications, these violations were assigned to be within the acceptable limits for the gaseous emissions, moderately polluted for PM2.5, and unhealthy for sensitive groups for PM10. The proper distribution of the AQMSs within the industrial locality provides enough spatial and temporal observatory data, such that the exceedances were reduced with the subsequent years, hence appropriate evaluation of the relevant measurements revealed effective qualitative policies taken into action by authorities to maintain less accumulation of the gaseous emissions into ambient air beyond the harmful limits for public health and environment.

Assessment of Ambient Air Quality Using Air Quality Index: A Case Study for Urban and Rural Area in Palghar District of Maharashtra (India)

Assessment of Ambient Air Quality Using Air Quality Index: A Case Study for Urban and Rural Area in Palghar District of Maharashtra (India)

Ambient Air Quality Assessment in Karachi, Sindh Pakistan

Pakistan’s urban air pollution is amongst the utmost severity in the world that causes acute damage to the economy and human health. This study was designed for the assessment of ambient air quality in different areas of Karachi. The data were collected as pre-monsoon and post-monsoon season from main industrial zones of Karachi, S.I.T.E area, North Karachi industrial area, Korangi industrial area and Landhi industrial area in the year of 2017-2019. These zones are also a blend of industrial, residential, commercial and heavy traffic zones with dense populations. Ambient air data were collected for different pollutants like Nitrogen Oxides (NOx), Carbon Monoxide (CO), Sulfur Dioxide (SO2) and Particulate Matters (TSPM, PM10 and PM2.5). It is observed that in pre-monsoon, there is quite high intensity of particulate matter (TSPM, PM10 & PM2.5) present in the air, whereas CO and NO2 values found in all four zones are moderate in the air samples as prescribed by Sindh Environmental Protection Agency (SEPA) standards. It is observed specifically in Landhi, S.I.T.E Area and Korangi industrial area which are more prone to the exposure of these pollutants. In post-monsoon, the intensity of particulate matters (TSPM, PM10 & PM2.5), CO and NO2 values in all four zones are less to moderate than the values of pre-monsoon due to the seasonal effects. Study data shows that three major zones; Landhi, Korangi and S.I.T.E. industrial areas are at a high exposure to gases and other toxic elements. North Karachi is at the least risk because of having a small scale of industries present. The PM10 & PM2.5 levels average about 2 - 3-fold greater than the SEPA standards. High levels of ambient air pollutants cause severe health problems and chronic diseases on human health. Therefore the implementation of rules and regulations regarding ambient air pollutants should be more rigorous.

Assessment of Ambient Air Quality in Primary Schools in Various Areas of Lahore

I analyzed ambient air quality of 54 primary schools of both government and private sectors in 9 different towns of Lahore. The pollutants Particulate matter (PM2.5, PM10), Carbon monoxide (CO), Carbon dioxide (CO2), Nitric oxide (NO), Nitrogen dioxide (NO2), Nitrous Oxide (NOx), Sulphur dioxide (SO2), Hydrogen sulphide (H2S), Ground level Ozone (O3 ) and Volatile Organic Compounds (VOCs) were measured. After analysis the level of CO2, O3, and CO is lower in both schools. The concenteration of NO, SO2 and NO2 is higher in both schools as compared to standard. The concenteration of H2S is higher in both schools as compared to reference value. The government schools has more concentration than private schools. The concenteration of VOC’s is low in both schools as compared to standard value. Both schools have almost the same concentration. The concenteration of PM10 is so much higher in both schools as compared to reference value. The government schools has more concentration than private schools. The concenteration of PM2.5 is so much higher in both schools as compared to standard value. The government schools has more concentration than private schools.

