Ecological Risk Assessment of Heavy Metal in the Bottom Sediment of River Surma, Bangladesh using Monte Carlo Simulation and Multivariate Statistical Analysis.

2021 ◽  
Author(s):  
Arup Acharjee ◽  
Zia Ahmed ◽  
Rafiul Alam ◽  
Md. Safiur Rahman ◽  
Zhixiao Xie
Keyword(s):  
Heavy Metals ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ecological Risk ◽  
Risk Index ◽  
Single Point ◽  
Evaluation Process ◽  
Atomic Absorption Spectrophotometry ◽  
Cumulative Probability ◽  
Multivariate Statistical

Abstract The study aims to achieve an accurate assessment of 7 heavy metals, including Cu, Fe, Mn, Zn, Ni, Pb and Cd. Data were collected from 15 sampling stations and analyzed by atomic absorption spectrophotometry. The potential detrimental effects of these heavy metals were evaluated by Hakanson risk index. Hakanson risk index (RI) and Monte Carlo Simulation (MCS) and the ecological risk were articulated as probability distribution of Risk Index values instead of single point values to estimate the uncertainties in the risk evaluation process. The results showed that the levels of SEF (sediment enrichment factor) in the sediments were in the following order: Ni > Pb > Cd > Mn > Cu > Zn. Geo-accumulation index (Igeo) values showed no pollution for most of the metals except Ni, which portrayed the sediment was moderately contaminated and may have adverse effects on the ecology of the river. RI values from Hakanson Risk Index showed each individual station are at low ecological risks throughout the study area. According to the Monte Carlo simulation results and the traditional Hakanson risk index, the cumulative probability of Risk Index (RI) values is less than 150, which, according to the Hakanson risk index, represents low ecological risk. From the sensitivity analysis, the comparatively highest contribution to variance can be ranked as Cd > Pb > Ni > Zn > Cu. The outputs of this study could be used to assess ecological risk near urban area river sediment and help predict how the disposal of domestic sewage will affect the riverine ecosystem.

scholarly journals Assessment of the Ecological Risk from Heavy Metals in the Surface Sediment of River Surma, Bangladesh: Coupled Approach of Monte Carlo Simulation and Multi-Component Statistical Analysis

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 180
Author(s):  
Arup Acharjee ◽  
Zia Ahmed ◽  
Pankaj Kumar ◽  
Rafiul Alam ◽  
M. Safiur Rahman ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
River Sediment ◽  
Risk Index ◽  
Pollution Level

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.

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 Ecological risk analysis of heavy metals in farmland soil based on Monte Carlo simulation

2020 ◽  
Vol 601 ◽  
pp. 012041
Author(s):  
Huina Zhu ◽  
Weiqin Xing ◽  
Liangbo Zhang ◽  
Baozhong Zhang ◽  
Fan Shi ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Risk Analysis ◽  
Ecological Risk ◽  
Farmland Soil ◽  
Ecological Risk Analysis

scholarly journals Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations

Molecules ◽  
2019 ◽  
Vol 24 (11) ◽  
pp. 2145 ◽  
Author(s):  
Sanja Sakan ◽  
Nenad Sakan ◽  
Aleksandar Popović ◽  
Sandra Škrivanj ◽  
Dragana Đorđević
Keyword(s):  
Monte Carlo ◽  
Ecological Risk ◽  
Toxic Elements ◽  
Risk Index ◽  
Single Point ◽  
Extraction Procedure ◽  
Environmental Concerns ◽  
Potential Toxic Elements ◽  
Risk Levels ◽  
Geochemical Fractionation

The need for further research into potentially toxic elements in Serbian rivers led to an investigation of distributions, sources, and ecological risks in a sample base of sediments from 15 rivers. The analyses were carried out through both experimental and theoretical methods. Geochemical fractionation of Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, As, V, and Zn in sediments was studied using a sequential extraction procedure. Both a Håkanson risk index (RI) and a Monte Carlo simulation (MCS) were used in order to estimate ecological risk, applying the probability distribution of RI values instead of single-point calculations. In order to both further the development of the used method and include additional processes, software for the simulations was developed instead of using proprietary solutions. Metal fractionation showed high percentage recoveries of Cd, Cr, Co, Cu, Fe, Ni, and V in residual fractions. The high content of Pb, Mn, and Zn in mobile fractions might cause serious environmental concerns. In some localities, Cu and Cd could be problematic elements, since their mobility was high. An environmental assessment based on the described criteria provided risk levels varying from low to median (mainly contributed by Cd and Cu).

scholarly journals Assessment of heavy metals contamination and associated risks in shallow groundwater sources from three different residential areas within Ibadan metropolis, southwest Nigeria

2021 ◽  
Vol 11 (5) ◽  
Author(s):  
Saheed Adekunle Ganiyu ◽  
Abimbola Temitope Oyadeyi ◽  
Azeem Adedeji Adeyemi
Keyword(s):  
Heavy Metals ◽  
Cancer Risk ◽  
Urban Area ◽  
Ecological Risk ◽  
Water Samples ◽  
Risk Index ◽  
Shallow Groundwater ◽  
World Health ◽  
Southwest Nigeria ◽  
The Mean

