Abstract The Taroko area of Taiwan represents an extremely dynamic environment, of rapid geological and geomorphological change. The location of the area on the collision zone between the continental Eurasian plate and the oceanic Philippine Sea plate leads to a high frequency of seismic activity, intense internal deformation and high rates of tectonic uplift. The rate of uplift, which is believed to be one of the highest measured, is approximately 5.5mm per annum, with higher rates inferred for the last million years. In consequence, the area, which consists predominantly of relatively weak, intensely deformed marble and schist, has a high potential energy providing ideal conditions for rapid landform evolution. In addition to high rates of uplift, high rates of denudation are also favoured by the extreme climatic conditions. In particular, the area is seasonally affected by tropical cyclones (typhoons); an average of 16 of these occur in the northwest Pacific per annum, about three of which affect Taiwan. The passage of a typhoon is marked by heavy rainfall which may reach intensities of 100mm per hour and 1500mm in 24 hours. The high rainfall intensities generate intense fluvial activity, including extensive overland flow, high peak discharges, the mobilization of debris channels, landslides and rockfalls. Intense tectonic and geomorphological activity provide the ideal environment for studying the rapid evolution of landscapes. In this paper, uplift data are combined with daily hydrological records from a major river for the last fifteen years. The hydrological records, which include discharge, mean flow rates and sediment volumes, are used to estimate the sediment budget for the river and hence to estimate denudation rates. It is demonstrated that average aerial denudation rates approximately equal uplift rates. These data are then used to generate a simple computer model for the evolution of Taroko Gorge, which demonstrates that current landforms may be created without substantial changes in the rate of uplift.
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