Estimating 42 pesticide sampling rates by POCIS and POCIS-MIP samplers for groundwater monitoring: a pilot-scale calibration.

Calibration data Experimental pilot Groundwater POCIS POCIS-MIP Passive sampling

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
May 2020
Historique:
received: 24 10 2019
accepted: 10 03 2020
pubmed: 22 3 2020
medline: 11 7 2020
entrez: 22 3 2020
Statut: ppublish

Résumé

Pesticides occur in groundwater as a result of agricultural activity. Their monitoring under the Water Framework Directive is based on only a few spot-sampling measurements per year despite their temporal variability. Passive sampling, which was successfully tested in surface water to provide a more representative assessment of contamination, could be applied to groundwater for a better definition of its contamination. However, few reliable calibration data under low water flow are available. The objective of our study thus consisted in determining sampling rates by two types of passive samplers, a POCIS (polar organic chemical integrative sampler) for polar pesticides, and a POCIS-MIP sampler based on a receiving phase of molecular imprinted polymers, specific for AMPA and glyphosate under low flow conditions as exist in groundwater. To our knowledge, this is the first time that sampling rates (sampling rate represents the volume of water from which the analyte is quantitatively extracted by the sampler per unit time) are estimated for groundwater applications. Our calibrations took place in an experimental pilot filled with groundwater and with low water flow (a few metres per day). Pesticide uptake in POCIS showed good linearity, with up to 28 days before reaching equilibrium. Two types of accumulation in POCIS were noted (a linear pattern up to 28 days, and after a time lag of 7 to 14 days). Sampling rates for 38 compounds were calculated and compared with those available in the literature or obtained previously under laboratory conditions. The values obtained were lower by a factor 1 to 14 than those estimated under stirring conditions in the literature, whereas water flow velocity (m s

Identifiants

pubmed: 32198689
doi: 10.1007/s11356-020-08385-0
pii: 10.1007/s11356-020-08385-0
doi:

Substances chimiques

Pesticides 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18565-18576

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-11-ECOT-0003

Auteurs

Catherine Berho (C)

Water, Environment Process Development and Analysis Division, Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans cedex 2, France. c.berho@brgm.fr.

Samuel Robert (S)

SUEZ, CIRSEE, 38 rue du président Wilson, 78230, le Pecq, France.

Charlotte Coureau (C)

Water, Environment Process Development and Analysis Division, Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans cedex 2, France.

Emeline Coisy (E)

Water, Environment Process Development and Analysis Division, Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans cedex 2, France.

Anne Berrehouc (A)

Water, Environment Process Development and Analysis Division, Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans cedex 2, France.

Laurence Amalric (L)

Water, Environment Process Development and Analysis Division, Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans cedex 2, France.

Auguste Bruchet (A)

SUEZ, CIRSEE, 38 rue du président Wilson, 78230, le Pecq, France.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Rivers Turkey Biodiversity Environmental Monitoring Animals
1.00
Iran Environmental Monitoring Seasons Ecosystem Forests
Nigeria Environmental Monitoring Solid Waste Waste Disposal Facilities Refuse Disposal

Classifications MeSH