scholarly journals Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria

2021 ◽  
Author(s):  
C. G. Achi ◽  
A. M. Omoniyi ◽  
A. O. Coker ◽  
M. K. C. Sridhar
Keyword(s):  
Heavy Metals ◽  
River Sediments ◽  
Sediment Quality ◽  
Principal Component ◽  
Sampling Location ◽  
Distribution Profile ◽  
Data Set ◽  
Anthropogenic Inputs ◽  
Petroleum Resources ◽  
Heavy Metal Assessment

Abstract Heavy metals are pollutants of river sediments, and their concentration varies depending on parental material and anthropogenic inputs, thus important to distinguish between the natural and anthropogenic inputs. The objective of this study is to use different types of indexes to assess the current pollution status in Ogbere River sediment and select the best index to describe the sediment quality. The indexes used in this study were enrichment factor (EF), geoaccumulation index (Igeo) and principal component analysis (PCA). The PCA has an advantage over other index analyses as it reduces the dimensionality of the data set and thus used to support multivariate cluster analysis. From the study, a total of 12 sediment samples were collected in both seasons across six sampling location and pollution indexes indicated three things: firstly, the metal distribution profile in the sediment showed that the heavy metals analysed for were lower than the maximum allowable limits stipulated by Department of Petroleum Resources (DPR); secondly, minor to extremely severe significant levels of enrichment and thirdly, practically uncontaminated to a moderately contaminated degree of contamination in Ogbere River during the study period. The PCA is considered more sensitive in the analysis of benthic changes and as well as sediment quality. However, the heavy metal assessment indices are not only used for sediment quality. Biological testing and ecological analysis of existing community related to sediment contamination are further recommended in River Ogbere.

scholarly journals Geochemistry pollution status and ecotoxicological risk assessment of heavy metals in the Pahang River sediment after the high magnitude of flood event

2020 ◽  
Author(s):  
K. Y. Lim ◽  
N. A. Zakaria ◽  
K. Y. Foo
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
River Sediment ◽  
Risk Index ◽  
River Sediments ◽  
Sediment Quality ◽  
Contamination Factor ◽  
Potential Ecological Risk ◽  
Flood Event ◽  
Pollution Status

Abstract The present work is aimed at assessing the aftermath effects of the 2014 flood tragedy on the distribution, pollution status and ecological risks of the heavy metals deposited in the surface river sediment. A series of environmental pollution indexes, specifically the enrichment factor (EF), geo-accumulation index (Igeo), contamination factor (CF), modified degree of contamination (mCd), pollution load index (PLI), potential ecological risk index (PERI) and sediment quality guidelines (SQGs) have been adopted. Results revealed that the freshly deposited sediments collected soon after the flood event were dominated by Cu, Fe, Pb, Ni, Zn, Cr and Cd, with the average concentrations of 38.74, 16,892, 17.71, 4.65, 29.22, 42.36 and 0.29 mg/kg, respectively. According to the heavy metal pollution indexes, Pahang River sediments were moderately to severely contaminated with Pb, Ni, Cu, Zn and Cr, while Cd with the highest risk of 91.09 was the predominant element that illustrated an aesthetic ecological risk to the water body after the tragic flood event. The findings highlighted a critical deterioration of the heavy metals content, driven by the catastrophic flood event, which has drastically altered their geochemical cycles, sedimentary pollution status and biochemical balance of the river's environment.

