Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical Review

2016 ◽  
Vol 97 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Qiannan Duan ◽  
Jianchao Lee ◽  
Yansong Liu ◽  
Han Chen ◽  
Huanyu Hu
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Fahad Ahmed ◽  
A. N. M. Fakhruddin ◽  
M. D. Toufick Imam ◽  
Nasima Khan ◽  
Tanzir Ahmed Khan ◽  
...  

2013 ◽  
Vol 446-447 ◽  
pp. 1516-1522
Author(s):  
Yang Shu ◽  
Hu Shu

The degree of heavy-metal pollution of different district in city area is discussed by improved Nemerow model and further topographic maps are drawn .From the improved Nemerow model, the Nemerow integrated pollution index is determined . The main reason of pollution is found according to weight, then the corresponding heavy-metal pollution things portion in the overall district is computed by using the model . The element that corresponds the maximum weight is found .And it proves that the heavy-metal pollution element Hg is the main pollution reason .The pollution source is determined by heavy metal spreading features using transfer function theory. Thinking of the main pollution elements as the researched object ,the spreading features are analized using transfer function characteristics. And the spreading process is described using flow chart.


2012 ◽  
Vol 37 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Habib Mohammad Naser ◽  
Sarmin Sultana ◽  
Rebeca Gomes ◽  
Shamsun Noor

Levels of lead, cadmium, and nickel in roadside soils and vegetables along a  major highway in Gazipur, Bangladesh were investigated. Soil samples were  collected at distances of 0, 50, 100, and 1000 m (meter) from the road. The  concentrations of lead (Pb) and nickel (Ni) in soil and vegetables (bottle gourd  and pumpkin) decreased with distance from the road, indicating their relation to  traffic and automotive emissions. The concentration of cadmium (Cd) was found  to be independent of distance from road. There were significant differences in  the concentrations of lead, cadmium, and nickel for different plant species and  soils at various distances. The heavy metals contents both in the soils and  vegetables for every distance from the road was found in the order  nickel>lead>cadmium. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11170 Bangladesh J. Agril. Res. 37(1): 9-17, March 2012


2019 ◽  
Vol 23 (4) ◽  
pp. 05019004
Author(s):  
Reetu Sharma ◽  
Ankit Yadav ◽  
Shobhana Ramteke ◽  
Khageshwar Singh Patel ◽  
Lesia Lata ◽  
...  

2014 ◽  
Vol 955-959 ◽  
pp. 1107-1111
Author(s):  
Shu Hong Si

This paper is mainly based on a city in surface soil heavy metal pollution on the measured GPS data,Application of the Nemeroww method to study the city all functional areas of the 8 kinds of heavy metals pollution degree.


2012 ◽  
Vol 518-523 ◽  
pp. 1863-1866
Author(s):  
Yi Ting Zhang ◽  
Xu Jing Zhang ◽  
Gui Ting Zhang

With the accelerating process of urbanization, heavy metal pollution problem is getting worse. In order to find out the state of heavy metal pollution in urban surface soils, we divided the city into different functional areas, and conducted the surface soil sampling, heavy metals analysis, and urban heavy metal pollution of surface soil data gathering. On this basis, evaluate the state of heavy metal pollution using Nemerow index, and analyze the source of heavy metal pollution. Evaluation and analysis process is simple and reasonable, is conducive to engineering applications, and also for environmental management department of the scientific decisions.


2013 ◽  
Vol 329 ◽  
pp. 56-60
Author(s):  
Lian Qiu Wei

With the rapid development of city economy and increasing of city population , the impact of human activities on the environmental quality of the city is becoming more and more serious. The influence of human activity under the evolution model of city geological environment,has increasingly become the focus of attention. To make the analysis of these data through the concentration of heavy metals in the surface soil of the city, the location of sampling points and heavy metal concentrations of background value, establish a detection model of heavy metal pollution source about city surface soil.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Quanling Guo ◽  
Cong Chen ◽  
Jianbin Du

