scholarly journals Seasonal Levels, Sources, and Health Risks of Heavy Metals in Atmospheric PM2.5 from Four Functional Areas of Nanjing City, Eastern China

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 419 ◽  
Author(s):  
Lichun Wu ◽  
Xiao-San Luo ◽  
Hongbo Li ◽  
Long Cang ◽  
Jie Yang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Health Risks ◽  
Metal Pollution ◽  
Industrial Area ◽  
Pollution Level ◽  
Suburban Areas ◽  
Nanjing City ◽  
Functional Areas ◽  
Atmospheric Pm2.5

Aerosol pollution is a serious environmental issue, especially in China where there has been rapid urbanization. To identify the intra-annual and regional distributions of health risks and potential sources of heavy metals in atmospheric particles with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5), this work collected monthly PM2.5 samples from urban, industrial, suburban, and rural areas in Nanjing city during 2016 and analyzed the heavy metal compositions (Cu, Pb, Cd, Co, V, Sr, Mn, Ti, and Sb). Enrichment factors (EFs) and principal component analysis (PCA) were applied to investigate the sources. The atmospheric PM2.5 pollution level was highest in the industrial area, followed by the urban and suburban areas, and was the lowest in the rural area. Seasonally, the concentrations of PM2.5 and associated heavy metals in spring and winter were higher than those in summer and autumn. Besides natural sources, heavy metal pollution in PM2.5 might come from metallurgical dust in the industrial area, while it mainly comes from automobile exhaust in urban and suburban areas. Health risk assessments revealed that noncancerous hazards of heavy metals in PM2.5 were low, while the lifetime cancer risks obviously exceeded the threshold. The airborne metal pollution in various functional areas of the city impacted human health differently.

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 Assessment of the Ecological Risk from Heavy Metals in the Surface Sediment of River Surma, Bangladesh: Coupled Approach of Monte Carlo Simulation and Multi-Component Statistical Analysis

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 180
Author(s):  
Arup Acharjee ◽  
Zia Ahmed ◽  
Pankaj Kumar ◽  
Rafiul Alam ◽  
M. Safiur Rahman ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
River Sediment ◽  
Risk Index ◽  
Pollution Level

River sediment can be used to measure the pollution level in natural water, as it serves as one of the vital environmental indicators. This study aims to assess heavy metal pollution namely Copper (Cu), Iron (Fe), Manganese (Mn), Zinc (Zn), Nickel (Ni), Lead (Pb), and Cadmium (Cd) in Surma River. Further, it compares potential ecological risk index values using Hakanson Risk Index (RI) and Monte Carlo Simulation (MCS) approach to evaluate the environmental risks caused by these heavy metals. in the study area. With obtained results, enrichment of individual heavy metals in the study area was found in the order of Ni > Pb > Cd > Mn > Cu > Zn. Also, variance in MCS index contributed by studied metals was in the order of Cd > Pb > Ni > Zn > Cu. None of the heavy metals, except Ni, showed moderate contamination of the sediment. Risk index values from RI and MCS provide valuable insights in the contamination profile of the river, indicating the studied river is currently under low ecological risk for the studied heavy metals. This study can be utilized to assess the susceptibility of the river sediment to heavy metal pollution near an urban core, and to have a better understanding of the contamination profile of a river.

Evaluation on Characteristics of Heavy Metal Spatial Pollution in Farmland Soils along the Bijiang River

2013 ◽  
Vol 295-298 ◽  
pp. 1586-1593
Author(s):  
Xiao Qing Zhao ◽  
Hong Hui Yang ◽  
Jian Chen
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Variation ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Level ◽  
Zinc Deposit ◽  
Farmland Soils ◽  
Lead Zinc

