Monitoring and assessing heavy metals in topsoils as potential diffuse pollutants in the Pyeongchang River Basin, Korea

2010 ◽  
Vol 61 (12) ◽  
pp. 3156-3161 ◽  
Author(s):  
M. I. Kabir ◽  
H. Lee ◽  
G. Kim ◽  
T. Jun
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Risk Index ◽  
Significant Risk ◽  
Pollution Load Index ◽  
Pollution Load ◽  
Ecological Risk Index

Topsoils, mainly from crop fields, orchards, forests, and barns around the Pyeongchang River, were collected to investigate their heavy metal concentrations. Pollution load index, ecological risk index, and enrichment factor were applied to assess levels of heavy metal contamination for topsoils. The concentrations of cadmium (Cd) (1.7 mg/kg) and chromium (Cr) (4.1 mg/kg) exceeded the troublesome level in one site, whereas zinc (Zn) (396.7 to 711.1 mg/kg) and nickel (Ni) (40.1 to 95.3 mg/kg) in several topsoils exceeded the troublesome to countermeasure levels, according to soil contamination standards for the study areas. A significant risk of contamination was observed for mercury (Hg) by all indices, although the concentration in most of the topsoils was below the guideline. As expected, a positive linear correlation was observed for the values of pollution load index and ecological risk index, demonstrating lower heavy metal contamination in upstream areas compared to those downstream. High to extremely high ecological risk was observed in several samples for Zn and Ni, while all of the soils were unpolluted to slightly polluted, according to the pollution load index. A baseline study was not performed earlier for these sites, so these assessed values of heavy metals should be used as reference values for further assessment.

Application of Principal Component Analysis for the Estimation of Source of Heavy Metal Contamination in Sugarcane Soil

2014 ◽  
Vol 651-653 ◽  
pp. 1402-1409
Author(s):  
Gui Ping Xu ◽  
Xiao Fei Wang ◽  
Li Jun Chen
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Principal Component Analysis ◽  
Ecological Risk ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Risk Index ◽  
Principal Component ◽  
Component Analysis ◽  
Potential Ecological Risk

Concentrations of heavy metals in sugarcane soil of Guangxi were determined and the potential ecological risk index was used simultaneously to evaluate the extent of heavy metals enrichment contamination. Results showed that the pollution extent of heavy metals in sugarcane soil by potential ecological risk followed the order: Cd>Pb>Cu>Zn, Cu and Zn were slightly polluted, with small potential ecological harm, while Pb and Cd were above moderately polluted, with heavy potential ecological harm. Principal component analysis was applied to estimate the sources of heavy metals contamination, the results indicated that the first two components accounted for 61.016% and 26.920% of the total variance respectively, 4 kinds of heavy metal elements had similar sources, tailing dam lead-zinc concentrator upstream along the coast was the main sources of heavy metal contamination.

scholarly journals Pollution Load Index (PLI) of field irrigated with wastewater of Mawaiya Drain in Naini suburbs of Allahabad District

2018 ◽  
Vol 13 (1) ◽  
pp. 159-164
Author(s):  
Arti Yadav ◽  
Pawan Kumar Yadav
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Contamination ◽  
Metal Accumulation ◽  
Heavy Metal Contamination ◽  
Contamination Factor ◽  
Pollution Load Index ◽  
Heavy Metal Accumulation ◽  
Pollution Load ◽  
Maximum Accumulation

Wastewater irrigation is practiced in outskirts of several cities of India. Enhanced growth and productivity of crops possess threat of heavy metal accumulation while irrigated with wastewater. Assessment of heavy metal accumulation in soil flooded with wastewater of Mawaiya drain in Naini region of Allahabad district, using parameter of contamination factor and pollution load index (PLI). Samples of soil were taken from the fields irrigated with wastewater and analyzed for heavy metals by using Atomic Absorption Spectroscopy (AAS). The maximum accumulation of heavy metal was observed for iron in soil. Heavy metal contamination is soil was assessed by estimation of contamination factor which was observed for Cu (0.7858), Fe (296.1864), Zn (0.4304), Pb (1.1661) and Ni (1.8912). Pollution load index (PLI) used for assessment of soil contamination and observed that maximum contamination (PLI, 74.31) was in water stressed conditions of summer. Heavy metals concentration in wastewater and accumulation in soil found within WHO limits in present study which may increase if unmanaged wastewater flooding continued.