Multivariate analyses on heavy metal binding fractions of river sediments in Southern Taiwan

2000 ◽  
Vol 42 (7-8) ◽  
pp. 193-199 ◽  
Author(s):  
K. C. Yu ◽  
C. Y. Chang ◽  
L. J. Tsai ◽  
S. T. Ho
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Organic Matter ◽  
Metal Binding ◽  
River Sediments ◽  
Principal Component ◽  
Fe Oxides ◽  
Data Points ◽  
Southern Taiwan ◽  
Highly Correlated

This study depicts the amounts of heavy metals (Cu, Zn, Pb, Cr, Co, and Ni) bound to four geochemical compositions of sediments (carbonates, Mn oxides, Fe oxides, and organic matters), and the correlations between various geochemical compositions and their heavy-metal complexes. Hundreds of data, obtained from sediments of five main rivers (located in southern Taiwan), were analyzed by using multivariate analysis method. Among the four different geochemical compositions, the total amount of the six heavy metals bound to organic matter is the highest. Zn is easily bound to various geochemical compositions, especially carbonates in sediments of the Yenshui river and the Potzu river (i.e., the heavily heavy-metal polluted sediments); Cr, Pb, and Ni are mainly bound to both Fe oxides and organic matter; Cu has high affinity to organic matter. By performing principal component analyses, the data points of organic matter and both Pb and Cu associated with organic matter cluster together in sediments ofthe Peikang, the Potzu, and the Yenshui rivers, which indicates both Pb and Cu might be discharged from the same pollution sources in these rivers. Moreover, correlations between any two binding fractions of heavy metal associated with Fe oxides in different rivers are not consistent, which indicates some factors including the binding sites of Fe oxides, the extent of heavy metal pollution, binding competitions between heavy metals may affect the amounts of heavy metals bound to Fe oxides. Furthermore, it should be noted that the amount of Pb bound to Fe oxides is highly correlated with the amount of Fe oxides in sediments of the Peikang, the Potzu, and the Yenshui rivers.

Characteristics and discrimination of five types of wood-plastic composites by FTIR spectroscopy combined with principal component analysis

Holzforschung ◽  
2010 ◽  
Vol 64 (6) ◽  
Author(s):  
Chia-Huang Lee ◽  
Tung-Lin Wu ◽  
Yong-Long Chen ◽  
Jyh-Horng Wu
Keyword(s):  
Principal Component Analysis ◽  
Ftir Spectroscopy ◽  
Principal Component ◽  
Core Layer ◽  
Component Analysis ◽  
Attenuated Total Reflection ◽  
Distribution Profile ◽  
Data Set ◽  
Wood Plastic Composites ◽  
Plastic Composites

Abstract The analytical potential of attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy has been tested on the following wood-plastic composites (WPCs): high and low density polyethylene (HDPE and LDPE), polypropylene (PP), polystyrene (PS), and a recycled plastic (rHDPE). The data set of ATR-FTIR spectra has been analyzed by principal component analysis (PCA) and the studied samples could be grouped according to their polymeric matrixes. Additionally, ATR-FTIR spectroscopy proved to be a useful tool for determining the distribution profile of wood and plastic materials within different types of WPCs. Accordingly, the plastic content of the surface layers of HDPE, rHDPE, and PP composites was significantly higher than that of the core layer, whereas homogenous dispersion was observed in the LDPE composite. Among all WPCs, the PS composite displayed the worst dispersion.

scholarly journals Heavy Metals Assimilation by Native and Non-Native Aquatic Macrophyte Species: A Case Study of a River in the Eastern Cape Province of South Africa

Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2676
Author(s):  
Getrude Tshithukhe ◽  
Samuel N. Motitsoe ◽  
Martin P. Hill
Keyword(s):  
Heavy Metals ◽  
South Africa ◽  
Sediment Quality ◽  
Point Sources ◽  
Eastern Cape Province ◽  
Eastern Cape ◽  
Anthropogenic Inputs ◽  
Water And Sediment ◽  
Macrophyte Species ◽  
Water And Sediment Quality

