scholarly journals Heavy Mineral Variability in the Yellow River Sediments as Determined by the Multiple-Window Strategy

Minerals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 85 ◽  
Author(s):  
Bingfu Jin ◽  
Mengyao Wang ◽  
Wei Yue ◽  
Lina Zhang ◽  
Yanjun Wang
Keyword(s):  
Particle Size ◽  
Grain Size ◽  
Yellow River ◽  
River Sediments ◽  
Size Fraction ◽  
Heavy Mineral ◽  
The Yellow River ◽  
Yellow River Sediment ◽  
Yellow River Sediments ◽  
End Members

In this study, heavy mineral analysis was carried out in different size fractions of the Yellow River sediment to extract its end-members. It shows that heavy mineral contents, species, and compositions vary in different grain sizes. Distribution curve of heavy mineral concentration (HMC) and particle size frequency curve are in normal distribution. In most samples, the size fraction of 4.5–5.0 Φ contains the maximum HMC (18% on average). Heavy mineral assemblages of the Yellow River are featured by amphibole + epidote + limonite + garnet. Amphibole content is high in coarse fraction of >3.0 Φ and reaches its peak value in 3.5–4.5 Φ. Epidote is rich in a size fraction of >3.5 Φ, and increase as the particle size becomes fine. Micas content is high in coarse subsamples of <3.0 Φ, but almost absent in fine grains of >4.0 Φ. Metallic minerals (magnetite, ilmenite, hematite, and limonite) increase as the sediment particle size become fine, and reach the peak in silt (>4.0 Φ). Other minerals such as zircon, rutile, tourmaline, garnet, and apatite account for about 15%, and mainly concentrate in fine sediment. Further analysis reveals that similarity value between the most abundant grain size group and wide window grain size group is high (0.978 on average). The grain size of 4.0–5.0 Φ ± 0.5 Φ is suitable to carry out detrital mineral analysis in the Yellow River sediments. Our study helps to eliminate cognitive bias due to narrow grain size strategy, and to provide heavy mineral end-members of the Yellow River sediment for provenance discrimination in the marginal seas of East China.

Competitive adsorption, release and speciation of heavy metals in the Yellow River sediments, China

2007 ◽  
Vol 53 (2) ◽  
pp. 239-251 ◽  
Author(s):  
Qingyun Fan ◽  
Jiang He ◽  
Hongxi Xue ◽  
Changwei LÜ ◽  
Ying Liang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Competitive Adsorption ◽  
Yellow River ◽  
River Sediments ◽  
The Yellow River ◽  
Yellow River Sediments

scholarly journals Optimal Thickness of Soil Cover for Reclaiming Subsided Land with Yellow River Sediments

2018 ◽  
Vol 10 (11) ◽  
pp. 3853 ◽  
Author(s):  
Zhenqi Hu ◽  
Linghua Duo ◽  
Fang Shao
Keyword(s):  
River Sediment ◽  
Soil Cover ◽  
Yellow River ◽  
River Sediments ◽  
Control Treatment ◽  
Optimal Thickness ◽  
Yellow River Sediment ◽  
Yellow River Sediments ◽  
Experimental Treatments ◽  
Different Thickness

The cultivated land area per capita in China is relatively small compared to the world average. However, most of the coal output is coming from underground mining, resulting in land subsidence and the destruction of existing cultivated land. The Yellow River is known as a ground-suspended river due to its large sediment concentration. Using unpolluted Yellow River sediment to reclaim the coal mine subsidence not only solves the problem of sediment deposition, but also solves the problem of shortage of filling material. Some experimental studies revealed low soil productivity as a result of thin soil cover. To ensure crop growth and production in land reconstructed with Yellow River sediments, determining the optimal thickness of soil cover over the sediment is extremely important. There were four experimental treatments and one control treatment. Each treatment was repeated three times. The control treatment was an original soil profile with 30 cm topsoil plus 110 cm subsoil. The four experimental treatments with different thickness of soil covers had the same thickness of topsoil (30 cm) and Yellow River sediments (60 cm), and different thickness of subsoil, which were 10, 30, 40, and 50 cm, respectively. Thus, the total thicknesses of soil cover (topsoil plus subsoil) were 40 cm, 60 cm, 70 cm, and 80 cm, respectively. The topsoil, subsoil, and Yellow River sediments were collected from Liangshan County. The soil type is fluvo-aquic. Maize (Zea mays L.) is the main crop in Liangshan County. A greenhouse experiment was conducted to investigate the growth of maize. The results showed that (1) the peroxidase (POD) activity, superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content of maize leaf decreased with an increasing thickness of soil, while soluble protein (SP) and leaf relative water content (RWC) increased. (2) The dry biomasses of the shoot and root system in T70 and T80 were not significantly different from those in the control (3) Increased soil thickness is conducive to the storage of more water and available nutrients. Considering the time and cost of reconstruction, 70 cm is the optimal thickness of soil cover on Yellow River sediment to ensure maize growth.

scholarly journals Heavy-mineral analysis and provenance of Yellow River sediments around the China Loess Plateau

