scholarly journals Potential Ecological Risks of Heavy Metals in Agricultural Soil Alongside Highways and Their Relationship with Landscape

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 800
Author(s):  
Cong Xu ◽  
Jie Pu ◽  
Bo Wen ◽  
Min Xia
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Human Activities ◽  
Agricultural Soil ◽  
Risk Index ◽  
Pollution Index ◽  
Potential Ecological Risk ◽  
Ecological Risks ◽  
Ecological Risk Index

The agricultural soil alongside highways has experienced multiple potential ecological risks from human activities. In this study, 100 soil samples near the highways were collected in Lishui District, Nanjing City. Using the single-factor pollution index, the Nemerow comprehensive pollution index, and the potential ecological risk index, the study investigated the heavy metal contents and distribution in roadside agricultural soil. PCA and a multiple regression model were applied to quantitatively analyze the spatial relationships between sampling soil heavy metal accumulation and the surrounding man-made landscape. The mean contents of Cu and Pb exceeded the background, while Cd, Cr, and Zn were lower than that. The potential ecological risk index exhibited a very low ecological hazard and only Cr in soils rarely showed moderate risk. Furthermore, quantitative analysis for the sources of contamination revealed that agricultural practices were the dominant contributors to the heavy metals, including Cd, Cu, and Zn, while road and heavy industrial practices contributed to Cr and Pb. The study provides sources of heavy metal pollution from human activities in roadside agricultural land and serves as a reference for ecological restoration.

The Contamination Status of Heavy Metal in the Sediment of Beng River and the Protection for the Ecological Safety Engineering

2013 ◽  
Vol 726-731 ◽  
pp. 1809-1812
Author(s):  
Ji Cai Qiu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
River Sediment ◽  
Risk Index ◽  
Pollution Index ◽  
Potential Ecological Risk ◽  
Sediment Pollution ◽  
Ecological Risk Index ◽  
Rubber Dam

To find out the heavy metal pollution condition from the Beng River sediment, we see the region from Beng River Rubber Dam to the Yimeng Road Bridge as research object.We monitored and surveyed on the three kinds of metal components (Cu, Zn, Cd) in the sediments from eight sectionsthe. With reference to the relevant domestic standards, we established sediment pollution evaluation criteria suitable for the region., We conducted the evaluation of ecological risk and pollution levels with the detection results by standard index of the potential ecological risk index and Nemerow France France. The results showed that: the heavy metals ecological risk index in Sediment from Beng River Rubber Dam to the Yimeng Road bridge section, Nemerow pollution index was 6.95, It was heavily polluted. This showed that the heavy metals in river sediment pollution was very serious.

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 Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbso Kaifeng, China

2021 ◽  
Author(s):  
Bingyan Jin ◽  
Jinling Wang ◽  
Wei Lou ◽  
Liren Wang ◽  
Jinlong Xu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Industrial Activities ◽  
Geo Accumulation

Abstract Rivers in urban environments are significant components of their ecosystems but remain under threat of pollution from unchecked discharges of industrial sewage and domestic wastewater. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate, that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd > Zn > Cu > Pb > Ni > As > Cr. The potential ecological risk index of the Huafei river is very high, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in the Huafei River and its surrounding areas.

scholarly journals Source Identification, Ecological Risk and Spatial Analysis of Heavy Metals Contamination in Agricultural Soils of Tanjaro Area, Kurdistan Region, Iraq

2021 ◽  
Vol 5 (2) ◽  
pp. 18-27
Author(s):  
Hayder Issa ◽  
Azad Alshatteri
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Pollution Index ◽  
Potential Ecological Risk ◽  
Soil Samples ◽  
Anthropogenic Sources ◽  
Emission Spectrometry ◽  
Kurdistan Region ◽  
Ecological Risk Index

