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.

City Soil Pollution Degree of Heavy Metals

2014 ◽  
Vol 955-959 ◽  
pp. 1107-1111
Author(s):  
Shu Hong Si
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Gps Data ◽  
Data Application ◽  
Heavy Metals Pollution ◽  
Functional Areas ◽  
The City

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.

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 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

Detection Model of Heavy Metal Pollution Source of City Surface Soil

2013 ◽  
Vol 329 ◽  
pp. 56-60
Author(s):  
Lian Qiu Wei
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Rapid Development ◽  
Pollution Source ◽  
Detection Model ◽  
City Population ◽  
The Impact ◽  
The City

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.

The Wildlife Community of Iona Island Jetty, Vancouver, B.C., and Heavy-metal Pollution Effects

1977 ◽  
Vol 4 (3) ◽  
pp. 213-216 ◽  
Author(s):  
David A. Brown ◽  
Carole A. Bawden ◽  
Kenneth W. Chatel ◽  
Timothy R. Parsons
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Food Web ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Effects ◽  
Metal Loading ◽  
The City

Marine and terrestial animals have been shown to be particularly abundant in a wildlife community associated with a marine sewer outfall from the City of Vancouver. These same animals are contaminated with high levels of heavy-metals but are apparently protected from their poisonous effects by the production of a protein known as metallothionein. The amount of metallothionein and heavy-metal loading appears to depend primarily on the degree of pollution and secondly on the species of animal and its position in the food-web.

Research on the Soil Pollution and Control of Pb, Cd and Cr in Taiyuan Suburb

2011 ◽  
Vol 343-344 ◽  
pp. 707-711
Author(s):  
Guo Yi Yang ◽  
Ting Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Extraction Procedure ◽  
Rapid Population Growth ◽  
Ecological Influence ◽  
Different Depths ◽  
And Control ◽  
The City

The rapid population growth in Taiyuan, the ever-increasing industrial production and the never-ending expansion of the city have led to the serious heavy metal pollution of the soil, the deterioration of the soil fertility, the decrease of the grain output and the decline of grain quality and thus severely influencing the environmental quality and obstructing the sustainable economic development. The paper measures the content of such heavy metals as Pb、Cd、and Cr by Tessier's sequential extraction procedure in different depths of Taiyuan suburban soil, then determines the existing forms of these metals in the soil, discusses the factors influencing the forms of the heavy metals and their migration and transformation, probes into the ecological influence of the heavy metal pollution of soil, and finally the writer puts forward some measures to prevent from such pollution.

scholarly journals Spatial Distribution of Heavy Metals in Al-Zarqa, Jordan

2021 ◽  
Vol 21 (2) ◽  
pp. 478
Author(s):  
Reem Naser Dabaibeh
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Ecological Impact ◽  
Anthropogenic Sources ◽  
Distribution Analysis ◽  
Geographical Variations ◽  
Potential Sources

Al-Zarqa is experiencing challenges in industry conversion and extensive urbanization. The environmental quality of soil in the Al-Zarqa region was analyzed by Spatial analysis for the identification of sources and estimation of the concentration of heavy metals, which helped in the assessment of soil quality and heavy metal pollution. The reason for the elevation of heavy metal pollution is increased urbanization, industrialization, traffic, oil refinery emissions, and mixed anthropogenic sources in that region. The main objective of this research was to assess the ecological impact of heavy metals pollutants in the Al-Zarqa region. The concentrations of (Cd, Cr, Cu, Mn, Ni, Pb, Zn, and Fe) were estimated and compared with the existing literature. The distribution pattern of each metal was identified by spatial distribution analysis. Results revealed that metals concentration (Cd, Cr, and Ni) is higher, and the concentration of Pb, Zn, and Cu is less than the maximum allowed limits. Factor analysis identified the potential sources of heavy metals in the investigated area, and spatial distribution showed the geographical distribution of heavy metals over the study area. Consequently, it is better than showing only the individual point concentration without identifying their potential sources and their geographical variations.

