scholarly journals Monitoring of ambient air quality in relation to traffic density in Bareilly City (U.P.), India

2013 ◽  
Vol 5 (2) ◽  
pp. 497-502
Author(s):  
D. R. Khanna ◽  
N. S. Nigam ◽  
R. Bhutiani
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Sampling Site ◽  
Ambient Air ◽  
Quality Data ◽  
Traffic Density ◽  
Pollution Level ◽  
Ambient Air Quality ◽  
Oak Ridge ◽  
The City

An ambient air quality study was undertaken in Bareilly city, U.P., India during the year 2010 and 2011. The seasonal air quality data was obtained from ten monitoring sites across the city considering sampling site of Cantt as control site. The maximum (713.06±55.64 µg/m3) suspended particulate matter (SPM), sulphur dioxide (SO2) (80.08±4.77 µg/m3) and nitrogen oxides (NOx) (64.98±3.53 µg/m3) level was found at Choupla during the winter 2011. Among the annual mean values of air pollutants were analyzed, SPM level was found to be above the National Ambient Air Quality Standards (NAAQS) (200 µg/m3) at all the polluted sites. SO2 and NOx levels were below the threshold limits (80 µg/m3) as per NAAQS. The ambient air quality was correlated with the traffic density in the city. The pollution level was observed to be positively correlated with traffic density which is the major source of air pollution in the city. The ambient air quality at different monitoring sites was categorized into different pollution level on the basis of Oak ridge air quality index (ORAQI). Light to moderate air pollution conditions were present at different sites. Sampling site of Choupla (SVII) observe maximum ORAQI of 64.48 and 70.81 and falls under category of moderate pollution.

scholarly journals Profil Kualitas Udara Kota Cimahi Provinsi Jawa Barat

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Eka Wardhani
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Ambient Air ◽  
Quality Parameters ◽  
Quality Analysis ◽  
Air Pollution Control ◽  
Ambient Air Quality ◽  
The City ◽  
Environmental Agency

ABSTRAKPenelitian ini bekerja sama dengan Dinas Lingkungan Hidup (DLH) Kota Cimahi dalam rangka pengendalian pencemaran udara di kota tersebut mengingat perkembangan Kota Cimahi yang terus mengalami perkembangan. Analisis kualitas udara dilakukan di laboratorium PT. Unilab Perdana yang telah mendapatkan akreditasi oleh KAN No. LP-195-IDN. Pengambilan sampel dilakukan pada tanggal 15 September 2017 sedangkan untuk analisis di laboratorium di lakukan pada tanggal 15 sampai dengan 27 September 2017. Parameter yang dianalisis yaitu SO2, CO2, NO2, O3, HC, PM10, PM2,5, Pb, NH3, dan H2S. Pengambilan sampel kualitas udara dilakukan secara langsung di lapangan di 8 titik. Berdasarkan hasil penelitian di Kota Cimahi kualitas udara masih tergolong baik hal tersebut terlibat bahwa parameter kualitas udara ambien masih memenuhi baku mutu sesuai PP 41/1999 tentang PPU. Upaya pengendalian pencemaran udara harus terus dilaksanakan mengingat angka penyakit ISPA di kota ini yang menempati posisi tertinggi dibandingkan dengan penyakit lainnya.ABSTRACTThis research is in collaboration with the Environmental Agency (DLH) of Cimahi City in order to control air pollution in the city due to the development of Cimahi City. Air quality analysis was carried out in the laboratory of PT. Unilab Perdana which has been accredited by KAN No. LP-195-IDN. Sampling was carried out on 15 September 2017 while the analysis in the laboratory was conducted on 15 to 27 September 2017. The parameters analyzed were SO2, CO2, NO2, O3, HC, PM10, PM2,5, Pb, NH3, and H2S . Air quality sampling is carried out directly in the field at 8 points. Based on the results of research in Cimahi City, air quality is still relatively good, it is involved that ambient air quality parameters still meet the quality standards according to PP 41/1999 concerning PPU. Air pollution control must continue to be carried out considering the number of lung infection diseases in this city which occupies the highest position compared to other diseases.

scholarly journals APPLICATION OF OPEN AIR MODEL (R PACKAGE) TO ANALYZE AIR POLLUTION DATA

