Re-evaluating the origins of sands in the Gurbantunggut Desert and its role as an aeolian dust contributor

风积作用 沙漠(哲学) 地质学 地球科学 地貌学 政治学 法学
作者
Yue Li,Yougui Song,Yuan Guo,Peng Liang,Xiuling Chen,Jingyun Xiao,Shukhrat Shukurov,Yudong Li
出处
期刊:Global and Planetary Change [Elsevier BV]
卷期号:: 104482-104482
标识
DOI:10.1016/j.gloplacha.2024.104482
摘要

We analyzed the trace and rare earth element contents of the desert sands and loess deposits in the Junggar Basin. Combined with previously published data, and using principal component analysis, our results provide insights into the sand provenances of the Gurbantunggut Desert in eastern Central Asia (CA); the genetic links between deserts and loess deposits; and the specific sources in CA for the aeolian dust in North Pacific Ocean sediments. The results also demonstrate the spatial heterogeneity of the geochemistry of sand across the Gurbantunggut Desert. The desert sands in the northern and western parts of this desert are mainly derived from the Altai and Junggar mountains, respectively, as supported by the north-south directions of sand fluxes. However, Beitashan Mountain makes a negligible contribution due to the lack of fluvial transport and westward sand fluxes. However, more sediment samples need to be collected to confirm the contribution of a "Tianshan" Mountains source. Our findings also indicate that the Gurbantunggut Desert did not contribute significantly to loess accumulation on the northern slopes of the Tianshan Mountains, in accordance with the weak genetic relationships between the loess deposits and deserts in western CA. We attribute this to the limited ability of the CA deserts to produce and supply dust-sized particles. Additionally, using the Metropolis-Hastings sampling approach, we found that the Gurbantunggut Desert is not the source region in CA for the fine dust particles in North Pacific Ocean sediments. Overall, our results contribute to a deeper understanding of the aeolian systems in CA, and they elucidate their impacts on the dust cycle at a hemispheric scale.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
记得吃早饭完成签到 ,获得积分10
刚刚
昏睡的衬衫完成签到,获得积分10
1秒前
大力的灵雁应助ccc采纳,获得10
1秒前
czl完成签到,获得积分10
2秒前
淡定尔岚L完成签到 ,获得积分10
3秒前
那个谁谁完成签到,获得积分10
3秒前
4秒前
谨慎翎完成签到 ,获得积分10
5秒前
6秒前
wsqg123完成签到,获得积分10
6秒前
九月完成签到,获得积分10
6秒前
MYunn完成签到,获得积分10
6秒前
一条摆摆的沙丁鱼完成签到 ,获得积分10
7秒前
123123完成签到,获得积分10
7秒前
Disguise完成签到,获得积分10
8秒前
动听的飞松完成签到 ,获得积分10
9秒前
李爱国应助QwQ采纳,获得10
9秒前
负责的紫安完成签到 ,获得积分10
10秒前
Dream完成签到 ,获得积分10
11秒前
脑子空空完成签到 ,获得积分10
11秒前
三木山完成签到,获得积分10
12秒前
韩野完成签到,获得积分10
12秒前
薄荷完成签到 ,获得积分10
14秒前
取名叫做利完成签到 ,获得积分10
19秒前
严念桃完成签到,获得积分10
19秒前
20秒前
斯文的访烟完成签到,获得积分10
20秒前
21秒前
Yang完成签到,获得积分10
22秒前
宝宝发布了新的文献求助10
23秒前
LALALADDDD完成签到,获得积分10
24秒前
shift3310完成签到,获得积分10
25秒前
bing完成签到,获得积分10
25秒前
长理物电强完成签到,获得积分10
26秒前
姜菲菲完成签到,获得积分10
26秒前
烟花应助嗯哼哈哈采纳,获得10
27秒前
打打应助挣钱抱男模采纳,获得10
28秒前
星辰大海应助执着的导师采纳,获得10
29秒前
sss完成签到,获得积分10
30秒前
wxxl完成签到,获得积分10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6344999
求助须知:如何正确求助?哪些是违规求助? 8159659
关于积分的说明 17157307
捐赠科研通 5401050
什么是DOI,文献DOI怎么找? 2860628
邀请新用户注册赠送积分活动 1838525
关于科研通互助平台的介绍 1688041