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Jain, Manish Kumar
- Exposure to Particulate Matter in Different Regions along a Road Network, Jharia Coalfield, Dhanbad, Jharkhand, India
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Authors
Affiliations
1 Department of Environmental Science and Engineering, Indian School of Mines, Dhanbad 826 004, IN
1 Department of Environmental Science and Engineering, Indian School of Mines, Dhanbad 826 004, IN
Source
Current Science, Vol 112, No 01 (2017), Pagination: 131-139Abstract
Occupational particulate matter (PM) concentrations were measured during November 2014 along a road network in the mining and non-mining areas at Jharia coalfield, Dhanbad, Jharkhand, India. The monitoring was conducted for a week in the peak time using a portable GRIMM (model 1.109) aerosol spectrometer. Measured PM was designated as inhalable, thoracic and alveolic particles for aerodynamic diameter 10- 34, 4-10 and less than 4 m respectively. The main sources of PM along the roadside in the study area were mining operations as well as heavy traffic and resuspension of road dust. Concentration of inhalable particles was maximum at Bankmore (BMO), whereas concentration of thoracic and alveolic particles was maximum at Katrasmore (KMO) in the mining area. Concentration of all three types of particles was minimum at the Indian School of Mines in the non-mining area. The distribution curves of inhalable particles were positively skewed and platykurtic in nature, whereas for thoracic and alveolic particles these curves were positively skewed at all locations, except BMO and also platykurtic in nature, except Godhar (GDR). Contribution of alveoli particle sizes for 0.375 and 2.750 μm was observed to be significant in the mining area, whereas thoracic particle size for 5.750 μm and inhalable particle size for 22.500 μm were also observed to be higher in the mining area, except Matkuria check post and Kustaur. The results reveal that residents and local passengers were exposed to a prodigious amount of inhalable, thoracic and alveolic concentrations in the mining area, mostly at BMO, GDR and KMO.Keywords
Open Cast Coal Mining, Particulate Matter, Road Network, Traffic Volume Count.Full Text
- Landsat 8 OLI Data for Identification of Hydrothermal Alteration Zone in Singhbhum Shear Zone using Successive Band Depth Difference Technique–A New Image Processing Approach
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PDF Views:70
Authors
Affiliations
1 Indian Institute of Technology (ISM), Dhanbad 826 004, IN
2 Regional Remote Sensing Centre West, National Remote Sensing Centre, Indian Space Research Organisation, Jodhpur 342 003, IN
1 Indian Institute of Technology (ISM), Dhanbad 826 004, IN
2 Regional Remote Sensing Centre West, National Remote Sensing Centre, Indian Space Research Organisation, Jodhpur 342 003, IN
Source
Current Science, Vol 116, No 10 (2019), Pagination: 1639-1647Abstract
Recent advances in calculation algorithms have led to a new level of image processing for mineral identification and mapping. Mineral outcrop mapping has a decade’s history of using conventional methods like band combintion, band ratioing and relative absorption band depth (RBD) technique. Modification of these algorithms enriches the capabilities of object identification and mapping. Band combination and band ratioing help to locate the distribution of a hydrothermal altered zone. In the current study, an attempt has been made to modify the RBD approach. Newly introduced successive band depth difference (SBDD) measures the difference of reflectance values in successive bands by dividing the sum of the two highest successive shoulders by the shoulder of the lowest value before the starting shoulder. Band math function has been used in various bands of Landsat 8 operational land imager (OLI) data to access the precise distribution of points of the hydrothermal altered zone. SBDD method has achieved a kappa coefficient of 0.86 which depicts significant levels of accuracy.Keywords
Relative Absorption Band Depth, RGB, Signal-To-Noise Ratio, SBDD, TIRS.Full Text
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- Ambient Air Quality and Indexing with Reference to Suspended Particulate Matter and Gaseous Pollutants Around a Cement Plant in OCL India Limited, Rajgangpur, Odisha, India
Abstract Views :236 |
PDF Views:76
Authors
Affiliations
1 Paradeep Phosphates Limited, Odisha 770 017, IN
2 Department of Environmental Science and Engineering, Indian Institute of Technology, Dhanbad 826 004, IN
3 Department of Environmental Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar 751 030, IN
1 Paradeep Phosphates Limited, Odisha 770 017, IN
2 Department of Environmental Science and Engineering, Indian Institute of Technology, Dhanbad 826 004, IN
3 Department of Environmental Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar 751 030, IN
Source
Current Science, Vol 116, No 11 (2019), Pagination: 1905-1909Abstract
Cement industry is a potential anthropogenic source of air pollution. Emissions from cement plants are one of the major sources of global warming. The dusts produced were very hazardous, which affect the surrounding environment. The present study was undertaken to analyse the air quality around a cement plant (OCL India Ltd, Odisha) within 2 km radius for a period of 8 months stating from October 2016 to May 2017 at four different locations with meteorological parameters. The observed values of air pollutants are found within the prescribed standards according to Central Pollution Control Board (CPCB), New Delhi. This is possible because of the initiative taken by industries by installing advanced air trapping devices. The results of this study have been presented in the form of air quality index, where we found the study area in moderate (PM10) and good category (SO2 and NOx).Keywords
Ambient Air Quality, Cement Plant, Gaseous Pollutants, Suspended Particulate Matter.Full Text
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