2017 ◽  
Vol 1 (1) ◽  
pp. 94 ◽  
Author(s):  
Intan Agustine ◽  
Hernani Yulinawati ◽  
Endro Suswantoro ◽  
Dodo Gunawan
Keyword(s):  
Air Pollution ◽  
Big Data ◽  
Air Quality ◽  
Meteorological Data ◽  
Ambient Air ◽  
Quality Data ◽  
Fluctuation Analysis ◽  
Ambient Air Quality ◽  
Long Time ◽  
Air Quality Data

Air pollution problem is faced by many countries in the world. Ambient air quality studies and monitoring need a long time period of data to cover various atmospheric conditions, which create big data. A tool is needed to make easier and more effective to analyze big data. <strong>Aims: </strong>This study aims to analyze various application of <em>openair</em> model, which is available in open-source, for analyzing urban air quality data. <strong>Methodology and results: </strong>Each pollutant and meteorological data were collected through their sampling-analysis methods (active, passive or real-time) from a certain period of time. The data processed and imported in the <em>openair</em> model were presented in <em>comma separated value</em> (csv) format. The input data must consist of date-time, pollutant, and meteorological data. The analysis is done by selecting six functions: <em>theilSen</em> for trend analysis, <em>timeVariation</em> for temporal variations, <em>scatterPlot</em> for linear correlation analysis,<em> timePlot</em> for fluctuation analysis, <em>windRose</em> for wind rose creation, and <em>polarPlot</em> for creating pollution rose. Results from these functions are discussed. <strong>Conclusion, significance and impact study: </strong><em>Openair</em> model is capable of analyzing a long time air quality data. Application of <em>openair</em> model is possible to cities in Indonesia that already monitor ambient air quality but have not analyzed the data yet

scholarly journals Variation of Ambient Air Quality Scenario in Chittagong City: A Case Study of Air Pollution

2016 ◽  
Author(s):  
Md. Arif Hossen ◽  
Asiful Hoque
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
Quality Data ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Monsoon Period ◽  
Yearly Average

The ambient air quality data for particulate matter as well as criteria of gaseous pollutants were assembled during December 2013 to December 2015 from the Continuous Air Quality Monitoring Station (CAMS) located at Agrabad, Chittagong. The observation showed that during April- October, 24 hour average concentration of PM10 and PM2.5 were within the National Ambient Air Quality Standard (NAAQS) level but it increased occasionally by more than two and a half times during the whole non-monsoon period (November-March). The highest values found of PM2.5 were 321.1 &micro;g/m3 in January, 2013 and 220.34 &micro;g/m3 in December 2015. Whether, the highest alarming concentration of PM10 was reported as 474 &micro;g/m3 in January 2007. The other gaseous pollutants such as SO2, NO2, O3, CO and Hydrocarbons remain well within the permissible limit except dry non-monsoon period. The yearly average increase of Air Quality Index (AQI) value indicates the growth rate of air pollution in Chittagong city. The main responsible pollutant for air pollution is found PM2.5.

scholarly journals Assessment of Air Pollution status during COVID-19 Lockdown (Mar-May 2020) over Bangalore City in India

2021 ◽  
Author(s):  
K C Gouda ◽  
Priya Singh ◽  
P Nikhilasuma ◽  
Mahendra Benke ◽  
Reshama Kumari ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Control Board ◽  
Ambient Concentration ◽  
The City ◽  
Concentration Of Air Pollutants

Abstract The Coronavirus disease 2019 (COVID-19), which became a global pandemic by March 2020 (WHO, 2020), forced almost all countries over the world to impose the lockdown as a measure of social distancing to control the spread of infection. India also strictly implemented a countrywide lockdown, starting from 24th March onwards. This measure resulted in the reduction of the sources of air pollution in general; industrial, commercial, and vehicular pollution in particular, with visible improvement in Ambient Air Quality. In this study, the impact of COVID-19 lockdown on the ambient concentration of air pollutants over the city of Bengaluru (India) is assessed using Continuous Ambient Air Quality Measurement (CAAQM) data from 10 monitoring stations spread across the city. The data was obtained from Central Pollution Control Board (CPCB) and Karnataka State Pollution Control Board (KSPCB). The analysis of the relative changes in the ambient concentration of six major air pollutants (NO, NO2, NOX, PM2.5, O3, and SO2) been carried out for two periods; March-May 2020 (COVID-19 lockdown) and the corresponding period of 2019 which was Non-COVID. The analysis revealed significant reduction in the concentration of ambient air pollutants at both daily and monthly intervals. This can be attributed to the reduction in sources of emission; vehicular traffic, industrial, and other activities. The average reduction in the concentration of NO, NO2, NOX, PM2.5, and O3 between 1st March to 12th May 2020 was found to be 63%, 48%, 48%, 18%, and 23% respectively when compared to the same period in 2019. Similarly, the comparative analysis of pollutant concentrations between pre-lockdown (March 01- March 23) and lockdown (Mar 24-May 12) period, shown a huge reduction in the ambient concentration of air pollutants; 47.3% (NO), 49% (NO2), 49% (NOX), 10% (SO2), 37.7% (PM2.5), and 15.6% (O3), resulting in improved air quality over Bangalore during the COVID-19 lockdown period. It is shown that the strict lockdown resulted in a significant reduction in the pollution levels. Such lockdowns may be useful as emergency intervention strategies to control air pollution in megacities when ambient air quality deteriorates dangerously.

