WILSIM > Introduction

Introduction to WILSIM-GC

Grand Canyon is one the most spectacular landforms on Earth. Using WILSIM-GC, you will be able to simulate the formation of Grand Canyon. You will be able to modify the resistance of the sedimentary rock strata into which Grand Canyon has formed in order to determine how different Grand Canyon might have looked had it developed through different types of bedrock. You can even see how the canyon will look in the future as tributaries continue to wear back into the surrounding plateau over the next few million years.

The development of Grand Canyon involves three main sets of processes. First, bedrock exposed on the steep hillslopes adjacent to the Colorado River and its tributaries are broken down by weathering processes operating near the surface (such as frost cracking and the expansion of plant roots into joints and other small cracks). Second, weathered rock is transported down hillslopes and into channels by the direct action of gravity (mass movements) and the influence of gravity on water (overland flow) and the shear stress and sediment transport that overland flow generates. Third, fluvial channels of the Colorado River and its tributaries transport the sediment delivered to them downstream and further erode into the bedrock below by the processes of plucking and abrasion.

First and foremost, however, the formation of a canyon requires that relief be created. Relief is simply a difference in elevation. Relief is necessary because sediment transport processes all require a slope, which is just relief divided by horizontal distance. Most scientists believe that a steep-walled and deeply incised canyon began to form in response to relief production along the Grand Wash-Wheeler Fault system that demarcates the downstream end of Grand Canyon starting approximately 16 million years ago (Ma). This was well before the arrival of the Colorado River into the Grand Wash trough, however. So, between about 16 and 6 Myr, a canyon was forming slowly, driven by a relatively small river draining just the local area. At that time, the Colorado River was flowing elsewhere (we still don't know where due to the lack of preserved Colorado River deposits older than 4.4 Ma). We do know that the Colorado River started flowing over the "step" created by offset along the Grand Wash/Wheeler fault systems between 5 and 6 Ma, and that's when the erosion that formed Grand Canyon really accelerated. Relief can be produced either by uplift of rocks on one side of a fault or fold relative to sea level, or the subsidence of rocks on the other side. We do not know for certain whether the relief produced along the Grand Wash Fault was created by uplift of the Colorado Plateau or the subsidence of the adjacent Grand Wash Trough.

You can set three parameters in the model. These are the rock erodibility factor, the hard/soft contrast factor, and the cliff retreat rate. Also, you can set how long the simulation runs for. The model begins at 6 Ma close to the time when the Colorado River began flowing along its present course.

The cliff retreat rate determines the rate at which cliffs wear back laterally. The cliffs adjacent to Grand Canyon wear back in a slope-retreat style. That is, they maintain a near-vertical form as the wear back. Slope retreat is a common style of hillslope evolution in weathering-limited environments (those in which weathering occurs more slowly than transport, so weathered rock is transported off of hillslope almost as fast as it is weathered into transportable material). Weathering-limited conditions tend to occur in relatively arid climates such as that of the southwestern U.S. Cole and Mayer (1982) used fossil packrat middens to measure the rate at which the most resistant rocks (those of the Redwall limestone) wear back by retreat. They obtained a value of approximately 0.5 m kyr-1, but you can increase or decrease this value to see how having rocks more or less resistant to weathering would affect the shape of the canyon.

The rock erodibility factor controls the rate of erosion into the weaker rocks by fluvial channels (the Colorado River and its tributaries). A rock erodibility factor of 0.1 kyr-1 generates erosion at a rate equal to 0.1 m kyr-1 for a fluvial channel of slope equal to 1 (45°) and drainage area equal to 1 km2. In WILSIM-GC, channels with larger contributing area and/or steeper channels have higher erosion rates, while those with smaller contributing area and/or lower slopes have lower erosion rates.

The hard/soft contrast is a dimensionless number that controls the relative erosion rate between strong and weak rocks for the same size channel. The rocks that are the most resistant to fluvial erosion in the Grand Canyon sequence are the limestones (Kaibab, Redwall, and Muav). This can be deduced from the fact that fluvial channels steepen significantly when they encounter those rock types. The clastic sedimentary rocks are more fractured and thinly bedded and hence require less power river flows to pluck bedrock from the channel bed. The actual sequence of rock strata represented in the model is a simplified version of the stratigraphy present in Grand Canyon. The sequence represented in the model has a strong layer located 400 m below the canyon rim, representing the Redwall limestone. The greater resistance of the Redwall limestone relative to rocks above and below it results in the largest single "step" in the cross sectional shape of Grand Canyon.

During the past several million years, Grand Canyon has been significantly altered by approximately 600 m of faulting along the Hurricane and Toroweap faults. That faulting is included in the model. The effect of the faulting is to lessen incision rates in western Grand Canyon and to increase incision rates (and create an "inner gorge") in eastern Grand Canyon.

The origin of Grand Canyon and the relief that triggered incision are still subjects of active debate. New ideas abound, such as the possibility that Grand Canyon was formed by a river flowing from west to east rather than east to west. Also, rocks from western and central Grand Canyon indicate that they have been relatively close to the surface (e.g. within approximately 2 km) for a very long time (c. 70 Myr). Whether this means that Grand Canyon is much older or that a canyon similar in shape to Grand Canyon existed higher in the stratigraphy (i.e. above the level of the Kaibab limestone) is uncertain. A list of scientific papers is provided below that delve into the process models used in WILSIM-GC and that explore these active scientific debates.

Further reading:

Aronsson, G., and Linde, K., 1982, Grand canyon—A quantitative approach to the erosion and weathering of stratified bedrock, Earth Surface Processes and Landforms, v. 7, p. 589–599.

Cole, K.L., and L. Mayer, 1982, Use of packrat middens to determine rates of cliff retreat in the eastern Grand Canyon, Arizona, Geology. v. 10, p. 597–599.

Flowers, R.M., and K.A. Farley, 2012, Apatite 4He/3He and (U-Th)/He Evidence for an Ancient Grand Canyon, Science, v. 338, p. 1616–1619 (also see comments and responses to this article published in Science).

Pederson, J., K. Karlstrom, W. Sharp, and W. McIntosh, 2002, Differential incision of the Grand Canyon related to Quaternary faulting – Constraints from U-series and Ar/Ar dating, Geology, v. 30, p. 739–742.

Pelletier, J.D., 2010, Numerical modeling of the late Cenozoic geomorphic evolution of Grand Canyon, Arizona, Geological Society of America Bulletin, v. 122, p. 595–608.

Polyak, V.J., C.A. Hill, and Y. Asmerom, 2008, Age and evolution of the Grand Canyon revealed by U-Pb dating of water table-type speleothems, Science, v. 319, p. 1377–1380 (also see comments and responses to this article published in Science).

Wernicke, B., 2011, The California River and its role in carving Grand Canyon, Geological Society of America Bulletin, v. 123, p. 1288–1316.

Whipple, K.X., and G.E. Tucker, 1999, Dynamics of the stream-power river incision model: Implications for height limits of mountain ranges, landscape response timescales, and research needs, Journal of Geophysical Research, v. 104, p. 17,661–17,674.



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