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Abundance, spatial distribution, and chemical characterization of face masks on the beaches of SE Kanyakumari, India.
Karthikeyan, P; Subagunasekar, M; Lenin, N; Prabhu, K.
  • Karthikeyan P; School of Marine Sciences, Department of Oceanography and Coastal Area Studies Alagappa University, Karaikudi 630 003, Tamil Nadu, India; Department of Aquatic Biology and Fisheries, University of Kerala, Thiruvananthapuram 695 581, Kerala, India. Electronic address: pkarthikeyangold@gmail.com.
  • Subagunasekar M; Centre for Geoinformatics, School of Health Sciences & Rural Development, The Gandhigram Rural Institute, Dindigul 624 302, Tamil Nadu, India.
  • Lenin N; Department of Physics, Sethu Institute of Technology, Virudhunagar 626 115, Tamil Nadu, India.
  • Prabhu K; Department of Marine Science, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India.
Mar Pollut Bull ; 192: 115031, 2023 Jul.
Article in English | MEDLINE | ID: covidwho-2324012
ABSTRACT
Personal Protective Equipment (PPE) is a new world of waste during the COVID-19 pandemic. In this baseline study, the occurrence of PPE faces masks were assessed on the eleven beaches of Kanyakumari, India concerning the abundance, spatial distribution, and chemical characterization (ATR-FTIR spectroscopy). A total of 1593 items/m2 of PPE face masks and their mean density of 0.16 PPE/m2, ranging from 0.02 to 0.54 PPE/m2 were determined in the study area. Kanyakumari beach (n = 430 items/m2) has the highest concentration of masks (26.99 %), with a mean density of 0.54 m2 due to recreational, sewage disposal, and tourism activities. This is perhaps the most important study describing the scientific data that focuses on the significant effects of communal activities and accessibility on COVID-19 PPE face mask pollution. It also highlights the need for sufficient management facilities to optimize PPE disposal.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Country/Region as subject: Asia Language: English Journal: Mar Pollut Bull Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Country/Region as subject: Asia Language: English Journal: Mar Pollut Bull Year: 2023 Document Type: Article