scholarly journals Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare

2021 ◽  
Author(s):  
Shwet Ketu ◽  
Pramod Kumar Mishra
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Class Imbalance ◽  
Imbalanced Data ◽  
Classification Algorithm ◽  
Quality Data ◽  
Pollution Level ◽  
Classification Problems ◽  
Chi Square ◽  
The Impact

AbstractIn the last decade, we have seen drastic changes in the air pollution level, which has become a critical environmental issue. It should be handled carefully towards making the solutions for proficient healthcare. Reducing the impact of air pollution on human health is possible only if the data is correctly classified. In numerous classification problems, we are facing the class imbalance issue. Learning from imbalanced data is always a challenging task for researchers, and from time to time, possible solutions have been developed by researchers. In this paper, we are focused on dealing with the imbalanced class distribution in a way that the classification algorithm will not compromise its performance. The proposed algorithm is based on the concept of the adjusting kernel scaling (AKS) method to deal with the multi-class imbalanced dataset. The kernel function's selection has been evaluated with the help of weighting criteria and the chi-square test. All the experimental evaluation has been performed on sensor-based Indian Central Pollution Control Board (CPCB) dataset. The proposed algorithm with the highest accuracy of 99.66% wins the race among all the classification algorithms i.e. Adaboost (59.72%), Multi-Layer Perceptron (95.71%), GaussianNB (80.87%), and SVM (96.92). The results of the proposed algorithm are also better than the existing literature methods. It is also clear from these results that our proposed algorithm is efficient for dealing with class imbalance problems along with enhanced performance. Thus, accurate classification of air quality through our proposed algorithm will be useful for improving the existing preventive policies and will also help in enhancing the capabilities of effective emergency response in the worst pollution situation.

scholarly journals ASSESSMENT OF AMBIENT AIR QUALITY AND DEVELOPMENT OF GREEN BELT AROUND INDUSTRIES IN ASSAM USING SELECTIVE TREE AND PLANT SPECIES

2020 ◽  
pp. 610-613
Author(s):  
Jiban Jyoti Das
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Plant Species ◽  
Ambient Air ◽  
Tolerance Index ◽  
Ambient Air Quality ◽  
Sensitive Species ◽  
Green Belt ◽  
Pollution Tolerance ◽  
Air Pollution Tolerance Index

Industrialization is an important aspect of a growing economy. However, rapid industrialization has caused many serious impacts on the environment. One such impact is the deteriorating air quality, especially around industries. It is said that afforestation is the best and simplest way for improving the air quality. Also, trees and plants have been increasingly used as filters for dust particles around the home, traffic roads, etc. In scientific studies, it has also been found that trees and plant leaves can be used to assess the ambient air quality by an index called the Air pollution tolerance index. A literature search has been done on the scientific database like Sciencedirect and Researchgate to review the existing knowledge of Air pollution tolerance index and to find the tolerant and sensitive species based on it so that these species can be selectively planted to assess the ambient air quality and also to develop a better green belt around refineries and industries in Assam. The study has reviewed the linkage of the impact of air pollution on leaves of plants and trees through scientific evidence. Through such scientific reviews, the most tolerant species of trees and plants were chosen with the condition that it can grow under the climatic condition of Assam. The recommendation and suggestions of tolerant tree and plant species can be used for specific species plantations for developing green belts around refineries and industries in Assam. The recommendation of sensitive species can be used for monitoring ambient air quality with reference to other standard procedures. KEYWORDS: Air pollution tolerance index, Industries, Air- pollution, Green belt

scholarly journals A review on Assessment of Air Pollution due to Vehicular Emission in Traffic Area

