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Wang M, Gou Z, Zhao W, Qu Y, Chen Y, Sun Y, Cai Y, Ma J. Predictive analysis and risk assessment of potentially toxic elements in Beijing gas station soils using machine learning and two-dimensional Monte Carlo simulations. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135393. [PMID: 39106722 DOI: 10.1016/j.jhazmat.2024.135393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 06/27/2024] [Accepted: 07/30/2024] [Indexed: 08/09/2024]
Abstract
Gas stations not only serve as sites for oil storage and refueling but also as locations where vehicles frequently brake, significantly enriching the surrounding soil with potentially toxic elements (PTEs). Herein, 117 topsoil samples from gas stations were collected in Beijing to explore the impact of gas stations on PTE accumulation. The analysis revealed that the average Pollution Index (PI) values for Cd, Hg, Pb, Cu, and Zn in the soil samples all exceeded 1. The random forest (RF) model, achieving an AUC score of 0.95, was employed to predict PTE pollution at 372 unsampled gas stations. Additionally, a Positive Matrix Factorization (PMF) model indicated that gas station operations and vehicle emissions were responsible for 70 % of the lead (Pb) enrichment. Probabilistic health risk assessments showed that the carcinogenic risk (CR) and noncarcinogenic risk (NCR) for PTE pollution to adult females were the highest, at 0.451 and 1.61E-05 respectively, but still within acceptable levels. For adult males at contaminated sites, the Pb-associated CR and NCR were approximately twice as high as those at uncontaminated sites, with increases of 107 % and 81 %, respectively. This study provides new insights for managing pollution caused by gas stations.
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Affiliation(s)
- Meiying Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zilun Gou
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wenhao Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yajing Qu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Ying Chen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yi Sun
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yuxuan Cai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jin Ma
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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Cakaj A, Drzewiecka K, Hanć A, Lisiak-Zielińska M, Ciszewska L, Drapikowska M. Plants as effective bioindicators for heavy metal pollution monitoring. ENVIRONMENTAL RESEARCH 2024; 256:119222. [PMID: 38795949 DOI: 10.1016/j.envres.2024.119222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 05/28/2024]
Abstract
This study investigated the bioindicator potential of Amaranthus retroflexus L., Plantago lanceolata L., Rumex acetosa L., and Trifolium pratense L. including the use of Lolium multiflorum L. as a reference species, for heavy metal pollution monitoring, in particular Zinc (Zn), Cadmium (Cd), Nickel (Ni), and Lead (Pb). Controlled heavy metal contamination was applied through irrigation with metal nitrate solutions two levels of contamination (low and high). The study also focused on analyzing heavy metals concentration in plant tissues and related physiological responses. Distinct physiological responses to heavy metal stress were observed among the investigated species, highlighting unique variations in their reactions. Hydrogen peroxide, malondialdehyde content, and enzymatic activities emerged as reliable indicators of plant stress induced by heavy metal solutions. P. lanceolata displayed elevated Zn concentrations in both roots and leaves (3271 ± 337 and 4956 ± 82 mg kg-1). For Pb, L. multiflorum and P. lanceolata showed highest root concentrations (2964 ± 937 and 1605 ± 289 mg kg-1), while R. acetosa had higher leaf concentration (1957 ± 147 mg kg-1). For Ni, L. multiflorum had the highest root concentration (1148 ± 93 mg kg-1), and P. lanceolata exhibited the highest leaf concentration (2492 ± 28 mg kg-1). P. lanceolata consistently demonstrated the highest Cd concentrations in both roots (126 ± 21 mg kg-1) and leaves (163 ± 12 mg kg-1). These results provide valuable insights for selecting effective bioindicator species to establish control strategies for heavy metal pollution.
