| Literature DB >> 35558089 |
Yougui Song1,2, Yue Li1,3, Qiansuo Wang4, Hongmei Dong5, Zhiping Zhang6, Rustam Orozbaev7,8.
Abstract
Magnetic susceptibility (MS) as a paleoclimatic proxy plays an important role in paleoenvironmental reconstruction and past global climatic change. In order to discriminate the effect of composition on the MS of Quaternary eolian loess in inland arid Central Asia (CA), a series of comparative chemical experiments were designed to investigate the effects of different components on MS of loess from the Ili Basin CA and Chinese Loess Plateau (CLP). The results indicate that hydrochloric acid (HCl) can not only remove carbonate minerals, but also react with ferrous ions minerals by dissolving fine superparamagnetic particles (SPs), which reduces MS, especially in the CLP samples. Compared to the original samples, MS (χ lf) of acetic acid (AA) pretreated samples from CA and CLP increased by 20.3% and 4.8%, respectively, and their frequency-dependent MS (χ fd) increased by 53.4% and 13.0%, respectively, which indicates that the effect of carbonates on MS is greater for CA samples than for CLP samples. The variation in MS was below 5% in samples pretreated with perhydrol (H2O2) or distilled water, indicating that organic material and soluble components have very small influences on the MS. Temperature-dependence MS curves indicate that the transformation of magnetic minerals during the cooling of loess from the CLP mainly affected fine particles in the SPs, and that the contents of lepidocrocite and maghemite or goethite in the CA loess are lower than those in the CLP. The loess MS enhancement mechanism in Central Asia differs from that in the CLP. This journal is © The Royal Society of Chemistry.Entities:
Year: 2018 PMID: 35558089 PMCID: PMC9088824 DOI: 10.1039/c8ra00617b
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 3.361
Fig. 1Loess sections locations in the Chinese Loess Plateau (a) and the Ili Basin of Central Asia (b) (modified from Song et al., 2014).
Fig. 2X-ray diffraction patterns with different pretreated methods of selected samples from the Ili Basin (a) and the CLP (b).
Variations of magnetic parameters of samples used different chemical pretreatment methods
| Pretreated method |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original | Water | H2O2 | AA | HCl | Original | Water | H2O2 | AA | HCl | Original | Water | H2O2 | AA | HCl | Original | Water | H2O2 | AA | HCl | ||
| Central Asia samples | ZSP35 | 78.9 | 80.4 | 79.8 | 91.6 | 71.8 | 76.3 | 78.0 | 77.3 | 88.3 | 71.0 | 2.6 | 2.4 | 2.5 | 3.3 | 0.9 | 3.3 | 3.0 | 3.1 | 3.6 | 1.2 |
| ZSP55 | 76.4 | 75.4 | 78.6 | 95.5 | 82.3 | 74.7 | 73.6 | 77.2 | 92.0 | 81.2 | 1.7 | 1.8 | 1.4 | 3.5 | 1.0 | 2.2 | 2.4 | 1.7 | 3.7 | 1.3 | |
| ZSP70 | 72.4 | 71.9 | 72.4 | 88.2 | 84.9 | 71.1 | 70.6 | 71.0 | 86.0 | 83.3 | 1.2 | 1.2 | 1.3 | 2.3 | 1.6 | 1.7 | 1.7 | 1.9 | 2.6 | 1.8 | |
