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Yi S, Song Z, Lin J, Liu W, Li B. Distribution, sources and influencing factors of heavy metals in the Ledong Sea, South China Sea. MARINE POLLUTION BULLETIN 2024; 202:116396. [PMID: 38657493 DOI: 10.1016/j.marpolbul.2024.116396] [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: 11/20/2023] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 04/26/2024]
Abstract
The Ledong Sea Area is located on the southwest side of Hainan Island. In recent years, with the development of industrialization and urbanization, the problem of heavy metals in marine sediments has gradually become a global problem, and research on this topic is of great significance for nearshore environmental protection and coastal management. This paper analysed the heavy metal content of 97 surface sediments in the Ledong Sea, indicating unpolluted to moderately polluted and low to moderate risk. Cu, Zn, Hg, Pb, Cr, and Cd are highly correlated, with similar origins, and originate from rivers carrying industrial wastewater, domestic sewage, and weathered material from the parent rocks, which are subsequently redistributed under the action of ocean dynamics. The distribution of Hg is mainly influenced by feed and biological metabolites during the farming process. As originates from rivers carrying large amounts of agricultural pesticide and fertilizer residues.
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Affiliation(s)
- Shantang Yi
- Guangzhou Marine Geological Survey, China Geological Survey, 511458 Guangzhou, China; School of Marine Sciences, Sun Yat-sen University, 519082 Zhuhai, China
| | - Zhuoli Song
- Qingdao Huanhai Marine Engineering Prospecting Institute, 266033 Qingdao, China
| | - Jijiang Lin
- South China Sea Information Center of State Oceanic Administration, 510310 Guangzhou, China
| | - Weiliang Liu
- School of Marine Sciences, Sun Yat-sen University, 519082 Zhuhai, China
| | - Bo Li
- Guangzhou Marine Geological Survey, China Geological Survey, 511458 Guangzhou, China.
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Jourtani MJ, Shanehsazzadeh A, Ardalan H, Almasi Z. Assessing petrochemical effluent effect on heavy metal pollution in Musa Estuary: A numerical modeling approach. MARINE POLLUTION BULLETIN 2024; 201:116201. [PMID: 38457876 DOI: 10.1016/j.marpolbul.2024.116201] [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: 06/20/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/10/2024]
Abstract
The objective of this study is to assess the effect of petrochemical effluent on heavy metal pollutant in the Musa Estuary ecosystem in the North-western region of the Persian Gulf, through numerical modeling. The outfall of 30 petrochemical plants poses a potential threat to the estuary's seawater and sediment quality, environment, and public health. A combined hydrodynamic and ecologic modeling framework is applied to predict the spatial distribution of BOD and hazardous heavy metals in this estuary. MIKE 21 Flow Model (FM) CFD software is applied to simulate the tidal waves hydrodynamics, next to applying the MIKE ECO Lab models to predict the distribution of BOD and heavy metals in ambient water. The accuracy of the modeling framework is validated against measured water level, current speed, and water quality data. The results reveal that the level of lead concentration corresponds with the national standard, while the BOD, arsenic, molybdenum and vanadium exceed the limit in some areas, particularly in the tidal zone. The optimal outlet locations that effectively meet the standard concentrations of the heavy metals in the ambient water of the estuary are determined. The results confirm that the new outlet configuration corresponds with the standards: 0.198 μg/L for arsenic concentrations, 0.182 μg/L for molybdenum, 1.530 μg/L for vanadium, and 1.132 mg/L for BOD, at maximum. This study contributes to the perception of estuarine dynamics and provides practical implications for estuarine sustainable management and pollution control.
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Zhang T, Yang X, Zeng Z, Li Q, Yu J, Deng H, Shi Y, Zhang H, Gerson AR, Pi K. Combined Remediation Effects of Sewage Sludge and Phosphate Fertilizer on Pb-Polluted Soil from a Pb-Acid Battery Plant. ENVIRONMENTAL MANAGEMENT 2024:10.1007/s00267-024-01948-8. [PMID: 38376512 DOI: 10.1007/s00267-024-01948-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/01/2024] [Indexed: 02/21/2024]
Abstract
Pb soil pollution poses a serious health risk to both the environment and humans. Immobilization is the most common strategy for remediation of heavy metal polluted soil. In this study, municipal sewage sludge was used as an amendment for rehabilitation of Pb-contaminated soils, for agricultural use, near a lead-acid battery factory. The passivation effect was further improved by the addition of phosphate fertilizer. It was found that the leachable Pb content in soils was decreased from 49.6 mg kg-1 to 16.1-36.6 mg kg-1 after remediation of sludge for 45 d at applied dosage of municipal sewage sludge of 4-16 wt%, and further decreased to 14.3-34.3 mg kg-1 upon extension of the remediation period to 180 d. The addition of phosphate fertilizer greatly enhanced the Pb immobilization, with leachable Pb content decreased to 2.0-23.6 mg kg-1 with increasing dosage of phosphate fertilizer in range of 0.8-16 wt% after 180 d remediation. Plant assays showed that the bioavailability of Pb was significantly reduced by the soil remediation, with the content of absorbed Pb in mung bean roots decreased by as much as 87.0%. The decrease in mobility and biotoxicity of the soil Pb is mainly attributed to the speciation transformation of carbonate, Fe-Mn oxides and organic matter bound Pb to residue Pb under the synergism of reduction effect of sludge and acid dissolution and precipitation effect of phosphate fertilizer. This study suggests a new method for remediation of Pb-contaminated soil and utilization of municipal sewage sludge resources.