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Affiliation(s)
- Arlinda Cakaj
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637, Poznań, Poland.
| | - Kinga Drzewiecka
- Department of Chemistry, Faculty of Forestry and Wood Technology, Poznań University of Life Sciences, Wojska Polskiego 75, 60-637, Poznań, Poland
| | - Anetta Hanć
- Department of Trace Analysis, Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614, Poznań, Poland
| | - Marta Lisiak-Zielińska
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637, Poznań, Poland
| | - Liliana Ciszewska
- Department of Biochemistry, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614, Poznan, Poland
| | - Maria Drapikowska
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637, Poznań, Poland
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Respondek Z, Isinkaralar O, Świsłowski P, Isinkaralar K, Rajfur M. Biomonitoring with the Use of the Herbal Plant Taraxacum officinale as a Source of Information on Environmental Contamination. PLANTS (BASEL, SWITZERLAND) 2024; 13:1805. [PMID: 38999644 PMCID: PMC11244324 DOI: 10.3390/plants13131805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 07/14/2024]
Abstract
The aim of this study was to assess the level of contamination of the common dandelion-Taraxacum officinale-with selected metals (Mn, Fe, Ni, Cu, Zn, Cd, and Pb) and to demonstrate that this plant can be used in passive biomonitoring of industrial sites. Two sample transects (the first was near a forest, an area potentially uncontaminated by analytes [A], while the second ran near a steel mill, a contaminated area [B]), each about 1.5 km long, located in Ozimek, Opole Province, Poland, were used in this study. Metals in plant and soil samples were determined by atomic absorption spectroscopy (AAS). Based on the analysis of the obtained results to determine the concentration of metals, plants at site A were more contaminated with Mn (240 mg/kg d.m.) and those at site B with Fe (635 mg/kg d.m.). Mean Pb values (8.39 mg/kg d.m.) were higher at the industrial site (B) and statistically significant at the forest site (A), together with Mn and Fe at the p < 0.001 level. The BCF values for T. officinale showed that Cu (0.473) and Zn (0.785) accumulated to an average degree on both transects. This shows that dandelion is heavily loaded with these metals. Both dandelion and soil samples showed the highest concentrations of Mn, Fe, and Zn, especially in the polluted area B, which is the result of pollution not only from the smelter (dust from electric arc furnaces in steel smelting, extraction installations in production halls transmitting pollutants into the air from molding sand, or waste from molding and core masses dumped on the heap and blown by the wind from the landfill) but also from the high anthropopressure caused by human activity-for example, heating processes or road transport. Our results confirmed that Taraxacum officinale can be successfully used as a herbal plant in passive biomonitoring to assess the quality of the environment, but it must be collected from uncontaminated areas if we want to use it like a medicinal plant.
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Affiliation(s)
- Zuzanna Respondek
- Institute of Environmental Engineering and Biotechnology, University of Opole, B. Kominka St. 6, 6a, 45-032 Opole, Poland
| | - Oznur Isinkaralar
- Department of Landscape Architecture, Faculty of Engineering and Architecture, Kastamonu University, 37150 Kastamonu, Türkiye
| | - Paweł Świsłowski
- Institute of Biology, University of Opole, B. Kominka St. 6, 6a, 45-032 Opole, Poland
| | - Kaan Isinkaralar
- Department of Environmental Engineering, Faculty of Engineering and Architecture, Kastamonu University, 37150 Kastamonu, Türkiye
| | - Małgorzata Rajfur
- Institute of Biology, University of Opole, B. Kominka St. 6, 6a, 45-032 Opole, Poland
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Xu D, Wang Z, Tan X, Xu H, Zhu D, Shen R, Ding K, Li H, Xiang L, Yang Z. Integrated assessment of the pollution and risk of heavy metals in soils near chemical industry parks along the middle Yangtze River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170431. [PMID: 38301773 DOI: 10.1016/j.scitotenv.2024.170431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/13/2024] [Accepted: 01/23/2024] [Indexed: 02/03/2024]
Abstract
Industrialization in riparian areas of critical rivers has caused significant environmental and health impacts. Taking eight industrial parks along the middle Yangtze River as examples, this study proposes a multiple-criteria approach to investigate soil heavy metal pollution and associated ecological and health risks posed by industrial activities. Aiming at seven heavy metals, the results show that nickel (Ni), cadmium (Cd), and copper (Cu) exhibited the most significant accumulation above background levels. The comprehensive findings from Pearson correlation analysis, cluster analysis, principal component analysis, and industrial investigation uncover the primary sources of Cd, arsenic (As), mercury (Hg), and lead (Pb) to be chemical processing, while Ni and chromium (Cr) are predominantly derived from mechanical and electrical equipment manufacturing. In contrast, Cu exhibits a broad range of origins across various industrial processes. Soil heavy metals can cause serious ecological and carcinogenic health risks, of which Cd and Hg contribute to >70 % of the total ecological risk, and As contributes over 80 % of the total health risk. This study highlights the importance of employing multiple mathematical and statistical models in determining and evaluating environmental hazards, and may aid in planning the environmental remediation engineering and optimizing the industry standards.
