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Spatial variation and temporal stability of soil water in a snow‐dominated, mountain catchment
Author(s) -
Grant Laura,
Seyfried Mark,
McNamara Jim
Publication year - 2004
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.5798
Subject(s) - spatial variability , soil water , environmental science , hydrology (agriculture) , drainage basin , precipitation , snowmelt , streamflow , soil texture , snow , spatial heterogeneity , catchment hydrology , surface runoff , soil science , geology , ecology , geomorphology , geography , statistics , mathematics , geotechnical engineering , cartography , biology , meteorology
Soil is a critical intermediary of water flux between precipitation and stream flow. Characterization of soil water content (θ, m 3 m −3 ) may be especially difficult in mountainous, snow‐dominated catchments due to highly variable water inputs, topography, soils and vegetation. However, individual sites exhibit similar seasonal dynamics, suggesting that it may be possible to describe spatial variability in terms of temporally stable relationships. Working in a 0·36 km 2 headwater catchment, we: (i) described and the spatial variability of θ over a 2 year period, (ii) characterized that variability in terms of temporal stability analysis, and (iii) related changes in temporally stable soil water patterns to stream flow generation. Soil water data were collected for 2 years at representative sites and quantified in terms of θ and water storage to a depth of 75 cm ( S 75 , cm). Both S 75 and θ were normally distributed in space on all measurement dates. Spatial variability was high relative to other studies, reflecting catchment heterogeneity. However, the ranking of S 75 values displayed temporal stability for all site locations, seasonally and annually. This stability was attributed to soil texture. Further temporal analysis indicated that estimates of catchment mean and standard deviation of S 75 may be characterized with relatively few measurements. Finally, we used temporal linear regression to define catchment soil water conditions related to stream‐flow generation. Static, high S 75 conditions in late winter and early spring indicate that stream‐flow response is highly sensitive to inputs, whereas static, low S 75 conditions in late summer and early fall indicate minimum stream‐flow sensitivity to water inputs. The fall transition was marked by uniform S d across the catchment. The late spring transition was marked by nonuniform S 75 decreases, with the highest S 75 sites decreasing most. Threshold S 75 values identifying catchment sensitivity to water input were identified. Copyright © 2004 John Wiley & Sons, Ltd.