Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting-Reference-Cited by-同舟云学术

Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting

Published:2022-03 Issue: Volume:210 Page:105902
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Song Yougui,Chen Xiuling,Li Yue,Fan Yifei,Collins Adrian L.

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference113 articles.

1. Using GLUE to pull apart the provenance of atmospheric dust;Behrooz;Aeolian Res.,2019

2. Applied Multidimensional Scaling;Borg,2013

3. Seasonal variability in the origin of recent atmospheric mineral dust at NorthGRIP, Greenland;Bory;Earth Planet. Sci. Lett.,2002

4. Breiman, L., 2001. Random forests. Machine learning 45, 5–32.

5. Sr and Nd isotope ratios and REE abundances of moraines in the mountain areas surrounding the Taklimakan Desert, NW China;Chang;Geochem. J. Geochem. Soc. Japan,2000

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantification of the provenance contribution and sedimentary mixing effect of sediments in the Yellow River Basin, China;Science of The Total Environment;2024-10

2. Grain-size composition and depositional environment of surface sediments in the Kubuqi Desert, China;2024-08-13

3. Quantitative Analysis of Aeolian Sand Provenance: A Comprehensive Analysis in the Otindag Dune Field, Central Inner Mongolia, China;Land;2024-08-02

4. Re-evaluating the origins of sands in the Gurbantunggut Desert and its role as an aeolian dust contributor;Global and Planetary Change;2024-08

5. Grain size characteristics of different types of surface sediments around Qixing Lake in Kubuqi Desert;Frontiers in Environmental Science;2024-07-05