Adsorption and desorption characteristics of several herbicides on sediment

Kawakami, Tsuyoshi; Eun, Heesoo; Ishizaka, Masumi; Endo, Shozo; Tamura, Kenji; Higashi, Teruo

doi:10.1080/03601230601017551

Cited by 18 publications

(11 citation statements)

References 23 publications

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“…The former was due to the setting of a faster percolation rate, while the latter was affected by the slow sorption process. Although adsorption/desorption hysteresis of simetryn has been reported as relatively stronger, the effect of desorption from PSL apparently decelerates the rate of dissipation in the FA plot obtained from the highest k SORP value, and thus leads to a higher amount of runoff due to drainage events. From the aforementioned discussion, the main factors affecting simetryn dissipation in PW were daily percolation and the adsorption/desorption process.…”

Section: Discussionmentioning

confidence: 96%

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: Discussionmentioning

confidence: 96%

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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“…Pollutants can accumulate to a rather high level in the sediment (Kueh and Lam, 2008;Lai et al, 2000). With the rapid and extensive binding of hydrophobic contaminants onto the sediment matter, marine sediment has been considered as an important sink of EDCs and other emerging contaminants (Kawakami et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Adsorption and desorption behaviors of selected endocrine disrupting chemicals in simulated gastrointestinal fluids

Fei

Leung

2014

Marine Pollution Bulletin

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An in vitro technique using simulated gastrointestinal (GI) fluids was applied to investigate the desorption of selected endocrine disrupting chemicals (EDCs), i.e. bisphenol A (BPA) and 17 α-ethinylestradiol (EE2), from the marine sediment in the digestive environment. The results show that the GI fluids suppressed chemical adsorption and greatly increased the desorption of BPA and EE2 from the sediment. Pepsin in the gastric fluid would compete for the adsorption sites with the adsorbates, and bile salts in the intestinal fluid had a solubilization effect on the chemicals. The amount of chemical release from the sediment in different fluids followed intestinal (fed)>intestinal (fasted)>gastric>saline water. During the dynamic desorption tests, 62% and 21% of sediment-bound BPA and EE2, respectively, could be released into the simulated GI fluids. The enhanced desorption of EDCs from sediment in the digestive system would make the pollutants more bioavailable in the ecosystem.

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“…The ignition loss correlated well with the pesticide concentration ratio for pyrokiron, simetryn and isoprothiolane (p \ 0.01 to p \ 0.001) but did not for molinate, bromobutide and pretilachlor, suggesting the possibility that the adsorption of pesticide on organic matter in the sediment was strong for pyrokiron, simetryn and isoprothiolane but weak for molinate, bromobutide and pretilachlor. Kawakami et al (2007) reported that the adsorption ratio of five herbicides on the sediment increased in the following order: pretilachlor \ dimethametryn \ simetryn \ thiobencarb \ esprocarb. The order of simetryn [ pretilachlor was consistent with our experiment results.…”

Section: Resultsmentioning

confidence: 99%

Pesticides in Water and Sediment from Littoral Area of Lake Biwa

Tsuda

Nakamura

Inoue

et al. 2009

Bull Environ Contam Toxicol

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A survey of 29 pesticides was performed for water and sediment from two littoral areas of Lake Biwa in 2007. Two insecticides, 5 fungicides and 13 herbicides in the water and an insecticide, 4 fungicides and 7 herbicides in the sediment were detected from the present survey. Pesticide accumulation potential in the sediment was calculated as "Pesticide concentration ratio" from the results of the survey on water and sediment in Lake Biwa. Correlation was investigated for each of the detected pesticides between sediment ignition loss and pesticide concentration ratio or between sediment particle size and pesticide concentration ratio. The ignition loss correlated well with the pesticide concentration ratio for pyrokiron, simetryn, and isoprothiolane (p < 0.01 to p < 0.001) but did not for molinate, bromobutide and pretilachlor. Further, the <0.025 mm particle size ratio correlated well with the pesticide concentration ratio for pyrokiron, simetryn, flutolanil, isoprothiolane and mefenacet (p < 0.01 to p < 0.001) but did not for bromobutide and pretilachlor. The correlation between <0.025 mm particle size ratio and pesticide concentration ratio had almost the same tendency as that between ignition loss and pesticide concentration ratio, suggesting sediment with higher <0.025 mm particle size ratio had higher weight (%) of ignition loss.

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Adsorption and desorption characteristics of several herbicides on sediment

Cited by 18 publications

References 23 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

Adsorption and desorption behaviors of selected endocrine disrupting chemicals in simulated gastrointestinal fluids

Pesticides in Water and Sediment from Littoral Area of Lake Biwa

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