scholarly journals Ecological risk assessment of heavy metals in road dust based on improved potential ecological risk index: A case study in Zhengzhou, China

2020 ◽  
Vol 194 ◽  
pp. 04042
Author(s):  
Huina Zhu ◽  
Liangbo Zhang ◽  
Hailiang Zhao ◽  
Baozhong Zhang ◽  
Hanyu Chen ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Road Dust ◽  
Potential Ecological Risk ◽  
Residual Fraction ◽  
Improved Method ◽  
Total Risk ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index

In order to analyze the ecological risk of the heavy metals in road dust. The improved potential ecological risk index was established. In the improved method, the toxicity of different chemical speciations of heavy metals were considered. Since residual fraction of Cd are non-toxic in the improved method, the results of the improved method were much lower than the traditional method.The results showed that the total risks of 3# and 15# were medium risk. The highest risk appeared on14# with the value 337.49, which belonged to high risk, and the total risk of the other sampling sites were low risk. Therefore, 14# should be the primary control site. The improved method established in this study is more scientific.

scholarly journals Historical Evolution of Sources and Pollution Levels of Heavy Metals in the Sediment of the Shuanglong Reservoir, China

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1855 ◽  
Author(s):  
Zike Zhou ◽  
Yongping Wang ◽  
Haowei Teng ◽  
Hao Yang ◽  
Aiju Liu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Content ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Heavy Metal Content ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Pollution Levels

In this study, the concentrations of seven heavy metals (Cr, Ni, Cu, Zn, As, Hg, and Pb) and Pb isotope in a sediment core from the Shuanglong reservoir, Southwestern China, were investigated. Based on the constant rate of supply (CRS) model, the age span of a 60 cm sediment sample was determined to range from the years 1944 to 2015. Combined with chronology and heavy metal content, the evolution of the sources and pollution levels of heavy metals showed a changing trend composed of various stages. The sources of heavy metals transitioned from natural origins in 1944–1964 to industrial origins in 1965–2004. The subsequent reduction in heavy metal content was mainly due to the vigorous implementation of environmental protection policies from 2005 to 2012. In recent years (2013–2015), the heavy metal content has increased due to frequent human activity. Principal component analysis (PCA), correlation analysis, and the coefficient of variation (CV) analysis indicated that Cr, Ni, Cu, Zn, and As were derived from natural processes, Pb mainly came from automobile manufacturing, and Hg was mainly from industrial sources. The values of the geo-accumulation index (Ig), single pollution index (Pi), and single potential ecological risk index (Er) showed that the contamination of Hg and Pb was slight to moderate. Moreover, the values of the potential ecological risk index (RI), pollution load index (PLI), and Nemerow index (PN) indicated that the Shuanglong reservoir is under low ecological risk.

scholarly journals Year over year comparison of sediment quality in the rivers of Eastern Slovakia

2020 ◽  
Vol 29 (3) ◽  
pp. 289-297
Author(s):  
Eva Singovszka ◽  
Magdalena Balintova
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Sediment Quality ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Sediment Samples ◽  
Better Than

Quality is one of the most important risk indicators in river basins. Therefore, monitoring and evaluating water and sediment quality has a very important role in process of risk management. The aim of the monitoring is provide for the sustainability of water bodies and these results are the basis for the risk management in the river catchment area. Hornad, Laborec and Poprad are the rivers in Eastern Slovakia. Hornad and Laborec belongs to basin of Danube and Poprad belongs to basin of Vistula. Sediment sampling was carried out according to ISO 5667-6. Monitoring was carried out in the spring on 2017–2018. The chemical composition of sediments was determined by means of X-ray fluorescence (XRF) using SPECTRO iQ II (Ametek, Germany, 2000). The results of sediment quality evaluated by method PERI revealed that the quality of sediment in 2018 was better than 2017. Results of XRF analysis of sediments were compared with the limited values according to the Slovak Act 188/2003 Coll. of Laws on the application of treated sludge and bottom sediments to fields. It can be state that limit values comparing with Slovak legislation were not exceeding in all sediment samples in rivers in Eastern Slovakia. Based on the monitoring data of sediment quality in the study area, a quantitative analysis of heavy-metal pollution in sediment was conducted using the method of potential ecological risk index (PERI) which is method for evaluate the potential ecological risk of heavy metals. It is based exclusively on chemical parameters of sediments because sediment data show mean integrated values in time, with higher stability than water column parameters; sediments are easily sampled at field work; sediment samples are more representative for time and space scales and analytical data are easily obtained, especially because sediments present high concentrations of contaminants, decreasing the possible errors due to detection limits of the applied analytical method. This method comprehensively considers the synergy, toxic level, concentration of the heavy metals and ecological sensitivity of heavy metals. Potential ecological risk index can be obtained using three basic modules: degree of contamination (CD), toxic-response factor (TR) and potential ecological risk factor (ER). The results show on the basis on potential ecological risk index that the quality of sediment in 2018 is better than 2017. The worst result shows Hornad in 2017. Significant improvement occurred at the sampling point S2 in Hornad in 2018. The best results show Laborec in 2018. The results show on the basis on potential ecological risk index that quality of sediment in 2018 is better than 2017.

