Document Detail


Predicting pesticide concentrations in river water with a hydrologically calibrated basin-scale runoff model.
MedLine Citation:
PMID:  12079096     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Hydrological diffuse pollution models require calibration before they can be used to make accurate long-term predictions for a range of hydrological and meteorological conditions. As such, the applicability of the models to the dispersion of new pesticides is limited due to the lack of calibration data. In this study, the performance of a GIS-based basin-scale runoff model for predicting the concentrations of paddy-farming pesticides in river water was examined when calibrated using hydrological data alone, without optimization based on empirical pesticide concentration data. The prediction accuracy on a daily or hourly scale was somewhat unsatisfactory due to inevitable compromises concerning rice farming schedules. However, the month-averaged pesticide concentrations were satisfactorily accurate; more than 50% of predicted values were between half and twice the observed values, considering the deficiencies of the input data, particularly for pesticide usage, which may include up to 50% error.
Authors:
Y Matsui; S Itoshiro; M Buma; T Matsushita; K Hosogoe; A Yuasa; S Shinoda; T Inoue
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Water science and technology : a journal of the International Association on Water Pollution Research     Volume:  45     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2002  
Date Detail:
Created Date:  2002-06-24     Completed Date:  2002-12-10     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  141-8     Citation Subset:  IM    
Affiliation:
Department of Civil Engineering, Gifu University, Japan.
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MeSH Terms
Descriptor/Qualifier:
Calibration
Forecasting
Geographic Information Systems*
Models, Theoretical*
Pesticides / analysis*
Rain
Sensitivity and Specificity
Water Movements*
Water Pollutants / analysis*
Chemical
Reg. No./Substance:
0/Pesticides; 0/Water Pollutants

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


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