Assessment of ambient air quality in areas influenced by fuel and energy enterprises to provide environmental safety of the population

The article provides the spatial-dynamic and structural hygienic assessment of influence exerted by fuel and energy enterprises on ambient air quality and potential public health risks in the Russian Federation. An average potential health risk level (Rlav) equaled 5.44∙10-4 per one economic entity operating in the ‘Electrical power, gas and steam supply; air conditioning’ branch in the RF as a whole. In the RF regions, the highest potential health risk level per one economic entity was identified in the Siberian Federal District where it equaled 9.9∙10-4. According to the Register, the exposure level (Mi) established for economic entities operating in the ‘Electrical power, gas and steam supply; air conditioning’ branch and belonging to extremely high and high risk categories varies within the range of 0.0928 – 0.0093 and 0.00921 – 0.00092 million people accordingly; a potential health risk level identified for such economic entities equals 1.11∙10-3 – 0.17 and 1.0∙10-4 – 9.8∙10-4 accordingly.

Associations between High Blood Levels of Copper, Nickel and Chromium and Indicators of Their Adverse Effects on Respiratory Organs, Blood and the Immune System

Introduction: An urgent hygienic problem in the regions with intensive industrial development is the persistence of ambient air pollutants and their adverse health outcomes in the population leading to higher incidence rates of non-communicable diseases and their chronicity. Objective: To substantiate the relationships between high blood levels of copper, nickel, and chromium and biomarkers of their adverse effects on blood, respiratory and immune systems for the tasks of early detection and prevention of poor health outcomes of the combined inhalation exposure to copper, nickel and chromium oxides on the example of the adult population at risk. Materials and methods: We carried out a hygienic assessment of ambient air quality in residential areas and analyzed general population incidence and prevalence for 2016–2020. We also examined the health status of women of reproductive age environmentally exposed to nickel, chromium and copper oxides in the area of residence and of relatively unexposed controls. About 5,000 chemical, clinical, immunological, and biochemical tests were done in 2022. Results: We established associations between higher blood levels of copper, nickel, and chromium and changes in the indicators of adverse health effects. Biomarkers of nonspecific and specific sensitization, chronic inflammation accompanied by an imbalance in the humoral and cellular immunity were hyperproduction of eosinophils in the nasal mucus, blood lymphocytes, specific IgG to copper, a decrease in the phagocytic index and number; lower ferritin marked disorders of iron homeostasis, higher malondialdehyde indicated induction of oxidative processes, and a decrease in antioxidant activity gave evidence of depletion of the total antioxidant activity. Conclusions: It is expedient to use our findings for early detection and subsequent substantiation of targeted measures aimed at preventing disorders of the respiratory and immune systems, blood, and certain disorders involving the immune mechanism, etiopathogenetically related to the combined exposure to the metal oxides tested.

Data science and IoT based mobile monitoring framework for hyper-local PM2.5 assessment in urban setting

Ambient air quality shows a high degree of spatiotemporal variation. It is known to impact human life and health. Obtaining meaningful estimates of human exposure to air pollutants is key to mitigating its ill effects. In order to ascertain individual exposure, pollutant information is required at high resolution. Current air quality monitoring approaches utilize static monitoring stations that are sparsely distributed across a city which in turn results in poor spatial resolution. Such stations allow only for gross assessment of air quality across a city. This work proposes a comprehensive framework for hyperlocal assessment of ambient air quality through a mobile monitoring approach. PM2.5 concentration is considered in this work as a specific air pollutant to demonstrate the framework. In order to test the efficacy of the approach, two case studies were undertaken in the city of Chennai, India as a part of this work. The first study aims at locating diurnal, spatio-temporal PM2.5 hotspots in an urban environment. These hotspots are then associated with daily anthropogenic activity. The second study enables an event centric understanding of spatio-temporal short-lived extremities in PM2.5 concentration. The results are then retrospectively associated with land use profile and anthropological activities. The mobile sensing paradigm provides a unique perspective in the assessment of such localized events. This micro-level assessment offers significant insights on the spatio-temporal variations within a city in a regular case and an extreme, event centric case. Real world applications of hyperlocal air quality assessment, such as least exposure route estimation, are also explored at the end of this work.