Pesticide Leaching Modelling Validation

2001 ◽  
pp. 47-59
Author(s):  
Marnik Vanclooster
Keyword(s):  
Pesticide Leaching

Parameterisation, evaluation and comparison of pesticide leaching models to data from a Bologna field site, Italy

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

scholarly journals Modelling pesticide leaching under climate change: parameter vs. climate input uncertainty

2013 ◽  
Vol 10 (8) ◽  
pp. 10461-10494 ◽  
Author(s):  
K. Steffens ◽  
M. Larsbo ◽  
J. Moeys ◽  
E. Kjellström ◽  
N. Jarvis ◽  
...  
Keyword(s):  
Climate Change ◽  
Parameter Uncertainty ◽  
Climate Model ◽  
Climate Scenario ◽  
Climate Scenarios ◽  
Data Set ◽  
South West ◽  
Climate Uncertainty ◽  
Pesticide Losses ◽  
Pesticide Leaching

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.

The Pesticide Root Zone Model (PRZM): A procedure for evaluating pesticide leaching threats to groundwater

1985 ◽  
Vol 30 (1-2) ◽  
pp. 49-69 ◽  
Author(s):  
Robert F. Carsel ◽  
Lee A. Mulkey ◽  
Matthew N. Lorber ◽  
Leland B. Baskin
Keyword(s):  
Root Zone ◽  
Zone Model ◽  
Pesticide Leaching

A Tractor Mounted Sampler for Obtaining Large Soil Columns

1990 ◽  
Vol 4 (4) ◽  
pp. 913-917 ◽  
Author(s):  
David S. Walker ◽  
J. David O'Dell ◽  
Jeff D. Wolt ◽  
G. Neil Rhodes ◽  
John G. Graveel
Keyword(s):  
Rapid Method ◽  
Polyvinyl Chloride ◽  
Hydraulic System ◽  
Hydraulic Cylinder ◽  
Cylinder Pressure ◽  
Soil Columns ◽  
Physical Effort ◽  
Pvc Pipe ◽  
Large Soil ◽  
Pesticide Leaching

A tractor mounted sampler was constructed which allows large soil columns to be obtained rapidly and with minimal physical effort. The machine utilizes the hydraulic system of a tractor to push a steel sampling cylinder containing 30.5-cm id. polyvinyl chloride (PVC) pipe into the soil, after which the hydraulic cylinder is retracted to pull the pipe and enclosed soil from the ground. Columns 68 cm in length were taken with a hydraulic cylinder pressure of approximately 10 MPa. Soil separated evenly at the bottom of the columns, and compaction was measured to be approximately 5%. This is a relatively simple and rapid method for obtaining large soil columns for use in pesticide leaching studies.

Pesticide Leaching Models in a Brazilian Agricultural Field Scenario

2011 ◽  
pp. 266-295
Author(s):  
Rômulo Júnior ◽  
Renê Rigitano ◽  
Jos Boesten
Keyword(s):  
Risk Assessment ◽  
European Union ◽  
Theoretical Description ◽  
Soil Types ◽  
The European Union ◽  
Agricultural Field ◽  
The Usa ◽  
Moisture Profiles ◽  
Leaching Models ◽  
Pesticide Leaching

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.

Limitations on the role of incorporated organic matter in reducing pesticide leaching

2001 ◽  
Vol 49 (3-4) ◽  
pp. 241-262 ◽  
Author(s):  
F Worrall ◽  
M Fernandez-Perez ◽  
A.C Johnson ◽  
F Flores-Cesperedes ◽  
E Gonzalez-Pradas
Keyword(s):  
Organic Matter ◽  
Pesticide Leaching
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