1
|
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.
Collapse
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
| |
Collapse
|
2
|
Negral L, Suárez-Peña B, Amado Á, Megido L, Lara R, Marañón E, Castrillón L. Settleable matter in a highly industrialized area: Chemistry and health risk assessment. CHEMOSPHERE 2021; 274:129751. [PMID: 33545589 DOI: 10.1016/j.chemosphere.2021.129751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/04/2021] [Accepted: 01/18/2021] [Indexed: 05/24/2023]
Abstract
Settleable particulate matter (SPM) was collected at two sampling points within an urban area highly affected by nearby industrial activities. Total deposition values up to 386 mg ·m-2·d-1 were registered, the majority of samples exceeding the limit value established in the legislation in force in Spain until 2002 (300 mg·m-2·d-1). Dry deposition values showed high variability (8.6-830.3 mg·m-2·d-1). Forty-one metals and metalloids were analysed in the dry fraction of SPM, the main being Fe and Ca (maximums: 304.4 and 68.6 mg·m-2·d-1, respectively), followed by Al, Mg, Na, K, Mn, Ti, P and Zn. Trace elements like As and Pb reached up to 7.3 and 76.3 μg· m-2·d-1, respectively. Strong correlations (r > 0.90, p-value < 0.05) between Fe and other elements (Ca, Mn and Pb) were found at both sampling sites. Scanning electron microscopy confirmed the presence of these particles rich in Fe and Ca, in addition to other components, whose morphologies pointed out to anthropogenic sources. These results combined with meteorology data suggest a common industrial source contributing to the levels of these metals. Furthermore, a human health risk study was carried out to assess the potential carcinogenic and non-carcinogenic risks of exposure to thirteen elements in these particles (Al, As, Cd, Co, Cu, Mn, Mo, Ni, Pb, Sb, Sr, V and Zn). The highest levels of risk seemed to be associated with the presence of As, Pb and Sb.
Collapse
Affiliation(s)
- Luis Negral
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| | - Beatriz Suárez-Peña
- Department of Materials Science and Metallurgical Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| | - Álvaro Amado
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| | - Laura Megido
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain.
| | - Rosa Lara
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| | - Elena Marañón
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| | - Leonor Castrillón
- Department of Chemical and Environmental Engineering, Polytechnic School of Engineering, Gijón Campus, University of Oviedo, 33203, Gijón, Spain
| |
Collapse
|
3
|
Yang X, Wu J, Li M, Qi M, Wang R, Hu J, Jin J. Particle size distributions and health risks of polychlorinated dibenzo-p-dioxin/furans, polychlorinated biphenyls, and polychlorinated naphthalenes in atmospheric particles around two secondary copper smelters in Shandong Province, China. CHEMOSPHERE 2021; 269:128742. [PMID: 33127115 DOI: 10.1016/j.chemosphere.2020.128742] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/20/2020] [Accepted: 10/22/2020] [Indexed: 06/11/2023]
Abstract
Sixteen samples of atmospheric particles in four size fractions (diameter: > 10 μm, 5-10 μm, 2.5-5 μm, and <2.5 μm) were collected around two secondary copper smelters in Shandong Province, China. The levels, particle size distributions, and potential health risks of polychlorinated dibenzo-p-dioxin/furans (PCDD/Fs), dioxin-like polychlorinated biphenyls (dl-PCBs), and polychlorinated naphthalenes (PCNs) in these samples were analyzed. The concentration ranges for the PCDD/Fs, dl-PCBs, and PCNs were 3.13-5.77 pg m-3, 0.43-0.56 pg m-3, and 4.76-9.89 pg m-3, respectively. All of the compounds accumulated strongly in the particles with diameters of <2.5 μm. The congener profiles of PCDD/Fs in particles of various sizes were similar, and were consistent with those in stack gases from local secondary copper smelters. However, the congener profiles of dl-PCBs and PCNs in the particles with diameters of <2.5 μm differed from those for the other particle size fractions. The proportion of highly chlorinated homologs in particles with diameters of <2.5 μm was much higher than that of particles with diameters of >2.5 μm. The results of a risk assessment indicated that the contribution of PCDD/Fs to the total carcinogenic risk (PCDD/Fs + dl-PCBs + PCNs) was >95%. For the PCDD/Fs, dl-PCBs, and PCNs, 78%, 71%, and 86% of the carcinogenic risk was associated with the <2.5 μm fraction, respectively. This study improves our understanding of the particle size distributions and human health risks of exposure to PCDD/Fs, dl-PCBs, and PCNs in the atmosphere around secondary copper smelters.
Collapse
Affiliation(s)
- Xinrui Yang
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China
| | - Jing Wu
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China
| | - Meihong Li
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China
| | - Min Qi
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China
| | - Ran Wang
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China
| | - Jicheng Hu
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China; Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing, 100081, China.