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Affiliation(s)
- Dong Xu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Zejun Wang
- School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China.
| | - Xiaoyu Tan
- School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China
| | - Haohan Xu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Dongbo Zhu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Ruili Shen
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Kang Ding
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Hongcheng Li
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Luojing Xiang
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China.
| | - Zhibing Yang
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China
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5
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Zou Y, Lou S, Zhang Z, Liu S, Zhou X, Zhou F, Radnaeva LD, Nikitina E, Fedorova IV. Predictions of heavy metal concentrations by physiochemical water quality parameters in coastal areas of Yangtze river estuary. MARINE POLLUTION BULLETIN 2024; 199:115951. [PMID: 38150976 DOI: 10.1016/j.marpolbul.2023.115951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/20/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023]
Abstract
Due to the degradation-resistant and strong toxicity, heavy metals pose a serious threat to the safety of water environment and aquatic ecology. Rapid acquisition and prediction of heavy metal concentrations are of paramount importance for water resource management and environmental preservation. In this study, heavy metal concentrations (Cr, Ni, Cu, Pb, Zn, Cd) and physicochemical parameters of water quality including Temperature (Temp), pH, Oxygen redox potential (ORP), Dissolved oxygen (DO), Electrical conductivity (EC), Electrical resistivity (RES), Total dissolved solids (TDS), Salinity (SAL), Cyanobacteria (BGA-PE), and turbidity (NTU) were measured at seven stations in the Yangtze river estuary. Principal Component Analysis (PCA) and Spearman correlation analysis were employed to analyze the main factors and sources of heavy metals. Results of PCA revealed that the main sources of Cr, Ni, Zn, and Cd were steel industry wastewater, domestic and industrial sewage, whereas shipping and vessel emissions were typically considered sources of Pb and Cu. Spearman correlation analysis identified Temp, pH, ORP, EC, RES, TDS, and SAL as the key physicochemical parameters of water quality, exhibiting the strongest correlation with heavy metal concentrations in sediment and water samples. Based on these results, multiple linear regression as well as non-linear models (SVM and RF) were constructed for predicting heavy metal concentrations. The results showed that the results of the nonlinear model were more suitable for predicting the concentrations of most heavy metals than the linear model, with average R values of the SVM test set and RF test set being 0.83 and 0.90. The RF model showed better applicability for simulating the concentration of heavy metals along the Yangtze river estuary. It was demonstrated that non-linear research methods provided efficient and accurate predictions of heavy metal concentrations in a simple and rapid manner, thereby offering decision-making support for watershed managers.
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Affiliation(s)
- Yuwen Zou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Sha Lou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China.
| | - Zhirui Zhang
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Shuguang Liu
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China
| | - Xiaosheng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Feng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Larisa Dorzhievna Radnaeva
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Elena Nikitina
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Irina Viktorovna Fedorova
- Institute of Earth Sciences, Saint Petersburg State University, 199034, 7-9 Universitetskaya Embankment, St Petersburg, Russia
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Cakaj A, Lisiak-Zielińska M, Hanć A, Małecka A, Borowiak K, Drapikowska M. Common weeds as heavy metal bioindicators: a new approach in biomonitoring. Sci Rep 2023; 13:6926. [PMID: 37117325 PMCID: PMC10147616 DOI: 10.1038/s41598-023-34019-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/22/2023] [Indexed: 04/30/2023] Open
Abstract
Environmental pollution by heavy metals affects both urban and non-urban areas of Europe and the world. The use of bioindicator plants for the detection of these pollutants is a common practice. An important property of potential bioindicators is their easy availability and wide distribution range, which means that they can be practically used over a wide area. Therefore, common and widely distributed weeds: Trifolium pratense L., Rumex acetosa L., Amaranthus retroflexus L., Plantago lanceolata L., ornamental species Alcea rosea L., and Lolium multiflorum L. var. Ponto were selected as a potential bioindicators of heavy metals (Cd, Pb, Cu, Zn). Plants were exposed in the same soil conditions in three sample sites in the Poznań city. It was found that all species had heavy metal accumulation potential, especially A. rosea, P. lanceolata and L. multiflorum for Zn (BCF = 6.62; 5.17; 4.70) and A. rosea, P. lanceolata for Cd (BCF = 8.51; 6.94). Translocation of Cu and Zn was the most effective in T. pratense (TFCu = 2.55; TFZn = 2.67) and in A. retroflexus (TFCu = 1.50; TFZn = 2.23). Cd translocation was the most efficient in T. pratense (TFCd = 1.97), but PB was the most effective translocated in A. retroflexus (TFPb = 3.09).. Based on physiological response to stress, it was detected an increasing level of hydrogen peroxide (H2O2) in roots and leaves of all samples, with the highest in all organs of A. rosea. Enzymatic activity levels of CAT, APOX, and also the marker of polyunsaturated fatty acid peroxidation MDA, were higher after 6 weeks of exposure in comparison to control samples and varied in time of exposure and between species and exposure. After the experiment, in almost all samples we detected a reduction of chlorophyll content and relative water content, but in efficiency of photosynthesis parameters: net photosynthesis rate, intercellular CO2 concentration and stomatal conductance, we noted increased values, which proved the relatively good condition of the plants. The examined weeds are good bioindicators of heavy metal contamination, and their combined use makes it possible to comprehensively detection of environmental threats.