There is continuous deterioration of freshwater systems globally due to excessive anthropogenic inputs, which severely affect important socio-economic and ecological services. We investigated the water and sediment quality at 10 sites along the severely modified Swartkops River system in the Eastern Cape Province of South Africa and then quantified the phytoremediation potential by native and non-native macrophyte species over a period of 6 months. We hypothesized that the presence of semi and permanent native and non-native macrophytes mats would reduce water and sediment contamination through assimilation downriver. Our results were variable and, thus, inconsistent with our hypotheses; there were no clear trends in water and sediment quality improvement along the Swartkops River. Although variable, the free-floating non-native macrophyte, Pontederia (=Eichhornia) crassipes recorded the highest assimilation potential of heavy metals in water (e.g., Fe and Cu) and sediments (e.g., Fe and Zn), followed by a submerged native macrophyte, Stuckenia pectinatus, and three native emergent species, Typha capensis, Cyperus sexangularis, and Phragmites australis. Pollution indices clearly showed the promising assimilation by native and non-native macrophytes species; however, the Swartkops River was heavily influenced by multiple non-point sources along the system, compromising the assimilation effect. Furthermore, we emphasise that excessive anthropogenic inputs compromise the system’s ability to assimilate heavy metals inputs leading to water quality deterioration.

Pollution and Potential Biological Toxicity Assessment Using Heavy Metals from Surface Sediments of Liangtan River, Chongqing, China

2011 ◽  
Vol 137 ◽  
pp. 262-268 ◽  
Author(s):  
Guo Tao Liu ◽  
Xiao Yan Zheng ◽  
Xu Ya Peng ◽  
Jian Hua Li
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Risk Index ◽  
River Sediments ◽  
Sediment Quality ◽  
Pollution Assessment ◽  
Atomic Fluorescence Spectrometry ◽  
Biological Toxicity ◽  
Toxicity Effects

The concentrations of heavy metals (Cu, Zn, Pb, Cd, Ni, Cr, As) in the surface sediment of Liangtan River were determined by using atomic absorption spectrometry (AAS) and atomic fluorescence spectrometry (AFS), and the toxic effects and sediment pollution assessment were conducted systematically by using Sediment Quality Guidelines (SQG), Hakanson Potential Ecological Risk Index. Moreover, the underlying source of heavy metal was analyzed. The results indicated that the concentrations of Cu, Zn, Pb, Cd, Ni, Cr, As were 29.4-158.1, 40.2-291.3, 23.4-148.2, 0.01-0.79, 6.4-106.2, 17.9-170.6, 1.3-45.1mg/kg respectively. Base on the SQG, besides Cd concentrations of few sampling sites were above the threshold effects level (TEL), the rest heavy metal concentrations of most sampling sites were all between TEL and the probable effects level (PEL), and biological toxicity effects may take place, especially Baishiyi, Hangu and Huilongba, harmful biological toxicity effects may frequently take place. Compared to background values of soil heavy metals in the Three Gorges Reservoir Region, the heavy metals in Liangtan River sediments showed higher ecological risk, and the ecological risk of the heavy metals, arranged from the highest to lowest pollution degree, was as follows Cd, As, Cu, Pb, Ni, Zn, Cr.

scholarly journals Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

2021 ◽  
Vol 14 (2) ◽  
pp. 694
Author(s):  
Micael De Souza Fraga ◽  
Laura Thebit de Almeida ◽  
Marcel Carvalho Abreu ◽  
Felipe Bernardes Silva ◽  
Guilherme Barbosa Reis ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Heavy Metals ◽  
Water Quality ◽  
Soil Erosion ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Minas Gerais ◽  
Data Set ◽  
Domestic Effluents