scholarly journals Study on Heavy Metal Pollution Characteristics and its Health Risk Assessment from Sludge of Sewage Treatment Plants in Industrial Parks

2020 ◽  
Author(s):  
Xiuyan Han ◽  
Tianyi Cao ◽  
Tao Sun
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Sewage Treatment ◽  
Industrial Park ◽  
Index Method

Abstract Background In order to study the characteristics of heavy metal pollution from sludge in industrial parks and the effective methods of health risk assessment, in this paper, the pollution characteristics of eight heavy metals including Zn, Cu, Pb, Hg, Cr, Ni, As, Cd in sludge of sewage treatment plants in Nanjing MV Industrial Park were comprehensively evaluated and compared by using Nemerow Index Method, Muller Index Method and Matter element extension method. On this basis, the health risk assessment models of non-carcinogenic and carcinogenic heavy metals were constructed, and the health risks caused by four kinds of non-carcinogenic heavy metals Pb, Zn, Cu, Hg and four kinds of carcinogenic heavy metals Cr, As,Cd, Nicontained in sludge were evaluated by using the practical data of Nanjing Industrial Park. Results According to the evaluation results of heavy metal pollution characteristics in sludge of sewage treatment plants in Nanjing MV Industrial Park, the order of different pollution levels under different assessment methods is as follows: the level of the Nemerow Index Method assessment was low, the level of the Muller Index Method assessment was high, and the level of Grey Clustering Method assessment was relatively moderate. In the health risk assessment of heavy metals, the results showed that the order of effects of non-carcinogenic heavy metals on health risk ranged from large to small was: Hg, Cu, Pb, and Zn, and the health risk of non-carcinogenic heavy metal in children was much higher than that in adults. Similarly, the order of effects of carcinogenic heavy metal health risk ranged from large to small was Cd, Cr, Ni and As, and the health risk of carcinogenic heavy metal in children was slightly lower than that in adults. Conclusions It can be seen that there is a certain degree of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park, which affects the environmental quality in the park and the health risks of residents. This study verifies the assessment method of the heavy metal pollution characteristics and health risk is effective, and its research results have a guiding role in the management of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park. It also has significant theoretical support for the government to formulate the eco-environmental quality standards and related policies of industrial parks.

scholarly journals Meycauayan, an Industrial City in Bulacan, Philippines: Heavy Metal Pollution in Soil and Surface Sediments and Their Relationship to Environmental Indicators

2021 ◽  
Author(s):  
Reymar Diwa ◽  
Custer Deocaris ◽  
Aileen Orbecido ◽  
Arnel Beltran ◽  
Edgar Vallar ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pearson Correlation ◽  
Hierarchical Cluster ◽  
Environmental Indicators ◽  
Industrial Activities ◽  
Sampling Locations ◽  
The City

The City of Meycauayan is considered as one of the most polluted cities in the developing world on the account of industrial discharges of toxic materials to the environment. This work investigated the sources of the heavy metal pollution by analyzing soil and sediment samples for heavy metals (Cr, Hg, Ni, and Pb) together with selected environmental indicators (TN, TOM, and TP) located along the Meycauayan River. Hierarchical cluster analysis (HCA), principal components analysis (PCA), and Pearson correlation analysis (CA) were used to identify the sources of the metals. Results showed delineated locations of severe levels of heavy metal pollution downstream because of the concentration of industrial activities. Cr contributed more than any other heavy metals analyzed due to proliferation of tanneries discharging untreated wastewaters to the river. Significant inputs of Pb and Hg from Pb-acid battery recycling and gold smelting industries were also found. Risk assessments indicated severe levels of heavy metal pollution where industrial activities are concentrated. The mean Cr, Pb, Ni, and Hg in the sampling locations have mean incidences of toxicity of 91.7 %, 53.6 %, 27.7 %, and 70.0 %, respectively. Our study showed a serious need to address heavy metal pollution in Meycauayan.

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