Assessment of the Ambient Air Quality of a Highly Industrialized Suburb of a Typical Indian City Part 1: Assessment of Quality

2020 ◽  
pp. 67-102
Author(s):  
Tasneem Abbasi ◽  
Faisal I. Khan ◽  
Tabassum-Abbasi ◽  
S. A. Abbasi
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Indian City

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

Monitoring ambient air quality in Indian city airsheds

2021 ◽  
Author(s):  
Sarath Guttikunda ◽  
Puja Jawahar ◽  
Nishadh KA
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Indian City

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.

Ambient Air Quality Monitoring Studies in Four Specific Location of Tamilnadu, India

2019 ◽  
pp. 677-683
Author(s):  
Mageshkumar P ◽  
Ramesh S ◽  
Angu Senthil K
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
High Volume ◽  
Ambient Air ◽  
Quality Parameters ◽  
Air Quality Index ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Air Sampler

A comprehensive study on the air quality was carried out in four locations namely, Tiruchengode Bus Stand, K.S.R College Campus, Pallipalayam Bus Stop and Erode Government Hospital to assess the prevailing quality of air. Ambient air sampling was carried out in four locations using a high volume air sampler and the mass concentrations of PM10, PM2.5, SO2, NOX and CO were measured. The analyzed quality parameters were compared with the values suggested by National Ambient Air Quality Standards (NAAQS). Air quality index was also calculated for the gaseous pollutants and for Particulate Matters. It was found that PM10 concentration exceeds the threshold limits in all the measured locations. The higher vehicular density is one of the main reasons for the higher concentrations of these gaseous pollutants. The air quality index results show that the selected locations come under moderate air pollution.

Ambient air quality of two metropolitan cities of Pakistan and its health implications

2001 ◽  
Vol 35 (34) ◽  
pp. 5971-5978 ◽  
Author(s):  
Pravin P Parekh ◽  
Haider A Khwaja ◽  
Adil R Khan ◽  
Ronaq R Naqvi ◽  
Abdul Malik ◽  
...  
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Health Implications ◽  
Metropolitan Cities

Analysis of Ambient Air Quality Status and Trends from 2010 to 2012 in Chengkou County of Chongqing City in China

2013 ◽  
Vol 726-731 ◽  
pp. 1427-1430
Author(s):  
Wen Hua Jiang ◽  
Dao Jin Chen ◽  
Xian Qiong Long
Keyword(s):  
Air Quality ◽  
Southwest China ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Monthly Average ◽  
Chongqing City ◽  
Quality Status

The air quality monitoring data from 2010 to 2012 in Chengkou County of Chongqing City in Southwest China was analyzed.The results show that in recent years the air pollutans affecting the air quality in Chengkou County mainly is PM10 and secondly is SO2. The monthly average concentrations of PM10 and SO2 show a U-shape trend with the highest values in January.The average concentrations of PM10 and SO2 are highest in winter and lowest in summer with obvious seasonal changes.The air quality of Chengkou in 2011 and 2011 has been somewhat improved compared with that in 2010.

scholarly journals Ambient Air Quality of Karachi City as Reflected by Atmospheric Particulate Matter (PM10) Concentrations

2016 ◽  
Vol 59 (3) ◽  
pp. 173-178
Author(s):  
Durdana Rais Hashmi ◽  
Akhtar Shareef
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Ambient Air ◽  
Urban Traffic ◽  
Atmospheric Particulate Matter ◽  
Ambient Air Quality ◽  
Urban Background ◽  
Industrial Areas ◽  
Pm10 Mass

The present study examines the variation of ambient aerosol (PM10) concentrations in Karachi, city. Samples were collected from ten different locations, representative of urban background, residential, traffic and industrial areas from 2007 to 2011. At each location, PM10 was measured continuously from 08:00 am to 06:00 pm at local time. The maximum 10 h average particulate matter (PM10) mass concentrations were found at Tibet Centre (440.1mg/m3) and minimum at PCSIR Campus (21.7mg/m3) during 2008. A rising trend during 2008 may be due to the civil works for bridges and extension of roads at different locations in Karachi. The results also suggest that urban traffic and industrial areas appeared to have higher PM10 concentration than residential and background areas.