No estado de Minas Gerais, as campanhas de coleta e análise da qualidade da água nos corpos hídricos contemplam até 51 variáveis, o que dificulta a análise e interpretação desse conjunto de dados e a identificação das variáveis determinantes para a qualidade da água. Diante disso, o objetivo deste trabalho foi identificar as principais fontes de poluição, bem como o comportamento da qualidade da água ao longo do tempo de monitoramento, por meio de diferentes análises estatísticas na circunscrição hidrográfica do rio Piranga. Pelos resultados obtidos, a análise fatorial/análise de componentes principais apontou a alta susceptibilidade que a bacia apresenta à erosão do solo, a contaminação pelo lançamento de efluentes domésticos e a variabilidade da qualidade das águas em virtude dos metais pesados. As variáveis Escherichia coli, ferro dissolvido, fósforo total e manganês total apresentaram os valores de violação da classe de enquadramento mais críticos. A análise de tendência mostrou padrões diferentes para o índice de qualidade da água e para as variáveis mais relevantes para a qualidade da água. Dentre as variáveis que compõe o índice, destacam-se as tendências de aumento de nitrato em todas as estações analisadas. De maneira geral, os resultados mostraram que a qualidade da água na área de estudo varia em função da erosão do solo, do alto grau de contaminação por efluentes domésticos, da poluição difusa advinda das áreas agrícolas e dos metais pesados, sendo as variáveis de qualidade da água vinculadas a estes fatores as mais importantes. Surface water quality assessment in the hydrographic region of the Piranga River using multivariate and non-parametric statistical analysis ABSTRACTIn the state of Minas Gerais, campaigns to collect and analyze water quality in water bodies include up to 51 variables, which makes it difficult to analyze and interpret this data set and to identify the determining variables for water quality. Therefore, the objective of this work was to identify the main sources of pollution, as well as the behavior of water quality over the monitoring time, through different statistical analyzes in the hydrographic region of the Piranga River. Based on the results obtained, the factor analysis/principal component analysis out the high susceptibility that the hydrographic region presents to soil erosion, contamination by the release of domestic effluents and the variability of water quality due to heavy metals. The variables Escherichia coli, dissolved iron, total phosphorus and total manganese presented the most critical values of violation of the framework class. The trend analysis showed different patterns for the water quality index and for the most relevant variables for water quality. Among the variables that make up the index, the trends of nitrate increase in all analyzed stations stand out. In general, the results showed that the water quality in the unit varies depending on soil erosion, the high degree of contamination by domestic effluents, the diffuse pollution from agricultural areas and heavy metals, with water quality variables being linked to these factors the most important.Keywords: environmental analysis, Minas Gerais, water pollution, water resources.

The ecological risk assessment and suggestions on heavy metals in river sediments of Jinan

2017 ◽  
Vol 76 (8) ◽  
pp. 2177-2187 ◽  
Author(s):  
Xu Wang ◽  
Lijun Ren ◽  
Fengchao Jiao ◽  
Wenjie Liu
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
River Sediments ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
Moderate Degree ◽  
Multivariate Statistical ◽  
Ecological Risk Index ◽  
Heavy Metals Pollution

The concentrations of eight heavy metals (Cr, Hg, As, Pb, Cd, Cu, Zn, Ni) in six river sediment samples were collected for evaluation of the degree of the heavy metals pollution distribution and ecological risk of three main rivers' sediments in Jinan. Multivariate statistical techniques were used to determine the most common pollution sources. The results illustrated that all of the metals in Damatou and Xinfengzhuang sections of the Xiaoqing River were much higher than the background value, and the level of potential ecological risk index was very high. The remaining four sections had a low or moderate degree of ecological risk. Principal component analysis (PCA) showed that all metals, with the exception of As, formed the first component explaining 86.85% of the total variance and industry sources could be considered as the first component, while As alone could be the second component, representing agricultural source. The elements Cr and Zn were grouped together while the remaining six metals formed a separate category. Among all heavy metals, Hg and Cd were the most significant contributors to the pollution. Therefore, the prevention of pollution should pay more attention to controlling the sources, especially Hg and Cd.

scholarly journals Evaluation of Contamination and Accumulation of Heavy Metals in the Dhaleswari River Sediments, Bangladesh

2021 ◽  
Vol 10 (1) ◽  
pp. 1-19
Author(s):  
Abdullah Al Mamun ◽  
Protima Sarker ◽  
Md. Shiblur Rahaman ◽  
Mohammad Mahbub Kabir ◽  
Masahiro Maruo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
River Sediment ◽  
River Sediments ◽  
Sediment Quality ◽  
Contamination Factor ◽  
The United States ◽  
The Mean