Evaluation on Potential Ecological Risk of Heavy Metals in Soil of Yanjiao

2014 ◽  
Vol 1044-1045 ◽  
pp. 314-319
Author(s):  
Jing Yi Huang ◽  
Yu Wang ◽  
Zhi Rong Liu ◽  
Ying Zhang
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Single Factor ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Average Value ◽  
Risk Grade ◽  
Sample Points

The separate content of six types of heavy metals (Cd, Hg, Pb, As, Cu and Cr) in soil for Yanjiao area was evaluated in this article. Hakanson Potential ecological risk index was applied to analyze single factor potential ecological risk possibility and comprehensive ecological risk index regarding six types of pollution element in the soil. The result shows that the average value of potential ecological risk index sequences as Cd>Hg>Pb>Cu>As>Cr. The average ecological risk index of Cd is 44.90, which indicates that the soil ecological risk of the area is moderate. The average ecological risk index of other 5 types of heavy metals belongs to mild ecological risk grade. Based on the analysis of comprehensive ecological risk index, 15% of the sample points belong to the moderately ecological risk grade, and the rest 85% sample points belong to the lightly ecological risk grade. Among these elements, Cd and Hg contribute most to the ecological risk, and they are the major risk elements of the ecological risk.

Ecological Risk of Heavy Metals Pollution in Sediments of Beijiang River

2012 ◽  
Vol 518-523 ◽  
pp. 1137-1140 ◽  
Author(s):  
Hui Zhang ◽  
Min Gao ◽  
Ai Ming Song ◽  
Jia Jia Zhao ◽  
Ming Wei Song
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Index Method ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Beijiang River ◽  
Metals Pollution ◽  
Heavy Metals Pollution

As a result of rapid economic development and urbanization, water pollution and degradation of aquatic ecosystems have caused massive damage to the functions and integrity of water resources. The Hakanson potential ecological risk index method for heavy metals toxicity assessment have been used to estimate the ecological risk of Heavy Metals Pollution in Sediments of Beijiang River. The results shows that the average concentration of Cu, Pb, Zn, Ni, Cd, Cr, Hg in sediments is 59.72, 111.29, 218.93, 15.52, 5.70, 5.70 mg/kg, 0.32ug/kg respectively. The content of Hakanson potential ecological risk index of different heavy metals could be shown as Cd> Pb> Cu> Zn> Ni> Cr> Hg. Heavy metals in several samples of the sediments have posed a serious threat on the ecosystem.

scholarly journals Bioecological and statistical risk assessment of toxic metals in sediments of a worldwide important wetland: Gala Lake National Park (Turkey)

2017 ◽  
Vol 43 (1) ◽  
pp. 34-47 ◽  
Author(s):  
Cem Tokatli
Keyword(s):  
Ecological Risk ◽  
National Park ◽  
Risk Index ◽  
Sediment Quality ◽  
Potential Ecological Risk ◽  
Irrigation Canal ◽  
Anthropogenic Pressure ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Biological Risk

