Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China

Tian, Kang; Huang, Biao; Xing, Zhe; Hu, Wenyou

doi:10.1016/j.ecolind.2016.08.037

Cited by 249 publications

(94 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The content of heavy metals in the agricultural soils is a matter of great apprehension due to their accumulative and nondegradable characteristics (Facchinelli, Sacchi, & Mallen, 2001). The pollution of heavy metals in agricultural soils was studied all over the world, including Iran, which is the main issue regarding the possibility of metal absorption by food Tian, Huang, Xing, & Hu, 2017;Zhang et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…In order to determine the pollution and ecological risks of heavy metals, various indices were applied. Scientists applied various factors, i.e., contamination factor (CF), enrichment factor (EF), geoaccumulation index (Igeo), ecological risk index (RI), and modified ecological risk index (MRI) for assessment of pollution and ecological risks (Ahmed et al, 2016;Kumar, Sharma, Minakshi, Bhardwaj, & Thukral, 2018;Tian et al, 2017). The EF and Igeo are based on relative assessment of heavy metals in polluted and unpolluted soil conditions Sakram, Machender, Dhakate, Saxena, & Prasad, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Keshavarzi

Kumar

2019

Geology, Ecology, and Landscapes

View full text Add to dashboard Cite

Illustrating the spatial distribution and potential sources of soil properties, and heavy metals, viz., Fe, Zn, Mn, and Cu, are the vital prerequisites for decreasing their pollution. The 68 composite agricultural soil samples in triplicates were collected by employing grid method to evaluate the concentration of pH, sand, silt, clay, organic carbon, P, K, and heavy metals. Multivariate techniques (Pearson's correlation, heatmap, principal component analysis, and nonmetric multidimensional scaling), geostatistcal techniques, and contamination indices were employed. The contents of Fe, Zn, Mn, and Cu were lower than the limits for Iran EPA guidelines and Earth's crust. The results of contamination factor and potential ecological risk index (RI) showed that agricultural soils have less contamination and low ecological risks. The enrichment factor (EF), geoaccumulation index (Igeo) and modified ecological risk index (MRI) indicated that 99%, 86.7% and 52.4% agricultural soil samples showed very high enrichment and ecological risks of heavy metals. Both anthropogenic activities and natural factors were responsible for heavy metal contents. The results of geostatistcal analysis revealed that Zn is accumulated more in Central regions, whereas Cu and Mn accumulated more in South and Northeastern regions of the studied area for EF, Igeo, and modified potential ecological RI. ARTICLE HISTORY

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Keshavarzi

Kumar

2019

Geology, Ecology, and Landscapes

View full text Add to dashboard Cite

show abstract

“…Subsoil samples (150-200 cm) were utilized to estimate the baseline concentrations of HMs in this study because they are largely unaffected by human activities. Furthermore, baseline concentrations were determined by applying the cumulative frequency distribution (CFD) curves 15 . Kolmogorov-Smirnov (K-S) test was performed to verify the content distribution of each HM before plotting the CFD curves 26,28 .…”

mentioning

confidence: 99%

“…And then the linear part of the CFD curve between the two inflection points is then applied to identify the baseline content of each HM. In this research, the inflexions in a curve were defined under the linear regression criteria for P < 0.05 and R 2 > 0.95, and the extreme values were removed until the rest of data met the criteria of linearity 15 .…”

mentioning

confidence: 99%

Characterizing pollution and source identification of heavy metals in soils using geochemical baseline and PMF approach

