title: Detecting sedimentary cycles using autocorrelation of grain size.
abstract: Detection of sedimentary cycles is difficult in fine-grained or homogenous sediments but is a prerequisite for the interpretation of depositional environments. Here we use a new autocorrelation analysis to detect cycles in a homogenous sediment core, E602, from the northern shelf of the South China Sea. Autocorrelation coefficients were calculated for different mean grain sizes at various depths. The results show that sediments derived from rapid depositional events have a better autocorrelation. Analysis of two other cores confirms this result. Cores composed of sediments deposited quickly under stable and/or gradually changing hydrodynamic conditions, have higher autocorrelation coefficients, whereas, those composed of sediments deposited during calm periods have relatively low autocorrelation coefficients. It shows that abrupt changes in autocorrelation coefficients usually indicate the existence of a boundary between adjacent sedimentary cycles, with each cycle beginning with a high positive autocorrelation coefficient of grain size and ending with a low negative one.
authors.affiliation: China Three Gorges University, Yichang 443002, China. shangbinx@163.com
authors.forename: Shangbin
authors.initials: S
authors.lastname: Xiao
authors.forename: Rui
authors.initials: R
authors.lastname: Li
authors.forename: Muhong
authors.initials: M
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods*; D019015:Geologic Sediments / Q000032:analysis* / Q000737:chemistry*; D015233:Models, Statistical; D010316:Particle Size; D013223:Statistics as Topic