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 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.

Numerical Modeling of Heavy Metal Pollution in the Rivers

2020 ◽  
Author(s):  
maryam khalilzadeh poshtegal ◽  
Mojtaba Noury ◽  
seyed ahmad mirbagheri
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Basic Principles ◽  
Transport And Transformation ◽  
Metal Pollutants ◽  
Heavy Metals Pollution ◽  
Fluid Transfer ◽  
Heavy Metal Pollutants

<p><strong>Abstract: </strong>Based on the deep studies of existing mathematical models, a mathematical model that expresses the dynamic of transport and transformation of heavy metals in the rivers has been presented. In this model, the basic principles of chemistry in the environment, hydraulic and fluid transfer dynamics have been used as well as recent studies of researchers. The effects of sediment on the transfer and evolution of heavy metals pollution can be investigated by the proposed models. For example, the evolution and transport of heavy metal pollutants in a steady state flow containing sediment are studied using the present model. The results of theoretical analysis and calculations show that transport and transformation of heavy metal pollution in sediment laden flows, not only have common characteristics of general pollutant but also have features of transport and transformation induced by the movement of sediments.</p><p><strong>Keywords:</strong> Numerical Simulation; Heavy Metal; Pollution; Sediment; Finite Difference Method.</p>

Analysis on Heavy Metal Pollution State in Urban Surface Soil

2012 ◽  
Vol 518-523 ◽  
pp. 1863-1866
Author(s):  
Yi Ting Zhang ◽  
Xu Jing Zhang ◽  
Gui Ting Zhang
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Data Gathering ◽  
The State ◽  
Urban Surface ◽  
Analysis Process ◽  
Pollution Problem ◽  
Functional Areas

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.

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 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 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.

scholarly journals Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Risk Index ◽  
Urban River ◽  
Ecological Risks ◽  
Background Values ◽  
Potential Factors

Abstract Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0–120 cm in depth in the upstream, 0–60 cm in the midstream, and 0–20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.

scholarly journals Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1801
Author(s):  
Valentina Andreea Calmuc ◽  
Madalina Calmuc ◽  
Maxim Arseni ◽  
Catalina Maria Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Danube River ◽  
Pollution Indices

It is a well–known fact that heavy metal pollution in sediments causes serious problems not only in the Danube basin, but also in the large and small adjacent river streams. A suitable method for assessing the level of heavy metals and their toxicity in sediments is the calculation of pollution indices. The present research aims to assess heavy metal pollution in the Lower Danube surface sediments collected along the Danube course (between 180 and 60 km) up to the point where the Danube River flows into the Danube Delta Biosphere Reserve (a United Nations Educational, Scientific and Cultural Organization – UNESCO, protected area). In addition, this monitored area is one of the largest European hydrographic basins. Five heavy metals (Cd, Ni, Zn, Pb, Cu) were analyzed in two different seasons, i.e., the autumn of 2018 and the spring of 2019, using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Our assessment of heavy metal pollution revealed two correlated aspects: 1. a determination of the potential risks of heavy metals in sediments by calculating the Potential Ecological Risk Index (RI), and 2. an evaluation of the influence of anthropogenic activities on the level of heavy metal contamination in the surface sediments, using three specific pollution indices, namely, the Geo–Accumulation Index (Igeo), the Contamination Factor (CF), and the Pollution Load Index (PLI). The results of this pioneering research activity in the region highlighted the presence of moderate metal (Ni and Cd) pollution and a low potential ecological risk for the aquatic environment.

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