2019
DOI: 10.1016/j.dib.2019.104476
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Fault Scarp Dating Tool - a MATLAB code for fault scarp dating using in-situ chlorine-36 supplemented with datasets of Yavansu and Kalafat faults

Abstract: We publish a MATLAB code used to analyze concentration profile of cosmogenic 36Cl accumulated in-situ through a rupture history of the fault scarps in western Turkey (Mozafari et al., 2019). The code is a version of the forward modeling Matlab code -Fault Scarp Dating Tool- (Tikhomirov, 2014). The code models a 36Cl profile accumulated in the fault scarp surface through a guessed rupture history, and compares the modeled and measured 36Cl profiles with statistical tests. Rupture histories are randomly generate… Show more

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Cited by 11 publications
(17 citation statements)
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“…Bayesian techniques are often applied to deal with uncertainty associated with limited data (Amey et al, 2019;Bronk Ramsey, 2009;Montoya-Noguera & Wang, 2017). Several different Bayesian MCMC approaches have been developed for modeling cosmogenic data from fault scarps (Beck et al, 2018;Tesson & Benedetti, 2019;Tikhomirov et al, 2011). In this study, we prefer the modified version of the approach in Cowie et al (2017) because our primary aim is to identify and compare first-order variations in fault slip rate.…”
Section: Sample Collection and Preparationmentioning
confidence: 99%
“…Bayesian techniques are often applied to deal with uncertainty associated with limited data (Amey et al, 2019;Bronk Ramsey, 2009;Montoya-Noguera & Wang, 2017). Several different Bayesian MCMC approaches have been developed for modeling cosmogenic data from fault scarps (Beck et al, 2018;Tesson & Benedetti, 2019;Tikhomirov et al, 2011). In this study, we prefer the modified version of the approach in Cowie et al (2017) because our primary aim is to identify and compare first-order variations in fault slip rate.…”
Section: Sample Collection and Preparationmentioning
confidence: 99%
“…We collected 87 samples, which covered approximately 7 m of the 12-m scarp surface height from the ground level; 36 samples were obtained from both MAN-A and MAN-B, and 15 samples from MAN-C. In addition, the fault scarp geometry parameters (i.e., scarp dip, scarp height, top surface dip, and colluvium dip, Figure 5) were precisely measured in the field (e.g., [22,27,37]. In comparison, Akçar et al [24] collected 44 samples along a ca.…”
Section: Samplingmentioning
confidence: 99%
“…To analyze the distribution of 36 Cl concentrations accumulated on the Manastır fault scarp (MAN) and reanalyze the dataset for the Mugırtepe fault scarp (MUG), we applied the computation code based on the Monte-Carlo method, which allows the reconstructions of the time-slip histories of normal fault scarps through two separate stages of database building and data simulation [37]. In the database-building stage, the chemical composition of the bedrock, sample positions, shielding of the scarp and colluvium are considered to calculate the production of the isotope in every sample depending on fixed slip step and rock erosion.…”
Section: Fault Scarp Dating Toolmentioning
confidence: 99%
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