AbstractThis study has been conducted to appraise the concentrations of selected heavy metals and total dissolved solids (TDSs) in the drinking water from shallow wells in parts of Ibadan metropolis, southwest Nigeria. Fifteen (15) water samples were collected from three representative residential locations [traditional core area (TCA), peri-urban area (PUA), and urban area (UA)] for geochemical analysis. Heavy metals and TDS were analyzed with the aid of atomic absorption spectrophotometer and calibrated meter, respectively. The mean concentration (mg/L) of Zn, Pb Mn, Fe, and Cd has been 3.930, 0.658, 0.0304, 1.698, and 0.501, respectively, and as a consequence, the order of abundance of studied metals was Zn > Fe > Pb > Cd > Mn. Concentrations of Zn, Fe, Pb, and Cd were higher than recommended standards in 60%, 86.7%, 100%, and 100% of groundwater samples, respectively. However, at all points tested, the mean concentrations of Mn and TDS in water samples lie within the safe limits set by World Health Organization. The evaluation of geoaccumulation index (Igeo), enrichment factor (EF), and contamination factor suggests that representative water samples were low-to-moderate contamination. The potential ecological risk index advocates low-to-moderate ecological risk in TCA and PUA, while it demonstrated exclusive “moderate” risk in UA. Further, the range of pollution load index (PLI) (0.55–1.32) in both TCA and PUA shows nil-to-moderate pollution status, while PLI values > 1 in UA indicate moderate contaminated state. The degree of contamination in groundwater showed the following trends: UA > TCA > PUA in the study area. Moreover, the results of EF and quantification of contamination of analyzed metals in water samples indicate geogenic and anthropogenic inputs. The contribution of studied metals to the incidence of non-cancer risk via oral intake within the residential sites follows the order: cadmium > lead > zinc > iron > manganese. The hazard index as a result of ingested heavy metals for the three population classes surpasses the acceptable range in the order of infant < child < adult. Cadmium and lead made considerable impact to the estimation of cancer risk in the study area for the three human population categories. Factor analysis extracted only one component that explained 94.64% of the entire variance, while cluster analysis identified three distinct groups based on similar water quality characteristics. Based on the findings of the study, awareness programs toward protecting the shallow groundwater sources should be launched, encouraged, and sustained. Moreover, the study suggests better hygienic practices and pre-treatment of contaminated water before consumption.

scholarly journals Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Risk Index ◽  
Urban River ◽  
Ecological Risks ◽  
Background Values ◽  
Potential Factors

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.

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.

scholarly journals Reforestation Impacted Soil Heavy Metal Fractionation and Related Risk Assessment in the Karst Area, Southwest China

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 891
Author(s):  
Qian Zhang ◽  
Guilin Han ◽  
Xingliang Xu
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Ecological Risk ◽  
Southwest China ◽  
Risk Index ◽  
Contamination Factor ◽  
Karst Area ◽  
Risk Assessment Code ◽  
Bcr Sequential Extraction ◽  
Soil Heavy Metals

Human agricultural activities have resulted in widespread land degradation and soil contamination in the karst areas. However, the effects of reforestation after agricultural abandonment on the mobility risks and contamination of heavy metals have been rarely reported. In the present study, six soil profiles were selected from cropland and abandoned cropland with reforestation in the Puding karst regions of Southwest China. The Community Bureau of Reference (BCR) sequential extraction method was used to evaluate the compositions of different chemical fractions of soil heavy metals, including Fe, Mn, Cr, Zn, Ni, and Cd. The total contents of Cr, Ni, Zn, Cd, and Mn in the croplands were significantly higher than those in the abandoned croplands. For all soils, Cr, Ni, Zn, and Fe were mainly concentrated in the residual fractions (>85%), whereas Mn and Cd were mostly observed in the non-residual fractions (>65%). The non-residual fractions of Cd, Cr, Ni, and Zn in the croplands were higher than those in the abandoned croplands. These results indicated that the content and mobility of soil heavy metals decreased after reforestation. The individual contamination factor (ICF) and risk assessment code (RAC) showed that Cd contributed to considerable contamination of karst soils. The global contamination factor (GCF) and potential ecological risk index (RI) suggested low contamination and ecological risk of the investigated heavy metals in the croplands, moreover they can be further reduced after reforestation.

scholarly journals GEOCHEMISTRY AND ENVIRONMENTAL ASSESSMENT OF HEAVY METALS IN SURFACE SOIL IN AL-HAWIJA, SOUTHWEST KIRKUK

2020 ◽  
Vol 53 (2E) ◽  
pp. 36-61
Author(s):  
Ahmed Al-Obeidi
Keyword(s):  
Heavy Metals ◽  
Soil Pollution ◽  
Ecological Risk ◽  
Inductively Coupled Plasma ◽  
Surface Soil ◽  
Risk Index ◽  
Size Fraction ◽  
Contamination Factor ◽  
Pollution Load Index ◽  
Anthropogenic Sources

Soil pollution adversely affects the safety and health of the human being. The main objective of the study is to determine the concentrations of heavy metals (As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb and Zn) in surface soil in Al-Hawija, southwestern Kirkuk. Twenty-one samples were collected and analyzed by inductively coupled plasma-mass spectrometry (ICP-MS) to measure the content of heavy metals and assess the soil pollution by using the contamination factor, degree of contamination, geoaccumulation index, pollution load index and ecological risk index (RI). The results indicate that there is high pollution by lead, chromium and copper (78.8, 87.4 and 53.8 mg/kg) respectively, in industrial areas due to anthropogenic sources with the presence of significant ecological risk (Er) of the lead (116) in site S7, due to its high concentrations, while size fraction analysis indicated that all heavy metals are concentrated in the fine parts as a result of adsorption processes by clay minerals.

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