Work

Source fingerprinting loess deposits in Central Asia using elemental geochemistry with Bayesian and GLUE models

Year: 2020

Type: article

Source: CATENA

DOI: 10.1016/j.catena.2020.104808

Authors: Yue Li, Hamid Gholami, Yougui Song, Aboalhasan Fathabadi, Hossein Malakooti, Adrian L. Collins

Institutions: Chinese Academy of Sciences, Institute of Earth Environment, University of Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, University of Hormozgan, Gonbad Kavous University, Rothamsted Research

Language: English

Topic: Aeolian processes and effects

Subfield: Earth-Surface Processes

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: closed

Funders: Rothamsted Research, UK Research and Innovation, Chinese Academy of Sciences, Biotechnology and Biological Sciences Research Council

Awards: G1644640978, S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales

OpenAlex ID: W3045698650

FWCI: 6.123

Cites: 76

Cited by: 54

Related to: 10