Loess microstructure indication indexes for the study of palaeoclimatic conditions in northwest China

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2023-08-13 DOI:10.1002/gdj3.202
Deng Jin
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Abstract

The Loess Plateau of China, located to the west of the Liupan Mountains and north of the Qinling Mountains stretching across the Yellow River, is the main loess deposit area in Northwest China. The loess in the northwest of China has deposits with large thickness and extensive distribution. Scanning electron microscopy (SEM) and energy spectrum analysis of loess have been performed to study the relationship between the loess microstructures and the forming climates Era. The relevant indexes were evaluated including the sand-dropping speed (Vn), certain sedimentary depths (hn sand particle volume (Vd) and element ratios of Ca/Fe, K/Al, Si/Al and Ca/Mg. The microstructure indexes of loess accumulation and evolution reflect paleoclimate conditions and time scales to a certain extent. The important discovery is the microscopic sand-dropping speed (Vn) and the sedimentary depth hn) calculation method of different sedimentary ages. These indices are compared with the record of major aeolian-forming climates from the Guliya ice core, and provide a reliable benchmark for studying climate change It also can be used as important indicators of monsoonal change and environmental evolution reconstruction. The index of sand sedimentation speed (Vn) got from loess microstructure could reflect sand-dropping speed and loess deposition course. According the article can serve as new indicators of climatic changes of different forming loess layers. It can also be concluded that the climatic indexes obtained from loess microstructure can reflect climate conditions of loess forming. The loess forming climatic parameters are synchronous correspond to Tengger Desert and Guliya ice core for studying climate change, then microscopic parameters can also be used for preliminary analysis of loess climate formation and has be found corresponding evidence, and the loess climatic parameters correspond to the other two indexes. The analysis of loess microstructure indexes is very useful in researching climate change. Loess microstructure indexes can find new indicators and information about the monsoon climate evolution and paleoclimate changes.

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西北地区古气候条件研究的黄土微观结构指示指标
黄土高原位于横跨黄河的六盘山以西、秦岭以北,是中国西北地区主要的黄土沉积区。中国西北地区黄土沉积厚度大,分布广泛。通过对黄土的扫描电镜和能谱分析,研究了黄土微观结构与形成气候时代的关系。评价了砂落速度(Vn)、沉积深度(hn)、砂粒体积(Vd)、Ca/Fe、K/Al、Si/Al、Ca/Mg等元素比值。黄土堆积与演化的微观结构指标在一定程度上反映了古气候条件和时间尺度。重要的发现是不同沉积时代的微观降砂速度(Vn)和沉积深度(hn)的计算方法。这些指标与古里雅冰芯主要风成气候记录进行了比较,为研究气候变化提供了可靠的基准,也可作为季风变化和环境演变重建的重要指标。从黄土微观结构中得到的泥沙沉降速度指标(Vn)可以反映出落沙速度和黄土沉积过程。据此,可以作为不同形态黄土层气候变化的新指标。从黄土微观结构得到的气候指标可以反映黄土形成的气候条件。黄土形成气候参数同步对应腾格里沙漠和古里雅冰芯研究气候变化,微观参数也可用于黄土气候形成的初步分析,并已找到相应的证据,黄土气候参数对应其他两个指标。黄土微观结构指标的分析对研究气候变化具有重要意义。黄土微观结构指标可以为季风气候演变和古气候变化提供新的指标和信息。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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