scholarly journals Identification Sources and High-Risk Areas of Sediment Heavy Metals in the Yellow River by Geographical Detector Method

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1103
Author(s):  
Jianxiu Hao ◽  
Jun Ren ◽  
Hongbing Fang ◽  
Ling Tao
Keyword(s):  
Heavy Metals ◽  
Influencing Factors ◽  
Inner Mongolia ◽  
Yellow River ◽  
Anthropogenic Factors ◽  
The Yellow River ◽  
Main Stream ◽  
Risk Area ◽  
Geographical Detector ◽  
Risk Areas

In order to determine the key influencing factors, risk areas, and source pathways of heavy metals in the sediment of the Yellow River, 37 samples were collected in the surface sediment (0–5 cm) of the Inner Mongolia section of the Yellow River main stream for the determination of heavy metals copper (Cu), nickel (Ni), zinc (Zn), chromium (Cr), lead (Pb), and cadmium (Cd). Based on the geographical detector model (GDM) and ArcGIS 10.2 software, this paper selected 6 heavy metals and 15 influencing factors, including 8 natural factors and 7 anthropogenic factors, to detect key influencing factors, risk areas, and sources of heavy metals. The results showed that: (1) The average contents of heavy metals Cr and Cd in the sediments exceeded the average value in soil, the world average concentration in the shales, and the first-level standard of soil environmental quality in China, and they were the main risk metals; (2) Vegetation coverage (VC) was the largest influencing factor for the spatial distribution of heavy metals in the sediment, followed by per capita income (PI), and land use type (LUT) and road network density (RD) were smaller influencing factors. The interactions of the factors were enhanced; (3) The Wuhai section for a risk area was mainly polluted by Cd and Pb, which were caused by atmospheric deposition and industrial emission. The Baotou section for a risk area was mainly polluted by Cr, which mainly originated from river transportation and industrial discharge. The conclusions can provide a scientific basis for the environmental protection and management of the different areas in the Inner Mongolia section of the Yellow River.

Study on Distribution and Source Apportionment of Heavy Metals in Atmospheric Particulate Matter in Gansu, Ningxia and Inner Mongolia Sections of the Yellow River of China

2014 ◽  
Vol 675-677 ◽  
pp. 363-366
Author(s):  
Xiao Ling Ma ◽  
Xiao Qian Ren ◽  
Jing Jun Liu ◽  
Ying Liu
Keyword(s):  
Heavy Metals ◽  
Particulate Matter ◽  
Source Apportionment ◽  
Inner Mongolia ◽  
Yellow River ◽  
Enrichment Factors ◽  
Gansu Province ◽  
Atmospheric Particulate Matter ◽  
The Yellow River ◽  
Atmospheric Particulate

The distribution and source apportionment of 12 heavy metals including Hg, As, Cd, Pb, Cr, Ni, Cu, V, Co, Zn, Mn and Ba in atmospheric particulate matter (APM) at 5 samplings sites from Gansu, Ningxia and Inner Mongolia sections of the Yellow River of China in 2012 year were studied in this paper. The results indicated that Zn had a maximum mean concentration at T5 (Gansu Province), followed by As. The order of average concentrations of all heavy metals was as follows: Zn>Mn>As>Cu>Pb>Cr>V>Ni>Cd>Hg>Co, Ba. According to enrichment factors (EF), only Mn was seriously enriched at all sampling sites, especially at T4, which indicated that anthropic source is dominant and the others were not enriched. The results of cluster analysis (CA) showed that 12 heavy metals from 5 sampling sites were clustered into four different groups at the linkage distance of 10 and they came from a variety of sources such as fuel, fertilizers, agrochemicals and mining.

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.

Impact of water-sediment regulation on the transport of heavy metals from the Yellow River to the sea in 2015

2019 ◽  
Vol 658 ◽  
pp. 268-279 ◽  
Author(s):  
Ming Liu ◽  
Dejiang Fan ◽  
Naishuang Bi ◽  
Xueshi Sun ◽  
Yuan Tian
Keyword(s):  
Heavy Metals ◽  
Yellow River ◽  
The Yellow River

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.

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