Chrome Extension
WeChat Mini Program
Use on ChatGLM

Impacts of Large-Scale Climate Oscillations on Fluvial Sediments in Central Poland: Evidence from Geochronological Analysis

GEOCHRONOMETRIA(2023)

Univ Lodz | Silesian Tech Univ | Polish Geol Inst | Univ Wroclaw

Cited 0|Views15
Abstract
The article presents the results of a collective analysis of 181 radiocarbon and 38 luminescence dating results from the time range 50–11.7 cal kBP for samples originating in fluvial sedimentary environment in Łódź region (central Poland), south of the last glacial maximum (LGM) line. Four sites were selected for a general of fluvial deposits and the obtained dating results Struga Żłobnicka, Parchliny, Warenka, and Swędów regions. Based on the summed probability density function (PDF) curves, the study demonstrates the response of the fluvial sedimentary environment to events of overregional scale. The collective analysis of the radiocarbon age determinations from the Łódź region allows for observing the correlation between local environmental changes and large-scale changes recorded in the NGRIP core. The warming periods Greenland interstadials (GI)-3, GI-4, and GI-5.1, the cooling event GI-1b within the warming GI-1, as well as the transition between GI-1a and Greenland stadials (GS)-1, were most prominently recorded in the PDF curves. The collective analysis of the luminescence age determinations reflects a change in the river valleys, expressed by a strong aggradation during the cold maximum of the studied period.
More
Translated text
Key words
fluvial sedimentary environment,radiocarbon dates,luminescence dates,probability density function,50-11.7 cal kBP,Lodz region
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文通过地质年代学分析,研究了大规模气候振荡对波兰中部河流沉积物的影响,揭示了地方环境变化与全球气候变化之间的关联。

方法】:研究采用了181个放射性碳测年数据和38个光释光测年数据,对波兰中部Łódź地区河流沉积环境样本进行分析。

实验】:在Struga Żłobnicka、Parchliny、Warenka和Swędów地区进行了样本采集,通过总和概率密度函数(PDF)曲线分析,发现河流沉积环境对区域外大规模事件的响应。研究结果显示,波兰中部地区的环境变化与格陵兰冰芯记录的大规模气候变化存在相关性,特别是在GI-3、GI-4和GI-5.1温暖期,以及GI-1内的冷却事件GI-1b和GI-1a到GS-1的过渡期间。光释光测年数据的集体分析反映了河流流域在研究时期冷极大期的强烈沉积。