Abstract

This research examined the distribution features of red beds and 1,100 Danxia landform sites across China, while probing the relationship between these spatial patterns and geological elements. This study is based on geological and tectonic maps of China. ArcGIS software was used to process the adjacent index, then perform a spatial analysis of Danxia landforms and red beds, and a coupling analysis of Danxia landforms and red beds with tectonics. Based on a point pattern analysis of Danxia landforms, the adjacent index is 0.31, and the coefficient of variation verified by Thiessen polygon reaches 449%. These figures reflect the clustered distribution pattern of the Danxia landforms. Across the country, Danxia landforms are concentrated into three areas, namely, the Southeast China region, the Sichuan Basin region and the Qilian-Liupan region. The exposure of red beds covers 9.16 × 105 km2, which accounts for 9.5% of the total land area of China. With this research background, the geological elements of tectonics and their effects on the distribution, number, and spatial pattern of Danxia landforms and red beds were analyzed.

Details

Title
The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China
Author
Yan Luobin 1 ; Peng, Hua 2 ; Zhang Shaoyun 2 ; Zhang Ruoxi 2 ; Kašanin-Grubin Milica 3 ; Lin Kairong 2   VIAFID ORCID Logo  ; Tu Xinjun 2 

1  Southwest University, School of Geographical Sciences, Chongqing, China (GRID:grid.263906.8); School of Geography and Planning, Sun Yat-sen University, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X) 
2  School of Geography and Planning, Sun Yat-sen University, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X) 
3  University of Belgrade, Institute of Chemistry, Technology and Metallurgy, Belgrade, Serbia (GRID:grid.7149.b) (ISNI:0000 0001 2166 9385) 
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41598-018-37238-7
ProQuest document ID
2179730208
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.