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Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides.
Water Sci Technol. 2005; 51(3-4):329-37.WS

Abstract

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+Show Affiliations

Matsui Y
Department of Civil Engineering, Gifu University, 501-1193, Japan. y-matsui@cc.gifu-u.ac.jp
Inoue T
No affiliation info available
Matsushita T
No affiliation info available
Yamada T
No affiliation info available
Yamamoto M
No affiliation info available
Sumigama Y
No affiliation info available

MeSH

AcetanilidesAdsorptionAgricultureGeographic Information SystemsHerbicidesJapanModels, TheoreticalMonte Carlo MethodOryzaReproducibility of ResultsRiversTime FactorsTriazinesUncertaintyWater MovementsWater PollutantsWater Supply

Pub Type(s)

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

Language

eng

PubMed ID

15850206

Citation

Matsui, Y, et al. "Effect of Uncertainties in Agricultural Working Schedules and Monte-Carlo Evaluation of the Model Input in Basin-scale Runoff Model Analysis of Herbicides." Water Science and Technology : a Journal of the International Association On Water Pollution Research, vol. 51, no. 3-4, 2005, pp. 329-37.
Matsui Y, Inoue T, Matsushita T, et al. Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides. Water Sci Technol. 2005;51(3-4):329-37.
Matsui, Y., Inoue, T., Matsushita, T., Yamada, T., Yamamoto, M., & Sumigama, Y. (2005). Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides. Water Science and Technology : a Journal of the International Association On Water Pollution Research, 51(3-4), 329-37.
Matsui Y, et al. Effect of Uncertainties in Agricultural Working Schedules and Monte-Carlo Evaluation of the Model Input in Basin-scale Runoff Model Analysis of Herbicides. Water Sci Technol. 2005;51(3-4):329-37. PubMed PMID: 15850206.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides. AU - Matsui,Y, AU - Inoue,T, AU - Matsushita,T, AU - Yamada,T, AU - Yamamoto,M, AU - Sumigama,Y, PY - 2005/4/27/pubmed PY - 2005/8/17/medline PY - 2005/4/27/entrez SP - 329 EP - 37 JF - Water science and technology : a journal of the International Association on Water Pollution Research JO - Water Sci Technol VL - 51 IS - 3-4 N2 - 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. SN - 0273-1223 UR - https://www.unboundmedicine.com/medline/citation/15850206/Effect_of_uncertainties_in_agricultural_working_schedules_and_Monte_Carlo_evaluation_of_the_model_input_in_basin_scale_runoff_model_analysis_of_herbicides_ DB - PRIME DP - Unbound Medicine ER -