An analytical approach to confidence interval estimation of river microplastic sampling.
Confidence interval
Gamma distribution
Microplastic
Poisson distribution
Sampling error
Journal
Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476
Informations de publication
Date de publication:
15 Oct 2023
15 Oct 2023
Historique:
received:
26
04
2023
revised:
31
07
2023
accepted:
03
08
2023
medline:
18
9
2023
pubmed:
6
8
2023
entrez:
5
8
2023
Statut:
ppublish
Résumé
Microplastics (MPs), plastic particles <5 mm in diameter, are emerging ubiquitous pollutants in natural environments, including freshwater ecosystems. As rivers facilitate efficient transport among landscapes, monitoring is crucial for elucidating the origin, dynamics, and fate of MPs. However, standardized methodologies for in situ sampling in freshwater environments remain undefined to date. Specifically, evaluating the sampling error of MP concentration estimates is crucial for comparing results among studies. This study proposes a novel method for computing confidence intervals (CIs) from a single estimate of numerical concentration (expressed in particles·m
Identifiants
pubmed: 37543067
pii: S0269-7491(23)01312-X
doi: 10.1016/j.envpol.2023.122310
pii:
doi:
Substances chimiques
Microplastics
0
Plastics
0
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
122310Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.