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Calibration and validation of a dynamic water model in agricultural scenarios.
Chemosphere. 2008 Jan; 70(7):1298-308.C

Abstract

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.

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Authors+Show Affiliations

Infantino A
Department of Chemical and Environmental Sciences, University of Insubria, Via Valleggio, 11, 22100 Como CO, Italy.
Pereira T
No affiliation info available
Ferrari C
No affiliation info available
Cerejeira MJ
No affiliation info available
Di Guardo A
No affiliation info available

MeSH

AcetanilidesAgricultureCalibrationModels, TheoreticalReproducibility of ResultsSulfonylurea CompoundsWaterWater Pollutants, Chemical

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17765289

Citation

Infantino, Alfonso, et al. "Calibration and Validation of a Dynamic Water Model in Agricultural Scenarios." Chemosphere, vol. 70, no. 7, 2008, pp. 1298-308.
Infantino A, Pereira T, Ferrari C, et al. Calibration and validation of a dynamic water model in agricultural scenarios. Chemosphere. 2008;70(7):1298-308.
Infantino, A., Pereira, T., Ferrari, C., Cerejeira, M. J., & Di Guardo, A. (2008). Calibration and validation of a dynamic water model in agricultural scenarios. Chemosphere, 70(7), 1298-308.
Infantino A, et al. Calibration and Validation of a Dynamic Water Model in Agricultural Scenarios. Chemosphere. 2008;70(7):1298-308. PubMed PMID: 17765289.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Calibration and validation of a dynamic water model in agricultural scenarios. AU - Infantino,Alfonso, AU - Pereira,Teresa, AU - Ferrari,Claudia, AU - Cerejeira,Maria José, AU - Di Guardo,Antonio, Y1 - 2007/08/31/ PY - 2007/04/15/received PY - 2007/07/16/revised PY - 2007/07/20/accepted PY - 2007/9/4/pubmed PY - 2008/4/15/medline PY - 2007/9/4/entrez SP - 1298 EP - 308 JF - Chemosphere JO - Chemosphere VL - 70 IS - 7 N2 - 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. SN - 0045-6535 UR - https://www.unboundmedicine.com/medline/citation/17765289/Calibration_and_validation_of_a_dynamic_water_model_in_agricultural_scenarios_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0045-6535(07)00940-X DB - PRIME DP - Unbound Medicine ER -