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.

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.

Contamination status and ecological risk of heavy metals in surface sediment of Kelantan River and its nearshore area, Malaysia

2019 ◽  
Vol 20 (1) ◽  
pp. 103-117
Author(s):  
Nagaiah Pooveneswary ◽  
Ahmad Farid Bin Abu Bakar ◽  
Bong Chui Wei ◽  
Choon Weng Lee ◽  
Wang Ai Jun ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Surface Sediment ◽  
Inductively Coupled Plasma ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Pollution Load Index ◽  
Emission Spectrometry ◽  
Nearshore Area ◽  
Significant Enrichment

Abstract A study on contamination status and ecological risk of heavy metals in surface sediment at selected sites on Kelantan River and its nearshore area was carried out. Ten samples along Kelantan River and 25 samples from the nearshore were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES) to determine heavy metal concentrations. Sediment samples were also analyzed for particle size compositions, total organic matter and pH content. The average concentrations for As, Cd, Cr, Cu, Mn, Ni, Pb, Zn were 7.38, 1.31, 17.71, 11.40, 507.15, 5.97, 22.61, 32.95 mg/kg for riverine and 14.14, 4.59, 29.79, 14.07, 389.96, 9.65, 62.21, 41.04 mg/kg for nearshore samples respectively. The potential ecological risk index showed stations Bekok, Manek Urai, and RH under considerable risk followed by station Pasir Mas under moderate risk. The pollution load index classified four nearshore sites (KW10, KW17, KW18, KW37) as polluted. The geo-accumulation index (Igeo) categorized moderate contamination for Cd and Pb. The enrichment factor (EF) along the river categorized extremely high enrichment for Cd, and significant enrichment for As, Pb and Mn while Pb and As were under very high and significant enrichment in nearshore areas. Pb, Cu, Zn, As, Ni and Cr showed significant correlations with each other.

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.

scholarly journals Assessment of heavy metals with ecological risk of soils in the industrial vicinity of Tangail district, Bangladesh

2018 ◽  
Vol 6 (1) ◽  
pp. 108 ◽  
Author(s):  
Ram Proshad ◽  
Md. Saiful Islam ◽  
Tapos Kormoker
Keyword(s):  
Heavy Metals ◽  
Enrichment Factor ◽  
Ecological Risk ◽  
Contamination Factor ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
Pollution Load Index ◽  
Pollution Load ◽  
Cd Contamination ◽  
The Mean

This study was conducted to assess the ecological risk of heavy metals in soils collected from the industrial vicinity of Tangail district in Bangladesh. In this study, the levels of six heavy metals namely chromium (Cr), nickel (Ni), copper (Cu), arsenic (As), cadmium (Cd), and lead (Pb) in 15 sampling sites around the industrial vicinity of Tangail district in Bangladesh were assessed. The mean concentration of Cr, Ni, Cu, As, Cd and Pb in studied soils were 11.56, 23.92, 37.27, 6.11, 2.01, and 17.46 mg/kg, respectively. Certain indices, including the enrichment factor (EF), contamination factor (Cif), geoaccumulation index (Igeo), pollution load index (PLI), toxic unit analysis, and principal component analysis (PCA) were used to assess the ecological risk. The enrichment factor of all the studied metals for all sampling sites were in the descending order of Cd > Cu > As > Pb >Ni > Cr. The contamination factor values revealed that the studied soils were highly impacted by Cd. The pollution load index (PLI) values of Cd were higher than 1, indicating the progressive deterioration of soil due to Cd contamination. In the context of potential ecological risk (PER), soils from all sampling sites showed moderate to very high potential ecological risk.

scholarly journals Eutrophication and sediment–water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran

2021 ◽  
Author(s):  
Sajjad Abbasi ◽  
Sara Sheikh Fakhradini ◽  
Neamatollah Jaafarzadeh ◽  
Pooria Ebrahimi ◽  
Shirin Yavar Ashayeri
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Petroleum Hydrocarbons ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
Total Petroleum Hydrocarbons ◽  
Pollution Indices ◽  
Factors Affecting ◽  
Nw Iran

AbstractThe heavy metal(loid)s concentrations in water and sediments were analyzed in the Hashilan wetland to assess the spatial distribution, pollution status, fate, partitioning, and ecological risk and also to identify the heavy metal(loid)s sources in sediments using PMF (Positive Matrix Factorization) and APCs-MLR (absolute principal component score-multiple linear regression) receptor models. According to the pollution indices, (Ni, Cu, Cr, Mo), and (Zn, Cr, and Cu) are considered the most important pollutants in sediments and water, respectively. Ni, Cr, and Cu are the main contributors to ecological risks in sediments of some stations. The potential ecological risk assessment proposed low ecological risk in water of the study area. Higher distribution coefficient (Kp) values of Ni, Cr, Mn, Cu, Co, Pb, As, and Zn indicated the majority of these heavy metals present in the sediments; whereas, the majority of Cd concentration occurs in water. PMF and APCs-MLR results indicated the natural sources were the main factors affecting the concentrations of Ni, Cr, Zn, Al, Co, Fe, Pb, As, Cd and somewhat Cu. Mixed natural and agricultural activities are the main sources of Mo, and somewhat Cu. According to the results, there is low pollution of TPH (total petroleum hydrocarbons) in the sediment samples. Also, phosphate (PO42−) and nitrate (NO3−) concentrations were below the recommended permissible limits at all sampling sites except the S8 station for NO3−.

