scholarly journals Comparative Assessment of Air Quality in Igwuruta and Aluu, Rivers State, Nigeria

2020 ◽  
Vol 24 (4) ◽  
pp. 607-614
Author(s):  
S.M.O. Akhionbare ◽  
O.G. Okweri-Eric ◽  
C.E. Ihejirika
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Ambient Air ◽  
Comparative Assessment ◽  
Criteria Pollutants ◽  
Suspended Particulate ◽  
Volatile Organic ◽  
Available Technology ◽  
Rivers State

This study investigated the air quality of Aluu and Igwuruta communities both in Obio-Akpor Local Government Area of Rivers State, using carbon monoxide (CO), nitrogen dioxide (NO2), Sulphur dioxide (SO2), suspended particulate matter (SPM), Methare (CH4), ammonia (NH3) Ozone (03) and Volatile Organic Compound (VOCs) as indices. Sampling was done at eighteen (18) locations within Aluu and Igwuruta at graded distances from the two (2) flare points located within the study area. Ambient air temperature, relative humility and windspeed were also measured for the location. Results showed the following levels for Aluu: CO; 934.2 ± 6.5 μg/m3, NO2; 1451.4 ± 14.28 μg/m3, SO2; 243.3 ± 9.085 μg/m3, NH3; 2167.3 ± 8.916 μg/m3, CH4; 34734.5 ± 9.55 μg/m3, SPM; 23.55 ± 6.05 μg/m3, O3; 14.795 ± 6.33 μg/m3 and VOC; 4.04 ± 1.842 μg/m3 while for Igwuruta, results are given as: CO; 460 ± 6.81 μg/m3, SPM; 95.7 ± 3.588 μg/m3, NO2; 1300.75 ± 4.681 μg/m3, SO2; 1191.72 ± 13.127 μg/m3, SO2; 1191.72 ± 13.127 μg/m3, NH3; 554.05 ± 9.241 μg/m3, CH4; 15078.8 ± 10.74 μg/m3, O3; 17.464 ± 1.696 and VOC; 4.659 ± 1.059 μg/m3. The dominant pollutants were NO2, SO2, NH3 and CH4. These results raises concern on possible health risk on community dwellers while Igwuruta had higher levels than Aluu in NO2 and SO2 levels. It is therefore recommended among others, that gas to energy conversion approach is a readily available technology that can be used to curb the menance of environmental pollution due to gas flaring at the same time harnessing the commodity value of the associated gases currently being flared. Key words: criteria pollutants, reinforcement, Igwuruta, Aluu, health effects

Air Pollution, Air Quality, and Climate Change

Heat Advisory ◽  
2016 ◽  
Author(s):  
Alan H. Lockwood
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Quality Standards ◽  
Ambient Air ◽  
Ozone Production ◽  
Atmospheric Water ◽  
Particulate Pollution ◽  
Volatile Organic

The effects of climate change on air quality are difficult to model due to the large number of unpredictable variables. Hotter temperatures favor ozone production. Higher atmospheric water content may blunt this effect in some regions. Higher levels of natural volatile organic compounds (VOCs), such as terpenes from plants, are likely to act synergistically with anthropogenic VOCs to favor ozone production. Droughts increase wildfire risks that produce particulate pollution and carbon monoxide, a VOC involved in ozone production. Some models predict increased ozone concentrations in many urban settings. Future revisions of National Ambient Air Quality Standards, a process driven by politics and science, should consider these effects.

Comparative Assessment of Ambient Air Quality of Major Cities of Pakistan

MAPAN ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Amtul B. Tabinda ◽  
Haider Ali ◽  
Abdullah Yasar ◽  
Rizwan Rasheed ◽  
Adeel Mahmood ◽  
...  
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Comparative Assessment ◽  
Ambient Air Quality

scholarly journals Volatile Organic Compounds (VOCs) Emitted from Coated Furniture Units

Coatings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 806
Author(s):  
Ozge Cemiloglu Ulker ◽  
Onur Ulker ◽  
Salim Hiziroglu
Keyword(s):  
Air Quality ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Indoor Air ◽  
Exposure Period ◽  
Point Of View ◽  
Health Concerns ◽  
Volatile Organic ◽  
Significant Health

Volatile organic compounds (VOCs) are the main source influencing the overall air quality of an environment. It is a well-known fact that coated furniture units, in the form of paints and varnishes, emit VOCs, reducing the air quality and resulting in significant health problems. Exposure time to such compounds is also an important parameter regarding their possible health effects. Such issues also have a greater influence when the exposure period is extended. The main objective of this study was to review some of the important factors for the emission of VOCs from coated furniture, from the perspective of material characteristics, as well as health concerns. Some methods for controlling VOC emissions to improve indoor air quality, from the point of view recent regulations and suggestions, are also presented in this work.