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Affiliation(s)
- A Cakaj
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Piątkowska 94C, 60-649, Poznań, Poland
| | - M Lisiak-Zielińska
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Piątkowska 94C, 60-649, Poznań, Poland
| | - A Hanć
- Department of Trace Analysis, Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614, Poznań, Poland
| | - A Małecka
- The Cancer Epidemiology and Prevention Unit, Greater Poland Cancer Centre, Garbary 15 Street, 61-866, Poznan, Poland
| | - K Borowiak
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Piątkowska 94C, 60-649, Poznań, Poland
| | - M Drapikowska
- Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Piątkowska 94C, 60-649, Poznań, Poland.
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Liu J, Kang H, Tao W, Li H, He D, Ma L, Tang H, Wu S, Yang K, Li X. A spatial distribution - Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160112. [PMID: 36375553 DOI: 10.1016/j.scitotenv.2022.160112] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/04/2022] [Accepted: 11/06/2022] [Indexed: 06/16/2023]
Abstract
With the rapid development of urbanization, heavy metal pollution of soil has received great attention. Over-enrichment of heavy metals in soil may endanger human health. Assessing soil pollution and identifying potential sources of heavy metals are crucial for prevention and control of soil heavy metal pollution. This study introduced a spatial distribution - principal component analysis (SD-PCA) model that couples the spatial attributes of soil pollution with linear data transformation by the eigenvector-based principal component analysis. By evaluating soil pollution in the spatial dimension it identifies the potential sources of heavy metals more easily. In this study, soil contamination by eight heavy metals was investigated in the Lintong District, a typical multi-source urban area in Northwest China. In general, the soils in the study area were lightly contaminated by Cr and Pb. Pearson correlation analysis showed that Cr was negatively correlated with other heavy metals, whereas the spatial autocorrelation analysis revealed that there was strong association in the spatial distribution of eight heavy metals. The aggregation forms were more varied and the correlation between Cr contamination and other heavy metals was lower. The aggregation forms of Mn and Cu, Zn and Pb, on the other hand, were remarkably comparable. Agriculture was the largest pollution source, contributing 65.5 % to soil pollution, which was caused by the superposition of multiple heavy metals. Additionally, traffic and natural pollution sources contributed 17.9 % and 11.1 %, respectively. The ability of this model to track pollution of heavy metals has important practical significance for the assessment and control of multi-source soil pollution.
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Affiliation(s)
- Jiawei Liu
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Hou Kang
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
| | - Wendong Tao
- Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, 1 Forestry Drive, Syracuse, NY 13210, USA.
