Study on the Concentrations and Fractionation of Rare Earth Elements in Filtered Water, Suspended Particles and Surface Sediments of the Upper Reaches of the Yellow River of China

2013 ◽  
Vol 448-453 ◽  
pp. 313-316
Author(s):  
Jing Jun Liu ◽  
Hao Yue Xiao ◽  
Ying Liu
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Inner Mongolia ◽  
Surface Sediments ◽  
Yellow River ◽  
Anthropogenic Activities ◽  
Suspended Particles ◽  
The Yellow River ◽  
High Concentration ◽  
High Concentrations

The concentrations and fractionation of 14 rare earth elements (REEs) such as La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb and Lu in filtered water, suspended particles and surface sediments at 10 sampling sites from Gansu, Ningxia and Inner Mongolia sections of the Yellow River of China were studied by HR-ICP-MS. The results demonstrated that the total concentrations of REEs (REEs) in filtered water varied from 0.017 to 0.079 μg/L and had high concentration at S3 (0.079), S1 (0.070) and S4 (0.063) in Inner Mongolia section, while in suspended particles and surface sediments, the ranges were 148.9-246.8 mg/kg (mean 176.4) and 109.9-252.0 mg/kg (mean 179.9), respectively, and showed high concentration at S9 (246.8), S7 (252.0), S8 (229.8) in Baiyin (Gansu section) and S1 (209.5) in Baotou (Inner Mongolia section). The ratios of L/H, δEu and δCe in suspended particles and surface sediments implied light-REEs enrichment in the water compared with the background value of Chinese soil. And the chondrite-normalized REEs patterns of the suspended particles and surface sediments also showed light REEs enrichment at S1, S7, S8 and S9. The high concentrations of REEs in the Yellow River were probably due to the weathering of soil and anthropogenic activities near the river.

Species and distribution of rare earth elements in the Baotou section of the Yellow River in China

2009 ◽  
Vol 32 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Jiang He ◽  
Chang-Wei Lü ◽  
Hong-Xi Xue ◽  
Ying Liang ◽  
Saruli Bai ◽  
...  
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Yellow River ◽  
The Yellow River

Time-Space Distribution Characteristics of Nitrogen in Surface Sediment from the Inner Mongolia of the Yellow River

2015 ◽  
Vol 1092-1093 ◽  
pp. 996-1000
Author(s):  
Xiao Li Wang ◽  
Hui Juan Wang ◽  
Ying Ga Wu
Keyword(s):  
Surface Sediment ◽  
Inner Mongolia ◽  
Surface Sediments ◽  
Yellow River ◽  
Rank Order ◽  
Space Distribution ◽  
The Yellow River ◽  
Distribution Characteristics ◽  
Morphological Transformation ◽  
Time Space

Time-space distribution characteristics of nitrogen in surface sediment from the Inner Mongolia of the Yellow River were investigated using the sequential extraction method. Sedimentary nitrogen were fractionized into four forms: ion exchange nitrogen (IEF-N), nitrogen combined with carbonate (CF-N), nitrogen combined with iron-manganese oxide (IMOF-N), organic nitrogen and combined with sulfides (OSF-N). The rank order according to the mean concentration of N-fraction in surface sediments from the Inner Mongolia of the Yellow River was OSF-N > IMOF-N > IEF-N > CF-N and the N-fraction content in surface sediments of autumn was higher than that of spring. Moreover, the different degrees of positive correlation between different morphological transformation nitrogen forms and the sum of TN, TP, CEC and organic matter of 12 sediment samples.

scholarly journals Virtual Water Trade in the Yellow River Economic Belt: A Multi-Regional Input-Output Model

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 748
Author(s):  
Ming Li ◽  
Qingsong Tian ◽  
Yan Yu ◽  
Yueyan Xu ◽  
Chongguang Li
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Inner Mongolia ◽  
Yellow River ◽  
Cumulative Risk ◽  
Virtual Water ◽  
Hot Water ◽  
The Yellow River ◽  
Input Output ◽  
Virtual Water Trade

The sustainable and efficient use of water resources has gained wide social concern, and the key point is to investigate the virtual water trade of the water-scarcity region and optimize water resources allocation. In this paper, we apply a multi-regional input-output model to analyze patterns and the spillover risks of the interprovincial virtual water trade in the Yellow River Economic Belt, China. The results show that: (1) The agriculture and supply sector as well as electricity and hot water production own the largest total water use coefficient, being high-risk water use sectors in the Yellow River Economic Belt. These two sectors also play a major role in the inflow and outflow of virtual water; (2) The overall situation of the Yellow River Economic Belt is virtual water inflow, but the pattern of virtual water trade between eastern and western provinces is quite different. Shandong, Henan, Shaanxi, and Inner Mongolia belong to the virtual water net inflow area, while the virtual water net outflow regions are concentrated in Shanxi, Gansu, Xinjiang, Ningxia, and Qinghai; (3) Due to higher water resource stress, Shandong and Shanxi suffer a higher cumulative risk through virtual water trade. Also, Shandong, Henan, and Inner Mongolia have a higher spillover risk to other provinces in the Yellow River Economic Belt.

Geochemical characteristics of rare earth elements in the surface sediments from the Spratly Islands of China

2017 ◽  
Vol 114 (2) ◽  
pp. 1103-1109 ◽  
Author(s):  
Jingxi Li ◽  
Chengjun Sun ◽  
Li Zheng ◽  
Xiaofei Yin ◽  
Junhui Chen ◽  
...  
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Surface Sediments ◽  
Geochemical Characteristics ◽  
Spratly Islands

scholarly journals Simulation of the Transboundary Water Quality Transfer Effect in the Mainstream of the Yellow River

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 974 ◽  
Author(s):  
Xuan Zhang ◽  
Jungang Luo ◽  
Jin Zhao ◽  
Jiancang Xie ◽  
Li Yan ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Water Consumption ◽  
Inner Mongolia ◽  
Yellow River ◽  
Transfer Effect ◽  
Simulation System ◽  
The Yellow River ◽  
Transboundary Water ◽  
Technical Problems

In order to not only solve the technical problems of quantifying the degree and range of the effect that is caused by the water quality of upstream on that of downstream portions of a river, and of dividing the responsibility of transboundary water pollution, but also to tackle the difficulty in adapting to dynamic changes of the traditional water quality model in terms of practical application, pollutant discharge and water consumption were taken as the main influence factors to build the transboundary water quality transfer effect model. Supported by a comprehensive integration platform, the transboundary water quality transfer effect simulation system of the Yellow River mainstream was constructed. The simulation results show that the concentration decreases exponentially along the range. Gansu, Ningxia, and Inner Mongolia had a more significant effect of exceeding standard water consumption on pollution, while Ningxia, Inner Mongolia, Shaanxi, and Shanxi had a more distinct contribution to the over standard pollution discharge effect. The proposed model and simulation system can provide new methods and instruction for quantifying the degree and range of transboundary water pollution, as well as dividing the responsibility for water environment compensation.

Petrology, Mineralogy, and Chemistry of Size-Fractioned Fly Ash from the Jungar Power Plant, Inner Mongolia, China, with Emphasis on the Distribution of Rare Earth Elements

2014 ◽  
Vol 28 (2) ◽  
pp. 1502-1514 ◽  
Author(s):  
Shifeng Dai ◽  
Lei Zhao ◽  
James C. Hower ◽  
Michelle N. Johnston ◽  
Weijiao Song ◽  
...  
Keyword(s):  
Rare Earth ◽  
Fly Ash ◽  
Power Plant ◽  
Rare Earth Elements ◽  
Inner Mongolia
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