Detection and identification of shape, size, and concentration of particulate matter in ambient air using bright field microscopy-based system-Reference-Cited by-同舟云学术

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Detection and identification of shape, size, and concentration of particulate matter in ambient air using bright field microscopy-based system

Published:2023-11 Issue:11 Volume:14 Page:101913
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Kumar Anand,Dhawan Sachin,Kumar M. Vijaya,Khare Mukesh,Shiva Nagendra S.M.,Dubey Satish Kumar,Mehta Dalip Singh

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference49 articles.

1. Dynamic assessment of economic and environmental performance index and generation, composition, environmental and human health risks of hospital solid waste in developing countries; A state of the art of review;Ansari;Environ. Int.,2019

2. Reconstructing primary and secondary components of PM2.5 composition for an Urban Atmosphere;Behera;Aerosol. Sci. Technol.,2010

3. Physicochemical characterisation of diesel exhaust particles: factors for assessing biological activity;Berube;Atmos. Environ.,1999

4. Using continuous PM2.5 monitoring data to report an air quality index;Bortnick;J. Air Waste Manage. Assoc.,2002

5. Air Quality Monitoring, Emission Inventory and Source Apportionment Study for Indian Cities,2011

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1. An enhanced approach for predicting air pollution using quantum support vector machine;Scientific Reports;2024-08-22

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