scholarly journals Impact of COVID-19 induced lockdown and unlock down phases on the ambient air quality of Delhi, capital city of India

Urban Climate ◽  
2021 ◽  
pp. 100945
Author(s):  
Mayank Pandey ◽  
M.P. George ◽  
R.K. Gupta ◽  
Deepak Gusain ◽  
Atul Dwivedi
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Capital City ◽  
Ambient Air Quality

scholarly journals Ambient Air Quality Classification by Grey Wolf Optimizer Based Support Vector Machine

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Akash Saxena ◽  
Shalini Shekhawat
Keyword(s):  
Support Vector Machine ◽  
Air Quality ◽  
Industrial Development ◽  
Learning Algorithm ◽  
Ambient Air ◽  
Support Vector ◽  
Grey Wolf Optimizer ◽  
Mathematical Framework ◽  
Primary Concern

With the development of society along with an escalating population, the concerns regarding public health have cropped up. The quality of air becomes primary concern regarding constant increase in the number of vehicles and industrial development. With this concern, several indices have been proposed to indicate the pollutant concentrations. In this paper, we present a mathematical framework to formulate a Cumulative Index (CI) on the basis of an individual concentration of four major pollutants (SO2, NO2, PM2.5, and PM10). Further, a supervised learning algorithm based classifier is proposed. This classifier employs support vector machine (SVM) to classify air quality into two types, that is, good or harmful. The potential inputs for this classifier are the calculated values of CIs. The efficacy of the classifier is tested on the real data of three locations: Kolkata, Delhi, and Bhopal. It is observed that the classifier performs well to classify the quality of air.

scholarly journals A Comparative Study between Pre-construction and Construction Phases of Champhai-Zokhawthar Road Construction, Mizoram: Air Quality and Noise Quality Assessments

2019 ◽  
Vol 7 (1) ◽  
pp. 47-53
Author(s):  
Lalven tluanga ◽  
◽  
H. Lalramnghinglova
Keyword(s):  
Economic Growth ◽  
Particulate Matter ◽  
Air Quality ◽  
Comparative Study ◽  
Noise Level ◽  
Road Construction ◽  
Suspended Particulate ◽  
The Mean ◽  
Negative Impacts

In recent years, Mizoram has made immense progress in various sectors and initiated developmental programmes for its economic growth. An important contributing factor to this development and growth is the transport connectivity projects. Although connectivity projects can boost economic growth, its negative effects cannot be neglected. In view of this, the present research studies the impacts of Champhai – Zokhawthar road construction on the air quality and noise quality of the region. This comparative study of the impact on the quality of air and noise pollution in the pre-construction phase and construction phase provide a clear-cut example of the negative impacts caused by road construction and provide a fresh outlook for formulation of improved management plans. Air quality assessment was carried out using High Volume Air Sampler and the following parameters were monitored – suspended particulate matter (SPM), respirable suspended particulate matter (RSPM), nitrogen dioxide (NO2) and sulphur dioxide (SO2). The results indicate that mean SPM concentration was increased by 22.82 µg/m3; RSPM concentration by 14.67 µg/m3; NO2 concentration by 4.08 µg/m3; and SO2 concentration was increased by 0.06 µg/m3 from the pre-construction phase to construction phase. Noise quality assessment was carried out at three sites – Zotlang, Melbuk and Zokhawthar by using Lutron SL-4001 Sound Level Meter and Leq, Lmax and Lmin were recorded and calculated. The mean noise level at Zotlang wasincreased by 8.72 dB (A) and at Melbuk the mean noise level was increased by 9.35 dB (A). However, at Zokhawthar, there was a decrease in mean noise level by 0.13 dB (A). From the present study, it is evident that road construction poses a threat to the air quality and noise quality of the study area and improved measuresneed to betaken to curb its negative impacts

scholarly journals Ambient Air Quality Assessment with Particular Reference to Particulates in Western part of Jharia Coalfield, India

2015 ◽  
Vol 10 (2) ◽  
pp. 523-528 ◽  
Author(s):  
Gurdeep Singh ◽  
Amarjeet Singh
Keyword(s):  
Air Quality ◽  
Power Plants ◽  
Environmental Parameters ◽  
Ambient Air ◽  
Primary Energy ◽  
Underground Mines ◽  
Opencast Mining ◽  
Ambient Air Quality ◽  
Jharia Coalfield

