Prediction of phosphorus concentration in tile-drainage water from the Montreal Lowlands soils

被引:30
作者
Beauchemin, S
Simard, RR
Bolinder, MA
Nolin, MC
Cluis, D
机构
[1] Canada Ctr Mineral & Energy Technol, Nat Resources Canada, Ottawa, ON K1A 0G1, Canada
[2] INRA Eau, St Foy, PQ G1V 4C7, Canada
[3] Agr Canada, Soils & Crops Res & Dev Ctr, St Foy, PQ G1V 2J3, Canada
[4] Univ Laval, Dept Soil Sci, Quebec City, PQ G1K 7P4, Canada
[5] Univ Manitoba, Dept Soil Sci, Winnipeg, MB R3T 2N2, Canada
关键词
tile-drainage water; phosphorus; P transfer; P loss; degree of soil P saturation; phosphorus index;
D O I
10.4141/S02-029
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Subsurface drainage systems can be a significant pathway for P transfer from some soils to surface waters. The objective of the study was to determine P concentration in tile-drainage water and its relationship to P status in surface soils (A horizons) from an intensively cultivated area in the Montreal Lowlands. The profiles of 43 soil units were characterized for their P contents and pedogenic properties. Tile-drainage water P concentrations were monitored over a 3-yr period on a weekly basis on 10 soil units, and four times during each growing season for the other 33 units. The soil units were grouped into lower and higher P sorbing soils using multiple discriminant equations developed in an earlier related study. The A horizons of the lower P sorbing soils had an elevated P saturation degree [mean Mehlich(III) P/Al = 17%] associated with total P concentrations in tile-drainage water consistently greater than the surface water quality standard of 0.03 mg total P L-1. Conversely, low P concentrations in tile-drainage waters (<0.03 mg L-1) and a moderate mean Mehlich(HI) P/Al ratio of 8% were observed in the higher P sorbing soil group. Total P concentrations in drainage systems were significantly related to soil P status in surface soils. Grouping soils according to their P sorption capacities increased the power of prediction based on only one soil variable. However, accurate predictions in terms of drain P concentration can hardly be obtained unless large dataset and other factors related to field management practices and hydrology of the sites are also considered. Therefore, a better alternative to predict the risk of P leaching is to work in terms of risk classes and rely on a multiple factor index.
引用
收藏
页码:73 / 87
页数:15
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