The current work accomplished a comprehensive evaluation of heavy metals pollution in soil of agricultural areas from Tanjaro sub-district, Sulaimaniyah province, Kurdistan Region, NE Iraq. Ninety soil samples were collected from thirty different locations. Concentrations of 16 heavy metals were measured by inductively coupled plasma optical emission spectrometry ICP-OES. The pollution index (PI), potential ecological risk index (Er), enrichment factor (EF), and ecological risk index (RI) were used to assess the pollution in soil samples. High levels of Li and Ni, and moderate Ba, Cd, Hg, and Pb according to the results of concentration analysis, pollution index (PI), and potential ecological risk (ERI). High levels of Cd and Hg according to the results of Er. Agglomerative hierarchical clustering (AHC) and principal component analysis (PCA) suggested that heavy metals were generated from different natural and anthropogenic sources like natural weathering, fertilizer application, and transportation. Origins of Hg, Cd, Ni, and Pb are probably from activities like overuse of pesticides and fertilizers, whereas Pb could be exhausted from vehicle exhausts as well. Furthermore, spatial distributions revealed nonpoint source pollution for the studied heavy metals. The obtained results help in the remediation techniques of contaminated soils such as dilution with decontaminated soil or extraction or separation of heavy metals.

scholarly journals Pollution Characteristics and Ecological Risk Assessment of Heavy Metals in Sediments of the Three Gorges Reservoir

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1798
Author(s):  
Lujie Shui ◽  
Xiaojie Pan ◽  
Xiaojuan Chen ◽  
Fengyi Chang ◽  
Duanji Wan ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Cluster Analysis ◽  
Ecological Risk ◽  
Three Gorges Reservoir ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Three Gorges ◽  
Ecological Risk Index ◽  
The Three Gorges

In order to understand the spatial distribution and ecological risk of heavy metal pollution in the sediments of the Three Gorges Reservoir, surface sediment samples in six typical tributaries and estuaries were analyzed. The heavy metal content in sediment was detected by ICP-MS (PE Elan DRC Ⅱ, PerkinElmer, Waltham, MA, USA) after digestion by mixed acid. The data were evaluated and analyzed using multiple methods, including the potential ecological risk index, the geoaccumulation index (Igeo), and cluster analysis. The results show that the tributary surface sediments were polluted by heavy metals to a certain extent. Cu, Zn, Pb, and Cr have been enriched in sediments in recent years. The results of Igeo show that the pollution degree is as follows: Pb > Cu > Zn > Cr > Cd > Ni > As > Hg. According to the potential ecological risk index, the grades of Yunyang, Xiaojiang, and Xinjin are all medium risk, and Cd has the highest contribution rate. Combined with field investigation data, cluster analysis, and correlation analysis, we conclude that Cu, Zn, and Cr are likely to come from agricultural chemical fertilizers and industrial sewage, while Pb mainly comes from the discharge of ship fuel.

Effects of Sediment Dredging on Heavy Metal Removal in Dianchi Lake, China

2013 ◽  
Vol 726-731 ◽  
pp. 1654-1658 ◽  
Author(s):  
Qiang Li ◽  
Jia Li Zhou ◽  
Ying Wang ◽  
Hui Li ◽  
Bin Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Content ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Dianchi Lake ◽  
Ecological Risks ◽  
Sediment Dredging ◽  
Ecological Risk Index

The heavy metals (Pb, Zn, Cu, Cd, Cr) and metalloid (As) in surface sediments and water samples from un-dredged and dredged areas in Dianchi Lake had been analyzed to investigate the removal efficiency of sediment dredging. Potential ecological risk index (RI) and simplified geoaccumulation risk index (Igeo) were used to assess the heavy metals accumulation and ecological risks. The results indicated that Pb2+, Zn2+, Cu2+, Cd2+, Cr2+ and As3+ were not detected in water of Dianchi Lake, and the heavy metal content of surface sediments in Caohai Lake was in the order of Zn2+>Pb2+>Cu2+>As3+>Cr2+>Cd2+, and that in Waihai Lake was in the order of Zn2+>Pb2+>Cu2+>Cr2+>As3+>Cd2+. Through comparing the heavy metal content in sediments from un-dredged and dredged areas, pollutants reduced after sediment dredging, which can be reflected by the Igeo values too. Potential ecological risk index showed that the potential ecological risks were at low level in Dianchi Lake after sediment dredging.

