Document Detail


Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides.
MedLine Citation:
PMID:  15850206     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In the prediction of time-series concentrations of herbicides in river water with diffuse-pollution hydrological models, farming schedules (the dates of herbicide application and drainage of irrigation water from rice paddies) greatly affect the runoff behavior of the herbicides. For large catchments, obtaining precise data on farming schedules is impractical, and so the model input inevitably includes substantial uncertainty. This paper evaluates the effectiveness of using the Monte-Carlo method to generate sets of estimated farming schedules to use as input to a GIS-based basin-scale runoff model to predict the concentrations of paddy-farming herbicides in river water. The effects of using the Monte-Carlo method to compensate for uncertainty in the evaluated parameters for herbicide decomposition and sorption were also evaluated.
Authors:
Y Matsui; T Inoue; T Matsushita; T Yamada; M Yamamoto; Y Sumigama
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Publication Detail:
Type:  Comparative Study; 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:  51     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2005  
Date Detail:
Created Date:  2005-04-26     Completed Date:  2005-08-16     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  329-37     Citation Subset:  IM    
Affiliation:
Department of Civil Engineering, Gifu University, 501-1193, Japan. y-matsui@cc.gifu-u.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Acetanilides / analysis
Adsorption
Agriculture*
Geographic Information Systems
Herbicides / analysis*
Japan
Models, Theoretical*
Monte Carlo Method*
Oryza sativa
Reproducibility of Results
Rivers / chemistry
Time Factors
Triazines / analysis
Uncertainty*
Water Movements
Water Pollutants / analysis*
Water Supply
Chemical
Reg. No./Substance:
0/Acetanilides; 0/Herbicides; 0/Triazines; 0/Water Pollutants; 22936-75-0/dimethametryn; 51218-49-6/pretilachlor

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


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