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Mask consumption and biomedical waste generation rate during Covid-19 pandemic: A case study of central India.
Singh, Deval; Aryan, Yash; Chavan, Digambar; Tembhare, Mamta; Dikshit, Anil Kumar; Kumar, Sunil.
  • Singh D; Environmental Science & Engineering Department, Indian Institute of Technology Bombay (IITB), Powai, Mumbai, 400 076, Maharashtra, India; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, 440 020, Maharashtra, India.
  • Aryan Y; Environmental Science & Engineering Department, Indian Institute of Technology Bombay (IITB), Powai, Mumbai, 400 076, Maharashtra, India.
  • Chavan D; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, 440 020, Maharashtra, India.
  • Tembhare M; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, 440 020, Maharashtra, India.
  • Dikshit AK; Environmental Science & Engineering Department, Indian Institute of Technology Bombay (IITB), Powai, Mumbai, 400 076, Maharashtra, India.
  • Kumar S; CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, 440 020, Maharashtra, India. Electronic address: s_kumar@neeri.res.in.
Environ Res ; 212(Pt C): 113363, 2022 09.
Article in English | MEDLINE | ID: covidwho-1814402
ABSTRACT
The rapid generation of biomedical waste (BMW) due to covid-19 pandemic has created burden on the existing municipal solid waste management (MSWM) system in both developed and developing countries. The substantial influx of covid patients in Maharashtra, India has influenced the pattern of BMW generation, especially for the yellow category of BMW and incineration facilities. The objective of the study was to estimate the daily face mask consumption (DFM) and BMW generation from May 2020 to August 2021 in Maharashtra, India. The study was carried out based on the confirmed covid 19 cases, population forecast, urban population (%), BMW generation rate (kg/bed/day), and so on. The data set for the each paramters were collected from web-portals, published reports based on previous studies. These data sets were further regrouped, processed and analyised using mathematical equations. The study also revealed that Mumbai, Pune, and Thane districts, India has contributed ≥ 60% of the DFM and BMW generation. It was found that the DFM by non-covid patients was higher compared to the covid patients (DCFM). Further, it was revealed that BMW generated in the months of July 2020 (152 tons/day), August 2020 (228 tons/day), September 2020 (364 tons/day), October 2020 (177 tons/day), March 2021 (405 tons/day), April 2021 (1,102 tons/day), May 2021 (705 tons/day), June 2021 (194 tons/day), and July 2021 (149 tons/day), exceeded the existing BMW treatment capcity of 132 tons/day. The sudden spike in covid-19 cases has influenced the pattern of DFM and BMW generation, espeicllay for the yellow category of BMW (BMWCY) and has increased the burden on BMW incineration facilities. The daily emission rates from BMW-incineration was in the order PM10> NO2> CO>SO2, with maximum emission of PM10 (85.61 kg of pollutant/day). The F-test was performed using one-way ANOVA to understand the influence of covid cases on daily face mask consumption. It was found that F-satistic of DCFM and BMWCY is more than the F-critical i.e., increase in covid cases had a significant effect on mass consumption rate and BMW generation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Waste Management / COVID-19 Type of study: Case report / Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Res Year: 2022 Document Type: Article Affiliation country: J.envres.2022.113363

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Waste Management / COVID-19 Type of study: Case report / Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Res Year: 2022 Document Type: Article Affiliation country: J.envres.2022.113363