Quantifying proportions of different material sources to loess based on a grid search and Monte Carlo model: A case study of the Ili Valley, Central Asia
文献类型:期刊论文
作者 | Zeng, Mengxiu1; Song, Yougui2,3; Yang, Huan1; Li, Yue2; Cheng, Liangqing2; Li, Fengquan1; Zhu, Lidong1; Wu, Zhangrong1; Wang, Nengjing1 |
刊名 | PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY |
出版日期 | 2021-03-01 |
卷号 | 565页码:14 |
ISSN号 | 0031-0182 |
关键词 | Geochemical element Provenance Monte Carlo model Aeolian Topsoil samples Particle size |
DOI | 10.1016/j.palaeo.2020.110210 |
通讯作者 | Zeng, Mengxiu(mengxiuzeng@zjnu.edu.cn) ; Song, Yougui(syg@ieecas.cn) |
英文摘要 | The Ili Valley is among the main distribution areas of loess deposits in Xinjiang Province, Central Asia, while the provenance of Ili loess remains under debate. In this study, samples from near-surface loess, two types of topsoil and modern riverbed sediment were analyzed for their concentrations of major and trace geochemical elements to determine the relative proportions of different provenances of loess deposits in different zones of the Ili Valley. The results obtained by the grid search technology and Monte Carlo model indicated that the proximal material is dominated in the Ili loess. Alluvial-diluvial sediments as the main local material source have significantly influenced loess in the western region of Ili Valley. Moreover, this influence gradually decreases in the eastern region and the Zhaosu Basin. The proportion of modern riverbed sediment in the eastern Ili Valley is significantly lower than that in the Zhaosu Basin and is lowest in the western Ili Valley. However, the proportion of dust and topsoil type-II with the mean value of 11.8% and 7.2%, respectively, is highest in the western Ili Valley and lowest in the Zhaosu Basin. The complex natural background of the Ili Valley can be used to interpret the quantitative results and the geochemical characteristics of Ili loess from different regions. The reliability of the proposed method can be assessed by environmental indicators such as grain size, and geomorphic-hydrological background and other published records. |
资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDB40000000] ; Natural Science Foundation of Zhejiang Province, China[LQ18D020002] ; Natural Science Foundation of China[41971111] ; Natural Science Foundation of China[41977385] ; State Key Laboratory of Loess and Quaternary Geology[SKLLQGPY2006] |
WOS研究方向 | Physical Geography ; Geology ; Paleontology |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000636759000007 |
资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Natural Science Foundation of Zhejiang Province, China ; Natural Science Foundation of China ; State Key Laboratory of Loess and Quaternary Geology |
源URL | [http://ir.ieecas.cn/handle/361006/16360] |
专题 | 地球环境研究所_古环境研究室 第四纪科学与全球变化卓越创新中心 |
通讯作者 | Zeng, Mengxiu; Song, Yougui |
作者单位 | 1.Zhejiang Normal Univ, Coll Geog & Environm Sci, 688 Yingbin Rd, Jinhua 321004, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China 3.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China |
推荐引用方式 GB/T 7714 | Zeng, Mengxiu,Song, Yougui,Yang, Huan,et al. Quantifying proportions of different material sources to loess based on a grid search and Monte Carlo model: A case study of the Ili Valley, Central Asia[J]. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,2021,565:14. |
APA | Zeng, Mengxiu.,Song, Yougui.,Yang, Huan.,Li, Yue.,Cheng, Liangqing.,...&Wang, Nengjing.(2021).Quantifying proportions of different material sources to loess based on a grid search and Monte Carlo model: A case study of the Ili Valley, Central Asia.PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,565,14. |
MLA | Zeng, Mengxiu,et al."Quantifying proportions of different material sources to loess based on a grid search and Monte Carlo model: A case study of the Ili Valley, Central Asia".PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY 565(2021):14. |
入库方式: OAI收割
来源:地球环境研究所
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