Mapping the risk of water erosion in the watershed of the Ningxia-Inner Mongolia reach of the Yellow River, China

2015 ◽  
Vol 12 (1) ◽  
pp. 70-84 ◽  
Author(s):  
He-qiang Du ◽  
Xian Xue ◽  
Tao Wang
Keyword(s):  
Inner Mongolia ◽  
Yellow River ◽  
Water Erosion ◽  
The Yellow River

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.

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.

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.

scholarly journals Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section

2021 ◽  
Vol 13 (21) ◽  
pp. 4477
Author(s):  
Wenlong Gao ◽  
Shengwei Zhang ◽  
Xinyu Rao ◽  
Xi Lin ◽  
Ruishen Li
Keyword(s):  
River Basin ◽  
Inner Mongolia ◽  
Yellow River ◽  
Temporal Distribution ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Spatial And Temporal Distribution ◽  
Ecological Quality ◽  
Diagnostic Values ◽  
The Yellow River Basin

The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China’s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 Landsat OLI/TM remote sensing images of the Yellow River Basin of Inner Mongolia from 2001 to 2020. Using the RSEI and the GEE Cloud Computing Jigsaw, we analyzed the spatial and temporal distribution of diagnostic values representative of the basin’s ecological status. Further, Mantel and Pearson correlations were used to analyze the significance of environmental factors in affecting the ecological quality of cities along the Yellow River within the study area. The results indicated that the overall mean of RSEI values rose at first and then fell. The RSEI grade to land area ratio was calculated to be highest in 2015 (excellent) and worst in 2001. From 2001 to 2020, ecological quality monitoring process of main cities in the Inner Mongolia region of the Yellow River Basin. Hohhot, Baotou, and Linhe all have an RSEI score greater than 0.5, considered average. However, Dongsheng had its best score (0.60, good) in 2005, which then declined and increased to an average rating in 2020. The RSEI value for Wuhai reached excellent in 2010 but then became poor in 2020, dropping to 0.28. The analysis of ecological quality in the city shows that the greenness index (NDVI) carried the most significant impact on the ecological environment, followed by the humidity index (Wet), the dryness index (NDBSI), the temperature index (Lst), land use, and then regional gross product (RGP). The significance of this study is to provide a real-time, accurate, and rapid understanding of trends in the spatial and temporal distribution of ecological and environmental quality along the Yellow River, thereby providing a theoretical basis and technical support for ecological and environmental protection and high-quality development of the Yellow River Basin.

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