India is in the list of fastest growing countries of the world. India's energy needs are also increasing due to population and industrial growth for improving quality of living style. In India, coal is major input infrastructure industries for example Power plants, Steel plants and Cement industries. India’s 52% of primary energy is coal dependent1. 66% of India's power generation depends upon coal production1. Jharia Coalfield (JCF) is falling in the Lower Gondwana Coalfields of India. The area of the JCF is about 450 km2. It is important for the major supply of precious coking coal required for steel plants in India. It is located in Dhanbad district of Jharkhand state of India, The latitude is 23° 39' to 23° 48' N and longitude is 86° 11' to 86° 27' E for the Jharia coalfield. Based on environmental parameters, all the 103 mines of BCCL have been grouped under 17 Clusters. A cluster consists of a group of mines with mine lease boundary lying in close vicinity and includes-Operating mines, Abandoned/ closed mines and proposed projects.The focused study area is in the western part of the Jharia coalfield is named as Cluster XV group of mines of BCCL consists of four mines, Kharkharee Colliery (UG), Dharmaband Colliery (UG), Madhuband Colliery (UG) and Phularitand Colliery (UG) .The present study was carried out with the objective to measure the ambient air quality of the study area with reference to particulate matter (SPM, PM10 & PM2.5). Ambient air monitoring results have shown that the observe air quality were found within the limit prescribed by MoEF / CPCB. It may due to Underground mines as there are pollution causing lesser activities involved in the UG mining process compared to opencast mining. Implementation of Master plan for Jharia coalfields for environmental management has also improve the air quality in the area10,11.

scholarly journals Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States

2016 ◽  
Author(s):  
Wan Jiao ◽  
Gayle Hagler ◽  
Ronald Williams ◽  
Robert Sharpe ◽  
Ryan Brown ◽  
...  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Sensor Network ◽  
Correlation Coefficient ◽  
Low Cost ◽  
Ambient Air ◽  
Sensor Technology ◽  
Sensor Performance

Abstract. Advances in air pollution sensor technology have enabled the development of small and low cost systems to measure outdoor air pollution. The deployment of a large number of sensors across a small geographic area would have potential benefits to supplement traditional monitoring networks with additional geographic and temporal measurement resolution, if the data quality were sufficient. To understand the capability of emerging air sensor technology, the Community Air Sensor Network (CAIRSENSE) project deployed low cost, continuous and commercially-available air pollution sensors at a regulatory air monitoring site and as a local sensor network over a surrounding ~ 2 km area in Southeastern U.S. Co-location of sensors measuring oxides of nitrogen, ozone, carbon monoxide, sulfur dioxide, and particles revealed highly variable performance, both in terms of comparison to a reference monitor as well as whether multiple identical sensors reproduced the same signal. Multiple ozone, nitrogen dioxide, and carbon monoxide sensors revealed low to very high correlation with a reference monitor, with Pearson sample correlation coefficient (r) ranging from 0.39 to 0.97, −0.25 to 0.76, −0.40 to 0.82, respectively. The only sulfur dioxide sensor tested revealed no correlation (r  0.5), step-wise multiple linear regression was performed to determine if ambient temperature, relative humidity (RH), or age of the sensor in sampling days could be used in a correction algorithm to improve the agreement. Maximum improvement in agreement with a reference, incorporating all factors, was observed for an NO2 sensor (multiple correlation coefficient R2adj-orig = 0.57, R2adj-final = 0.81); however, other sensors showed no apparent improvement in agreement. A four-node sensor network was successfully able to capture ozone (2 nodes) and PM (4 nodes) data for an 8 month period of time and show expected diurnal concentration patterns, as well as potential ozone titration due to near-by traffic emissions. Overall, this study demonstrates a straightforward methodology for establishing low-cost air quality sensor performance in a real-world setting and demonstrates the feasibility of deploying a local sensor network to measure ambient air quality trends.

scholarly journals Emission from Uyo Main Refuse Dumpsite and Potential Impact on Health

2020 ◽  
pp. 8-13
Author(s):  
S. A. Nta ◽  
M. J. Ayotamuno ◽  
A. H. Igoni ◽  
R. N. Okparanma
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Ambient Air ◽  
Air Quality Index ◽  
Volatile Organic Carbon ◽  
Highly Sensitive ◽  
Volatile Organic ◽  
Landfill Emissions ◽  
Potential Impact ◽  
Pm2.5 And Pm10

This paper presents potential impact on health of emission from landfill site on Uyo village road, Uyo local government area of Akwa Ibom State, Nigeria. Three sampling points were assessed for particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), hydrogen sulphide H2S, ammonia (NH3), total volatile organic carbon (TVOC) and hydrogen cyanide (HCN) using highly sensitive digital portable meters. The data obtained were expressed in terms of an air quality index. Air quality index indicates that the ambient air can be described as unhealthy for sensitive groups for NO2, unhealthy for SO2 and PM2.5 and moderate for CO, respectively. H2S, NH3, TVOC, HCN, PM10 were not indicated in USEPA air quality standards. It recommended that stringent and proper landfill emissions management together with appropriate burning of wastes should be considered in the study area to ease the risks associated with these pollutants on public health.

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