Heavy Metal Contamination in the Floodplains Along Mula River, Pune District, Maharashtra State, India

2019 ◽  
Vol 3 (1) ◽  
pp. 12-21
Author(s):  
Ashwini Supekar ◽  
Ashok Issac ◽  
Ashwini Rane
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Contamination ◽  
Surface Sediments ◽  
Heavy Metal Contamination ◽  
Contamination Factor ◽  
Pollution Load Index ◽  
Pollution Load ◽  
Urban Sites

Pre-urban, urban and post-urban stretch of the Mula River in Pune District of Maharashtra (India) is examined for quantification of heavy metals (Cr, Co, Ni, Cu, Zn and Cd), calculation of the Pollution Load Index (PLI) and Contamination Factor (CF). They were estimated from the surface sediments (0-5 cm) at 10 sampling sites along the Mula river. High Cr anomaly (Max. 388.20 ppm) followed by Co (Max. 104.91 ppm), Ni (Max. 167.44 ppm), Cu (Max. 391.35 ppm), Zn (Max. 507.91 ppm) and Cd (Max. 2.38 ppm) is seen at various locations mostly encompassing the urban stretch. PLI is found to be high i.e., >1 in urban sites like Khadki, Kalyaninagar and Kharadi than the rural downstream sites. There is negligible mobility of the heavy metals and the urban floodplains are increasingly accumulating the heavy metals to a highly hazardous level.

scholarly journals CONTAMINATION OF HEAVY METALS IN SOIL OF MANDIDEEP INDUSTRIAL AREA, MADHYA PRADESH, INDIA

2020 ◽  
pp. 97-107
Author(s):  
Reeta Kori ◽  
Alok Saxena ◽  
Harish Wankhade ◽  
Asad Baig ◽  
Ankita Kulshreshtha ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Industrial Area ◽  
Pollution Load Index ◽  
Madhya Pradesh ◽  
Pollution Load ◽  
Contamination Index ◽  
Soil Quality Monitoring

A study has been conducted to assess the heavy metal contamination in soil of Dewas industrial area of Madhya Pradesh, India. Total twelve locations and one control location were selected in Dewas industrial area for soil quality monitoring w.r.t. heavy metals. The thirteen soil samples were monitored for heavy metals such as Chromium (Cr), Manganese (Mn), Nickel (Ni), Copper (Cu), Zinc (Zn), Iron (Fe), Cadmium (Cd), Lead (Pb) and Cobalt (Co) analysis during different four quarters from April 2018 to March 2019. The present study is an attempt to visualize the heavy metal contamination with w.r.t. Contamination Index (CI), Pollution Load Index (PLI) study in selected locations in Mandideep industrial area. Over all Pollution Load Index of soil was found greater than one which shows polluted soil w.r.t. heavy metals at all selected monitoring locations in Mandideep industrial area of Madhya Pradesh, India during this study. KEY WORDS: Industrial Area, Soil, Heavy Metals, Contamination Index (CI), Pollution Load Index (PLI)

A brief Survey of Assessment models to Predict stress Level of Heavy Metals in Soils

2020 ◽  
Vol 13 ◽  
Author(s):  
Sangeetha Annam ◽  
Anshu Singla
Keyword(s):  
Economic Growth ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Stress Level ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Human Life ◽  
High Stress ◽  
Heavy Metal Stress

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

Environmental Susceptibility: Soil Contamination of Heavy Metals in the Territory of E-Waste Recycling Area

2017 ◽  
Vol 3 (01) ◽  
pp. 25-31 ◽  
Author(s):  
Charu Gangwar ◽  
Aprajita Singh ◽  
Raina Pal ◽  
Atul Kumar ◽  
Saloni Sharma ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Negative Impact ◽  
Contamination Factor ◽  
Industrial Area ◽  
Waste Recycling ◽  
Pollution Load Index ◽  
Physiological Analysis

E-waste is a popular name given to those electronic products nearing the end of their useful life which has become a major source of heavy metal contamination in soil and hence, became the global concern. Various samples of soil were collected from different sites and were determined for heavy metal analysis by the ICP-AAS after the digestion process. The main source of contamination is illegal e-waste recycling activities such as burning of PCB's acid baths etc. Different soil indices like contamination factor, I-geo, pollution load index, were calculated to determine the quality of the soil. Results indicate that e-waste recycling and industrial area are strongly contaminated by the heavy metals. Physiological analysis of soil revealed that e-waste processing and industrial activities decrease the soil pH and organic matter while enhancing the electrical conductivity of soil. The exceedance of metal contamination imposed negative impact to the soil environment and human health.

scholarly journals Historical Evolution of Sources and Pollution Levels of Heavy Metals in the Sediment of the Shuanglong Reservoir, China

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1855 ◽  
Author(s):  
Zike Zhou ◽  
Yongping Wang ◽  
Haowei Teng ◽  
Hao Yang ◽  
Aiju Liu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Content ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Heavy Metal Content ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Pollution Levels

In this study, the concentrations of seven heavy metals (Cr, Ni, Cu, Zn, As, Hg, and Pb) and Pb isotope in a sediment core from the Shuanglong reservoir, Southwestern China, were investigated. Based on the constant rate of supply (CRS) model, the age span of a 60 cm sediment sample was determined to range from the years 1944 to 2015. Combined with chronology and heavy metal content, the evolution of the sources and pollution levels of heavy metals showed a changing trend composed of various stages. The sources of heavy metals transitioned from natural origins in 1944–1964 to industrial origins in 1965–2004. The subsequent reduction in heavy metal content was mainly due to the vigorous implementation of environmental protection policies from 2005 to 2012. In recent years (2013–2015), the heavy metal content has increased due to frequent human activity. Principal component analysis (PCA), correlation analysis, and the coefficient of variation (CV) analysis indicated that Cr, Ni, Cu, Zn, and As were derived from natural processes, Pb mainly came from automobile manufacturing, and Hg was mainly from industrial sources. The values of the geo-accumulation index (Ig), single pollution index (Pi), and single potential ecological risk index (Er) showed that the contamination of Hg and Pb was slight to moderate. Moreover, the values of the potential ecological risk index (RI), pollution load index (PLI), and Nemerow index (PN) indicated that the Shuanglong reservoir is under low ecological risk.

