Modelling the fate of pesticides in paddy rice-fish pond farming systems in northern Vietnam

La, Nguyen; Lamers, Marc; Nguyen, Vien Van; Streck, Thilo

doi:10.1002/ps.3527

Cited by 17 publications

(9 citation statements)

References 48 publications

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“…Recently, universal inverse modeling packages such as PEST have been made available and the user can easily implement an inverse analysis based on the local optimization algorithm without a coding algorithm. Indeed, there has been worldwide interest in the application of inverse modeling to various mathematical models for pesticides . However, the potential problem of the local optimization algorithm is that the minimized objective function may not be the global minimum but the local minimum, which is significantly affected by the starting value …”

Section: Introductionmentioning

confidence: 99%

“…Indeed, there has been worldwide interest in the application of inverse modeling to various mathematical models for pesticides. 13,[16][17][18][19][20] However, the potential problem of the local optimization algorithm is that the minimized objective function may not be the global minimum but the local minimum, which is significantly affected by the starting value. 16 In recent years, the application of a global optimization algorithm incorporating the Markov chain Monte Carlo (MCMC) technique has been focused on avoiding this problem.…”

Section: Introductionmentioning

confidence: 99%

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Inverse analysis to estimate site‐specific parameters of a mathematical model for simulating pesticide dissipations in paddy test systems

Kondo¹,

Wakasone²,

Iijima³

et al. 2019

Pest Management Science

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BACKGROUND In Japan, while experimental data for the dissipation behavior of paddy pesticides under a standardized test system are available, the application of a mathematical model is limited. This paper proposes a new model calibration procedure for inversely deriving the model parameters from the experimental data. This procedure is tested in the open software R by running an improved Pesticide Concentration in Paddy Field‐1 (PCPF‐1) model with R packages to analyze the dissipation of simetryn and molinate in flooded lysimeters and paddy fields. RESULTS The model fitting was performed by a random minimization routine. Furthermore, the uncertainties of the model parameters envisioned by the global sensitivity analysis were successfully reduced using the Markov chain Monte Carlo technique. The calibrated simulation was validated at each test plot by confirming multiple statistical indices (i.e. Nash–Sutcliffe efficiency 0.88–1.00, percent bias <±5%). The dissipation pathways of two herbicides were quantitatively clarified by the mass balance of calibrated simulations and the effect of the unexpected herbicide runoff was quantified. The case study showed that the adjustment of daily percolation rate in the lysimeter experiment is the key to simulate the actual paddy field condition more accurately, especially in a case where pesticides show higher water solubility and soil mobility. CONCLUSION The developed procedure can analyze the experimental data with acceptable accuracy and extract the unobservable information quantitatively. Our approach is applicable to the optimization of not only the model but also future experimental design. © 2018 Society of Chemical Industry

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inverse analysis to estimate site‐specific parameters of a mathematical model for simulating pesticide dissipations in paddy test systems

Kondo¹,

Wakasone²,

Iijima³

et al. 2019

Pest Management Science

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“…Traditionally, rice ( Oryza sativa L.) is cultivated under agricultural practices that are intensive and costly, including tillage, flood irrigation and high‐intensity pesticide application. These practices negatively affect soil properties, consume large quantities of water and can enhance the risk of surface and groundwater contamination, given that the fields are usually close to surface water bodies . Rice is widely cultivated in some areas in the south of Europe, especially in Mediterranean countries .…”

Section: Introductionmentioning

confidence: 99%

Behaviour of bentazon as influenced by water and tillage management in rice‐growing conditions

López‐Piñeiro

Peña

Albarrán

et al. 2017

Pest Management Science

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Bentazon is a widely used herbicide in rice agroecosystems that has commonly been found in water resources. To assess how tillage and water regimes affect sorption/desorption, dissipation and leaching of bentazon in Mediterranean rice-growing conditions, field experiments were carried out using tillage and flooding (TF), tillage and sprinkler irrigation (TS), no-tillage and sprinkler irrigation (NTS) and long-term no-tillage and sprinkler irrigation (NTS7). After 3 years, the K values in TS were 2.3, 1.6 and 1.7 times lower than the values in NTS7, NTS and TF respectively. Greater sorption of bentazon was related to higher contents in total organic carbon and, although to a lesser extent, in humic acids and dissolved organic carbon. The persistence of bentazon was significantly greater under anaerobic (half-life DT = 94.1-135 days) than under aerobic (DT = 42.4-91.3 days) incubation conditions for all management regimes. Leaching losses of bentazon were reduced from 78 and 74% in TS and TF to 61 and 62% in NTS7 and NTS respectively. The mid- and long-term implementation of sprinkler irrigation in combination with no-tillage could be considered a management system that is effective at reducing water contamination by bentazon in Mediterranean rice-growing agroecosystems. © 2017 Society of Chemical Industry.

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“…37) Several modeling approaches have been proposed to simulate the fate and transport of pesticides under nursery-box application and foliar application in paddy fields. [38][39][40] However, these models require various parameters, including site-specific information such as drift ratio at application, which were previously determined based on expert judgment. In order to overcome the over-parameterization of the mathematical model, an efficient calibration routine of the mathematical model to derive the parameters from our experimental data set needs to be developed.…”

Section: Dissipation Characteristics Of Foliar-applied Pesticidesmentioning

confidence: 99%

Performance evaluation of lysimeter experiments for simulating pesticide dissipation in paddy fields. Part 2: Nursery-box application and foliar application

et al. 2019

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Comparative experiments investigating the dissipation of four nursery-box-applied pesticides and three foliar-applied pesticides were conducted using lysimeters and in actual paddy fields. In the lysimeter experiments, there were test plots for submerged application for both application types. Analytical concentrations of the pesticides in paddy water were evaluated using appropriate kinetic models. The detection levels of pesticides in the paddy water for the nursery-box and foliar applications were 10-77% and 42-79% of the submerged application, respectively. The times required for 50% dissipation (DT 50 s) in case of the nursery-box and foliar applications were 0.8-10.4 days and 0.5-2.7 days, respectively. Although overall dissipations were affected by the physicochemical properties of the pesticide and the experimental design in the test plots, the initial detection levels in the lysimeters, governed by the runoff at transplanting and the deposition at spraying, were comparable with those in the actual paddy fields.

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Modelling the fate of pesticides in paddy rice-fish pond farming systems in northern Vietnam

Abstract: These results indicate that the proposed model is an effective tool to assess and evaluate management strategies, such as extended field closure periods, aiming to reduce the loss of pesticides from paddy fields.

Cited by 17 publications

References 48 publications

Inverse analysis to estimate site‐specific parameters of a mathematical model for simulating pesticide dissipations in paddy test systems

Inverse analysis to estimate site‐specific parameters of a mathematical model for simulating pesticide dissipations in paddy test systems

Behaviour of bentazon as influenced by water and tillage management in rice‐growing conditions

Performance evaluation of lysimeter experiments for simulating pesticide dissipation in paddy fields. Part 2: Nursery-box application and foliar application

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