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Dhanakumar, S.
- Removal of Colour and Chemical Oxygen Demand from Textile Effluent by Fenton Oxidation Method
Abstract Views :227 |
PDF Views:72
Authors
K. Ramesh
1,
M. Balakrishnan
1,
B. Vigneshkumar
1,
A. Manju
1,
S. Dhanakumar
1,
M. Palanivel
1,
K. Kalaiselvi
1
Affiliations
1 Department of Environmental Science, PSG College of Arts and Science, Coimbatore 641 014, IN
1 Department of Environmental Science, PSG College of Arts and Science, Coimbatore 641 014, IN
Source
Current Science, Vol 113, No 11 (2017), Pagination: 2112-2119Abstract
The main objective of this study is to focus on the removal of colour and chemical oxygen demand (COD) from the secondary treated effluent (SE) and reverse osmosis (RO) concentrate, using Fenton oxidation as an advanced oxidation process. In order to identify the feasibility and economics, the experiments were conducted in these two streams of the textile-based effluent treatment plant. In this study, COD and colour removal efficiencies were observed as 75% and 94% in the SE and 85% and 99% in the RO concentrate respectively. After comparing the operating cost between these two streams, treating of SE with Fenton oxidation was found to be an economical, sustainable option for removing the colour and COD from the SE. This option will improve the performance of membrane filtration systems in effluent treatment plants that are based on zero liquid discharge.Keywords
Chemical Oxygen Demand, Colour, Fenton, Textile Effluent, ZLD.References
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- Ambient Fine Particulate Matter Pollution Over the Megacity Delhi, India: An Impact Of COVID-19 Lockdown
Abstract Views :267 |
PDF Views:79
Authors
Affiliations
1 PG and Research Department of Environmental Science, PSG College of Arts and Science, Coimbatore 641 014, IN
1 PG and Research Department of Environmental Science, PSG College of Arts and Science, Coimbatore 641 014, IN
Source
Current Science, Vol 120, No 2 (2021), Pagination: 304-312Abstract
In this study, we investigate the impact of the COVID- 19 pandemic on PM2.5 levels in the national capital city Delhi, India. PM2.5 and meteorological data from 35 ground-based monitoring stations over Delhi city are utilized for the present study. Geographic Information System-based spatial interpolation method was employed to analyse the spatial pattern of PM2.5 from January to April 2020 and compared with that of preceding years (2018–19). The findings indicate that the PM2.5 level has reduced significantly during the lockdown period. About 40% of reduction in PM2.5 concentrations is observed when compared to the prelockdown phase. Exclusively between 25 March and 30 April, about 94.44% of days were within the NAAQS 24-h standard limit of 60 μg/m3. The significant role of meteorology in the dispersal of PM2.5 over Delhi is clear from the correlation analysis. A strong negative correlation (r = –0.546) between the Temp and PM2.5 indicates the better dispersion of air pollutants during high-temperature conditions. A higher reduction in PM2.5 has been observed in Central, Northern and Eastern parts of the megacity. The present study provides insights to policymakers to prepare and implement future policy measures for controlling air pollution levels in the megacity.Keywords
Air Pollution, COVID-19, Lockdown, Particulate Matter.References
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