scholarly journals Characteristics and Potential Ecological Risks of Heavy Metal Pollution in Surface Soil Around Coal-fired Power Plant

2021 ◽  
Author(s):  
yunhu hu ◽  
mu you ◽  
Guijian Liu ◽  
zhongbing dong
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Power Plant ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Heavy Pollution

Abstract The concentrations of heavy metals (As, Cd, Cr, Cu, Hg, Mn, Pb and Zn) in surface soils in the area surrounding a coal-fired power plant in China were measured, the distribution characteristics of heavy metals in different wind directions were analyzed, and the pollution degree of heavy metal in soil was evaluated. The soil around the power plant is generally polluted by heavy metals, and the degree of pollution is heavy pollution and moderate pollution. The potential ecological hazard of heavy metals in soil is moderate or slight. The values of Nemerow index and potential ecological risk index are different among different directions and different distances from the power plant. Cd, Hg and As are the mainly contributors for the potential ecological risk. The results revealed that wind direction is important for the distribution of heavy metal around coal-fired power plant. The study can provide a theoretical basis for the prevention and management of soil heavy metal pollution around coal-fired power plant.

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments From the Huafei River in the Eastern Suburbs of Kaifeng, China

2021 ◽  
Author(s):  
Bingyan Jin ◽  
Jinling Wang ◽  
Wei Lou ◽  
Liren Wang ◽  
Jinlong Xu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Industrial Activities ◽  
Geo Accumulation

Abstract Rivers in urban environments are significant components of their ecosystems, but remain under threat of pollution from unchecked discharges of industrial sewage and domestic waste water. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd>Zn>Cu>Pb>Ni>As>Cr. The potential ecological risk index of the Huafei river is extremely strong, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in Huafei River and its surrounding areas.

scholarly journals Environmental Risk Evaluation and Source Identification of Heavy Metal(loid)s in Agricultural Soil of Shangdan Valley, Northwest China

2020 ◽  
Vol 12 (14) ◽  
pp. 5806
Author(s):  
Sukai Zhuang ◽  
Xinwei Lu
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Risk Index ◽  
Pollution Index ◽  
Northwest China ◽  
Potential Ecological Risk ◽  
Source Analysis ◽  
Multivariate Statistic ◽  
Ecological Risk Index ◽  
Pollution Levels

To understand the environmental quality and heavy metal(loid) pollution of farmlands in Shangdan Valley, the contents of macroelements (Na, K, Si, Mg, Ca, Al, Fe, Ti, P, S, Cl, Br) and heavy metal(loid)s (Cu, Pb, Zn, Mn, Ni, V, Co, Cr, As) were surveyed by the X-ray fluorescence method. The pollution degree and ecological risk of the heavy metal(loid)s were judged by the Nemerow synthetic pollution index, geo-accumulation index, and potential ecological risk index, and their sources were identified by the multivariate statistic method. The mean contents of nine heavy metal(loid)s in Shangdan Valley farmland soil exceeded their corresponding reference values. Soils were not contaminated with As, Cr, Mn, and Ni but were slightly contaminated with Co, Cu, Pb, V, and Zn. Their comprehensive pollution levels were moderate to serious. The ecological risk index of single heavy metal(loid) decreased in the sequence As > Pb > Co > Cu > Ni > V > Zn > Cr > Mn. The source analysis results indicated that Cu, Pb, Zn, and As were highly affected by anthropogenic inputs, e.g., metal smelting and agricultural activities, while Mn, Ni, Cr, and V were principally derived from a natural source. As for Co, it was affected by a mixture source of nature, fossil fuel combustion, and fertilizer.

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.

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