The POCER indicator: A decision tool for non-agricultural pesticide use

Pest Management Science

Volumn 61, Issue 8, 2005, Pages 779-786

  Claeys, Sara ^a   Vagenende, Bénédicte ^a   De Smet, Bart ^a   Lelieur, Liesbeth ^a   Steurbaut, Walter ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Environment; Human health; Indicator; Non agricultural; Pesticide reduction; POCER

Indexed keywords

PESTICIDE;

HEALTH RISK; PESTICIDE;

ARTICLE; DECISION SUPPORT SYSTEM; ENVIRONMENTAL EXPOSURE; HUMAN; POLLUTANT; PUBLIC HEALTH; RISK ASSESSMENT; THEORETICAL MODEL;

DECISION SUPPORT TECHNIQUES; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL POLLUTANTS; HUMANS; MODELS, THEORETICAL; PESTICIDES; PUBLIC HEALTH; RISK ASSESSMENT;

APOIDEA; ARTHROPODA; AVES; PHERETIMA SIEBOLDI;

EID: 22344437366     PISSN: 1526498X     EISSN: None     Source Type: Journal    
DOI: 10.1002/ps.1062     Document Type: Article

References (14)

1. Ministerie van de Vlaamse Gemeenschap, Decreet houdende vermindering van het gebruik van bestrijdingsmiddelen door openbare diensten in het Vlaamse Gewest. Belgisch Staatsblad 31/01:3391-3392 (2002).
2. Vercruysse F and Steurbaut W, POCER: the pesticide occupational and environmental risk indicator. Crop Prot 21:307-315 (2002).
3. CEC, Council Directive 94/43/EC, Establishing Annex VI to Directive 91/414/EEC. Off J Eur Union L227:1-31 (1994).
4. EUROPOEM, The development, maintenance and dissemination of a European Predictive Operator Exposure Model (EUROPOEM) Database, final report. BIBRA International, Carshalton, United Kingdom, 51 pp (1996).
5. CEC, Council Directive 91/414/EC of 15 July 1991 concerning the placing of plant protection products on the market. Off J Eur Union L230:1-32 (1991).
6. Pussemier L, A system for predicting the environmental impact of pesticides in Belgium (SyPEP), in Comparing environmental risk indicators for pesticides, ed by Reus J, Leendertse P and Bockstalleret C, CLM, Utrecht, The Netherlands, pp 131-140 (1999).
7. Beernaerts S and Pussemier L, Estimation des pertes en produits phytosanitaire vers les eaux superficielles et souterraines dans les différents basins hydrographiques belges, Ministère des Classes Moyennes et de l'Agriculture, CODA, Tervuren, Belgique, 93 pp (1997).
8. Gustafson DI, Groundwater ubiquity score: a simple method for assessing pesticide leachability. Environ Toxicol Chem 8:339-357 (1989).
9. Ganzelmeier H, Rautmann D, Spangenberg R, Streloke M, Herrmann M, Wenzelburger HJ and Walter HF, Studies on the drift of plant protection products; results of a test programme carried out throughout the Federal Republic of Germany, Mitt Bundesforsch, Heft 305, Blackwell Wissenschaftsverlag Gmbh, Berlin-Wien, 111 pp (1995).
10. OECD, Report of the OECD Pesticide Aquatic Risk Indicator Expert Group, Paris, April 2000, 56 pp (2000).
11. Lutz W, Berechnung von Hochwasserabflüssen unter Anwendung von Gebietskenngrössen, Mittig Inst Hydrologie Wasserwirtschaft, Universität Kassel (1984).
12. Maniak U, Regionalisierung von Parametern für Hochwasserabflussganglinien, in Regionalisierung der Hydrologie, Mittlg Senatskomm Für Wasser, ed by Kleeberg HB, DFG, Germany, vol 11, pp 325-332 (1992).
13. Hollis JM, Syed BMA, Shepherd A and Ramwell CT, Predicting herbicide loss from hard surfaces: scenario characterisation and model concepts, in Proc Brighton Crop Prot Conf - Weeds, BCPC, Farnham, Surrey, UK, pp 549-556 (1999).
14. Beinat E and Van den Berg R, Euphids, a decision support system for the admission of pesticides, Report 712 405 002, National Institute of Public Health and the Environment, Bilthoven, The Netherlands (1996).