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Landscape response to tectonic forcing: Digital elevation model analysis of stream profiles in the Mendocino triple junction region, northern California
被引:0
|作者:
Snyder, NP
[1
]
Whipple, KX
Tucker, GE
Merritts, DJ
机构:
[1] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA
[2] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
[3] Franklin & Marshall Coll, Dept Geosci, Lancaster, PA 17604 USA
关键词:
channel geometry;
digital elevation models;
erosion rates;
fluvial erosion;
geomorphology;
landscape evolution;
D O I:
10.1130/0016-7606(2000)112<1250:LRTTFD>2.3.CO;2
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
The topographic evolution of orogens is fundamentally dictated by rates and patterns of bedrock-channel incision. Quantitative held assessments of process-based laws are needed to accurately describe landscape uplift and denudation in response to tectonics and climate. We evaluate and calibrate the shear stress (or similar unit stream-power) bedrock-incision model by studying stream profiles in a tectonically active mountain range. Previous work on emergent marine terraces in the Mendocino triple junction region of northern California provides spatial and temporal control on rock-uplift rates. Digital elevation models and field data are used to quantify differences in landscape morphology associated with along-strike northwest to southeast changes in tectonic and climatic conditions. Analysis of longitudinal profiles supports the hypothesis that the study-area channels are in equilibrium with current uplift and climatic conditions, consistent with theoretical calculations of system response time based on the sheer-stress model. Within uncertainty, the profile concavity (theta) of the trunk streams is constant throughout the study area (theta approximate to 0.43), as predicted by the model. Channel steepness correlates with uplift rate. These data help constrain the two key unknown model parameters, the coefficient of erosion (K) and the exponent associated with channel gradient (n). This analysis shows that K cannot be treated as a constant throughout the study area, despite generally homogeneous substrate properties. For a reasonable range of slope-exponent values (n), best-fit values of K are positively correlated with uplift rate. This correlation has important implications for landscape-evolution models and likely reflects dynamic adjustment of K to tectonic changes, due to variations in orographic precipitation, and perhaps channel width, sediment load, and frequency of debris flows. The apparent variation in K makes a unique value of n impossible to constrain with present data.
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页码:1250 / 1263
页数:14
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