Based on the farmland soils along the Bijiang River, a main tributary of the international Lantsang-Mekong River flowing through the Jinding Lead-Zinc Deposit, this dissertation makes analyses on the pollution characteristics of spatial variation in farmland soils by adopting the soil sampling and testing analysis and applying single-factor pollution index (SPI) evaluation and Nemerow composite pollution index (NCPI) evaluation. The results indicate that: (1) In accordance with Environmental Quality Standard for Soils (II), the content of Cd contained in the farmland soils has severely exceeded the standard in a large scale, followed by Pb and Zn. However, the content of As is maintained within the specified standard; (2)The SPI values of soils are in the following sequence: Cd＞Zn＞Pb＞As. The pollution level caused by the heavy metal “Cd” to the farmland soils is extremely heavy in a wide range, and a majority of the farmlands are heavily polluted by Zn. The farmlands with moderate pollution by Pb are centered at Plot 2 in the deposit, and only a few farmland soils are moderately polluted by As at Plot 2 in the deposit;(3) Based on the NCPI, the results indicate that the NCPI of the farmland soils has reached to the degree of heavy pollution; (4) It is indicated based on the RPI evaluation that the RPI values of As, Cd, Pb and Zn contained in the farmland soils have exceeded the standard in the following sequence: Pb＞Zn＞Cd＞As, which illustrates that during the development of Jinding Lead-Zinc Deposit in Lanping County, the heavy metals imposing the most profound influence on the soil pollution are Pb and Zn. The heavy metal pollution in the farmland soils from the upper reaches to the lower reaches of the Bijiang River is not only caused by the development of Jinding Lead-Zinc Deposit in Lanping County, but is also associated with its high soil background value;(5) There is a remarkable spatial variation of heavy metal pollution in farmland soils from the upper reaches to the lower reaches of the Bijiang River. Both the SPI and the NCPI values of heavy metals in the soils within the deposit at the upper reaches of the Bijiang River are the lowest; the pollution index of the soils closest to the deposit are the highest, and the pollution index of the soils with a certain distance from the deposit drops swiftly; the pollution index of Plot 4 rises to a certain degree at the middle reaches, and gradually ascends near the Yunlong County seat at Plot 5, however, with a comparatively small growth rates.

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.

scholarly journals Study of Pb Heavy Metal Pollution Level on Tannin Content of Seaweed (Kappaphycus alvarezii) in Bluto and Talango Sea Waters, Sumenep, East Java

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Catur Pujiono ◽  
Akhmad Taufiq Mukti ◽  
Woro Hastuti Satyantini
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Kappaphycus Alvarezii ◽  
Pollution Level ◽  
Tannin Content ◽  
Significant Difference ◽  
The Relationship

Euchema cottoni or Kappaphycus alvarezii is one type of seaweeds that is widely cultivated in Indonesia. Water pollution caused by the accumulation of Pb heavy metals will affect the seaweed to grow and develop. This study is aimed to determine the tannin levels in K. alvarezii and the relationship of Pb heavy metal pollution level with tannin levels in K. alvarezii in different waters. This study used an observational experiment, and samples were taken from two different locations with 4 stations in each. From each sample in both locations, K. alvarezii was taken and was then measured for the tannin levels, water quality, and heavy metals (Pb) in water and in K. alvarezii. The results were analyzed at the Laboratory of PT. Sucofindo and the Laboratory of Testing Service Unit, Airlangga University Surabaya. The data were analyzed using a statistical test in the form of a t-test to determine the differences in samples in both waters, and a C-square test was used to determine the relationship between PB and tannin levels in K. alvarezii. The results showed that the level of Pb heavy metal pollution in the two waters did not show a significant difference due to water quality which was quite similar in both locations. Moreover, the tannin content in K. alvarezii in Bluto waters (0.053±0.004%) was higher than that in Talango waters (0.020±0.009%). Meanwhile, a t-test showed a significant difference in seaweed tannins in both waters. The relationship between Pb heavy metal pollution and tannins of seaweed in Bluto and Talango waters was that they did not affect each other, and tannin concentration was more influenced by chemical oxygen demand (COD), salinity of both waters, and the cultivation methods used.

