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.

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.

scholarly journals Analysis of heavy metal contamination in surface sediments of Iskenderun Bay, Turkey

2021 ◽  
Vol 50 (4) ◽  
pp. 411-420
Author(s):  
Banu Kutlu ◽  
Tahir Özcan ◽  
Gülnaz Özcan
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Environmental Protection Agency ◽  
Heavy Metal Contamination ◽  
Risk Index ◽  
Contamination Factor ◽  
Principal Component ◽  
The United States ◽  
Potential Ecological Risk ◽  
Iskenderun Bay

Abstract The ecological risk resulting from the accumulation of some heavy metals in the sediments of Iskenderun Bay was assessed using the following measures: enrichment and contamination factor, pollution load index (PLI), and potential ecological risk index (RI). The concentrations of the studied heavy metals were in the following order: Fe > Ni > Mn > Cr > Zn > Cu > As > Pb > Cd > Hg. Ni and As had the highest EF values. This situation is most likely due to the presence of iron, pesticide, and fertilizer plants in the region. According to the United States Environmental Protection Agency, Ni, As, Mn, and Cr may have harmful effects on faunal communities in sediments. According to the RI, Site 4 was more contaminated and toxic than the other seven study sites, with “moderate” ecological risk. Pearson’s correlation coefficient was determined by multivariate methods – cluster and principal component analysis. As can be inferred from the RI values, the potential toxic effect of As and Ni in the sediments is moderate.

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.

scholarly journals Ecological Risk Assessment and Contamination History of Heavy Metals in the Sediments of Chagan Lake, Northeast China

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 894
Author(s):  
Panfeng Liu ◽  
Chaojie Zheng ◽  
Meilan Wen ◽  
Xianrong Luo ◽  
Zhiqiang Wu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Ecological Risk ◽  
Surface Sediment ◽  
Northeast China ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
210Pb Dating ◽  
History Of ◽  
Chagan Lake

The study deals with the spatio-temporal distribution of heavy metals in the sediments of Chagan lake, Northeast China. The pollution history of heavy metals is studied simultaneously through the 210Pb dating method by analyzing the characteristic of As, Hg, Cd, Cr, Ni, Cu, Pb, and Zn concentration-depth profiles. The potential ecological risk index (RI) and geo-accumulation index (Igeo) were used to evaluate the contamination degree. Principal component analysis (PCA), based on the logarithmic transformation and isometric log-ratio (ilr) transformed data, was applied with the aim of identifying the sources of heavy metals. The element concentrations show that the heavy metals are enriched in the surface sediment and sediment core with a varying degree, which is higher in the surficial residue. The results of Igeo indicate that the Cd and Hg in the surface sediment have reached a slightly contaminated level while other elements, uncontaminated. The results of RI show that the study area can be classified as an area with moderate ecological risk in which Cd and Hg mostly contribute to the overall risk. For the sediment core, the 210Pb dating results accurately reflect the sedimentary history over 153 years. From two evaluation indices (RI and Igeo) calculated by element concentration, there is no contamination, and the potential ecological risk is low during this period. The comparative study between raw and ilr transformed data shows that the closure effect of the raw data can be eliminated by ilr transformation. After that, the components obtained by robust principal component analysis (RPCA) are more representative than those obtained by PCA, both based on ilr transformed dataset, after eliminating the influence of outliers. Based on ilr transformed data with RPCA, three primary sources could be inferred: Cr, Ni, As, Zn, and Cu are mainly derived from natural sources; the main source of Cd and Hg are associated with agricultural activities and energy development; as for Pb, it originated from traffic and coal-burning activities, which is consistent with the fact that the development of tourism, fishery, and agriculture industries has led to the continuous increasing levels of anthropogenic Pb in Chagan Lake. The summarized results and conclusions will undoubtedly enhance the governmental awareness of heavy metal pollution and facilitate appropriate pollution control measures in Chagan Lake.

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.

Study on Potential Ecological Risk Assessment of Sediment from the Yangtze River (Chongqing Downtown Section) in China

2011 ◽  
Vol 414 ◽  
pp. 262-267 ◽  
Author(s):  
Wen Bing Ma ◽  
Fei Wang ◽  
Qin Zhai ◽  
Xing Yang ◽  
Yu Zhou ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Yangtze River ◽  
Heavy Metal Contamination ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Monitoring Site ◽  
The Yangtze River ◽  
Site Factor ◽  
National Monitoring

The potential ecological risk index,proposed by Hakanson, was employed for evaluating the heavy metal contamination of the Yangtze River sediment in Chongqing downtown section. Basing on the analysis of last fifteen years monitored data from two national monitoring sections, the results indicated that: The potential ecological risk of the Yangtze River Chongqing downtown section was classified as moderate. The sequence of potential ecological risk was Zn< Pb (As) < As (Pb) < Cu < Cd< Hg, while the concentration of heavy metal in the sediment was Zn> Cu >Pb> As > Cd > Hg. The concentrations of Cd and Cu had significant correlation, Hg should be taken into prior consideration for pollution control and reduction due to its highest potential ecological risk. The RI in 2005 was highest, Hg contributed the most. All the heavy metal except for Pb had distinctive variance, but the variance of RI was not significant annually, It might carried the connotation of little difference on Pb emission amount. According to the location of monitoring site factor variance analysis, it implied that only the potential ecological risk of As and Cd varied significantly.

Stochastic potential ecological risk model for heavy metal contamination in sediment

2019 ◽  
Vol 102 ◽  
pp. 246-251 ◽  
Author(s):  
Yan Feng ◽  
Qian Bao ◽  
Chen Yunpeng ◽  
Zhao Lizi ◽  
Xiao Xiao
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Risk Model ◽  
Potential Ecological Risk

scholarly journals Heavy Metals Distribution, Sources, and Ecological Risk Assessment in Huixian Wetland, South China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 431
Author(s):  
Liangliang Huang ◽  
Saeed Rad ◽  
Li Xu ◽  
Liangying Gui ◽  
Xiaohong Song ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Ecological Risk ◽  
South China ◽  
Ecological Risk Assessment ◽  
Risk Index ◽  
Pollution Index ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
Anthropogenic Sources

This research has focused on the source identification, concentration, and ecological risk assessment of eight heavy metals in the largest karst wetland (Huixian) of south China. Numerous samples from superficial soil and sediment within ten representative landuse types were collected and examined, and the results were analyzed using multiple methods. Single pollution index (Pi) results were underpinned by the Geoaccumulation index (Igeo) method, in which Cd was observed as the priority pollutant with the highest contamination degree in this area. As for the most polluted landuse type, via applying Nemerow’s synthetical contamination index (PN) and Potential ecological risk index (RI), the river and rape field posed the highest ecological risks, while moderate for the rest. To quantify the drivers of the contaminants, a principal component analysis (PCA) was carried out and weathering of the watershed’s parent carbonate rocks was found to be the main possible origin, followed by anthropogenic sources induced by agricultural fertilizer. Considering the impacts of these potentially toxic elements on public health, the results of this study are essential to take preventive actions for environmental protection and sustainable development in the region.

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