Data for: 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.

Name: Data for: 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.
Creator: Mengxiu Zeng
Published: 2021-01-04T09:51:53.197Z
Keywords: Loess, Quantitative Technique, Provenance Analysis, Terrestrial Paleoenvironments

Zeng, Mengxiu; Song, Yougui; Yang, Huan; Li, Yue; Cheng, Liangqing; Li, Fengquan; Zhu, Lidong; Wu, Zhangrong; Wang, Nengjing

doi:10.17632/7bz59843z6.1

Data for: 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.

Published: 4 January 2021| Version 1 | DOI: 10.17632/7bz59843z6.1

Contributors:

Mengxiu Zeng, Yougui Song, Huan Yang, Yue Li, Liangqing Cheng, Fengquan Li, Lidong Zhu, Zhangrong Wu, Nengjing Wang

Description

The relative abundances of geochemical elements determined by XRF in the near-surface loess (58 samples), topsoil type-I (17 samples), topsoil type-II (14 samples) and modern riverbed sediments (5 samples). Furthermore, also including the sand content in different types of topsoil from the Ili Valley (115 samples). All data is presented in tables within the manuscript.

Data for: 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.

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