| | - Hanyu Li
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Dan He
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Lixia Ma
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Haojie Tang
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Siqi Wu
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Kexin Yang
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Xuxiang Li
- School of Human Settlements and Civil Engineering, Xi'an Jiao Tong University, Xi'an 710049, China
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Li X, Li L, Zhou Z, Li T, An J, Zhang S, Xu X, Pu Y, Wang G, Jia Y, Liu X, Li Y. Soil potentially toxic element pollution at different urbanization intensities: Quantitative source apportionment and source-oriented health risk assessment. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 251:114550. [PMID: 36652743 DOI: 10.1016/j.ecoenv.2023.114550] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/20/2022] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
Potentially toxic element (PTE) pollution of urban soils has become the focus of social concern, but the differences of the sources, pollution levels and source-oriented human health risks (HHR) of PTE in urban soils among different urban intensity areas is rarely known. This study explored a comprehensive scheme that combined positive matrix factorization model and source-oriented assessment to quantitatively assess the priority pollution sources and HHR in urban soils from areas with different urbanization intensities. All the average values for PTE concentrations, except for Cr, were higher than their corresponding background values. The contributions made by the four sources (atmospheric deposition, agricultural activities, traffic activities, and natural sources) were relatively similar (22.29-29.89%) in the low urbanization intensity (LUI) area, whereas traffic activities and atmospheric deposition made the greatest contributions in the medium urbanization intensity (MUI) (29.12%) and the high urbanization intensity (HUI) (38.97%) areas, respectively. The geo-accumulation index results revealed that Cd was the most polluting element and the HUI area had the highest pollution levels. The content-oriented assessment of HHR demonstrated that the non-carcinogenic risks were acceptable, but the carcinogenic risks were unacceptable. According to the source-oriented HHR assessment, among the anthropogenic activities, atmospheric deposition contributed the most to carcinogenic risk of children in all areas, and atmospheric deposition, traffic activities and agricultural activities contributed the most to the carcinogenic risk of adults in HUI, MUI and LUI, respectively. This suggest that control measures need to be tailored to the appropriate urbanization intensity to effectively curb PTE pollution caused by anthropogenic activities.
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Affiliation(s)
- Xinyun Li
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Lulu Li
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Zijun Zhou
- Institute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China.
| | - Ting Li
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China.
| | - Ji An
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Shirong Zhang
- College of Environmental Science, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaoxun Xu
- College of Environmental Science, Sichuan Agricultural University, Chengdu 611130, China
| | - Yulin Pu
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Guiyin Wang
- College of Environmental Science, Sichuan Agricultural University, Chengdu 611130, China
| | - Yongxia Jia
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaojing Liu
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Yun Li
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
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Hombrecher K, Quass U, Sievering S, Schöppe A, Rauchfuss K. Contamination of food crops by unintentionally released PCB 47, PCB 51 and PCB 68 in the vicinity of silicone production sites and their relevance for human health assessment. CHEMOSPHERE 2022; 308:136392. [PMID: 36096305 DOI: 10.1016/j.chemosphere.2022.136392] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
Since it was shown that silicone rubber production can unintentionally release PCBs, these production sites have become a focus of investigation. The use of the cross-linking agent bis(2,4)-dichlorobenzoylperoxide (2,4-DCBP) can lead to emissions of the PCB congeners PCB 47, PCB 51 and PCB 68 into the environment and cause their accumulation e. g. in food crops. To determine the presence and extent of this uptake, we used the newly developed method dandelion screening. Samples were taken from wild dandelion plants near nine production sites in North Rhine-Westphalia, Germany, and analysed for PCBs. In some cases, the regional orientation values for the maximum background level (OMB) were exceeded by up to nine times. Overall, background levels were exceeded at seven of the nine sites investigated and mitigation measures were initiated at the production sites. In order to validate the dandelion screening results, kale was exposed, which allowed for a health assessment. A wide-ranging consumption recommendation was then issued in four out of nine study areas. At this point in the investigations, risk reduction measures had already been implemented at all production sites investigated, so it can be assumed that the exposures at sites not yet in focus are significantly greater. This is a globally relevant problem, as 2,4-DCBP is used in many countries.
