Runoff and sediment loss from three tillage systems under simulated rainfall

1996 ◽  
Vol 39 (1-2) ◽  
pp. 115-129 ◽  
Author(s):  
J Myers
Soil Research ◽  
1995 ◽  
Vol 33 (5) ◽  
pp. 805 ◽  
Author(s):  
SM Bernas ◽  
JM Oades ◽  
GJ Churchman

Latex (natural polymer) and poly-DADMAC (synthetic polymer) were applied to a red brown earth (Alfisol) and a Wiesenboden (Mollisol). Run-off, infiltration, sediment loss and water stable aggregates were measured after subjecting the soils to simulated rainfall. Water retention of latex and poly-DADMAC amended soils was determined. The MED test for hydrophobicity was also carried out for the latex-treated soil. Latex decreased run-off and erosion, and increased infiltration on both soils. Poly-DADMAC minimized run-off and erosion, and increased infiltration on the Wiesenboden. It increased run-off and decreased infiltration on the red-brown earth; however, it still decreased erosion. Latex increased the percentage of water-stable aggregates > 2 mm on the red-brown earth, but it had less effect on the Wiesenboden. Poly-DADMAC decreased the percentage of water-stable aggregates < 0.125 mm on both soils after simulated rainfall. Both latex and poly-DADMAC had little effect on water retention of the red-brown earth and the Wiesenboden. Application of 1.5 g kg-1 of latex increased MED values of both soils, to give values that indicate moderate water-repellence but should not affect plant growth. Generally, latex was more effective on the red-brown earth and poly-DADMAC was more effective on the Wiesenboden. It seems that latex can be effective on all soil types, but poly-DADMAC will have more effect on clay soils.


Hydrology ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 3 ◽  
Author(s):  
Jaqueline Dalla Rosa ◽  
Miguel Cooper ◽  
Frédéric Darboux ◽  
João Medeiros ◽  
Carla Campanaro ◽  
...  

1993 ◽  
Vol 28 (3-5) ◽  
pp. 583-588 ◽  
Author(s):  
J. D. Schreiber ◽  
S. Smith ◽  
R. F. Cullum

Nutrient and pesticide concentrations in shallow groundwater (3m) and surface runoff were determined for conventional-till (CT) and no-till (NT) soybean watersheds. Groundwater NO3N concentrations were similar for both tillage systems, averaging about 7-8 ppm, but exceeded 10 ppm for some storms. Annual mean groundwater NO3N concentrations were only 0.34 ppm in a riparian zone downslope from the CT watershed. Higher nutrient concentrations in NT surface runoff reflected surface residue leaching. Runoff from both watersheds, 2 days after a broadcast application of 0-20-20, had high nutrient concentrations that decreased during subsequent storms. Pesticide concentrations in groundwater of the NT watershed were as high as 250 ppb at a depth of 1.5 m within 1 week after application (1st rainfall). Concentrations beneath the CT watershed were &lt; 10 ppb maximum. One month after application, pesticide concentrations in groundwater beneath both watersheds had decreased to about 10% of their respective 1-week values. Similar total pesticide losses in runoff occurred for both tillage systems. NT reduced sediment loss but increased pesticide movement into the soil profile. Results of companion studies with corn at another site indicated similar trends for nutrients and pesticides in shallow groundwater. Within 11 months after application, herbicides were still detectable at very low concentrations (&lt;1 ppb). Soil insecticides, applied at planting, were not found in groundwater. Herbicides and insecticides were detectable in both the water and sediment phases of runoff for 5 months after application. At the 1.5-m depth, the mean NO3N concentration in groundwater for conventional-, reduced-and no-till corn was 4.78 ppm compared with 6.96 ppm at the 3-m depth.


2021 ◽  
Vol 7 (1) ◽  
pp. 2342-2356
Author(s):  
João Lucas da Silva Pereira ◽  
Jaqueline Dalla Rosa ◽  
João Carlos Medeiros ◽  
Julian Junio de Jesus Lacerda ◽  
Maria de Nazaré Gomes de Sousa ◽  
...  

1985 ◽  
Vol 28 (4) ◽  
pp. 1219-1225 ◽  
Author(s):  
B. J. Andraski ◽  
T. C. Daniel ◽  
B. Lowery ◽  
D. H. Mueller

2012 ◽  
Vol 124 ◽  
pp. 226-232 ◽  
Author(s):  
Jaqueline Dalla Rosa ◽  
Miguel Cooper ◽  
Frédéric Darboux ◽  
João Carlos Medeiros

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