2016 ◽  
Vol 127 ◽  
pp. 1-11 ◽  
Author(s):  
Baotian Pan ◽  
Hongli Pang ◽  
Hongshan Gao ◽  
Eduardo Garzanti ◽  
Yu Zou ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Yellow River ◽  
River Sediments ◽  
Heavy Mineral ◽  
Mineral Analysis ◽  
Yellow River Sediments ◽  
Heavy Mineral Analysis

Hydrothermal Solidification of the Yellow River Sediments

2010 ◽  
Author(s):  
Z. Jing ◽  
L. Zhou ◽  
X. Ran ◽  
E. H. Ishida ◽  
Fangming Jin ◽  
...  
Keyword(s):  
Yellow River ◽  
River Sediments ◽  
The Yellow River ◽  
Yellow River Sediments

Uranium isotopic constraints on the nature of the prehistoric flood at the Lajia site, China

Geology ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 15-18
Author(s):  
Le Li ◽  
Jun Chen ◽  
David William Hedding ◽  
Yuanhe Fu ◽  
Maolin Ye ◽  
...  
Keyword(s):  
Flood Control ◽  
Fine Particles ◽  
Yellow River ◽  
River Sediments ◽  
Landslide Dam ◽  
The Yellow River ◽  
Outburst Flood ◽  
Lajia Site ◽  
Yellow River Sediments ◽  
Ancient Documents

Abstract The catastrophic landslide-dam outburst flood, possibly caused by the same earthquake that destroyed the well-dated Lajia archaeological site, in the upper reaches of the Yellow River in China, may provide an accurate constraint on the age of the first Chinese dynasty (Xia Dynasty), which, according to Chinese ancient documents, has been associated with flood-control activities. The key link between the destructive earthquake and the megaflood is a flood-related blackish sand layer (BSL) covering the Lajia site on terraces high above the Yellow River channel. However, the BSL, which mainly consists of debris of local schist, may have originated from mudflows in local gullies rather than an outburst flood from the Yellow River that swept predominantly schist debris from channel slopes and/or a landslide dam. The composition of the fine particles in the BSL can help to discriminate the provenance of the BSL because an outburst flood would consist of suspended particles from the Yellow River, while a mudflow origin would incorporate fine particles from the local gullies. However, the similar geological origin between the Yellow River sediments and the Quaternary eolian loess and Tertiary reddish clay sediments that feed the local gullies precludes the application of traditional geochemical source tracers. This work shows that the 234U/238U activity ratio, which reflects the comminution age, of the fine particles in the BSL is very similar to that of the Yellow River sediments but not to the sediments in the local gullies, supporting an outburst flood origin of the BSL. Thus, the emergence of the Xia Dynasty can be constrained to be shortly after the sudden destruction of the Lajia site, if the outburst flood is the same event that initiated nationalization as described in the Chinese ancient documents.

scholarly journals Geochemistry and mineralogy of recent sediments of Guanabara Bay (NE sector) and its major rivers - Rio de Janeiro State - Brazil

2001 ◽  
Vol 73 (1) ◽  
pp. 121-133 ◽  
Author(s):  
MARCIA DE MELO FARIA ◽  
BRAZ A. SANCHEZ
Keyword(s):  
Heavy Metal ◽  
Grain Size ◽  
Clay Minerals ◽  
Bottom Sediments ◽  
River Sediments ◽  
Size Fraction ◽  
River Mouth ◽  
Guanabara Bay ◽  
Metal Contents ◽  
Recent Sediments

Geochemical and clay mineralogical studies of bottom sediments collected along the Macacu and Caceribu rivers and Guanabara Bay were carried out in order to investigate the relationship between major source areas and recent sediments of the bay. Clay mineralogy includes different groups with selective distribution conditioned by geomorphic features and depositional settings. Micaceous clay minerals are abundant near parent rock in the upper course, whereas kaolinite derived from varied sources is gradually concentrated towards the estuary. In the Guanabara Bay, kaolinite accumulates near river mouths, while micaceous clay minerals are converted into mixed layers in the estuary. Analyses of heavy metal contents reveal higher levels of Zn and Cu in sediments of the bay than in river sediments. Profiles along rivers indicate a downstream decrease of heavy metals, whereas in the bay geochemical trends display greater variations. In general river mouth sediments present the lowest concentrations. At the north and east of Paquetá Island anomalous areas with the highest heavy metal contents occur. Cu tends to concentrate in < 2mum grain-size fraction and indicates an association with micaceous clay minerals in the upper river course. However, Cu retention seems to be further controlled by other components of bottom sediments due to changes in physical and chemical conditions of the estuarine environment. Zn shows unstable behavior along the rivers and concentrates in the bay. Pb displays small variations from river to bay sediments, and accumulates mainly in the < 63mum grain-size fraction without any association with clay mineral. Geoaccumulation indexes of Cu, Pb and Zn classify the study area as unpolluted in both studied rivers and in the NE sector of the bay, though the enrichment factors are higher in the bay. The study does not indicate those rivers as major sources of heavy metal pollution to the bay.

Sign in / Sign up

Export Citation Format

Share Document