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Cosmogenic 10Be Depth Profile Dating of Strath Terrace Abandonment using Monte Carlo Simulation

몬테카를로 시뮬레이션을 이용한 하안단구 10Be 수직단면 연대측정

  • Kim, Dong-Eun (Department of Earth & Environmental Sciences, Tulane University) ;
  • Seong, Yeong Bae (Department of Geography Education, Korea University) ;
  • Kim, Jong-Geun (Research & Development Office, Korea Appraisal Board)
  • 김동은 (미국 Tulane 대학교 지구환경과학과) ;
  • 성영배 (고려대학교 지리교육과) ;
  • 김종근 (한국감정원 연구개발실)
  • Received : 2019.12.22
  • Accepted : 2019.12.26
  • Published : 2019.12.30

Abstract

Timing of terrace formation is a key information for understanding the evolution of fluvial systems. In particular, dating strath terrace (i.e. timing of terrace abandonment) is more difficult than depositional terrace that is conventionally constrained by radiocarbon, OSL and other dating methods targeting samples within terrace deposit. Surface exposure dating utilizing cosmogenic 10Be provides more reliability because it can be applied directly to the surface of a fluvial terrace. Thus, this method has been increasingly used for alluvial deposits. As well as other geomorphic surfaces over the last decades. Some inherent conditions, however, such as post-depositional 10Be concentration (i.e. inheritance), surface erosion rate, and density change challenge the application of cosmogenic 10Be to depositional terrace surface against simple bedrock surface. Here we present the first application of 10Be depth profile dating to a thin-gravel covered strath terrace in Korea. Monte Carlo simulation (MCS) helped us in better constraining the timing of abandonment of the strath terrace, since which its surface stochastically denuded with time, causing unexpected change of 10Be production with depth. The age of the strath terrace estimated by MCS was 109 ka, ~4% older than the one (104 ka) calculated by simple depth profile dating, which yielded the best-fit surface erosion rate of 2.1 mm/ka. Our study demonstrates that the application of 10Be depth profile dating of strath terrace using MCS is more robust and reliable because it considers post-depositional change of initial conditions such as erosion rate.

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Acknowledgement

본 연구는 2019학년도 고려대학교 사범대학 특별연구비 지원을 받아 수행되었음(K1909871).