Assessment of Air Quality Index for Cities and Major Towns in Tamil Nadu, India

Rajamanickam, Ravi; Nagan, S.

doi:10.4172/2165-784x.1000304

Cited by 6 publications

(4 citation statements)

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“…Our study observed range of site mean for G3 (3.93-7.19), G2 (8.05-11.53), G1 (11.69-34.74) are consecutively ascending in nature similar to the observed DT (G3-6.08, G2-9.71, G1-19.03), night time (G3-6.27, G2 -9.60, G1-13.59), and overall group mean (G3-6.17, G2-9.65, G1-16.31) ( Table 1). Similarly, a Madurai-based study 17 [9] has specifically underlined the importance of PM10 for vehicle-related pollution. The present study has also found highly increased PM10 in some of the TIs of G1, G2, and G3 groups [(G1/1: PM10, 1369.25); (G2/5: PM10, 113.25), and (G3/2: PM10, 600.65); Table 6].…”

Section: Discussionmentioning

confidence: 99%

“…These Korean studies highlight the need to generate evidence of air pollution by on-road vehicles and related adverse consequences on human health across the spectrum of demographic profiles. The University of Porto, Portugal [9] collected data of DT and NT for PM10, PM2.5, and PM1.0 and found these to be on a higher level with PM10 (DT mean 125+73 μg/m 3 ; NT mean 110+71 μg/m 3 ), PM2.5 (DT mean 115+68 μg/m 3 ; NT mean 108+70 μg/m 3 ), and PM1.0 (DT mean 114+68 μg/m 3 ; NT mean 107+69 μg/m 3 ). Seasonal trends of summer, autumn, winter were assessed in the Republic of Korea [7] by Korea Railroad (686.9-701.5 ppm).…”

Section: Discussionmentioning

confidence: 99%

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Public Health Threat Assessment of Vehicular Load Index-Induced Urban Air Pollution Indices Near Traffic Intersections In Central India

Gumashta

Bijlwan

2020

Cureus

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Objectives: To assess traffic vehicular load, levels of various air pollutants, their correlation at selected traffic intersections of Bhopal city and to suggest suitable public health measures. Methods: A transverse study was conducted by convenience sampling with equated distribution among vehicular load-based large (Group1:G1: 10 TI), medium (Group2:G2: 5 TI), and small (Group3:G3: 5 TI) traffic-intersections (TI) through a systematic stratified random selection of study sites to assess traffic vehicle load index (VLI).

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Public Health Threat Assessment of Vehicular Load Index-Induced Urban Air Pollution Indices Near Traffic Intersections In Central India

Gumashta

Bijlwan

2020

Cureus

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“…When an urban area or other geographic area has concentrations of a criteria pollutant below the standard it is said to be "in attainment" and the area is declared to be an "attainment area." Conversely, any area that has concentrations of a criteria pollutant above the standard is called a "nonattainment area [17,18]".…”

Section: Introductionmentioning

confidence: 99%

Determination of air quality index and its impacts on human health in Chennai City

S¹,

S²,

M³

et al. 2021

Magna Sci. Adv. Res. Rev.

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Air pollution in India particularly in metropolitan cities is a serious issue mainly due to vehicular emission, traffic congestion, burning of coal, fuelwood process. The objective of this project is to provide insightful details about the current situation of air quality across five locations in Chennai city and its impacts using an air quality detector meter. The concentration of pollutants namely Carbon dioxide (CO2), Formaldehyde (HCHO), Suspended Particulate Matter (SPM), Total Volatile Organic Compounds (TVOC) and, meteorological conditions like Temperature and Humidity are measured at five polluted areas in Chennai metropolitan city and Air Quality Index values are calculated. From the above Air Quality Index values, it is found that Marina Beach bus stop, Velachery bus stop, Mount Road government estate metro station, Koyambedu bus station, Alandur metro station are identified as problematic zones and health impacts are Published.

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“…APTI is a species-dependent attribute and expresses the inherent ability of a plant species to withstand stress emanating from pollution (Lohe et al 2015). It also informs the public of the local ambient air pollution status and the potential risk it would impose, particularly on vulnerable groups such as children, old people and those with existing cardiovascular and respiratory diseases (Rajamanickam and Nagan 2018). Categorization of plants as sensitive or tolerant is determined by the level of biochemical parameters used to compute the APTI for a species.…”

Section: Introductionmentioning

confidence: 99%

Assessment of tree species resistance to air pollution around a metal-scrap recycling factory using air pollution tolerance index and anticipated performance index

et al. 2019

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Air pollution is one of the major global tribulations in many developing cities around the world. This study evaluates pollution resistance of Terminalia catappa, Anacardium occidentale and Tectona grandis growing around a metal scrap-recycling factory in Osun state, Nigeria using air pollution tolerance index (APTI) and anticipated performance index (API) with the view of recommending the species for greenbelt development in urban spaces. Biochemical parameters such as ascorbic acid, total chlorophyll content, foliar extract pH and relative water content were analyzed in fresh leaves harvested from the tree species growing around the metal-scrap recycling factory (ES) and a relatively unpolluted control site (CS). APTI and API were obtained from the results of biochemical variables. The results showed that biochemical parameters (ascorbic acid, total chlorophyll, foliar extract pH and relative water content) and APTI varied significantly (p<0.05) among tree species and between the sites. The order of APTI varied as T. catappa (15.66) > A. occidentale (13.53) > T. grandis (13.17) with plants having a higher index at CS than at ES. All three-tree species showed intermediate tolerance but T. catappa and A. occidentale were assessed as good performers while T. grandis performed moderately in polluted sites. The study recommended T. catappa and A. occidentale over T. grandis for use in developing greenbelts in urban centres especially in highly polluted areas, such as the vicinity of factories.

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Assessment of Air Quality Index for Cities and Major Towns in Tamil Nadu, India

Cited by 6 publications

References 0 publications

Public Health Threat Assessment of Vehicular Load Index-Induced Urban Air Pollution Indices Near Traffic Intersections In Central India

Public Health Threat Assessment of Vehicular Load Index-Induced Urban Air Pollution Indices Near Traffic Intersections In Central India

Determination of air quality index and its impacts on human health in Chennai City

Assessment of tree species resistance to air pollution around a metal-scrap recycling factory using air pollution tolerance index and anticipated performance index

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