Spatial Distribution and Source Identification of Loess Heavy Metal Pollution in Northern Baoji, China

2019 ◽  
pp. 79-92
Author(s):  
Ling Han ◽  
Zhiheng Liu ◽  
Yuming Ning ◽  
Zhongyang Zhao
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Source Identification

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

Heavy metal pollution, ecological risk, spatial distribution, and source identification in sediments of the Lijiang River, China

2021 ◽  
Vol 269 ◽  
pp. 116189
Author(s):  
He Xiao ◽  
Asfandyar Shahab ◽  
Beidou Xi ◽  
Qixin Chang ◽  
Shaohong You ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Source Identification ◽  
Lijiang River

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 Analysis of Heavy Metal Pollution in Cultivated Land of Different Quality Grades in Yangtze River Delta of China

2021 ◽  
Vol 18 (18) ◽  
pp. 9876
Author(s):  
Hua Wang ◽  
Wuyan Li ◽  
Congmou Zhu ◽  
Xiaobo Tang
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Concentration ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Yangtze River ◽  
Heavy Metal Concentration ◽  
Yangtze River Delta ◽  
Ecological Environment ◽  
Cultivated Land

The distribution of heavy metal pollution in cultivated land is closely related to the quality of the cultivated land. In this study, 533 soil samples were collected from cultivated land in the Yangtze River delta region in China for Cd, Pb, and Hg analyses. Spatial statistical analysis was used to study the heavy metal pollution in the cultivated land, and the driving forces of heavy metal distribution in different cultivated land quality subdivisions were analyzed with GeogDetector. The conclusions are as follows: (1) Among the three heavy metals in the study area, the coefficient of variation of Cd is the largest, and that of Pb is the smallest. The proportion of Cd and Hg exceeding the standard value (the standard of level two in GB 15618—2018) is relatively large, both of which are 5%; (2) From the perspective of the spatial distribution of soil heavy metal pollution, only four counties (CX, HN, WY, and LH) were free of heavy metal pollution. Soil heavy metal pollution in AJ, SY, QJ, and DS counties is relatively serious, and the pollution may come from agricultural activities, manufacturing, and prevalent coastal shipping industries in these counties; (3) The heavy metal pollution levels of cultivated land with different quality levels are different. The high-quality cultivated land has no high contamination, while the medium and the general cultivated land both have high contamination. High contamination is related to Cd for medium and general cultivated lands, and to Hg in only general cultivated land; (4) The main driving factors of heavy metal concentration in cultivated soil were GDP, followed by soil organic matter, and pH. These results indicate that the spatial distribution of heavy metal concentration in cultivated soil was affected by the level of economic development, followed by the ecological environment, indicating that human activities had a critical impact on the ecological environment of cultivated land.

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