Jiang

Cai

Wen³

et al. 2020

Sci Rep

View full text Add to dashboard Cite

It is necessary to establish local geochemical baseline concentrations (GBCs) due to the lack or the inapplicability of regional background values in the study area. The establishment of GBCs of heavy metal (HM) in soil helps in making the accurate assessment of pollution, and then provides a basis for pollution control. Based on this, a case study was undertaken to study the GBCs of the Jiedong District, Guangdong Province, China. In this research, cumulative frequency distribution curves were utilized to determine the local GBCs in the subsoils. The determined GBCs of Cr, Hg, As, Pb, Ni, Cd, Cu, Zn, Co and V were 39.91, 0.072, 11.48, 47.62, 12.70, 0.17, 14.22, 64.54, 6.31, and 68.14 mg/kg, respectively. The average concentrations of Hg, As, Pb, Cd, Cu and Zn in the topsoils exceeded the corresponding baseline concentrations. In particular, the contents of Cd and Hg were 1.53 and 2.22 times higher than GBCs. According to this baseline criterion, enrichment factor (EF), pollution load index (PLI) and ecological risk index (RI) were applied to assessing HM pollution. EF and PLI suggested that most areas were under moderate contamination, while Hg and Cd pollution was more serious. And the RI values presented that the potential ecological risks were low in most parts of the study area. The possible origins of HMs were identified by combining positive matrix factorization with EF and geostatistics. Comprehensive analysis indicated that Hg and Cd were related to industrial activities, such as textile and garment processing, plastic and rubber production and metal manufacturing. Arsenic and part of Cu mainly came from agricultural activities, namely the use of pesticides, fertilizers and livestock manures. Lead and Zn were mainly attributed to traffic emissions. Chromium, Ni, V, Co, and part of Cu were originated from natural source controlled by parent materials. The corresponding contributions of these sources were 20.61%, 24.20%, 19.22% and 35.97%, respectively. This work provides information to prevent and control the soil HM pollution by proposing the efficient management of anthropogenic sources.In recent years, soil pollution has become increasingly severe due to rapid industrialization and the increase of urban population 1-3 . Soil heavy metal (HM) pollution has received wide concern owing to the strong toxicity, bioavailability and persistence of HMs 4 . The high content of HMs in soil not only directly affects nutrients, structure and function of soil, reduces the biological activity of soil, but also adversely affects food quality and human health 5,6 . HMs in the soil pose a grave threat to human body through skin contact, inhalation and ingestion 7 . For example, cadmium can cause cardiovascular and cerebrovascular diseases and renal dysfunction 8 . Long-term exposure to lead-contaminated environments can result in serious damage to nerves, hematopoietic systems, and kidneys 9 . Therefore, HM pollution in soil is particularly concerned worldwide and urgently needs to be resolved.Determining the pollution...

show abstract

“…The RGB model was regarded as an effective tool to differentiate between anthropogenic and natural sources in soils or sediments [17,18,24]. In this study, the RGB model was used to distinguish between anthropogenic and natural Pb sources in 7-m long sediment core.…”

Section: Establishment Of Pb Geochemical Baseline In Sediment Corementioning

confidence: 99%

Lead Isotopes Combined with Geochemical Baseline in Sediments: A Novel Tool to Trace Anthropogenic Pb Sources

Gao

2020

IJERPH

View full text Add to dashboard Cite

Traditional Pb isotopic identification only based on total Pb concentration and Pb isotopic ratios, resulted in difficulty for tracing Pb sources in the complex environmental medium, especially for sediment. Herein, a novel approach combining with regional geochemical baseline (RGB) and Pb isotopic ratios are used to directly trace anthropogenic Pb sources and calculate Pb source appointments in sediment. In this study, total Pb concentrations and isotopic ratios were analyzed for a 7-m long sediment core (92 sediment samples) collected from a reservoir. RGB of Pb was used to calculate anthropogenic Pb concentrations (R d ), their contributions (C Rd ) and screen the sediments influenced by anthropogenic activities. Among those sediments influenced by anthropogenic activities, a positive correlation was found between 206 Pb/ 207 Pb ratios and R d , indicating there were two anthropogenic Pb sources in sediment. Further source identification using 206 Pb/ 207 Pb and 208 Pb/ 207 Pb indicated that these two anthropogenic Pb sources originated from coal consumption and aerosol input. Finally, C Rd and Pb isotopic ratios were used to calculate these two Pb source appointments (1.13% for coal consumption and 7.53% for aerosol input). This study demonstrated that source identification using RGB and Pb isotopes could be a novel attempt for identifying anthropogenic Pb sources in sediment.the natural weathering of parent rocks and anthropogenic sources (e.g., gasoline, coal combustion, mining activities, and industrial emissions) [8]. In fact, strong efforts to identify metal pollution sources entering the aquatic ecosystems have been attempted in the past several decades (e.g., principal component analysis, clustering analysis, and multivariate statistical analysis) [9][10][11]. These traditional methods usually require large databases and sophisticated statistics and cannot be used to accurately identify the potential origins of trace metals [12]. Pb's stable isotope is one of the most powerful isotopic fingerprinting tools to differentiate the various sources of Pb among complex environmental matrices [12]. Nevertheless, due to the high complexity and heterogeneity of the sediments, it was difficult to trace Pb sources only by establishing the relationship between the total Pb concentrations and their corresponding Pb isotopic ratios [12,13]. Based on these reasons, a new development in the application of Pb isotopes is needed to coordinate with other information, including the geographic information system (GIS) mapping, other elements' isotopes, and so on [14][15][16]. In recent years, the regional geochemical baseline (RGB) of trace metals has been recognized as a useful tool to distinguish between trace metals from anthropogenic input and natural sources [17,18]. In fact, the essence of the source identification of Pb pollution is to identify the anthropogenic Pb sources. Assuming that there was a direct relationship between anthropogenic input information and these corresponding Pb isotopic ratios, this would prov...

show abstract

Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China

Cited by 249 publications

References 68 publications

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Characterizing pollution and source identification of heavy metals in soils using geochemical baseline and PMF approach

Lead Isotopes Combined with Geochemical Baseline in Sediments: A Novel Tool to Trace Anthropogenic Pb Sources

Contact Info

Product

Resources

About