scholarly journals Meta-analysis of Heavy Metal and Arsenic Ecological-risk Assessment and Sources in Surface Sediments of Lake Wuliangsuhai, China

2021 ◽  
Author(s):  
Huaijie He ◽  
Ling Liu ◽  
Wenming Yan
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Surface Sediment ◽  
Meta Analysis ◽  
Potential Ecological Risk ◽  
Control Measures ◽  
Future Research ◽  
Overlying Water

Abstract Heavy metal and arsenic (As) concentrations in the overlying water of Lake WLSH from 2013-2017 to evaluate the water quality of the lake. Heavy metal and As concentrations in Lake WLSH surface sediment from studies performed between 2009-2017 were analyzed of heavy metal geo-accumulation, potential ecological risk and toxicity data for Lake WLSH surface sediment was performed to allow heavy metal and As pollution of Lake WLSH surface sediment to be described clearly, objectively, and comprehensively. The following four main conclusions were drawn. (1) The water quality index of the overlying water showed a tendency of slight pollution in the lake from 2013 to 2017. (2) Pollution by the heavy metals (Cu, Zn, Pb, Cd, Cr) and As in Lake WLSH should be given increased attention. (3) The geoaccumulation indices showed that Cd is the most critical pollutant and that the probabilities of Lake WLSH sediment being slightly polluted and moderately polluted were found to be 72.8% and 11.3%, respectively. (4) Cd is the main contributor (75.2%) to potential ecological risks, and although As is at a low toxicity level, its toxicity-risk contribution is higher than that of other metals (approximately 31%). (5) Positive matrix factorization (PMF) model results indicated that industrial and agricultural resources are the main suppliers of heavy metals to Lake WLSH sediment, contributing 43.2% and 42.6% of the heavy metals and As. The summarized results and conclusions can help the local government further understand heavy metals and As pollution in Lake WLSH and develop corresponding pollution-control measures. This study can also serve as a reference for future research on the heavy metals and As pollution of sediment in Lake WLSH and other lakes.

scholarly journals Ecological Risk Due to Heavy Metal Contamination in Sediment and Water of Natural Wetlands with Tourist Influence in the Central Region of Peru

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2256
Author(s):  
María Custodio ◽  
Anthony Fow ◽  
Fernán Chanamé ◽  
Edith Orellana-Mendoza ◽  
Richard Peñaloza ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Ecological Risk ◽  
Central Region ◽  
Principal Component ◽  
Component Analysis ◽  
Potential Ecological Risk ◽  
Moderate Degree ◽  
Degree Of Contamination ◽  
Flame Atomic Absorption ◽  
Natural Wetlands

In this study, the quality of sediment and surface water in two natural wetlands, Paca and Tragadero, in the central region of Peru was evaluated using pollution indices, including the geoaccumulation index, pollutant load index, modified pollution degree, potential ecological risk index, and site rank index, for four heavy metals. Principal component analysis was used to identify potential metal contaminant sources. The determination of Fe, Zn, Pb, and As was performed by flame atomic absorption spectrophotometry. The average concentrations of metals in the sediments of both lagoons decreased in the order Fe > Zn > Pb > As. The analysis of the contamination indices determined that As and Pb are the elements that contribute the most to environmental degradation in both wetlands. There is a strong correlation between the values of potential ecological risk and the modified degree of contamination, revealing that the Paca wetland has a moderate degree of contamination and potential ecological risk, while Tragadero presents a high degree of contamination and considerable potential ecological risk. The application of the site rank index showed that more than 50% of the sampling sites have between high and severe contamination. The principal component analysis presented 79.2% of the total variance. Finally, the results of this study are essential in order to carry out preventive actions for environmental protection in these lake ecosystems of great importance for many activities, such as bird watching.

scholarly journals Distribution and Contamination Assessment of Soil Heavy Metals in the Jiulongjiang River Catchment, Southeast China

2019 ◽  
Vol 16 (23) ◽  
pp. 4674 ◽  
Author(s):  
Zhang ◽  
Han ◽  
Liu ◽  
Li ◽  
Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Geoaccumulation Index ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
Statistical Correlation ◽  
Strong Correlations ◽  
Contamination Assessment ◽  
River Catchment ◽  
Jiulongjiang River

A total of 63 soil samples were collected from three soil profiles (yellow soil, red loam, red soil) from Jiulongjiang river catchment to investigate the distribution, controlling factors, and toxic risks of heavy metals, including Cr, Mn, Fe, Cu, Zn, Cd, Pb, and Ni. The results showed that Cr and Cd in soils were enriched. The relationships between heavy metals and soil properties were assessed by principal component analysis. The results indicated that soil organic matter (SOM) played a fundamental role in controlling Cd and Pb in yellow soil and red loam sites. The Cd was significantly correlated with Pb and Cu, and Cr, Zn, Ni, Fe displayed strong correlations with each other, however, no statistical correlation was found between Cd and Cr. The enrichment factor and geoaccumulation index analyses showed that the soils in the study area were contaminated by Cd. Potential ecological risk analyses indicated that Cd posed a considerable ecological risk in yellow soils, and posed a moderate ecological risk in red loams and red soils.

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.

Sign in / Sign up

Export Citation Format

Share Document