Advances in Earth Science ›› 2018, Vol. 33 ›› Issue (3): 293-304. doi: 10.11867/j.issn.1001-8166.2018.03.0293
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Zhaoduo Wang( ), Chunchang Huang *( ), Yali Zhou, Jiangli Pang, Xiaochun Zha
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Zhaoduo Wang, Chunchang Huang, Yali Zhou, Jiangli Pang, Xiaochun Zha. Characteristics of Holocene Loess-Palaeosol Particle Size Composition and Paleoclimatic Significance in East Guanzhong, Shaanxi Province[J]. Advances in Earth Science, 2018, 33(3): 293-304.
This paper made an end-member analysis of particle size data collected from 150 samples based on the continuous Holocene Loess-Paleosol profile (Yaohecun profile) in east Guanzhong, Shaanxi Province. Wavelet analysis was also performed for the EMs along the time scale of depth.The result shows that three end members can be separated from different sediment particle sizes. Based on comparative analysis of magnetic susceptibility and geochemical index, it was considered that the End-member 1 might indicate the weathering and pedogenic remoulding after sediment deposition under the east Asian summer monsoon. The End-member 2 might indicate dynamic effect of dust storm accumulation under the influence of northwest monsoon, representing typical component characteristics of aeolian loess.The End-member 3 indicated the stronger transporting force for coarse components, which should belong to the northeasterly winds for the coarse-grained near-source sediments from the Yellow River flood plain. Results of wavelet analysis show that each EM has different periodic characteristics at 1.5 ka, 3.0 ka and 4.5 ka scales.The End-element analysis method has a good effect in indicating the sedimentary environment and provenance characteristics of sediments. The combination characteristics of each End-member can reflect the characteristics of sedimentary dynamics combination and can well reflect the Holocene dynamic change course. At the same time, it hasreference significance to reconstruct the paleoclimate on the longer time scale.The wavelet analysis method provides significant results in terms of inversion cycles and trends of dynamics change of sedimentary particle size within each EM.