The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China

Yan, Luobin; Peng, Hua; Zhang, Shaoyun; Zhang, Ruoxi; Kašanin-Grubin, Milica; Lin, Kairong; Tu, Xinjun

doi:10.1038/s41598-018-37238-7

2019

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Authors

Yan, Luobin
Peng, Hua
Zhang, Shaoyun
Zhang, Ruoxi
Kašanin-Grubin, Milica

Lin, Kairong
Tu, Xinjun

Article (Published version)

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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, ...

Keywords:

China / red beds / Danxia landforms / geological maps of China / tectonic maps of China

Source:
Scientific Reports, 2019, 9, 1, 1961-

Publisher:

Springer Nature Publishing AG

Funding / projects:

Geochemical investigations of sedimentary rocks - fossil fuels and environmental pollutants (RS-176006)
National Natural Science Foundation of China, Project No. 41771088
National Natural Science Foundation of China, Project No. 51779279
Fundamental Research Funds for the Central Universities, SWU 118202
Special Program for Key Basic Research of the Chinese Ministry of Science and Technology, Project ĆNational Danxia Landform Basic Data Survey”, Grant No. 2013FY111900

DOI: 10.1038/s41598-018-37238-7

ISSN: 1476-4687 (electronic); 0028-0836 (print)

WoS: 000458573000002

Scopus: 2-s2.0-85061489296

[ Google Scholar ]



	11
	5

TY  - JOUR
AU  - Yan, Luobin
AU  - Peng, Hua
AU  - Zhang, Shaoyun
AU  - Zhang, Ruoxi
AU  - Kašanin-Grubin, Milica
AU  - Lin, Kairong
AU  - Tu, Xinjun
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2870
AB  - 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.
PB  - Springer Nature Publishing AG
T2  - Scientific Reports
T1  - The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China
VL  - 9
IS  - 1
SP  - 1961
DO  - 10.1038/s41598-018-37238-7
ER  -

@article{
author = "Yan, Luobin and Peng, Hua and Zhang, Shaoyun and Zhang, Ruoxi and Kašanin-Grubin, Milica and Lin, Kairong and Tu, Xinjun",
year = "2019",
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.",
publisher = "Springer Nature Publishing AG",
journal = "Scientific Reports",
title = "The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China",
volume = "9",
number = "1",
pages = "1961",
doi = "10.1038/s41598-018-37238-7"
}

Yan, L., Peng, H., Zhang, S., Zhang, R., Kašanin-Grubin, M., Lin, K.,& Tu, X.. (2019). The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China. in Scientific Reports
Springer Nature Publishing AG., 9(1), 1961.
https://doi.org/10.1038/s41598-018-37238-7

Yan L, Peng H, Zhang S, Zhang R, Kašanin-Grubin M, Lin K, Tu X. The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China. in Scientific Reports. 2019;9(1):1961.
doi:10.1038/s41598-018-37238-7 .

Yan, Luobin, Peng, Hua, Zhang, Shaoyun, Zhang, Ruoxi, Kašanin-Grubin, Milica, Lin, Kairong, Tu, Xinjun, "The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China" in Scientific Reports, 9, no. 1 (2019):1961,
https://doi.org/10.1038/s41598-018-37238-7 . .