scholarly journals Ecological risk assessment of heavy metal-contaminated soils of selected villages in Zamfara State, Nigeria

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Sharhabil Musa Yahaya ◽  
Fatima Abubakar ◽  
Nafiu Abdu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Contaminated Soils ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Pollution Indices ◽  
Mining Activities ◽  
Positive Correlation ◽  
Flame Atomic Absorption

AbstractThe incidence of heavy metal contamination in Zamfara State, northern Nigeria, due to artisanal mining in some villages has resulted in the pollution of a vast area of land and water. This study evaluated the extent of environmental risks caused by heavy metals. It involved five (5) villages (Bagega, Dareta, Sunke, Tunga, and Abare) where mining activities were taking place and Anka town with no record of mining activities served as control. In each of the five villages, three sites (3) were identified as a mining site, processing site, and village making a total of sixteen (16) sites. Bulked soil samples were collected in triplicate and analyzed for iron, lead, cadmium, chromium, zinc, and nickel using flame atomic absorption spectrophotometry. Measured concentrations of the heavy metals in soils were then used to calculate the pollution and ecological risk pose by heavy metals. Their concentrations were in the order Fe > Pb > Cr > Zn > Cd > Ni, with Pb and Cd having a concentration higher than permissible levels for soils and accounted for 98.64% of the total potential ecological risk. Also, all the different pollution indices examined showed that all the sites were polluted with Cd, and all the processing sites were polluted with Pb. This reveals that processing sites pose more risk to heavy metal contamination. Correlation analysis showed a highly significant (p < 0.001) positive correlation between Pb and Zn, Cr and Ni, and a significant (p < 0.01) positive correlation between Fe and Pb, Zn and Cr. The principal component analysis suggested that Pb, Zn, Cr, and Ni likely originated from the same source, i.e., mining activities, and Fe and Cd originated from the abundant parent material in the study area.

scholarly journals Heavy Metal Contamination and Ecological Risk Assessment of Overlying Water and Sediments of Nkozoa Lake (Southern Cameroon)

2021 ◽  
pp. 92-109
Author(s):  
Noa Tang Sylvie Désirée ◽  
Ekoa Bessa Armel Zacharie ◽  
Tchakam Kamtchueng Brice ◽  
Wongan Kouonchie Sorel Ange ◽  
Etame Jacques ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Anthropogenic Sources ◽  
Overlying Water ◽  
Sediment Samples ◽  
Contamination Degree ◽  
Effect Level

Examination of heavy metals (Cr, Cu, Zn, Pb, Hg, Cd and Ni) in overlying water and sediments was conducted in Lake Nkozoa, in a peripheral area of Yaoundé characterized by a high population density and rapid economic development in Cameroon. Sediment samples were collected at the entrance and near the center of the lake, using a raft and polyvinyl chloride (PVC) pipes. They were subjected to water quality parameters, heavy metals comparisons and calculations of pollution indices and ecological risks followed by statistical analysis in order to identify and estimate the sources of metal contamination in overlying water and sediments of the Nkozoa Lake. The physico-chemical parameters of water show that the pH (5 < pH < 6), total dissolved solids (TDS~130 g/L) and conductivity (EC~194.8 µs/cm) are below the recommendations of the WHO. The average heavy metal concentrations in sediments, except Cd, are lower than the upper continental crust (UCC) and several environmental contamination monitoring parameters, such as threshold effect level (TEL), probable effect level (PEL), and severe effect level (SEL). The sediment samples show a low heavy metal contamination degree (class 0) and low potential ecological risk (PER) level, except for Cd and Hg which have high contamination degree (class 1 to 6) and moderate PER. Matrix correlation shows that some parameters like pH, EC, Cr and TDS, Cu, Hg in water have perfect positive correlations (r = 1.00) suggesting common sources of contamination. Cluster analyses coupled with matrix data for sediments revealed that Cd is the most contaminant elements derived from anthropogenic sources.

scholarly journals Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbso Kaifeng, China

2021 ◽  
Author(s):  
Bingyan Jin ◽  
Jinling Wang ◽  
Wei Lou ◽  
Liren Wang ◽  
Jinlong Xu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Industrial Activities ◽  
Geo Accumulation

Abstract Rivers in urban environments are significant components of their ecosystems but remain under threat of pollution from unchecked discharges of industrial sewage and domestic wastewater. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate, that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd > Zn > Cu > Pb > Ni > As > Cr. The potential ecological risk index of the Huafei river is very high, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in the Huafei River and its surrounding areas.

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