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Affiliation(s)
- Ting Zhang
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Xiong Yang
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China.
- Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lake, School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei, 430068, China.
| | - Zhijia Zeng
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Qiang Li
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Jiahai Yu
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Huiling Deng
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Yafei Shi
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
- Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lake, School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Huiqin Zhang
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China
- Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lake, School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Andrea R Gerson
- Blue Minerals Consultancy, Wattle Grove, Tasmania, 7109, TAS, Australia
| | - Kewu Pi
- Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, Hubei, 430068, China.
- Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lake, School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei, 430068, China.
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Liu J, Zheng Q, Pei S, Li J, Ma L, Zhang L, Niu J, Tian T. Ecological and health risk assessment of heavy metals in agricultural soils from northern China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:99. [PMID: 38157088 DOI: 10.1007/s10661-023-12255-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
Soil pollution by heavy metals can cause continuing damage to ecosystems and the human body. In this study, we collected nine fresh topsoil samples and 18 maize samples (including nine leaf samples and nine corn samples) from agricultural soils in the Baiyin mining areas. The results showed that the order of heavy metal concentrations (mg/kg) in agricultural soils was as follows: Zn (377.40) > Pb (125.06) > Cu (75.06) > Ni (28.29) > Cd (5.46) > Hg (0.37). Cd, Cu, Zn, and Pb exceeded the Chinese risk limit for agricultural soil pollution. The average the pollution load index (4.39) was greater than 3, indicating a heavy contamination level. The element that contributed the most to contamination and high ecological risk in soil was Cd. Principal component analysis (PCA) and Pearson's correlation analysis indicated that the sources of Ni, Cd, Cu, and Zn in the soil were primarily mixed, involving both industrial and agricultural activities, whereas the sources of Hg and Pb included both industrial and transportation activities. Adults and children are not likely to experience non-carcinogenic impacts from the soil in this region. Nonetheless, it was important to be aware of the elevated cancer risk presented by Cd, Pb, and especially Ni. The exceedance rates of Cd and Pb in corn were 66.67% and 33.3%, respectively. The results of this research provide data to improve soil protection, human health monitoring, and crop management in the Baiyin district.
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Affiliation(s)
- Jiangyun Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Qiwen Zheng
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Shuwei Pei
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Jia Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Li Ma
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Li Zhang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Jingping Niu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China.
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China.
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Sadanandan H, Dharmalingam SN, Mouttoucomarassamy S. Benthic foraminifera as bio-indicator of marine pollution in the southwestern Bay of Bengal, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-29367-y. [PMID: 37642911 DOI: 10.1007/s11356-023-29367-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 08/12/2023] [Indexed: 08/31/2023]
Abstract
The benthic foraminiferal community is an excellent bio-indicator of pollution in coastal and marginal marine settings. Their abundance, diversity and its relationship with environmental parameters, viz. grain size, organic carbon (Corg) and trace metals concentration, from the surface sediment layer of the southwestern shelf of the Bay of Bengal, have been used to understand the marine pollution in this study. A total of 32 surface sediment samples were collected at various water depths.The samples were analysed for grain size distribution, organic matter (OM), foraminiferal and trace metals studies. Statistical analyses such as correlation matrix, PCA (Principal Component Analysis) and cluster analysis show that the foraminiferal species composition is significantly influenced by the organic carbon (Corg), Co, Pb, Zn, Cr, and Ni concentrations. The dominance of stress-tolerant species, viz. Ammonia beccarii, Ammonia tepida, Nonion faba, Bulimina marginata, Bolivina robusta, Elphidium craticulatum and Elphidium advenum, as well as less species diversity, demonstrates the elevated Corg and trace metal pollution in the marine environment.
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