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Affiliation(s)
- Katja Hombrecher
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, Essen, 45133, Germany.
| | - Ulrich Quass
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, Essen, 45133, Germany
| | - Silvia Sievering
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, Essen, 45133, Germany
| | - Angelika Schöppe
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, Essen, 45133, Germany
| | - Knut Rauchfuss
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, Essen, 45133, Germany
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Kenny CR, Ring G, Sheehan A, Mc Auliffe MAP, Lucey B, Furey A. Novel metallomic profiling and non-carcinogenic risk assessment of botanical ingredients for use in herbal, phytopharmaceutical and dietary products using HR-ICP-SFMS. Sci Rep 2022; 12:17582. [PMID: 36266322 PMCID: PMC9584900 DOI: 10.1038/s41598-022-16873-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 07/18/2022] [Indexed: 01/13/2023] Open
Abstract
Knowledge of element concentrations in botanical extracts is relevant to assure consumer protection given the increased interest in plant-based ingredients. This study demonstrates successful multi-element investigations in order to address the lack of comprehensive profiling data for botanical extracts, while reporting for the first time the metallomic profile(s) of arnica, bush vetch, sweet cicely, yellow rattle, bogbean, rock-tea and tufted catchfly. Key element compositions were quantified using a validated HR-ICP-SFMS method (µg kg-1) and were found highly variable between the different plants: Lithium (18-3964); Beryllium (3-121); Molybdenum (75-4505); Cadmium (5-325); Tin (6-165); Barium (747-4646); Platinum (2-33); Mercury (5-30); Thallium (3-91); Lead (12-4248); Bismuth (2-30); Titanium (131-5827); Vanadium (15-1758); Chromium (100-4534); Cobalt (21-652); Nickel (230-6060) and Copper (1910-6340). Compendial permissible limits were not exceeded. Overall, no evidence of a health risk to consumers could be determined from consumption of the investigated plants at reasonable intake rates. Mathematical risk modelling (EDI, CDI, HQ, HI) estimated levels above safe oral thresholds only for Cd (16%) and Pb (8%) from higher intakes of the respective plant-derived material. Following high consumption of certain plants, 42% of the samples were categorised as potentially unsafe due to cumulative exposure to Cu, Cd, Hg and Pb. PCA suggested a potential influence of post-harvest processing on Cr, Ti and V levels in commercially-acquired plant material compared to wild-collected and farm-grown plants. Moreover, a strong correlation was observed between Pb-Bi, Be-V, Bi-Sn, and Tl-Mo occurrence. This study may support future research by providing both robust methodology and accompanying reference profile(s) suitable for the quality evaluation of essential elements and/or metal contaminants in botanical ingredients.
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Affiliation(s)
- Ciara-Ruth Kenny
- CREATE (Centre for Research in Advanced Therapeutic Engineering) and BioExplore, Department of Biological Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
- Department of Physical Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
| | - Gavin Ring
- Department of Physical Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
| | - Aisling Sheehan
- Department of Physical Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
| | - Michael A P Mc Auliffe
- Centre for Advanced Photonics and Process Analysis (CAPPA), Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
| | - Brigid Lucey
- CREATE (Centre for Research in Advanced Therapeutic Engineering) and BioExplore, Department of Biological Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland
| | - Ambrose Furey
- CREATE (Centre for Research in Advanced Therapeutic Engineering) and BioExplore, Department of Biological Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland.
- Department of Physical Sciences, Munster Technological University (MTU), Rossa Avenue, Bishopstown, Co. Cork, T12 P928, Ireland.
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11
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Ranking of Basin-Scale Factors Affecting Metal Concentrations in River Sediment. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12062805] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
River sediments often contain potentially harmful pollutants such as metals. Much research has been conducted to identify factors involved in sediment concentrations of metals. While most metal pollution studies focus on smaller scales, it has been shown that basin-scale parameters are powerful predictors of river water quality. The present study focused on basin-scale factors of metal concentrations in river sediments. The study was performed on the contiguous USA using Random Forest (R.F.) to analyze the importance of different factors of the metal pollution potential of river sediments and evaluate the possibility of assessing this potential from basin characteristics. Results indicated that the most important factors belonged to the groups Geology, Dams, and Land cover. Rock characteristics (contents of K2O, CaO, and SiO2) and reservoir drainage area were strong factors. Vegetation indices were more important than land cover types. The response of different metals to basin-scale factors varied greatly. The R.F. models performed well with prediction errors of 16.5% to 28.1%, showing that basin-scale parameters hold sufficient information for predicting potential metal concentrations. The results contribute to research and policymaking dependent on understanding large-scale factors of metal pollution.
