TY - JOUR
T1 - Quantifying Tectonic and Geomorphic Interpretations of Thermochronometer Data with Inverse Problem Theory
AU - G. Bao, Y. Dou, T. A. Ehlers, P. Li, Y. Wang & Z. Xu
JO - Communications in Computational Physics
VL - 1
SP - 129
EP - 146
PY - 2011
DA - 2011/09
SN - 9
DO - http://doi.org/10.4208/cicp.090110.270410a
UR - https://global-sci.org/intro/article_detail/cicp/7494.html
KW - 
AB - <p style="text-align: justify;">Thermochronometer data offer a powerful tool for quantifying a wide range
of geologic processes, such as the deformation and erosion of mountain ranges, topographic
evolution, and hydrocarbon maturation. With increasing interest to quantify
a wider range of complicated geologic processes, more sophisticated techniques are
needed. This paper is concerned with an inverse problem method for interpreting the
thermochronometer data quantitatively. Two novel models are proposed to simulate
the crustal thermal fields and paleo mountain topography as a function of tectonic and
surface processes. One is a heat transport model that describes the change of temperature
of rocks; while the other is surface process model which explains the change of
mountain topography. New computational algorithms are presented for solving the
inverse problem of the coupled system of these two models. The model successfully
provides a new tool for reconstructing the kinematic and the topographic history of
mountains.</p>