| | - Jun Jin
- College of Life and Environmental Science, Minzu University of China, Beijing, 100081, China; Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing, 100081, China
| |
Collapse
|
4
|
Guo G, Zhang D, Wang Y. Characteristics of heavy metals in size-fractionated atmospheric particulate matters and associated health risk assessment based on the respiratory deposition. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:285-299. [PMID: 32895728 DOI: 10.1007/s10653-020-00706-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/25/2020] [Indexed: 06/11/2023]
Abstract
The heavy metal distributions in size-fractionated atmospheric particulate matters and the associated health risks were investigated in a typical mining and smelting area in Southwest China. The Cd, Cr, Cu, Pb, and Zn concentrations were 19.28, 44.48, 100.0, 554.0, and 601.8 ng/m3, respectively, in PM2.1; and 23.45, 60.99, 95.25, 559.3, and 813.7 ng/m3, respectively, in PM10. Enrichment factors of heavy metals indicated that anthropogenic sources of Cd, Cu, Pb, and Zn in the size-fractionated particles. The elevated concentrations of Cd, Cu, Pb, and Zn were dominantly enriched in submicron particles (DP < 1.1 μm), whereas Cr tended to be accumulated in coarse particles (2.1 < DP < 10 μm). The deposition concentrations for multiple heavy metals in the head airway region, tracheobronchial region, and alveolar regions were 321.07, 21.58, and 51.96 ng/h for children, and 634.49, 42.65, and 102.68 ng/h for adults, respectively. The coarse particles contributed the most to the deposition concentration of HMs in head region, whereas submicron particles had relative higher proportions in the alveolar region. Heavy metals, especially Pb, caused noncarcinogenic risk to the children as the hazard index was 4.45. Moreover, total carcinogenic risks of heavy metals (Cr, Cd, and Pb) were 4.33 × 10-5 and 7.58 × 10-5 for adults and children, respectively, indicating potential carcinogenic risks. Overall, the results of this study revealed high health risks to the residents living around the mining and smelting areas, especially the children. It was therefore urgent to control the emission of heavy metals in the atmosphere.
Collapse
Affiliation(s)
- Guanghui Guo
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Degang Zhang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuntao Wang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| |
Collapse
|
5
|
Morgan J, Bell R, Jones AL. Endogenous doesn't always mean innocuous: a scoping review of iron toxicity by inhalation. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2020; 23:107-136. [PMID: 32106786 DOI: 10.1080/10937404.2020.1731896] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Ambient air pollution is a leading risk factor for the global burden of disease. One possible pathway of particulate matter (PM)-induced toxicity is through iron (Fe), the most abundant metal in the atmosphere. The aim of the review was to consider the complexity of Fe-mediated toxicity following inhalation exposure focusing on the chemical and surface reactivity of Fe as a transition metal and possible pathways of toxicity via reactive oxygen species (ROS) generation as well as considerations of size, morphology, and source of PM. A broad term search of 4 databases identified 2189 journal articles and reports examining exposure to Fe via inhalation in the past 10 years. These were sequentially analyzed by title, abstract and full-text to identify 87 articles publishing results on the toxicity of Fe-containing PM by inhalation or instillation to the respiratory system. The remaining 87 papers were examined to summarize research dealing with in vitro, in vivo and epidemiological studies involving PM containing Fe or iron oxide following inhalation or instillation. The major findings from these investigations are summarized and tabulated. Epidemiological studies showed that exposure to Fe oxide is correlated with an increased incidence of cancer, cardiovascular diseases, and several respiratory diseases. Iron PM was found to induce inflammatory effects in vitro and in vivo and to translocate to remote locations including the brain following inhalation. A potential pathway for the PM-containing Fe-mediated toxicity by inhalation is via the generation of ROS which leads to lipid peroxidation and DNA and protein oxidation. Our recommendations include an expansion of epidemiological, in vivo and in vitro studies, integrating research improvements outlined in this review, such as the method of particle preparation, cell line type, and animal model, to enhance our understanding of the complex biological interactions of these particles.
Collapse
Affiliation(s)
- Jody Morgan
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Robin Bell
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Alison L Jones
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| |
Collapse
|
6
|
Zhou X, Strezov V, Jiang Y, Yang X, Kan T, Evans T. Contamination identification, source apportionment and health risk assessment of trace elements at different fractions of atmospheric particles at iron and steelmaking areas in China. PLoS One 2020; 15:e0230983. [PMID: 32240214 PMCID: PMC7117772 DOI: 10.1371/journal.pone.0230983] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/12/2020] [Indexed: 11/19/2022] Open
Abstract
China has the largest share of global iron and steel production, which is considered to play a significant contribution to air pollution. This study aims to investigate trace element contamination at different fractions of particulate matter (PM) at industrial areas in China. Three PM fractions, PM2.1-9.0, PM1.1-2.1 and PM1.1, were collected from areas surrounding iron and steelmaking plants at Kunming, Wuhan, Nanjing and Ningbo in China. Multiple trace elements and their bioavailability, as well as Pb isotopic compositions, were analysed for identification of contaminants, health risk assessment and source apportionment. Results showed that PM particles in the sites near industrial areas were associated with a range of toxic trace elements, specifically As, Cr(VI), Cd and Mn, and posed significant health risks to humans. The isotopic Pb compositions identified that coal and high temperature metallurgical processes in the steelmaking process were the dominant contributors to local air pollution in these sites. In addition to iron and steelmaking activities, traffic emissions and remote pollution also played a contributing role in PM contamination, confirmed by the differences of Pb isotopic compositions at each PM fraction and statistical results from Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) and Geometrical Analysis for Interactive Aid (GAIA). The results presented in this study provide a comprehensive understanding of PM emissions at iron and steelmaking areas, which helps to guide subsequent updates of air pollution control guidelines to efficiently minimise environmental footprint and ensure long term sustainability of the industries.
Collapse
Affiliation(s)
- Xiaoteng Zhou
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- Department of Earth and Environmental Sciences, Macquarie University, Sydney, New South Wales, Australia
- * E-mail:
| | - Vladimir Strezov
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- Department of Earth and Environmental Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Yijiao Jiang
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Xiaoxia Yang
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Tao Kan
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- Department of Earth and Environmental Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Tim Evans
- ARC Research Hub for Computational Particle Technology, Macquarie University, Sydney, New South Wales, Australia
- Department of Earth and Environmental Sciences, Macquarie University, Sydney, New South Wales, Australia
| |
Collapse
|