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12
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Liu P, Wu Q, Wang X, Hu W, Liu X, Tian K, Fan Y, Xie E, Zhao Y, Huang B, Yoon SJ, Kwon BO, Khim JS. Spatiotemporal variation and sources of soil heavy metals along the lower reaches of Yangtze River, China. CHEMOSPHERE 2022; 291:132768. [PMID: 34736947 DOI: 10.1016/j.chemosphere.2021.132768] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/27/2021] [Accepted: 10/31/2021] [Indexed: 06/13/2023]
Abstract
Excessive accumulation of soil heavy metals (HMs) result in the deterioration of soil quality and reduction of agricultural productivity and safety. The accumulation status, temporal change, and sources of soil HMs were determined by large-scale field surveys in 2014 and 2019 in rapid urbanization and industrialization area along the lower reaches of the Yangtze River, China. Eighty-two surface soil samples were collected in 2014 and ninety-five surface soil samples and seven soil profiles (0-100 cm) were collected in 2019. The mean concentrations (in, mg kg-1) of As (10.17), Cd (0.33), Cr (86.38), Cu (38.22), Hg (0.11), Ni (37.67), Pb (43.95), and Zn (113.15) were greater than the corresponding background values. The concentrations of these 8 HMs significantly varied with site-specific distributions depending on nearby landscape patterns with decreasing order: agricultural soil around industrial > agricultural soil > fallow soil. Cd and Hg were found to be priority pollutants due to their greater accumulations in this study area. Combined analyses of principal component analysis and positive matrix factorization model addressed source apportionment of soil HMs. Industrial activities, parent materials, and agricultural and traffic activities were three major sources and their contributions were 35.56%, 35.20%, and 29.23%, respectively. The concentrations of soil As, Cd, Cr and Pb increased with time. This study elucidates how changes in land uses and time affect soil HMs and provides reasonable suggestions for the effective reduction of HM contamination in economically and industrially developed areas of China, and elsewhere.
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Affiliation(s)
- Peng Liu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiumei Wu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xinkai Wang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenyou Hu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xiaoyan Liu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kang Tian
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Ya'nan Fan
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Enze Xie
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Yongcun Zhao
- University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Biao Huang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Seo Joon Yoon
- School of Earth and Environmental Sciences & Research Institute of Oceanography, Seoul National University, Seoul, 08826, Republic of Korea
| | - Bong-Oh Kwon
- Department of Marine Biotechnology, Kunsan National University, Kunsan, 54150, Republic of Korea
| | - Jong Seong Khim
- School of Earth and Environmental Sciences & Research Institute of Oceanography, Seoul National University, Seoul, 08826, Republic of Korea
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13
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Hombrecher K, Quass U, Leisner J, Wichert M. Significant release of unintentionally produced non-Aroclor polychlorinated biphenyl (PCB) congeners PCB 47, PCB 51 and PCB 68 from a silicone rubber production site in North Rhine-Westphalia, Germany. CHEMOSPHERE 2021; 285:131449. [PMID: 34329153 DOI: 10.1016/j.chemosphere.2021.131449] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/01/2021] [Accepted: 07/04/2021] [Indexed: 06/13/2023]
Abstract
Silicone rubber production using bis(2,4)-dichlorobenzoylperoxide (2,4-DCBP) as cross-linking agent was recently found to emit significant amounts of the non-Aroclor PCB congeners PCB 47, PCB 51 and PCB 68 into ambient air. Emissions were reported initially to be associated with flue gas condensate flakes deposited in the direct vicinity of the production site. These flakes were mainly composed of 2,4-dichlorobenzoic acid and were contaminated with PCBs in the range of 150-300 mg/kg. Analysis of ambient air proved that also substantial gaseous emissions of the specific PCB congeners occur. The PCB congeners PCB 47, PCB 51 and PCB 68 were also found in bulk deposition samples, bio-indicators (dandelion, kale) and soil samples in the vicinity of the production site. Substitution of 2,4-DCBP by other cross-linking agents and mitigation measures led to a significant decrease of environmental impact.
