Real-time particle monitoring of pesticide drift from an axial fan airblast orchard sprayer.

Empirical models Environmental monitoring Exposure modeling Particulate matter Pesticides Statistical models

Journal

Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796

Informations de publication

Date de publication:
04 2019
Historique:
received: 08 02 2018
accepted: 08 10 2018
revised: 17 09 2018
pubmed: 15 11 2018
medline: 6 5 2020
entrez: 15 11 2018
Statut: ppublish

Résumé

In Washington State, a majority of reported pesticide-related illnesses and application-related complaints involve drift. We employed real-time particle monitors (Dylos) during a series of experimental spray events investigating drift. Sections of an orchard block were randomly sprayed by an axial fan airblast sprayer, while monitors sampled particulate matter above and below the canopy at various downwind locations. We found elevated particle mass concentrations (PMC) at all distances (16-74 m). The 75th percentile PMC while spraying was significantly greater than the control periods by 107 (95% CI 94-121) μg/m

Identifiants

pubmed: 30425317
doi: 10.1038/s41370-018-0090-5
pii: 10.1038/s41370-018-0090-5
pmc: PMC6469994
mid: NIHMS1510934
doi:

Substances chimiques

Particulate Matter 0
Pesticides 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

397-405

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES007033
Pays : United States
Organisme : NIEHS NIH HHS
ID : T32 ES015459
Pays : United States
Organisme : NIOSH CDC HHS
ID : T42 OH008433
Pays : United States
Organisme : NIOSH CDC HHS
ID : U54 OH007544
Pays : United States

Références

Environ Health Perspect. 2005 Jan;113(1):49-54
pubmed: 15626647
Tob Control. 2015 Mar;24(2):153-8
pubmed: 24046213
J Expo Sci Environ Epidemiol. 2009 Jan;19(1):79-89
pubmed: 18368011
J Environ Sci Health B. 2011;46(1):1-23
pubmed: 20981606
J Expo Sci Environ Epidemiol. 2014 Sep-Oct;24(5):504-9
pubmed: 24220214
Environ Sci Process Impacts. 2013 Feb;15(2):433-9
pubmed: 25208708
Occup Environ Med. 1995 Oct;52(10):648-53
pubmed: 7489054
Am J Ind Med. 2008 Dec;51(12):883-98
pubmed: 18666136
Ann Occup Hyg. 2016 Jun;60(5):597-607
pubmed: 26944922
Arch Environ Contam Toxicol. 2001 Jul;41(1):112-6
pubmed: 11385597
Environ Res. 1999 Feb;80(2 Pt 1):172-9
pubmed: 10092410
J Air Waste Manag Assoc. 2017 Dec;67(12):1342-1352
pubmed: 28829718
Environ Health Perspect. 2011 Aug;119(8):1162-9
pubmed: 21642048
Sci Total Environ. 2010 Aug 15;408(18):3840-51
pubmed: 20053420

Auteurs

Magali N Blanco (MN)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA. magali@uw.edu.

Richard A Fenske (RA)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

Edward J Kasner (EJ)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

Michael G Yost (MG)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

Edmund Seto (E)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

Elena Austin (E)

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

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