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Mangshan Loess in Central China and the Paleomonsoon Variations since the Last Interglaciation
Author(s) -
Fuchu JIANG,
Shubing WANG,
Zhizhong ZHAO,
Jianli FU
Publication year - 2004
Publication title -
acta geologica sinica ‐ english edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 61
eISSN - 1755-6724
pISSN - 1000-9515
DOI - 10.1111/j.1755-6724.2004.tb00200.x
Subject(s) - loess , stadial , paleosol , geology , interglacial , glacial period , section (typography) , physical geography , china , geomorphology , paleontology , geography , archaeology , advertising , business
  The Mangshan Yuan is a loess platform on the southern bank of the Yellow River, which is located in northwestern Zhengzhou of Henan Province, China. The typical Zhaoxiayu section of the Mangshan Yuan preserves stratigraphical loess units above S 10 with a total thickness of 172.1 m, which includes 15.7 m of the last interglacial paleosol S 1 , 77.3 m of the last glacial loess L 1 that consist of 41.6 m of the late stade L 1 LL 1 , 13.2 m of the interstade L 1 SS 1 and 22.5 m of the early stade L 1 LL 2 . Based on the age marking points by correlating magnetic susceptibility of the section with the SPECMAP curve, the timescale of the section was constructed, and the average accumulation rate and the resolution of each loess strata over the S 2 were subsequently calculated using the susceptibility age model. The results indicate that strata units developed in the glacial, interglacial stages, stadial and interstadial show substantial differences in grain size, average accumulation rate and time resolution ub the Zhaoxiayu section. Specifically, the average accumulation rate of the loess L 1 LL 1 is 3.45 mm/a, whereas that of paleosol S 1 is only 0.28 mm/a. Based on the high‐resolution records of magnetic susceptibility and >45 μm fraction percentage of the loess‐paleosol, the summer and winter monsoon variations as well as their interrelations since the last interglaciation have been discussed, which were correlated with the SPECMAP and the GRIP climate records.

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