| ZSP170 | 59.8 | 59.9 | 60.4 | 72.0 | 67.6 | 59.0 | 59.7 | 59.2 | 70.1 | 66.9 | 0.9 | 0.2 | 1.2 | 1.9 | 0.7 | 1.4 | 0.3 | 1.9 | 2.6 | 1.0 | |
| ZSP340 | 43.1 | 42.8 | 42.8 | 52.7 | 48.0 | 42.3 | 42.3 | 42.3 | 51.5 | 47.3 | 0.8 | 0.4 | 0.5 | 1.1 | 0.7 | 1.8 | 1.0 | 1.2 | 2.1 | 1.5 | |
| ZSP560 | 47.1 | 47.0 | 47.2 | 56.1 | 50.8 | 46.1 | 46.2 | 46.4 | 54.8 | 50.6 | 0.9 | 0.8 | 0.8 | 1.3 | 0.2 | 2.0 | 1.7 | 1.7 | 2.4 | 0.3 | |
| TLD30 | 82.2 | 81.8 | 83.8 | 97.4 | 72.5 | 78.8 | 78.6 | 80.5 | 92.6 | 71.7 | 3.4 | 3.2 | 3.2 | 4.8 | 0.9 | 4.2 | 3.9 | 3.9 | 4.9 | 1.2 | |
| TLD120 | 80.3 | 82.0 | 82.7 | 96.3 | 92.1 | 78.5 | 80.7 | 81.3 | 94.2 | 90.5 | 1.9 | 1.3 | 1.4 | 2.1 | 1.6 | 2.3 | 1.6 | 1.7 | 2.2 | 1.7 | |
| TLD220 | 82.0 | 84.0 | 84.4 | 98.9 | 74.4 | 79.9 | 82.9 | 83.1 | 96.6 | 73.1 | 2.1 | 1.1 | 1.2 | 2.3 | 1.3 | 2.6 | 1.3 | 1.5 | 2.3 | 1.7 | |
| TLD320 | 80.3 | 81.4 | 81.9 | 96.1 | 73.3 | 78.5 | 79.1 | 79.1 | 93.4 | 71.5 | 1.8 | 2.3 | 2.8 | 2.7 | 1.8 | 2.2 | 2.9 | 3.4 | 2.8 | 2.5 | |
| TLD420 | 90.0 | 91.0 | 91.0 | 107.3 | 102.7 | 88.1 | 90.0 | 89.2 | 104.8 | 101.0 | 1.9 | 1.0 | 1.7 | 2.6 | 1.6 | 2.1 | 1.1 | 1.9 | 2.4 | 1.6 | |
| TLD530 | 81.0 | 82.2 | 83.4 | 98.1 | 73.6 | 79.4 | 80.0 | 81.5 | 95.3 | 71.3 | 1.6 | 2.2 | 1.9 | 2.8 | 2.2 | 1.9 | 2.7 | 2.3 | 2.9 | 3.1 | |
| CLP samples | WN100 | 154.2 | 149.9 | 148.2 | 152.2 | 22.9 | 138.2 | 133.1 | 132.0 | 135.6 | 22.7 | 16.0 | 16.7 | 16.2 | 16.6 | 0.2 | 10.4 | 11.2 | 10.9 | 10.9 | 0.8 |
| WN300 | 122.8 | 118.9 | 119.4 | 133.3 | 22.1 | 111.4 | 106.7 | 108.2 | 119.6 | 21.6 | 11.4 | 12.1 | 11.2 | 13.7 | 0.4 | 9.3 | 10.2 | 9.4 | 10.3 | 1.9 | |
| WN500 | 155.2 | 150.6 | 151.0 | 165.4 | 22.6 | 139.9 | 136.0 | 136.1 | 147.8 | 22.2 | 15.4 | 14.6 | 15.0 | 17.7 | 0.4 | 9.9 | 9.7 | 9.9 | 10.7 | 1.6 | |
| WN700 | 220.2 | 211.5 | 212.1 | 227.6 | 23.4 | 196.7 | 188.7 | 188.8 | 201.5 | 23.0 | 23.5 | 22.8 | 23.3 | 26.1 | 0.4 | 10.7 | 10.8 | 11.0 | 11.5 | 1.7 | |
| WN900 | 121.3 | 119.0 | 118.8 | 136.5 | 21.3 | 110.0 | 108.2 | 108.3 | 122.4 | 21.1 | 11.3 | 10.8 | 10.6 | 14.1 | 0.3 | 9.3 | 9.1 | 8.9 | 10.4 | 1.2 | |
| WN1100 | 265.8 | 255.4 | 248.9 | 263.8 | 18.6 | 234.9 | 224.9 | 219.2 | 231.6 | 18.3 | 31.0 | 30.5 | 29.6 | 32.3 | 0.3 | 11.6 | 11.9 | 11.9 | 12.2 | 1.8 | |
| CA mean | 72.8 | 73.3 | 74.0 | 87.5 | 74.5 | 71.1 | 71.8 | 72.3 | 85.0 | 73.3 | 1.7 | 1.5 | 1.7 | 2.6 | 1.2 | 2.3 | 2.0 | 2.2 | 2.9 | 1.6 | |
| CLP mean | 173.3 | 167.5 | 166.4 | 179.8 | 21.8 | 155.2 | 149.6 | 148.8 | 159.7 | 21.5 | 18.1 | 17.9 | 17.6 | 20.1 | 0.3 | 10.2 | 10.5 | 10.3 | 11.0 | 1.5 | |
Fig. 3Column diagrams of magnetic parameters variations relative to the original samples from Central Asia (prefixed by ZSP and TLD) and the Chinese Loess Plateau (prefixed by WN) pretreated with different methods.
Fig. 4The MS-temperature curves for loess samples pretreated with different methods from Central Asia and the Chinese Loess Plateau. Bold and thin lines represent heating and cooling, respectively, and red and blue lines represent samples pretreated with HCl and AA, respectively.