Analysis and Evaluation of Heavy Metal Pollution of Surface Soil in Baicheng City

2012 ◽  
Vol 260-261 ◽  
pp. 786-791
Author(s):  
Gang Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Evaluation Method ◽  
Surface Soil ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Industrial Area ◽  
Soil Improvement ◽  
Pollution Source ◽  
Functional Areas

In the thesis, the pollution condition of heavy metals in the soil is evaluated by fuzzy comprehensive evaluation method through testing and analyzing content of heavy metals (As Cd Cr Cu Hg Ni Pb Zn) in 400 sampling points within 400km2 near Baicheng City; and types and sources of pollutions of heavy metals in the soil in Baicheng City are analyzed and studied by factor analysis method. scientific proof for soil improvement and phytoremediation in this area can be provided. It is indicated through the integrated evaluation of the test result that the living quarter, the main road area and the green belt are polluted slightly; the industrial area is polluted moderately. It can be seen through comprehensive analysis that there are three main sources of heavy metal pollutions in the surface soil in Baicheng City: industrial pollution source, traffic pollution source and house pollution source. Therefore, effective measures shall be taken by the local people in the protection of the soil encountered with the various pollution status of the functional areas.

scholarly journals Health Risks and Source Analysis of Heavy Metal Pollution from Dust in Tianshui, China

Minerals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 502
Author(s):  
Bo Tan ◽  
Hongwei Wang ◽  
Xinmin Wang ◽  
Chen Ma ◽  
Jing Zhou ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Health Risks ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Urban Transportation ◽  
Carcinogenic Risk ◽  
Source Analysis ◽  
Risk Quotient ◽  
Pb Pollution

The purpose of this study is to explore the degree and spatial distribution of dust heavy metal pollution in Tianshui City, the health risks, and the sources of heavy metals. The geoaccumulation index and health risk assessment are used to study pollution levels and human health risks, and Cu, Zn, and Pb pollution are found to be serious. The total exposure of children to dust and heavy metals is 8.329 × 10−3 mg·kg−1·d−1, which is 4.66 times that of adults. The effect of carcinogenic heavy metal exposure is more significant for adults than for children. The total non-carcinogenic risk quotient to children via multiple pathways is 2.1690, which is higher than that of adults. Children’s Pb non-carcinogenic risk quotient is 4.79 times that of adults, and children are more sensitive than adults to the health risks of Pb pollution. The GeoDetector and Unmix 6.0 models are used for source analysis, revealing that Zn, Pb, and As pollution originate primarily from urban transportation systems, V is sourced from soil-forming parent materials, and Mn, Ni, Cu, and Co arise from mixed sources. Therefore, the treatment of heavy metal pollution in cities needs to focus more on the urban transportation system.

scholarly journals Impact of Industrial Wastewater Irrigation on Heavy Metal Deposition in Farm Soils of Bhaluka Area, Bangladesh

2020 ◽  
pp. 19-31 ◽  
Author(s):  
Faisal Islam ◽  
H. M. Zakir ◽  
A. Rahman ◽  
Shaila Sharmin
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Soil Quality ◽  
Contaminated Soils ◽  
Industrial Wastewater ◽  
Industrial Area ◽  
Pollution Level ◽  
Study Results ◽  
Wastewater Samples ◽  
Farm Soils

The study was conducted to determine heavy metal contents in industrial wastewater and contaminated soils of Bhaluka, Mymensingh and to assess their pollution level. A total of 9 industrial wastewater and 12 contaminated farm soil samples were collected directly from the farmers’ fields of Bhaluka area and analysed for this study. Considering EC, salinity and TDS, 56 to 89% wastewater samples were found problematic for long term irrigation. The concentration of CO3, HCO3 and Cl in wastewater ranged from 0.20-1.60, 2.0-11.2 and 1.30-4.79 me L-1, respectively and the content of Ca, Mg, Na and K in wastewater ranged from 16.03-52.10, 4.86-21.87, 101.98-678.90 and 5.59-48.63 mg L-1, respectively. The study results revealed that all wastewater samples were found unsuitable for irrigation in respect of CO3, HCO3 and K. Among the heavy metals studied, Pb, Cd and Fe concentrations in all wastewater samples and Mn content in 5 samples were found above than the acceptable limit for irrigation. The concentration of Zn, Cr, Cu, Pb, Ni, Cd, Mn and Fe in wastewater irrigated soils of Bhaluka industrial area ranged from 50.48 to 448.56, 47.22 to 83.65, 19.13 to 328.23, 42.37 to 77.96, 22.93 to 43.86, 0.70 to 1.40, 161.5 to 341.7 and 38105 to 65399 μg g-1, respectively. Considering geoaccumulation index, the Igeo values for Pb and Cd for all locations of the study area exhibited positive values (0.495< Igeo <1.624), that means Igeo class: 1-2, indicate moderately polluted soil quality. On the other hand, as regards to enrichment factor (EFc), 9 locations for Pb, 5 for Cd, 1 for Zn and 1 for Cu had EFc values > 5.0, indicate contaminated soil quality. The study concluded that industrial wastewater used for irrigation was directly linked with the heavy metals deposition in the farm soils.

