Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China

valleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess. It is found that the average chemical composition of Sh...

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Main Authors: Min Ding, Shuzhen Peng, Longjiang Mao, Wei Zhang, Qiuyue Zhao
Format: Article
Language:English
Published: Atlantis Press 2017-09-01
Series:Journal of Risk Analysis and Crisis Response (JRACR)
Subjects:
Online Access:https://www.atlantis-press.com/article/25886385.pdf
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spelling doaj-104fac12a27b4c6696c7e5df0460fe232020-11-25T00:20:23ZengAtlantis PressJournal of Risk Analysis and Crisis Response (JRACR)2210-85052017-09-017310.2991/jrarc.2017.7.3.3Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern ChinaMin DingShuzhen PengLongjiang MaoWei ZhangQiuyue Zhaovalleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess. It is found that the average chemical composition of Shandong LS profile is similar to that of typical loess at YHC profile. The CIA, Na2O/K2O and Al2O3-CaO+Na2O-K2O triangles show that the LS loess is in moderate weathering stage and the chemical weathering degree is higher than that of the YHC profile in the Loess Plateau, but it is still in the Na, Ca removal of stage. Element activity sequence at the LS profile is Ca> Na> Mg> Si> Al> K> Fe, and Element activity capacity at LS profile is higher than that of at YHC profile. The ratio of TiO_2/Al_2O_3 and K_2O/Al_2O_3 of the material source index clearly distinguishes LS loess and YHC loess, and it is concluded that the LS loess has different source from the loess plateau loess. It is not the result of dust storm direct from the northwest of China; otherwise, the Yellow River sediments and the North China Plain Material nearby may be its main sources when it was colder and drier during the glacial period. CIA and K_2O/Na_2O, and the migration rate of Fe, Al, K and Na is restored to the depositional environment of research. The winter monsoon in the late glaciation is strong and the chemical weathering is weak. In the early Holocene winter monsoon is weakened and the chemical weathering is enhanced. In the middle of Holocene, the summer monsoon dominated and the chemical weathering is strongest; in late Holocene, the climate deteriorated again, the chemical weathering is weakened.https://www.atlantis-press.com/article/25886385.pdfAsymptotic normalityconditional hazard quantile functionfunctional datakernel smoothingnonparametric estimator.
collection DOAJ
language English
format Article
sources DOAJ
author Min Ding
Shuzhen Peng
Longjiang Mao
Wei Zhang
Qiuyue Zhao
spellingShingle Min Ding
Shuzhen Peng
Longjiang Mao
Wei Zhang
Qiuyue Zhao
Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
Journal of Risk Analysis and Crisis Response (JRACR)
Asymptotic normality
conditional hazard quantile function
functional data
kernel smoothing
nonparametric estimator.
author_facet Min Ding
Shuzhen Peng
Longjiang Mao
Wei Zhang
Qiuyue Zhao
author_sort Min Ding
title Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
title_short Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
title_full Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
title_fullStr Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
title_full_unstemmed Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China
title_sort major element geochemistry of longshan loess profile in the central shandong mountainous regions, northern china
publisher Atlantis Press
series Journal of Risk Analysis and Crisis Response (JRACR)
issn 2210-8505
publishDate 2017-09-01
description valleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess. It is found that the average chemical composition of Shandong LS profile is similar to that of typical loess at YHC profile. The CIA, Na2O/K2O and Al2O3-CaO+Na2O-K2O triangles show that the LS loess is in moderate weathering stage and the chemical weathering degree is higher than that of the YHC profile in the Loess Plateau, but it is still in the Na, Ca removal of stage. Element activity sequence at the LS profile is Ca> Na> Mg> Si> Al> K> Fe, and Element activity capacity at LS profile is higher than that of at YHC profile. The ratio of TiO_2/Al_2O_3 and K_2O/Al_2O_3 of the material source index clearly distinguishes LS loess and YHC loess, and it is concluded that the LS loess has different source from the loess plateau loess. It is not the result of dust storm direct from the northwest of China; otherwise, the Yellow River sediments and the North China Plain Material nearby may be its main sources when it was colder and drier during the glacial period. CIA and K_2O/Na_2O, and the migration rate of Fe, Al, K and Na is restored to the depositional environment of research. The winter monsoon in the late glaciation is strong and the chemical weathering is weak. In the early Holocene winter monsoon is weakened and the chemical weathering is enhanced. In the middle of Holocene, the summer monsoon dominated and the chemical weathering is strongest; in late Holocene, the climate deteriorated again, the chemical weathering is weakened.
topic Asymptotic normality
conditional hazard quantile function
functional data
kernel smoothing
nonparametric estimator.
url https://www.atlantis-press.com/article/25886385.pdf
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