Abstract Gala Lake National Park that has an international importance is one of the most important wetland ecosystems for Turkey. As same as many aquatic habitats, Gala Lake is under a significant anthropogenic pressure originated from agricultural activities conducted around the lake and from industrial discharges by means of Ergene River. The aim of this study was to evaluate the sediment quality of Gala Lake and Irrigation Canal by investigating some toxic element accumulations (As, B, Ni, Cr, Pb, Cd, Zn and Cu) from a statistical perspective. Pearson Correlation Index (PCI) and Factor Analysis (FA) were applied to detected data in order to determine the associated contaminants and effective factors on the system. Potential Ecological Risk Index (RI) and Biological Risk Index based sediment quality guidelines (mERM-Q) applied to detected data in order to assess the ecological and biological risks of heavy metals in the ecosystem. Also Geographic Information System (GIS) technology was used to make visual explanations by presenting distribution maps of investigated elements. According to the results of PCI, significant positive correlations were recorded among the investigated toxic elements at 0.01 significance level. According to the results of FA, two factors, which were named as “Agricultural Factor” and “Industrial Factor”, explained 86.6% of the total variance. According to the results of Potential Ecological Risk Index, cadmium was found to be the highest risk factor and according to results of Biological Risk Index, nickel and chromium were found to be the highest risk factors for Gala Lake and Irrigation Canal. As a result of the present study, it was also determined that heavy metal contents in sediments of Gala Lake National Park reached to critical levels and the system is intensively under effect of agricultural and industrial originated pollution.

Distribution and Contamination Acessment of Heavy Metals in Sediments of Harbin Section of Songhua River, China

2014 ◽  
Vol 955-959 ◽  
pp. 2280-2284
Author(s):  
Kai Yue Gong ◽  
Pei Shi Qi ◽  
Yun Zhi Liu
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Risk Level ◽  
Index Method ◽  
Songhua River ◽  
Ecological Risk Index ◽  
Risk Levels ◽  
Accumulation Index

In this study, the distribution and enrichment characters of heavy metals were explored. And the potential ecological risk levels of heavy metals were evaluated by geo-accumulation index method and potential ecological risk index method. The concentrations of heavy metals in sediments of Harbin section of Songhua River are: Zn>Pb>Cr>Cu>Ni>Cd. The enrichment degree of Zn is the highest, while Cd is the lowest. The potential ecological risk indexes of heavy metals in the sediments of section of Songhua River in Harbin are: Cd>Pb>Cu>Zn>Ni>Cr. The main heavy metals pollution is Cd, which has low content but considerable potential ecological risk and contributes most to RI. The ecological risk level of heavy metals in the sediments of the section of Songhua River in Harbin is moderate.

scholarly journals Risk Assessment of Potentially Toxic Elements Pollution from Mineral Processing Steps at Xikuangshan Antimony Plant, Hunan, China

Processes ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Saijun Zhou ◽  
Renjian Deng ◽  
Andrew Hursthouse
Keyword(s):  
Ecological Risk ◽  
Toxic Elements ◽  
Risk Index ◽  
Pollution Index ◽  
Potential Ecological Risk ◽  
Potentially Toxic Elements ◽  
Hunan Province ◽  
Ecological Risk Index ◽  
Potential Ecological Risk Index ◽  
Dust Generation

We evaluated the direct release to the environment of a number of potentially toxic elements (PTEs) from various processing nodes at Xikuangshan Antimony Mine in Hunan Province, China. Sampling wastewater, processing dust, and solid waste and characterizing PTE content (major elements Sb, As, Zn, and associated Hg, Pb, and Cd) from processing activities, we extrapolated findings to assess wider environmental significance using the pollution index and the potential ecological risk index. The Sb, As, and Zn in wastewater from the antimony benefication industry and a wider group of PTEs in the fine ore bin were significantly higher than their reference values. The content of Sb, As, and Zn in tailings were relatively high, with the average value being 2674, 1040, and 590 mg·kg−1, respectively. The content of PTEs in the surface soils surrounding the tailings was similar to that in tailings, and much higher than the background values. The results of the pollution index evaluation of the degree of pollution by PTEs showed that while dominated by Sb, some variation in order of significance was seen namely for: (1) The ore processing wastewater Sb > Pb > As > Zn > Hg > Cd, (2) in dust Sb > As > Cd > Pb > Hg > Zn, and (3) surface soil (near tailings) Sb > Hg > Cd > As > Zn > Pb. From the assessment of the potential ecological risk index, the levels were most significant at the three dust generation nodes and in the soil surrounding the tailings reservoir.

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