scholarly journals ANALISIS KADAR TIMBAL (Pb) PADA JAJANAN PINGGIRAN JALAN Ir. H. JUANDA KOTA JAMBI

2018 ◽  
Vol 2 (2) ◽  
pp. 40
Author(s):  
Marhadi Marhadi ◽  
Anggrika Riyanti
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Director General ◽  
Snack Food ◽  
Ambient Air Quality ◽  
Standard Quality ◽  
Standard Set ◽  
Maximum Limit

Lead Content Analysis (Pb) On Snack Road Ir. H. Juanda City Jambi increasingly proliferation of street vendors snack on the street where the activity is quite crowded, allowing snacks that are sold can be contaminated by lead (Pb) coming from motor vehicle fumes. This study aims to determine the content of lead on street snacks and compared with the maximum limit of lead food in snack foods that have been determined by the Director General of POM in the decision of Director General of POM Number HK.00.06.1.52.4011 Year 2009 on the maximum limit of metal contamination in food that is 0,25 ppm. This research is a descriptive research that gives a picture of lead content in snack. The study was conducted on traders selling fried foods at Street H. Juanda Jambi City. Sampling using total sampling technique where for each place of sale taken three kinds of fried foods such as fried bananas, tofu contents and bakwan. Examination of laboratory test of Environment Department (DLH) Province Jambi Year 2017 got big parameter of S02 equal to 19.5 μg/nm3 whereas standard quality standard set PP. 41 of 1999 on the ambient air quality of 900 μg/nm3, for the parameter N02 of 23.0 μg/nm3, while the standard quality standard set PP. 41 of 1999 on ambient air quality of 400 μg/nm3, for lead parameters (Pb) with the result 0.082 μg/nm3, while the standard quality standard established PP. 41 year 1999 About ambient air quality of 2 μg/nm3 and dust parameter with result 80 μg/nm3 while standard quality standard set PP. 41 of 1999 on ambient air quality of 230 μg/nm3. The content of timbale in banana snack food is 0,0850%, for food bakwan is 0.0008% and for food tofu content is 0,1505% so it has not exceed the maximum limit of metal contamination in food which has been determined by Dirjen POM in decision of Dirjen POM Number HK.00.06.1.52.4011 Year 2009 is 0.25 ppm.Keywords : Ambient Air Quality, Lead (Pb), snack food

scholarly journals Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle

2019 ◽  
Vol 29 (1) ◽  
Author(s):  
Prince Chidhindi ◽  
Monray D Belelie ◽  
Roelof P Burger ◽  
Gabi Mkhatshwa ◽  
Stuart J Piketh
Keyword(s):  
Air Quality ◽  
Low Income ◽  
Power Plants ◽  
Dispersion Model ◽  
Ambient Air ◽  
Background Concentration ◽  
Monitoring Site ◽  
Ambient Air Quality ◽  
The Impact

Coal-fired power plants are considered a major source of criteria air pollutants. The existence of such activities close to densely populated areas has an impact on human health and more generally on the environment. The impact of a pollutant typically depends on its residence time and the existence of background concentration levels. This study evaluates the dispersion of PM2.5, SO2 and NOX emissions from Eskom power plants (Arnot, Hendrina, and Komati) located close to KwaZamokuhle Township. AERMOD was used to assess the contribution of each plant to the air quality of the township. This steady-state dispersion model was used to simulate surface concentrations (1-hour, 24-hour and annual average concentrations) on a 50km domain for 2015-2017. The modelled results together with data obtained from Eskom’s KwaZamokuhle monitoring site were used to estimate the extent to which these power plants contribute to the ambient air quality of KwaZamokuhle Township. The results confirm that the power plants do contribute to concentrations of PM2.5, SO2, and NOx in the ambient air of the township. However, based on a comparison between the modelled and monitored data, it was inferred that power plants are not the only significant source of these criteria pollutants. Evidence from temporal variations in the monitored data shows that domestic burning is likely the major contributor since the variability is more closely associated with burning habits. It is therefore likely that existing regulatory strategies that focus mostly on the industrial sector may not be successful in improving ambient air quality in low-income settlements like KwaZamokuhle.

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