A preferential flow leaching index

被引:21
作者
McGrath, Gavan Sean [1 ]
Hinz, Christoph [1 ]
Sivapalan, Murugesu [2 ,3 ,4 ,5 ]
机构
[1] Univ Western Australia, Sch Earth & Environm, Crawley 6009, Australia
[2] Univ Illinois, Dept Geog, Urbana, IL 61801 USA
[3] Univ Western Australia, Ctr Water Res, Crawley 6009, Australia
[4] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[5] Delft Univ Technol, Dept Water Management, Fac Civil Engn & Geosci, Delft, Netherlands
基金
澳大利亚研究理事会;
关键词
GROUNDWATER VULNERABILITY ASSESSMENTS; MACROPORE FLOW; LYSIMETER EXPERIMENT; HERBICIDE TRANSPORT; UNSATURATED SOIL; SOLUTE MOVEMENT; SURFACE WATERS; TILE DRAINS; CLAY SOIL; PESTICIDES;
D O I
10.1029/2008WR007265
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The experimental evidence suggests that for many chemicals surface runoff and rapid preferential flow through the shallow unsaturated zone are significant pathways for transport to streams and groundwater. The signature of this is the episodic and pulsed leaching of these chemicals. The driver for this transport is the timing and magnitude of rainfall events which trigger rapid flow and the release of solute from a source zone, located near the soil surface. Based on these considerations we develop a conceptual model capable of reproducing many of the signatures of this rapid transport. This driver-source-trigger-signature framework forms the basis of the development of a new leaching index which describes the potential for rapid solute transport by preferential flow or surface runoff. This preferential flow (PF) index is based upon soil and chemical parameters as well as the timing and magnitude of rainfall and preferential flow events. The PF index suggests that a chemical's potential to experience rapid transport increases as sorption strength increases, however, when an approximation to account for sorption kinetics is considered the PF index peaks at moderate sorption values. The model is sensitive to the timing and magnitude of rapid flow events, which may require existing data or infiltration models for their estimation.
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页数:10
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