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Affiliation(s)
- Katja Hombrecher
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133, Essen, Germany.
| | - Ulrich Quass
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133, Essen, Germany
| | - Jörg Leisner
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133, Essen, Germany
| | - Michael Wichert
- North Rhine-Westphalia State Agency for Nature, Environment and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133, Essen, Germany
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Szmagliński J, Nawrot N, Pazdro K, Walkusz-Miotk J, Wojciechowska E. The fate and contamination of trace metals in soils exposed to a railroad used by Diesel Multiple Units: Assessment of the railroad contribution with multi-tool source tracking. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 798:149300. [PMID: 34340088 DOI: 10.1016/j.scitotenv.2021.149300] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 06/13/2023]
Abstract
Soil samples from cut slopes from lightly loaded railway lines used by Diesel Multiple Units for 5 years in Gdansk (Poland) were collected and analyzed for trace metals (TMs): Zn, Pb, Cd, Ni, Cr, Cu, and Fe. The main aim was to assess soil enrichment, contamination status, and distribution of TMs relative to the distance from the railway track. Extensive source tracking analyses were performed using cluster analysis (CA) and the Pb isotope ratios approach (206Pb, 207Pb, and 208Pb). Soil samples were affected by Cr, Cu, Pb, and Zn (max values in mg/kg d.w.: 31.1, 145, 80.5, and 115, respectively). The Enrichment Factor showed moderate (Cr, Zn, Pb) to very severe (Cu) enrichment. CA allowed TMs to be divided into two general groups: a) containing Zn, Pb, Cd with slight interaction with Cu; and b) containing Fe and Ni with slight interaction with Cr. Correlation analyses indicated Cr as an outlying TM delivered from a separate source associated with the specificity of the construction of railroad 248, where alloys containing Cr were used to counteract increasing wear-and-tear of the rails. Pb isotopic ratios in the ranges of 1.16-1.20 (206Pb/207Pb) and 2.05-2.10 (208Pb/206Pb) corresponded to anthropogenic supplementation (coal combustion, road vehicles, and railroad transport) of Pb and Pb-correlated TMs (Zn, Cd, and partly Cu). Despite the research focus on the impact of the railroad contribution, a comparison with other forms of transport indicated that road transport appeared to have a higher contributing factor to TM pollution at the investigated site. This general conclusion again emphasizes the lower environmental footprint exhibited by railway transport in comparison to road transport.
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Affiliation(s)
- Jacek Szmagliński
- Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, Narutowicza 11/12, 80-233 Gdańsk, Poland
| | - Nicole Nawrot
- Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, Narutowicza 11/12, 80-233 Gdańsk, Poland.
| | - Ksenia Pazdro
- Institute of Oceanology of the Polish Academy of Sciences, Marine Geotoxicology Laboratory, Powstańców Warszawy 55, 81-712 Sopot, Poland
| | - Jolanta Walkusz-Miotk
- Institute of Oceanology of the Polish Academy of Sciences, Marine Geotoxicology Laboratory, Powstańców Warszawy 55, 81-712 Sopot, Poland
| | - Ewa Wojciechowska
- Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, Narutowicza 11/12, 80-233 Gdańsk, Poland
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15
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Long Z, Zhu H, Bing H, Tian X, Wang Z, Wang X, Wu Y. Contamination, sources and health risk of heavy metals in soil and dust from different functional areas in an industrial city of Panzhihua City, Southwest China. JOURNAL OF HAZARDOUS MATERIALS 2021; 420:126638. [PMID: 34280716 DOI: 10.1016/j.jhazmat.2021.126638] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/24/2021] [Accepted: 07/11/2021] [Indexed: 05/11/2023]
Abstract
The contamination of heavy metals in urban soil and dust is closely related to anthropogenic emissions, while to what extent the metal contamination varies among different functional areas in industrial cities remains unclear. In this study, the contamination and health risk of seven heavy metals in the soil and dust were assessed at different functional areas of Panzhihua City, Southwest China, and their sources were identified by the spatial divisions and Pb isotopes. The results showed that the contamination of V and Cr in the vanadium/steel plant (VsA) and the contamination of Cd, Pb and Zn in the iron-ore smelting (IsA) were significantly higher relative to other functional areas. The sources of the contaminated heavy metals in the soil and dust were mainly from smelting and manufacturing vanadium/steel products, coal combustion and traffic. Vanadium and Cr were the major metals primarily contributing to the noncarcinogenic and carcinogenic risks, despite the low contamination level of Cr. The results indicate that the VsA is the priority control area in the Panzhihua City, and besides V, more attention should be paid in the future to monitor Cr risk in the soil and dust because of its high contribution to the health risk.
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Affiliation(s)
- Zhijie Long
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - He Zhu
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
| | - Haijian Bing
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
| | - Xin Tian
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiguo Wang
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaofang Wang
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanhong Wu
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
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