Validation of the PESTLA model: Definitions, objectives and procedure

2.50
Hdl Handle:
http://hdl.handle.net/10029/257014
Title:
Validation of the PESTLA model: Definitions, objectives and procedure
Authors:
Boekhold AE; van den Bosch H; Boesten JJTI; Leistra M; Swartjes FA; van der Linden AMA
Other Titles:
[Validatie van het model PESTLA: Definities, doelstellingen en procedure.]
Abstract:
The simulation model PESTLA was developed to produce estimates of accumulation and leaching of pesticides in soil to facilitate classification of pesticides in the Dutch registration procedure. Before PESTLA can be used for quantitative assessment of expected pesticide concentrations in groundwater, its accuracy to predict field-scale pesticide leaching needs to be assessed. The project "Validation of PESTLA" aims at evaluation of the applicability of PESTLA for the current assessment procedure for pesticide registration in the Netherlands. The present report is the first in a series of reports and provides a short overview of the history of PESTLA. The objectives of the project are outlined, and some background information on the process of model development is given. The specific tasks of the project are defined in this context. A list of definitions of the terms used during the project is included. Several methods are described with which model predictions can be compared with (field) measurements of pesticide leaching. This is preceded by a discussion on statistical hypotheses, which is needed to understand the Chapters that follow. The so-called factor-of-f approach is selected as the tool to be used in the evaluation of PESTLA performance. The factor-of-f approach acknowledges that both model predictions and field measurements usually cover a range of possible values instead of one fixed value. This implies that comparison of the two must be done by statistical methods. The factor-of-f approach allows uncertainty of a size f around the predicted value. It concludes the model to be 'acceptable' when a range of measured values fall within the range of model predictions as defined by the size of the factor f. Finally, the overall approach of the project is outlined in terms of several selected activities that intend to lead to validation of PESTLA.<br>
Publisher:
Rijksinstituut voor Volksgezondheid en Milieu RIVM
Issue Date:
30-Nov-1993
URI:
http://hdl.handle.net/10029/257014
Additional Links:
http://www.rivm.nl/bibliotheek/rapporten/715802001.html
Type:
Onderzoeksrapport
Language:
en
Sponsors:
LNV/DG - Landelijke Gebieden en Kwaliteitszorg- Directie Gewasbescherming; DGM/DWL
Appears in Collections:
RIVM official reports

Full metadata record

DC FieldValue Language
dc.contributor.authorBoekhold AE-
dc.contributor.authorvan den Bosch H-
dc.contributor.authorBoesten JJTI-
dc.contributor.authorLeistra M-
dc.contributor.authorSwartjes FA-
dc.contributor.authorvan der Linden AMA-
dc.date.accessioned2012-12-12T14:57:06Z-
dc.date.available2012-12-12T14:57:06Z-
dc.date.issued1993-11-30-
dc.identifier715802001-
dc.identifier.urihttp://hdl.handle.net/10029/257014-
dc.description.abstractThe simulation model PESTLA was developed to produce estimates of accumulation and leaching of pesticides in soil to facilitate classification of pesticides in the Dutch registration procedure. Before PESTLA can be used for quantitative assessment of expected pesticide concentrations in groundwater, its accuracy to predict field-scale pesticide leaching needs to be assessed. The project "Validation of PESTLA" aims at evaluation of the applicability of PESTLA for the current assessment procedure for pesticide registration in the Netherlands. The present report is the first in a series of reports and provides a short overview of the history of PESTLA. The objectives of the project are outlined, and some background information on the process of model development is given. The specific tasks of the project are defined in this context. A list of definitions of the terms used during the project is included. Several methods are described with which model predictions can be compared with (field) measurements of pesticide leaching. This is preceded by a discussion on statistical hypotheses, which is needed to understand the Chapters that follow. The so-called factor-of-f approach is selected as the tool to be used in the evaluation of PESTLA performance. The factor-of-f approach acknowledges that both model predictions and field measurements usually cover a range of possible values instead of one fixed value. This implies that comparison of the two must be done by statistical methods. The factor-of-f approach allows uncertainty of a size f around the predicted value. It concludes the model to be 'acceptable' when a range of measured values fall within the range of model predictions as defined by the size of the factor f. Finally, the overall approach of the project is outlined in terms of several selected activities that intend to lead to validation of PESTLA.<br>en
dc.description.sponsorshipLNV/DG - Landelijke Gebieden en Kwaliteitszorg- Directie Gewasbescherming-
dc.description.sponsorshipDGM/DWL-
dc.format.extent42 p-
dc.language.isoen-
dc.publisherRijksinstituut voor Volksgezondheid en Milieu RIVM-
dc.relation.ispartofRIVM Rapport 715802001-
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/715802001.html-
dc.subject13nl
dc.subjectwiskundig modelnl
dc.subjecttestnl
dc.subjectbestrijdingsmiddelnl
dc.subjectuitspoelennl
dc.subjectmodellingen
dc.subjecttestingen
dc.subjectpesticidesen
dc.subjectleachingen
dc.subjectmodel performance assessmenten
dc.subjectuncertaintyen
dc.subjectfactor-of-f approach; statistical hypothesesen
dc.titleValidation of the PESTLA model: Definitions, objectives and procedureen
dc.title.alternative[Validatie van het model PESTLA: Definities, doelstellingen en procedure.]nl
dc.typeOnderzoeksrapport-
dc.date.updated2012-12-12T14:57:06Z-
All Items in WARP are protected by copyright, with all rights reserved, unless otherwise indicated.