The impact of human activities on the quality of urban environment has become increasingly prominent and urban soil pollution problems on the health of local residents also gradually prominent. In addition, the study of heavy metal pollution in urban surface soil is an important part of the evolution model of urban geological environment so it is necessary to analyze the heavy metal pollution in urban soil. In this paper, the data of the given samples are processed and analyzed by MATLAB software and EXCEL spreadsheet. The three - dimensional image model and the planar model of metal element space are established by interpolation method. The spatial distribution of eight kinds of heavy metal elements in the city is presented in detail. For the urban environment, especially the macro-grasp of soil pollution, regulation provides a simple and accurate three-dimensional spatial distribution model of pollutants. Combined with data analysis of the urban area of different areas of heavy metal pollution to make a preliminary judgment. The data show that in the five types of cities, heavy soil pollution is the most serious in industrial areas. A method of imagination of the data analysis is boldly used and then combined with the distribution map, they found a source of pollution. For the spatial distribution of heavy metal elements, this paper uses EXCEL to calculate the data and MATLAB to map the data which showed a detailed and intuitive distribution map according to the distribution map can be analyzed in different areas of pollution; For the second question, this paper uses a method of design to deal with the data, part of the data for the results of the more effective show to determine the cause of pollution. For the third question, this article will be more serious pollution or a wider range of local screening, analysis, and then speculate the location of pollution sources. For other pollution information, this article is based on the modeling process encountered in the thought of the factors given.


2018 ◽  
Vol 13 (3) ◽  
pp. 360-373
Author(s):  
FATIMAH OYENIKE OJO ◽  
TUKURA BITRUS WOKHE ◽  
MADU PASCAL CHIMA

Seasonal concentrations of eight total and bioavailable heavy metals (Cr, Cu, Cd, Zn, Mn, Ni, Pb an Fe), along with some physico chemical properties of soil in vegetable farms around the rock quarry in Durumi, Abuja was assessed to know the level of heavy metal pollution of the soil. Control and actual soil samples were collected from depths of 0.0 -5.0cm and 5.0 - 10.0cm during dry and rainy seasons. Heavy metal concentrations varied inconsistently in samples and control. Dry season levels of Zn(5.20mg/kg), Mn(19.44mg/kg), Ni(1.69mg/kg) and Pb(4.56mg/kg) and rainy season levels of Zn (0.26mg/kg), Pb(22.53mg/kg) at soil depth of 0.0 - 5.0cm, and dry season levels of Zn(1.19mgkg) and Ni(1.62mg/kg) along with rainy season levels of Cr (0.44mg/kg), Cd (0.06mg/kg), Zn(0.09mg/kg) and Fe(6.74mg/kg) at soil depth of 5.0 -10.0cm were all higher in samples than controls. However, seasonal mean total heavy metals in the soil samples were lower than the Maximum Allowable Limits (mg/Kg) for World Health Organization (WHO) and Food and Agriculture Organization (FAO). During dry season, heavy metals that indicated anthropogenic content, had anthropogenic levels that ranged in the order: Cd(16.67%) < Cu(54.17%)


2021 ◽  
Vol 13 (19) ◽  
pp. 10843
Author(s):  
Gang Xiang ◽  
Xianliang Wu ◽  
Shengxing Long

Spinacia oleracea L., as the most widely cultivated green leafy vegetable in China, can threaten human health in cases of its excessive heavy metal content, especially in mining areas of karst landforms. Therefore, the present study mainly investigates whether biochar is useful for remediating heavy metal pollution in soil and S. oleracea and the degree of this improvement in karst areas. The effects of heavy metal exposure on the health of children and adults in S. oleracea and rhizosphere lime soil with six biochar levels are evaluated by a health risk assessment, namely, 4000 g of lime soil (C-0), 160 g of biochar + 3840 g of lime soil (C-160), 240 g of biochar + 3760 g of lime soil (C-240), 320 g of biochar + 3680 g of lime soil (C-320), 400 g of biochar + 3600 g of lime soil (C-400) and 800 g of biochar + 3200 g of lime soil (C-800). The results show that the pH values of the lime soil were positively correlated with Pb, P and K contents and negatively correlated with As, Cr, Hg, Cd and N contents in S. oleracea. The assessments of the potential ecological risk index show that the soil samples for the C-0 and C-160 levels pose moderate ecological hazards, while the soil samples for the C-320, C-800, C-400 and C-240 levels constitute mild ecological hazards. The single noncarcinogenic risks, total noncarcinogenic risk indexes, single carcinogenic risks and total carcinogenic risks values indicate that exposure to heavy metals in lime soil and S. oleracea poses a serious threat to human health. It also presents an unacceptable cancer risk and children are more threatened than adults. Our results suggest that heavy metal pollution of S. oleracea and its rhizosphere lime soil in karst areas still poses a threat to human health after adding biochar, and the relevant local departments need to implement more active measures to solve the excessive heavy metal contents in the local soil and vegetables of this karst regions.


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