Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Clare Butler-Ellis"'
Autor:
Ehsan Gazi, Marc Bayliss, Christine O'Sullivan, Clare Butler-Ellis, Brian France, Richard M. Clapperton, Dean Payne, Norman Govan
Publikováno v:
Journal of Applied Microbiology. 133:3424-3437
Aim To establish a basis for rapid remediation of large areas contaminated with Bacillus anthracis spores. Methods and Results Representative surfaces of wood, steel and cement were coated by nebulization with B. thuringiensis HD-1 cry- (a simulant f
Publikováno v:
Annals of Applied Biology. 179:123-133
Publikováno v:
Biosystems Engineering. 202:152-164
Models recently developed for assessing the potential exposure of residents and bystanders to pesticides through spray drift have highlighted the need for mitigation strategies to reduce exposure of members of the public. Drift-reducing equipment is
Publikováno v:
Annals of Work Exposures and Health. 62:622-632
The BREAM (Bystander and Resident Exposure Assessment Model) (Kennedy et al. in BREAM: A probabilistic bystander and resident exposure assessment model of spray drift from an agricultural boom sprayer. Comput Electron Agric 2012;88:63-71) for bystand
Autor:
Mark Ledson, Clare Butler Ellis, A. G. Lane, Catriona Cooke, Richard A. Brain, Paul Harrington, Jeff Perine, Christine O'Sullivan
Publikováno v:
Environmental Toxicology and Chemistry. 36:2465-2475
Nature of exposure is a fundamental driver in non-target terrestrial plant (NTTP) risk assessment for pesticides, consequently a novel study was designed to generate field-based drift exposure and evaluate corresponding biological effects of the herb
Autor:
Marc C. Kennedy, M. Clare Butler Ellis
Publikováno v:
Biosystems Engineering. 154:105-121
Risk assessments for pesticides and other plant protection products (PPPs) often use models to estimate the exposure of different population groups. These range from conservative, deterministic calculations to more complex simulation approaches. In a
Autor:
Richard A, Brain, Jeff, Perine, Catriona, Cooke, Clare Butler, Ellis, Paul, Harrington, Andrew, Lane, Christine, O'Sullivan, Mark, Ledson
Publikováno v:
Environmental toxicology and chemistry. 36(9)
Nature of exposure is a fundamental driver in nontarget terrestrial plant risk assessment for pesticides; consequently a novel study was designed to generate field-based drift exposure and evaluate corresponding biological effects of the herbicide me
Autor:
Cor Jacobs, Georgios Fragkoulis, Marc C. Kennedy, Rianda Gerritsen-Ebben, Lynn J. Frewer, Pieter Spanoghe, Agathi Charistou, Jan C. van de Zande, C. M. O'Sullivan, Frederik van den Berg, M. Clare Butler Ellis
Publikováno v:
Biosystems Engineering 154 (2017)
Biosystems Engineering, 154, 92-104
Biosystems Engineering, 154, 92-104
New models have been developed, with the aim of improving the estimate of exposure of residents and bystanders to agricultural pesticides for regulatory purposes. These are part of a larger suite of models also covering operators and workers. The pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c2eb81445ba0f2b0a9773682d04a63
https://research.wur.nl/en/publications/the-browse-model-for-predicting-exposures-of-residents-and-bystan
https://research.wur.nl/en/publications/the-browse-model-for-predicting-exposures-of-residents-and-bystan
Autor:
Frederik van den Berg, M. Clare Butler Ellis, Cor Jacobs, Kyriaki Machera, Niki Arapaki, Jan C. van de Zande, Alistair H. Butler, Agathi Charistou, Marc C. Kennedy
Publikováno v:
Biosystems Engineering, 154, 122-136
Biosystems Engineering 154 (2017)
Biosystems Engineering 154 (2017)
A new suite of models has been developed for assessing the exposure of bystanders, residents, operators and workers to pesticides used in agricultural applications. The aim of these ‘BROWSE’ models was to improve regulatory exposure assessment by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042f7920107ecbe7410246f29bce724d
https://research.wur.nl/en/publications/the-browse-model-for-predicting-exposures-of-residents-and-bystan-2
https://research.wur.nl/en/publications/the-browse-model-for-predicting-exposures-of-residents-and-bystan-2
Publikováno v:
Computers and Electronics in Agriculture. 88:63-71
Complex simulation models are available to predict the level of exposure to bystanders and residents after a crop spraying event. In this paper we consider a particle-tracking spray drift model whose input parameters define particular scenarios of in