scholarly journals Evaluation of Heavy Metal Pollution in Shallow Groundwater of Farmland in Huaibei Plain, China

2021 ◽  
Vol 267 ◽  
pp. 02009
Author(s):  
Yong Zhang ◽  
Xuanxia Wang
Keyword(s):  
Heavy Metal ◽  
Health Risk ◽  
Health Risks ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Shallow Groundwater ◽  
Pollution Index ◽  
Pollution Level ◽  
Index Method ◽  
Comprehensive Index

In order to understand the characteristics of heavy metal pollution in shallow groundwater in farmland in Huaibei Plain, 69 samples were collected from typical farmland areas in Xiaoxian County to determine the content of heavy metal elements such as Cr, Zn, Cu, Cd, and Ni. The single-factor pollution index method and Nemerow comprehensive index method are used to evaluate and analyze the pollution degree and the health risk assessment method is used to explore the health risk level. The results show that the concentrations of Cr, Zn, Cu, Cd and Ni were respectively 1.27μg∙L-1~268.78μg∙L-1, 0.45μg∙L-1~ 266.1μg∙L-1, 1.77μg∙L-1~ 29.8μg∙L-1, 0.10μg∙L-1~ 21.54μg∙L-1 and 0.9μg∙L-1~ 252.85μg∙L-1. The Nemerow comprehensive index of each heavy metal element is 0.031~5.507, and the pollution degree is Ni>Cr>Cd>Zn>Cu. The Nemerow comprehensive pollution index of each sampling point is 0.251~9.325, with an average value of 1.934. The overall value is 9.523, and the pollution level is extremely poor. The overall health risk is at a risk-free health level. There are 19 samples which the carcinogenic risk index of the Cr is greater than 10-4, and the number of samples with health risks accounts for 27.5%. Cr is the main source of heavy metal health risks in shallow groundwater in farmland.

Evaluation of Heavy Metal Contamination to Planting Base Soil in Shenyang, China

2013 ◽  
Vol 779-780 ◽  
pp. 1494-1499
Author(s):  
Bin Hui Jiang ◽  
Li Jiang ◽  
Li Li Fu ◽  
Chang Qi Yao ◽  
Yong Gang Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Pollution Assessment ◽  
Parent Material ◽  
Pollution Level ◽  
Concentration Data

The distribution and accumulation of heavy metals in the planting base soils in Shenyang, northeast of China, were investigated. Sixty soil samples were collected and characterized for heavy metals contents (AsCdCrPbHgNiCu and Zn). Concentration data were processed using correlation analysis and soils pollution assessment was carried out using geoaccumulation and PI. The results revealed that eight heavy metals contents of planting base all reached pollution level, which Pb and Hg pollution relatively serious, reached 2.41 and 2.1 respectively. The order of heavy metal pollution levels are: Pb> Hg> Zn = Cu> As> Ni> Cd> Cr. A significant correlation exists in Pb-Cd, Pb-Cu, Cd-As, Cu-Ni, while an extremely significant correlation exists between Zn-Cu. In addition to the parent material soil, the sources of soil heavy metals are mainly by the industrial, agricultural, transportation or other human activities and the effect of atmospheric transport and deposition. KEYWORDS: soil, heavy metal pollution, assessment, pollution index

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