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

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.

2020 ◽  
Vol 20 (2) ◽  
pp. 77-85
Author(s):  
S. A. Ndur ◽  
S. Y. Nyarko ◽  
I. Quaicoe ◽  
L. B. Osei

Sediment contamination by heavy metals resulting from anthropogenic activities is increasingly becoming a global concern due to the risk it poses to human well-being and ecological integrity at large. The purpose of this study was to assess the heavy metals loading in sediment along the Kawere stream. Ten sediment samples were collected, acid digested and analysed for copper (Cu), lead (Pb), cadmium (Cd), manganese (Mn), zinc (Zn), nickel (Ni), chromium (Cr), cobalt (Co) and iron (Fe) using a Varian AA240FS Atomic Absorption Spectrometer (AAS). The Australian and New Zealand Environment and Conservation Council (ANZECC) guidelines for freshwater sediment quality was used as the benchmark against which the measured metal concentrations were compared. Nemerow’s pollution and potential ecological risk indices were used to evaluate the pollution status and ecological risk levels of the heavy metals in the stream. The results obtained indicated that, except Cu which exceeded the ANZECC trigger value of 65 mg/kg at three sampling sites (K01=171.29 mg/kg, K05=170.83 mg/kg and K07=113.31 mg/kg), all other measured heavy metals concentrations were below their corresponding ANZECC values. Heavy metal pollution assessment showed that three samples (K01, K05 and K07) were slightly polluted, suggesting the likelihood of posing a health threat to the aquatic organisms and humans. Calculated Ecological Risk Index (RI) ranged from 3.229 to 19.750 (RI < 150), representing a low ecological risk. As such, the metals, Cu, Ni, Cd, Pb, Cr, and Zn pose a low ecological risk to the aquatic ecosystem. Although the ecological risk is low based on the current results, constant monitoring of the stream quality is recommended due to the increasing human activities along the stream as well as the sediments ability to accumulate and remobilise heavy metals back into the water column and possibly transferring them through the food chain.   Keywords: Heavy Metals, Sediment, Ecological Risk Assessment, Pollution, Stream


2020 ◽  
Author(s):  
K. Y. Lim ◽  
N. A. Zakaria ◽  
K. Y. Foo

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.


2020 ◽  
Author(s):  
Dnyaneshwar Shinde ◽  
Dnyanesh M. Mahajan ◽  
Sanjay D. Chakane

Abstract The study was conducted to investigate heavy metal contents namely, Iron (Fe), Copper (Cu), Zinc (Zn), and Manganese (Mn) from surface sediment and water samples collected from the Ujjani Reservoir. The concentrations (mg kg− 1) of Fe, Cu, Zn and Mn in sediment detected were 4455.0, 184.05, 97.4, 1090.5 respectively, while in water metal contents (mg l− 1) Fe, Cu, Zn, and Mn were 3.05, 0.5, 0.82, and 2.56 correspondingly. The contents of metals in the studied samples showed a descending order such as Fe, Mn, Zn and Cu. It was observed that the mean concentrations of Fe, Cu, and Mn were more in sediment and water, whereas, Zn contents were detected lesser than the standard levels proposed by USEPA 2004. The sediment pollution analysis was achieved using a Pollution load index (PLI), Geoaccumulation index (Igeo) and Potential ecological risk index (RI). Similarly, risk of metals in water was evaluated using Average absorption dose (ADD), Hazardous quotient (HQ), and Hazardous index (HI). In our study, the ADD, HQ and HI values for metals were lower than 1, indicating that there is no health risk associated with studied heavy metals present in surface water. Also sediment quality assessment shows that there is minor ecological risk of studied heavy metals. Even though, the Ujjani Reservoir has a lower ecological risk, its water and sediment quality is declining day by day. Therefore, there is a need to make a policy for ecological restoration to avoid further damage to the ecosystem and human beings.


2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu

Abstract Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0–120 cm in depth in the upstream, 0–60 cm in the midstream, and 0–20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.


Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1801
Author(s):  
Valentina Andreea Calmuc ◽  
Madalina Calmuc ◽  
Maxim Arseni ◽  
Catalina Maria Topa ◽  
Mihaela Timofti ◽  
...  

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.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Upoma Mahmud ◽  
Md. Tareq Bin Salam ◽  
Abu Shamim Khan ◽  
Md. Mizanur Rahman

AbstractHigher accumulation of heavy metals in food grains is one of the leading problems for carcinogenic effects in the body. That’s why; scientists have taken this problem as a potential indicator for ensuring safe food. The present study was carried out to assess the ecological risk of heavy metals such as nickel, copper, arsenic, lead, and manganese in agricultural soil and transfer status to rice grain. Soil samples were collected from four agricultural fields at different times in the Dumuria Upazila under Khulna district in Bangladesh. Heavy metal concentration in soil extracts, irrigation water samples, and grain samples was determined by Atomic Absorption Spectrometer. Average metal concentrations in soil were calculated and compared with the reference value in soil. In most cases, heavy metals in agricultural soil (Ni: 61.73–94.52 mg/kg; Cu: 23.33–37.5 mg/kg; As: 7.53–19.63 mg/kg; Pb: 15.17–29.19 mg/kg; Mn: 322.98–478.45 mg/kg) were greater than the reference soil (Ni: 13.08–24.55 mg/kg; Cu: 10.35–13.28 mg/kg; As: 1.87–4.61 mg/kg; Pb: 4.88–8.27 mg/kg; Mn: 52.17–74.3 mg/kg). Overall risk index stated that the examined soils were at moderate risk of contamination. Transfer Factor of arsenic (0.018–0.032 mg/kg) and manganese (0.059–0.155 mg/kg) was higher from soil to rice grain. On the other hand, transfer factor of lead was found negligible that is a good sign of improvement. The findings of the study will be good documentation for planning, risk assessment, and decision-making by environmental managers in this region.


Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 180
Author(s):  
Arup Acharjee ◽  
Zia Ahmed ◽  
Pankaj Kumar ◽  
Rafiul Alam ◽  
M. Safiur Rahman ◽  
...  

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.


2018 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Eka Wardhani ◽  
Suprihanto Notodarmojo ◽  
Dwina Roosmini

Heavy metal pollution is one of the problems that continue to occur in Indonesia which is very important because it is non-degradable, persistent, and can accumulate in the bodies of living things. Heavy metal in the water is usually present in low concentrations but human activity shall increase. Saguling Reservoir is one of the largest manmade lake in West Java Province which has experienced water contamination. The purpose of this study is to assess the quality of sediments related to the pollution of four heavy metals ie Cd, Cr, Cu, and Pb contained in Saguling Reservoir sediment using CF, MPI, Igeo and PERI methods in the rainy and dry seasons.Sediment samples are taken in twelve points around the reservoir by 2015-2017. Based on the results of this study it can be concluded that the sediment quality of Saguling Reservoir has been contaminated by heavy metals Cd, Cr, Cu, and Pb. This is caused by human activity in the water catchment area of the reservoir. Based on the results of the analysis of sediment quality using Igeo and CF the sediment of Saguling Reservoir has been polluted by heavy metals, specifically Cd in the rainy and dry seasons. The result of assessment of sediment quality by MPI method can be concluded that the sediment of Saguling Reservoir as a whole has been contaminated by Cd, Cr, Cu, and Pb. Based on calculations using PERI method, the sediment quality of Saguling Reservoir has contaminated Cd with serious ecological risk category during rainy and dry season, contaminated with Cr and Pb with low grade ecologogical risk category during rainy and dry season, has been contaminated with Cu with low grade ecological risk in the rainy season and moderate ecological risk in the dry season. Based on the results of this study that the Cd must be cautioned carefully, because of the highest concentration in the rainy and dry season than three other heavy metals.


Author(s):  
Sani Daniel Eneji ◽  
Matthew Chijioke Apeh ◽  
Enyojo Samson Okwute ◽  
Alowakennu Micheal ◽  
Kayode Ibrahim Fesomade

This study aims at determining the concentration of heavy metal contaminants in the soil around Dangote cement factory Kogi State, Nigeria. It also seeks to understand the relationship between the heavy metals and the level of concentration with respect to distance and direction as well as the ecological risk it poses. The monitoring and assessment of soil pollution have over the years become a very important area of study due to the significant threat it poses to the food web. A total of 33 soil samples were collected in the Northern, Eastern and Western axis within a radius of 4km of Dangote cement factory at a depth of 0-15cm using a stainless steel auger. The contamination factor indices for Cr and Cu show moderate pollution across all the samples collected from different axis at a different distance from the factory. Zn also pose a moderate pollution across the samples except for WK4 and NK4 where it is in a low level of contamination. The geo-accumulation indices for Pb and Cr show unpolluted to moderately polluted across all samples at different locations expect for sample location EK4. The results of the ecological risk assessment revealed that Cd poses the highest ecological risk of all the five heavy metals investigated.


Author(s):  
Fiza Sarwar ◽  
Zufishan Anjum ◽  
Noor Fatima ◽  
Muhammad Jahangir Khan ◽  
S. Umair Ullah Jamil ◽  
...  

Charsadda to Peshawar road is characterized with diverse surrounding environment of residential settlements,industrial zones, commercial and agricultural sectors along with heavy traffic route which is contributing to heavy metalpollution. This study is focused on heavy metals: Cadmium (Cd), Chromium (Cr) and Lead (Pb) contribution to theatmospheric pollution level. The heavy metals pollution assessment is carried out by sample collection (soil dust samplesand two vegetation species Cyperus esculentus and Cynodon dactylon) from ten sites along the road which were analyzedby using atomic absorption spectrometry (AAS). Average values of pollution index (PI) as well as average value ofpollution load index (PLI) for Cr, Cd and Pb in case of Cyperus esculentus, Cynodon dactylon and dust were calculated.Geo-accumulation index of roadside dust for Cr, Cd and Pb were estimated along with ecological risk due to roadsidedust using potential ecological risk index (RI). The analyses of this study suggest that the indices for the Cd metal foundto be of more concern than Cr or Pb which correspond to middle or low level of pollution. Statistical analysis revealedthat the three metals had a weak to moderate relationship with one another indicating multiple and somewhat similarsources of pollution.


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