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Aneri A. Desai
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Motor Vehicles ◽  
Monitoring And Control ◽  
Ambient Air Quality ◽  
Vehicular Emission ◽  
Rapid Urbanization ◽  
Air Pollution Monitoring

In Indian metropolitan cities, the extensive growth of the motor vehicles has resulted in the deterioration of environmental quality and human health. The concentrations of pollutants at major traffic areas are exceeding the permissible limits. Public are facing severe respiratory diseases and other deadly cardio-vascular diseases In India. Immediate needs for vehicular air pollution monitoring and control strategies for urban cities are necessary. Vehicular emission is the main source of deteriorating the ambient air quality of major Indian cities due to rapid urbanization. Total vehicular population is increased to 15 Lacks as per recorded data of Regional Transport Organization (RTO) till 2014-2015. This study is focused on the assessment of major air pollution parameters responsible for the air pollution due to vehicular emission. The major air pollutants responsible for air pollution due to vehicular emissions are PM10, PM2.5, Sox, Nox, HC, CO2 and CO and Other meterological parameters like Ambient temperature, Humidity, Wind direction and Wind Speed. Sampling and analysis of parameters is carried out according to National Ambient Air Quality Standards Guidelines (NAAQS) (2009) and IS 5128.

An assessment of ambient air quality using AQI and exceedance factor for Udaipur City, Rajasthan (India)

2021 ◽  
pp. 94-106
Author(s):  
Porush Kumar ◽  
Kuldeep ◽  
Nilima Gautam
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Urban Air Pollution ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Urban Air ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Control Board

Air pollution is a severe issue of concern worldwide due to its most significant environmental risk to human health today. All substances that appear in excessive amounts in the environment, such as PM10, NO2, or SO2, may be associated with severe health problems. Anthropogenic sources of these pollutants are mainly responsible for the deterioration of urban air quality. These sources include stationary point sources, mobile sources, waste disposal landfills, open burning, and similar others. Due to these pollutants, people are at increased risk of various serious diseases like breathing problems and heart disease, and the death rate due to these diseases can also increase. Hence, air quality monitoring is essential in urban areas to control and regulate the emission of these pollutants to reduce the health impacts on human beings. Udaipur has been selected for the assessment of air quality with monitored air quality data. Air quality monitoring stations in Udaipur city are operated by the CPCB (Central Pollution Control Board) and RSPCB (Rajasthan State Pollution Control Board). The purpose of this study is to characterize the level of urban air pollution through the measurement of PM10, NO2, or SO2 in Udaipur city, Rajasthan (India). Four sampling locations were selected for Udaipur city to assess the effect of urban air pollution and ambient air quality, and it was monitored for a year from 1st January 2019 to 31st December 2019. The air quality index has been calculated with measured values of PM10, NO2, and SO2. The concentration of PM10 is at a critical level of pollution and primarily responsible for bad air quality and high air quality Index in Udaipur city.

scholarly journals Ambient Air Quality in the Czech Republic: Past and Present

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 214 ◽  
Author(s):  
Iva Hůnová
Keyword(s):  
Air Pollution ◽  
Czech Republic ◽  
Air Quality ◽  
Transition Period ◽  
Ground Level ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Ambient Air Quality ◽  
Limit Values ◽  
Pollution Impacts

Based on an analysis of related core papers and reports, this review presents a historical perspective on ambient air pollution and ambient air quality development in the modern-day Czech Republic (CR) over the past seven decades, i.e., from the 1950s to the present. It offers insights into major air pollution problems, reveals the main hot spots and problematic regions and indicates the principal air pollutants in the CR. Air pollution is not presented as a stand-alone problem, but in the wider context of air pollution impacts both on human health and the environment in the CR. The review is arranged into three main parts: (1) the time period until the Velvet Revolution of 1989, (2) the transition period of the 1990s and (3) the modern period after 2000. Obviously, a major improvement in ambient air quality has been achieved since the 1970s and 1980s, when air pollution in the former Czechoslovakia culminated. Nevertheless, new challenges including fine aerosol, benzo[a]pyrene and ground-level ozone, of which the limit values are still vastly exceeded, have emerged. Furthermore, in spite of a significant reduction in overall emissions, the atmospheric deposition of nitrogen, in particular, remains high in some regions.

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