Evaluating fluvial terrace riser degradation using LiDAR-derived topography: An example from the northern Tian Shan, China

Zhanyu Wei, Ramon Arrowsmith, Honglin He

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The morphological degradation of fluvial terrace risers provides a constraint to terrace chronology. In this study, we morphologically date the terrace risers along the Kuitun River on the north flank of the Tian Shan, China and subsequently discuss possible relationships between terrace formation and the past regional climate changes and tectonic activity of the Dushanzi fault-related fold. To do this, 159 topographic profile swaths of terrace risers were extracted from LiDAR-derived DEM and were analysed to determine a range of best fitting morphological ages. Through Monte Carlo simulation, a locally applicable sediment transport coefficient (diffusivity) was calibrated as 5.5±1.6m2/ky given the morphological age of the T1/T2 riser and its independently known age. Taking this calibrated coefficient, we estimate age ranges of 11.6±3.4ka, 6.5±1.4ka, 5.3±1.1ka, and 4.2±1.2ka for terraces T3, T4, T5, and T6, respectively, under the assumption that the age of the riser is close to the abandonment age of the lower surface. These new terrace ages, combining climate proxy records from the oxygen isotope curve from the Guliya ice cap and paleoearthquake events in the Dushanzi fault related fold, suggest that tectonic activity may be an important factor in the formation of lower terraces within the growing anticlines, while in more extensive areas beyond anticlines, climate changes controlled the main deposition and incision events in the present study area, and thus terrace formation of T1-T3.

Original languageEnglish (US)
Pages (from-to)430-442
Number of pages13
JournalJournal of Asian Earth Sciences
Volume105
DOIs
StatePublished - Jun 1 2015

Keywords

  • Diffusion model
  • Fluvial terrace
  • LiDAR
  • Tian Shan

ASJC Scopus subject areas

  • Geology
  • Earth-Surface Processes

Fingerprint

Dive into the research topics of 'Evaluating fluvial terrace riser degradation using LiDAR-derived topography: An example from the northern Tian Shan, China'. Together they form a unique fingerprint.

Cite this