scholarly journals Application of AHP – Entropy–TOPSIS methodology for  soil heavy metal classification: Analysis of soil environment status in Jingshan as a case study

2021 ◽  
Author(s):  
Sugang Liu ◽  
Qingguo Ni ◽  
Xudong Li ◽  
Lei Huang
Keyword(s):  
Heavy Metal ◽  
Soil Pollution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Hubei Province ◽  
Entropy Method ◽  
Soil Environment ◽  
Analytic Hierarchy ◽  
Background Value ◽  
Subjective Weight

Abstract Given the complexity of the soil environment, the evaluation of soil pollution should consider the comprehensive weight of multiple evaluation factors to obtain highly objective and scientific conclusions. In this paper, two main ways are proposed to comprehensively analyze the degree of heavy metal pollution in the region: the combination of subjective weight (the analytic hierarchy process method) and objective weight (the entropy method) to determine the combination weight, and the use of the TOPSIS method to quantify the relative relationship between samples and the soil background values in the study area and analyze the spatial and geographical distribution of heavy metal elements in the samples.Analysis results show that the weight ranking of 31 out of 56 samples in the study area is higher than that based on the soil background value of Hubei Province, indicating that 55.36% of the samples had a comprehensive pollution degree lower than the soil background value of Hubei Province. According to the spatial distribution of heavy metal pollution, the soil pollution status in the study area is poor, and some parts are polluted by heavy metals to a certain extent.

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 Soil Heavy Metal Pollution Around Iron Tailing Areas at Different Using Status

2015 ◽  
Vol 9 (1) ◽  
pp. 113-120
Author(s):  
Fengmin Song ◽  
Xingchang Zhang ◽  
Yanmin Wang ◽  
Chen Li
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Total Concentration ◽  
Potential Ecological Risk ◽  
Residual Fraction ◽  
Large Spatial Scale ◽  
Background Value ◽  
Local Soil

Heavy metal pollution was a dynamic changing process for a long period and on large spatial scale. The heavy metal content in tailing soil varied with time changing. The distribution and cumulative characteristics of heavy metals in different time and surrounding soil caused by ore dressing and smelting activities were different. The aim of this study was to assess the geochemical characteristics and pollution status of heavy metals in soil around 2 iron tailing areas at different using status. Samples were collected around the 2 different iron tailing and sieved through nylon sieves. Metals were measured in digested solutions by a atomic emission spectrometer. The concentration of all heavy metals (Fe, Mn, V, Cu, Ni) in the soil around using M tailing area exceeded local soil background value; however, the content of all metals except Fe in soil around closed W tailing areas were lower than background value. BCR results showed that average exchangeable fraction of Mn in soil around W and M accounted for 11.87%, 11.78% of the total concentration, respectively; average exchangeable and reducible fractions of Ni accounted for 26.97% and 13.59%, respectively; average oxidizable fraction of Cu accounted for 18.6%, 31.63% in soil around W and M, respectively, which were higher than other metals; residual fraction of Fe, V accounted for more than 80% of the total concentration. The results indicate the soil was moderately contaminated by heavy metal around M and unpolluted around W. However, the risk assessment results performed that Mn showed moderate potential ecological risk and other metals showed low potential risk.

Investigation and Evaluation on Heavy Metal Pollution of Vegetable Farm Soils in Fuxin, China

2014 ◽  
Vol 955-959 ◽  
pp. 3661-3664
Author(s):  
Jian Gu ◽  
Zuo Xin Liu
Keyword(s):  
Heavy Metal ◽  
Soil Pollution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Soil Samples ◽  
Mercury Pollution ◽  
Vegetable Farm ◽  
Farm Soils

the paper discussed the pollution of heavy metal in vegetable farm soils in Fuxin city, China. The levels of lead, cadmium, chromium, arsenic and mercury in 5 soil samples obtained from vegetable farm soil were detected. The levels of lead, cadmium, chromium, arsenic and mercury were17.12-34.62mg/kg,0.12-0.24 mg/kg,32.28-50.96 mg/kg,6.86-8.83 mg/kg and 0.14-0.16 mg/kg, respectively. At same time, we have done some evaluation for vegetable farm soils pollution of Fuxin. The vegetable farm soils were contaminated by mercury in great universality, and the next is cadmium. As for contaminated degree, mercury-pollution is severe, and the second were cadmium, and the rest are slightly polluted. Compared the present pollution change, soil pollution in Fuxin is aggravate, which should grasp management, especially the serious mercury pollution that should pay attention to the monitoring mercury enterprises.

scholarly journals SPATIAL DISTRIBUTION, POLLUTION, AND HEALTH RISK ASSESSMENT OF HEAVY METAL IN INDUSTRIAL AREA SOILS OF ULAANBAATAR, MONGOLIA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 123-133
Author(s):  
P. Oyunbat ◽  
O. Batkhishig ◽  
B. Batsaikhan ◽  
F. Lehmkuhl ◽  
M. Knippertz ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Health Risk ◽  
Soil Pollution ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Industrial Area ◽  
Pollution Level

Abstract. The heavy metal pollution of urban soil of industrial area and its impact on human healths becoming one of the environmental problems in Ulaanbaatar city of Mongolia. The purpose of this study was to determine spatial distribution and health risk of heavy metal pollution in soils surrounding area of leather processing factory and wastewater treatment plants (WWTP) of Ulaanbaatar city. Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal (As, Zn, Pb, Cd, Cr, Cu) concentrations of topsoils. The average concentrations of Cr, Ni, Pb, Zn, Cu and As were 1986.9, 110.5, 111.0, 110.5, 53.5, 16.4 mg/kg, respectively. According to result as the soil pollution index with spatial distribution, a high pollution level for Cr while Zn, Cu and Pb have medium pollution levels. The soil pollution index (PI) values of heavy metals of study areas are, following descending orders Cr > Zn > Cu > Pb > As > Ni. The potential ecological risk of Cr, Cu, Pb, As indicated high ecological risk in the study area. The Hazard index values for almost all the metals were higher than 1, it is indicating a carcinogenic risk for children and adults. The risk index values of two metals (Cr, As) were contribute to a higher risk of development of cancer in humans. Heavy metal contamination can occur when soil particles are swept away from the initial pollution areas by the wind. Therefore, it is necessary to take measures to reduce soil pollution and encourage rehabilitation.

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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