Document Detail


Calibration and validation of a dynamic water model in agricultural scenarios.
MedLine Citation:
PMID:  17765289     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A dynamic aquatic model (DynA model) was previously developed to predict the fate of a chemical in aquatic scenarios characterized by daily or periodic changes in several input parameters. DynA model is here calibrated with data obtained from the literature in specific unsteady state scenarios, such as those of rice fields. The results obtained for two herbicides (cinosulfuron and pretilachlor) in rice paddy scenarios revealed the capability of the model to accurately predict water and sediment concentrations, as shown by some statistical indicators. Modelling efficiency (EF) values of 0.86-0.99 for the water compartment and of 0.77-0.84 for sediment show the good agreement between predicted and measured concentrations. An "external validation" was performed using measured data for a different herbicide (molinate) applied in a Portuguese paddy rice scenario. A sensitivity analysis for this volatile chemical revealed the influence of some climatic parameters (e.g. temperature) to the model outcomes, such as water and sediment concentrations. This confirmed the capability of DynA model as an efficient tool for the pesticide risk assessment in dynamic scenarios.
Authors:
Alfonso Infantino; Teresa Pereira; Claudia Ferrari; Maria José Cerejeira; Antonio Di Guardo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-08-31
Journal Detail:
Title:  Chemosphere     Volume:  70     ISSN:  0045-6535     ISO Abbreviation:  Chemosphere     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2008-01-08     Completed Date:  2008-04-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0320657     Medline TA:  Chemosphere     Country:  England    
Other Details:
Languages:  eng     Pagination:  1298-308     Citation Subset:  IM    
Affiliation:
Department of Chemical and Environmental Sciences, University of Insubria, Via Valleggio, 11, 22100 Como CO, Italy.
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MeSH Terms
Descriptor/Qualifier:
Acetanilides / analysis
Agriculture / methods
Calibration
Models, Theoretical*
Reproducibility of Results
Sulfonylurea Compounds / analysis
Water / analysis*
Water Pollutants, Chemical / analysis*
Chemical
Reg. No./Substance:
0/Acetanilides; 0/Sulfonylurea Compounds; 0/Water Pollutants, Chemical; 51218-49-6/pretilachlor; 7732-18-5/Water; 94593-91-6/cinosulfuron

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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