The Dhaleswari river is considered as one of the most important rivers of Bangladesh due to its geographical location and ecological services. The present study attempts to evaluate the degree of heavy metal pollution, contamination, and accumulative behavior in  the sediment of the Dhaleswari river. The sediment samples were collected from fifteen different locations of the Dhaleswari river. Heavy metals were analyzed using the Flame Atomic Spectrophotometer (FAAS). The mean concentrations of Zn, Cu, Cr, Pb and Cd were 131.9, 48.89, 43.16, 33.23 and 0.37 mgkg-1, respectively. According to the United States Environmental Protection Agency (USEPA) Sediment Quality Guideline, the sediment of most of the locations were not polluted for Pb and Cd. But S-11 location for Cd (0.8 mg kg-1) was highly polluted. For Cr, Cu and Zn, maximum locations were moderately polluted. Although the geo-accumulation index (Igeo) values of Dhaleswari river sediments showed almost no severe contamination for most of the sampling locations, the pollution load index (PLI) values showed that most of the sampling sites were contaminated for all heavy metals tested. Moreover, for all measured heavy metals, the mean Contamination Factor (CF) values indicated moderate pollution, except for Cr, which suggested low pollution. The Pearson’s correlation coefficient matrix among the selected heavy metals of Dhaleswari river sediment showed no significant correlation among each other. Therefore, regular monitoring of the heavy metal concentration of the Dhaleshwari river sediment from different location is necessary to identify the sources of pollution so that proper initiative could be taken to prevent heavy metal pollution.

scholarly journals Environmental Soil, Water, and Sediment Quality of Dong Thang Landfill in Can Tho City, Vietnam

2019 ◽  
pp. 73-83
Author(s):  
Huynh T.H. Nhien ◽  
Giao T. Nguyen
Keyword(s):  
Heavy Metals ◽  
Surface Water ◽  
Bottom Sediment ◽  
Sediment Quality ◽  
Oxygen Demand ◽  
Principal Component ◽  
National Standard ◽  
Rice Field Soil ◽  
Sediment Data ◽  
Can Tho City

This study is a preliminary assessment of water, soil, and bottom sediment quality at and around Dong Thang landfill in Co Do district, Can Tho city, Vietnam. Four canal water samples, one leachate sample, and three soil samples from the surrounding rice fields, two bottom sediment samples from the canals, and one bottom sediment sample from the leachate pond were examined for this purpose. The results revealed that the leachate sample contained six heavy metals (Mn, Fe, Cu, Zn, Cr, and Ni) with high electrical conductivity (EC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), ammonia (NH4+-N), nitrate (NO3--N), and phosphate (PO43--P) (9922.7 μS cm-1, 832.00 mg L-1, 3,729.08 mg L-1, 743.75 mg L-1, 366.27 mg L-1, 6.03 mg L-1, and 0.22 mg L-1, respectively). Further, seven heavy metals (Zn, Cu, Mn, Cr, Ni, Pb, and Fe) were detected in the sediment of the leachate collection pond. COD, TSS, NH4+-N, Mn, and Fe concentrationsfor surface water exceeded the permissible level prescribed by the Vietnam national standard for surface water (QCVN 08-MT:2015/BTNMT). All heavy metals found in the leachate sediments were also detected in canal sediments and rice-field soil, thereby leading to the conclusion that pollutants disperse into the surrounding environment. Further, principal component analysis revealed that 91.3% of the variations in soil and sediment data could be explained by two primary components, PC1 and PC2. These components represent two sources of pollution, agricultural production and landfill activities, besides other pollution sources. The findings of this preliminary study show that water, soil, and bottom sediment in the area surrounding the landfill are contaminated with organic matter, nutrients, and heavy metals. Therefore, monitoring of the environment in the study area should be conducted to detect any pollutants, and alert local authorities and environmental managers.

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