Bio-Use Form Spatial Distribution and Driven Factors of Heavy Metal Cadmium in the Surface Soil of Xiang'an Area, Xiamen, China

2008 ◽  
Author(s):  
Haiyuan Qiu ◽  
Xian Wang
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Surface Soil

scholarly journals Spatial distribution and source identification of heavy metal pollution in roadside surface soil: a study of Dhaka Aricha highway, Bangladesh

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Fahad Ahmed ◽  
A. N. M. Fakhruddin ◽  
M. D. Toufick Imam ◽  
Nasima Khan ◽  
Tanzir Ahmed Khan ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Source Identification ◽  
Surface Soil

scholarly journals Analysis of Heavy Metal Pollution in Urban Surface Soil

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Quanling Guo ◽  
Cong Chen ◽  
Jianbin Du
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Data Analysis ◽  
Soil Pollution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Three Dimensional ◽  
Distribution Map ◽  
Heavy Metal Elements

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.

scholarly journals Contamination, Spatial Distribution and Source Analysis of Heavy Metals in Surface Soil of Anhui Chaohu Economic Development Zone, China

2020 ◽  
Vol 12 (19) ◽  
pp. 8117
Author(s):  
Chang Pan ◽  
Fei Yu ◽  
Xiao Tao ◽  
Jiahuan Guo ◽  
Yuanchun Yu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Economic Development ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Anthropogenic Activities ◽  
Development Zone ◽  
Economic Development Zone

Anthropogenic activities may result in the accumulation of heavy metals in the soil, especially in economic development zones with frequent industrial activities. Therefore, the investigation and assessment of soil heavy metal pollution in economic development zones is one of the important measures for soil environmental management and sustainable development. This study used Nemero evaluation, Kriging interpolation, cluster analysis, and principal component analysis to investigate the contamination degree, spatial distribution, and origin of heavy metal in Anhui Chaohu Economic Development Zone (ACED), Anhui, East China. The result showed that different land use types can cause different levels and types of soil heavy metal pollution. The maximum concentrations of heavy metals in the study area all exceeded their background value but did not exceed the guide values. The highest average concentrations were found in Zn, followed by Cr and Ni. The concentrations of As in soils have the largest coefficient of variation (CV) at 38%. The concentration of heavy metals in different functional areas was varied, the areas with higher Ni, As, Cd, Zn, and Cr concentrations were mainly distributed in Hot Springs Resort (HSR), the relatively higher concentrations of Pb, Hg, and Cu were mainly distributed in Integrated Zone (IZ), while all heavy metal (except for Ni) have relatively higher content in the surface soil of Huashan Industrial Zone (HIZ). Origin analysis showed that soil As, Cd, and Zn in HSR surface soil were predominantly influenced by agricultural activities, while Ni and Cr were mainly controlled by parent material. Pb and Hg in IZ surface soil were predominantly originated from the vehicle and domestic exhaust, and Cu was mainly controlled by industrial pollutants. Industrial activity was the main source of soil heavy metals in HIZ. Although heavy metal in ACED surface soil did not reach pollution levels, the concentration of Cd, Hg, Pb, and Cu was significantly affected by anthropogenic activities, especially in HIZ, which the necessary attention of heavy metals needs to be given.

scholarly journals Analysis of Soil Pollution Degree and Causes Based on Mathematical Model

2018 ◽  
Vol 9 (2) ◽  
pp. 16
Author(s):  
Yunhui Zeng ◽  
Yuanbiao Zhang ◽  
Shusheng Huang ◽  
Hongfei Guo ◽  
Yilin Chen ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Distribution Map ◽  
Index Method ◽  
The City ◽  
Spatial Distribution Map

Taking the heavy metal pollution in the urban surface soil as the object, this paper analyzes the degree of heavy metal pollution in different areas in the city and the main causes of pollution. Firstly, this paper uses Kriging interpolation method to increase the sample data together with Surfer software to draw the spatial distribution map of eight heavy metals, and then compares the single factor index method and the geological accumulation index-Nemero index method to make a comprehensive evaluation of the heavy metal pollution degree in different areas of the city. It is concluded that the pollution level in the area from slight to heavy is: mountain areas, park green areas, living areas, traffic areas, industrial areas. Then, the main comprehensive index of heavy metals is extracted by the principal component analysis, and the spatial distribution map of the main factors is drawn based on it. According to the spatial distribution map, the main cause of heavy metal pollution is the emission of automobile exhaust and industrial waste, which provides a reliable theoretical basis for the prevention and treatment of heavy metal pollution in the urban surface soil.

Heavy Metal Environmental Assessment of Surface Soil in Rizhao Tea-Planting Areas

2013 ◽  
Vol 807-809 ◽  
pp. 1397-1401
Author(s):  
Shi Xu Wang ◽  
Zu Lu Zhang ◽  
Xue Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
Surface Soil ◽  
Pollution Index ◽  
Kriging Interpolation ◽  
Metal Elements ◽  
Research Areas ◽  
Synthetic Index ◽  
Heavy Metal Elements

Analysis about contents and distributions of heavy metal elements in soil is one of the primary matters in surveying geochemical environmental quality in Rizhao tea-planting areas. By using 1km×1km sampling data of surface soil in Rizhao tea-planting areas, Geostatistics method is adopted to analyze spatial distribution of heavy metal elements, and nemerow synthetic index method is adopted to assess environmental qualities of heavy metals and show the result out by Kriging interpolation. The assessment results are as follows: the distribution of all the heavy metals besides Cd, Pb is comparatively uniformity; From the result of the single pollution index, the gross part of research areas is clean, only Cd, Ni pollution existed in finitude areas; From the spatial distribution of nemerow synthetic pollution index, 88.41% of the research areas soil belongs to level I, and 6.44% belongs to level II, and 5.14% level III, while no area belongs to level IV and level V.

Spatial Distribution of Heavy Metal Ions in Glass Forming Melts: Spectroscopic and Physical-Chemical Study

2008 ◽  
Vol 39-40 ◽  
pp. 41-44 ◽  
Author(s):  
A. Anan’ev ◽  
L. Maksimov
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Ions ◽  
Distribution Coefficient ◽  
Heavy Metal Ions ◽  
Brillouin Scattering ◽  
Chemical Study ◽  
Sodium Borate ◽  
Glass Host ◽  
Glass Forming

Spatial distribution of heavy metal ions (HMI) in inorganic glass forming melts was studied by measuring HMI distribution coefficient between two unmixable melts: sodium-borate glass forming melt and non-glass forming molten sodium sulfate. Combining the data on glass host composition dependence of HMI distribution coefficient with the data of Rayleigh and Mandel’shtam-Brillouin scattering (RMBS) spectroscopy of glasses doped with HMI and undoped ones made it possible to evidence the segregation of HMI into alkali-enriched inhomogeneities of glass hosts and offer the approach to choosing compositions of glass host in which HMI segregation will be minimized.

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