Impact of Variable Rate Fertilization on Subsurface Water Contamination in Wild Blueberry Cropping System

2013 ◽  
Vol 29 (2) ◽  
pp. 225-232 ◽  
Author(s):  
Shoaib Rashid Saleem ◽  
Qamar Uz Zaman ◽  
Arnold Walter Schumann ◽  
Ali Madani ◽  
Aitazaz Ahsan Farooque ◽  
...  
2011 ◽  
Author(s):  
Shoaib Rashid Saleem ◽  
Qamar Uz Zaman ◽  
Arnold W Schumann ◽  
Ali Madani ◽  
David C Percival ◽  
...  

2013 ◽  
Vol 15 (2) ◽  
pp. 147-161 ◽  
Author(s):  
Travis J. Esau ◽  
Qamar U. Zaman ◽  
Young K. Chang ◽  
Arnold W. Schumann ◽  
David C. Percival ◽  
...  
Keyword(s):  

2011 ◽  
Author(s):  
Travis J Esau ◽  
Qamar Uz Zaman ◽  
Young K Chang ◽  
Arnold W Schumann ◽  
David C Percival ◽  
...  

2014 ◽  
Vol 100 ◽  
pp. 70-78 ◽  
Author(s):  
Hassan S. Chattha ◽  
Qamar U. Zaman ◽  
Young K. Chang ◽  
Scott Read ◽  
Arnold W. Schumann ◽  
...  

2010 ◽  
Vol 90 (1) ◽  
pp. 129-149 ◽  
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H. Dadfar ◽  
S E Allaire ◽  
R. De Jong ◽  
E. van Bochove ◽  
J -T Denault ◽  
...  

Indicators of risk of water contamination by agricultural pollutants are developed in Canada to assess sustainability of agriculture. Crack flow (CF), a key pathway for sub-surface contaminant transport, is part of the transport-hydrology algorithm used in two of these risk indicators. The objective was to develop a methodology for predicting the likelihood of CF in Canadian agricultural soils at the landscape scale. The algorithm considers soil clay content, crack development followed by a runoff event based on water budget, tile drainage, and crops. More than 40% of Canadian farmlands had moderate to very high likelihood of CF, mainly in Manitoba, Ontario and Quebec, due to frequent runoffs on cracked clay soils potentially contributing to groundwater contamination. In Ontario and Quebec, farmlands with high CF likelihood correspond to regions under intensive tile drainage, which increases the risk of lateral translocation of contaminants to surface water bodies. Besides being a component of risk indicators of water contamination by phosphorus and coliforms, the CF algorithm and maps can be used to identify areas at risk of subsurface water contamination. Best management practices, adapted to reduce CF can then be targeted to these areas.Key words: Agrichemicals, contaminant transport, macropore flow, preferential flow, risk assessment, risk indicators


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