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

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.

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1855 ◽  
Author(s):  
Zike Zhou ◽  
Yongping Wang ◽  
Haowei Teng ◽  
Hao Yang ◽  
Aiju Liu ◽  
...  

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.


2013 ◽  
Vol 726-731 ◽  
pp. 1809-1812
Author(s):  
Ji Cai Qiu

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.


Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 800
Author(s):  
Cong Xu ◽  
Jie Pu ◽  
Bo Wen ◽  
Min Xia

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.


Processes ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Saijun Zhou ◽  
Renjian Deng ◽  
Andrew Hursthouse

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.


2021 ◽  
Author(s):  
Bingyan Jin ◽  
Jinling Wang ◽  
Wei Lou ◽  
Liren Wang ◽  
Jinlong Xu ◽  
...  

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.


2021 ◽  
Vol 5 (2) ◽  
pp. 18-27
Author(s):  
Hayder Issa ◽  
Azad Alshatteri

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.


Filomat ◽  
2020 ◽  
Vol 34 (2) ◽  
pp. 623-630
Author(s):  
Fusun Yalcin

This research was conducted on beach sands in East of Antalya city. The samples collected from 47 locations in the target area were investigated for the existence of possible heavy metal anomaly. The heavy metal contents of the samples were evaluated using categorization of Pollution Index, Enrichment Factor, Potential Ecological Risk, Toxicity Risk Index and statistical applications. Samples were distinguished in different groups of close similarities based on the statistical specifications. There was unequal distribution of elements. Ca, Cr, Fe, Ti and Pb were anomalously concentrated in some samples. Cr, Pb, and Cu showed contaminated and high risk level in some samples. The occurrence of high Cr concentration is thought to be mostly influence by natural activities while Pb and Cu are thought to be mostly due to anthropogenic influence.


Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1798
Author(s):  
Lujie Shui ◽  
Xiaojie Pan ◽  
Xiaojuan Chen ◽  
Fengyi Chang ◽  
Duanji Wan ◽  
...  

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.


2014 ◽  
Vol 1073-1076 ◽  
pp. 716-725
Author(s):  
Hong Xia Yan ◽  
Jun Wei Ma ◽  
Yan Zhong Liu ◽  
Yu Qing Ren

Soil samples from 6 sampling sites along 5 depths (0, 10, 20, 30, 40cm) were collected from an rural dumpsite in Hebei Province. The heavy metal (As, Cr, Cd, Pb, Cu, Zn) concentration were measured by inductively coupled plasma atomic absorption spectrometry (ICP/AES) in order to study the spatial distribution and assess their risk by the geoaccumulation index and potential ecological risk index. It was found that the mean concentrations of Cd, Pb, Cu were higher than the elemental background values in Hebei Province. The spatial distribution show that the longer stacking area had heavier heavy metal pollution in deeper soil due to long-term penetration of leachate and new stacking area had heavier pollution in surface soil. However, the geoaccumulation index and potential ecological risk index values show that most sites of the studied soils is in uncontaminated or low contaminated level. The potential ecological risk index values in the dumpsite were, in descending order, Cd > Cu > Pb > As > Cr > Zn, respectively, implying that Cd, Cu, Pb posed a higher hazard to human and ecosystem health. It was recommended that some measures were required to reduce heavy metal contents in soils caused by garbage dump.


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