scholarly journals Migration of cyantraniliprole in fractured soils: calibration of pesticide leaching model by using experimental data

2020 ◽  
Vol 169 ◽  
pp. 01008
Author(s):  
Aleksandra Belik ◽  
Anna Kokoreva ◽  
Victoria Kolupaeva

The phenomenon of preferential migration of substances can increase the risk of pesticides. In the first year of the experiment, in 7 days after application cyantraniliprole penetrated to a depth of 25 cm in agrosoddy-podzolic soil. In the next year on the 7th day after application the pesticide was detected at a depth of 15 cm. The pesticide migrated deeper than the unconfigured PERL model took into account. The calibration of the PERL model by using experimental data (soil experimental support) allowed to reduce the error of prediction. The obtained data can be used to create new standard soil and climate scenarios for pesticide leaching models.

Weed Research ◽  
1996 ◽  
Vol 36 (1) ◽  
pp. 37-47 ◽  
Author(s):  
A. WALKER ◽  
S. J. WELCH ◽  
A. MELACINI ◽  
Y.-H. MOON

2002 ◽  
Vol 59 (1) ◽  
pp. 3-20 ◽  
Author(s):  
James A Garratt ◽  
Ettore Capri ◽  
Marco Trevisan ◽  
Giuseppe Errera ◽  
Richard M Wilkins

2013 ◽  
Vol 10 (8) ◽  
pp. 10461-10494 ◽  
Author(s):  
K. Steffens ◽  
M. Larsbo ◽  
J. Moeys ◽  
E. Kjellström ◽  
N. Jarvis ◽  
...  

Abstract. The assessment of climate change impacts on the risk for pesticide leaching needs careful consideration of different sources of uncertainty. We investigated the uncertainty related to climate scenario input and its importance relative to parameter uncertainty of the pesticide leaching model. The pesticide fate model MACRO was calibrated against a comprehensive one-year field data set for a well-structured clay soil in south-west Sweden. We obtained an ensemble of 56 acceptable parameter sets that represented the parameter uncertainty. Nine different climate model projections of the regional climate model RCA3 were available as driven by different combinations of global climate models (GCM), greenhouse gas emission scenarios and initial states of the GCM. The future time series of weather data used to drive the MACRO-model were generated by scaling a reference climate data set (1970–1999) for an important agricultural production area in south-west Sweden based on monthly change factors for 2070–2099. 30 yr simulations were performed for different combinations of pesticide properties and application seasons. Our analysis showed that both the magnitude and the direction of predicted change in pesticide leaching from present to future depended strongly on the particular climate scenario. The effect of parameter uncertainty was of major importance for simulating absolute pesticide losses, whereas the climate uncertainty was relatively more important for predictions of changes of pesticide losses from present to future. The climate uncertainty should be accounted for by applying an ensemble of different climate scenarios. The aggregated ensemble prediction based on both acceptable parameterizations and different climate scenarios could provide robust probabilistic estimates of future pesticide losses and assessments of changes in pesticide leaching risks.


Author(s):  
Rômulo Júnior ◽  
Renê Rigitano ◽  
Jos Boesten

The use of Pesticide Leaching Models (PLM) for risk assessment may be an efficient and attractive way of assessing solutions to some agricultural and environmental problems. Many countries of the European Union and the USA have been using PLM for risk assessment already for a few decades. This chapter has the aim to present a successful application of two PLM (i.e. MACRO and PEARL) in a Brazilian very intensive agricultural area to simulate moisture profiles and the leaching of a water flow tracer (i.e. bromide) and the pesticides cyproconazole and thiamethoxam. Also attempts to summarize the available knowledge about the processes governing pesticide behavior in soil, types and classifications of PLM, the use of PLM for risk assessment at European Union, a theoretical description of PEARL and MACRO models and their testing in a Brazilian agricultural field scenario.


1998 ◽  
Vol 27 (5) ◽  
pp. 1183-1193 ◽  
Author(s):  
Mette Thorsen ◽  
Peter R. Jørgensen ◽  
Gitte Felding ◽  
Ole H. Jacobsen ◽  
Niels H. Spliid ◽  
...  

1996 ◽  
Vol 48 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Adrian C. Armstrong ◽  
Andrew M. Portwood ◽  
Peter B. Leeds-Harrison ◽  
Graham L. Harris ◽  
John A Catt

2005 ◽  
Vol 289 (1) ◽  
pp. R281-R282 ◽  
Author(s):  
Michal Caputa

The following is the abstract of the article discussed in the subsequent letter: Fever and anapyrexia are the most studied thermoregulatory responses. They are defined as a body temperature (Tb) increase and decrease, respectively, occurring because of a shift in the set point (SP) and characterized by active defense of the new Tb. Although models of Tb control with a single SP (whether obvious or hidden) have been criticized, the SP-based definitions have remained unchallenged. In this article, the SP-based definitions of fever and anapyrexia were subjected to two tests. In test 1, they were compared with experimental data on changes in thresholds for activation of different thermoeffectors. Changes in thresholds were found compatible with an SP increase in some (but not all) cases of fever. In all cases of what is called anapyrexia, its mechanism (dissociation of thresholds of different effectors) was found incompatible with a decrease in a single SP. In test 2, experimental data on the dependence of Tb on ambient temperature (Ta) were analyzed. It was found that the febrile level of Tb is defended in some (but not all) cases. However, strong dependence on Ta was found in all cases of anapyrexia, which agrees with threshold dissociation but not with a decrease of the SP. It is concluded that fever (as defined) has only limited experimental support, whereas anapyrexia (as defined) does not exist. Two solutions are offered. A palliative is to accept that SP-based terms (anapyrexia, cryexia, regulated hypothermia, and such) are inadequate and should be abandoned. A radical solution is to transform all definitions based on comparing Tb with the SP into definitions based on balancing active and passive processes of Tb control.


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