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Cai S, Zhou S, Wang Q, Cheng J, Zeng B. Assessment of metal pollution and effects of physicochemical factors on soil microbial communities around a landfill. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 271:115968. [PMID: 38218107 DOI: 10.1016/j.ecoenv.2024.115968] [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: 08/30/2023] [Revised: 12/29/2023] [Accepted: 01/07/2024] [Indexed: 01/15/2024]
Abstract
The physicochemical properties, chemical fractions of six metals (Cu, Zn, Pb, Cd, Cr, and Mn), and microbial communities of soil around a typical sanitary landfill were analyzed. The results indicate that soils around the landfill were from neutral to weak alkalinity. The contents of organic matter (OM), total nitrogen (TN), total phosphorous (TP), and activities of catalase, cellulase, and urease were significantly higher in landfill soils than those in background soils. Negative correlations were found between pH and metals. Cr was the dominant metal. Cu, Pb, Cr, and Mn were accumulated in the nearby farmland soils. Cd had the highest percentage of exchangeable fraction (33.7%-51.8%) in landfill and farmland soils, suggesting a high bioavailability to the soil environment affected by the landfill. Pb, Cr, and Mn existed mostly in oxidable fraction, and Cu and Zn were dominant in residual fraction. There was a low risk of soil metals around the landfill based on the RI values, while according to RAC classification, Cd had high to very high environmental risk. The MisSeq sequencing results showed that Actinobacteria, Proteobacteria, Chloroflexi, and Acidobacteria were the dominant phyla of bacteria, and the most abundant phylum of fungi was Ascomycota. The NMDS analysis revealed that the landfill could influence soil fungal communities more intensely than bacterial communities. TN, cellulase, and bioavailable metals (Pb-Bio and Cr-Bio) were identified to have main influences on microbial communities. Pb-Bio was the most dominant driving factor for bacterial community structures. For fungi, Pb-Bio was significantly negatively related to Olpidiomycota and Cr-Bio had a significantly negative correlation with Ascomycota. It manifests that bioavailable metals play important roles in assessing environmental risks and microbial community structures of soil around landfill.
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Affiliation(s)
- Shenwen Cai
- College of Resources and Environment, Zunyi Normal University, Zunyi, China.
| | - Shaoqi Zhou
- College of Resources and Environment Engineering, Guizhou University, Guiyang, China
| | - Qinghe Wang
- College of Resources and Environment, Zunyi Normal University, Zunyi, China
| | - Junwei Cheng
- College of Resources and Environment, Zunyi Normal University, Zunyi, China
| | - Boping Zeng
- College of Resources and Environment, Zunyi Normal University, Zunyi, China
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Tsai CY, Peng YP, Lin CH, Chen KF, Lai CH, Qiu PH. Seasonal Disparities of Human Health Risk and Particle-Bound Metal Characteristics Associated with Atmospheric Particles in a Fishery Harbor. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2023; 85:438-450. [PMID: 37910195 DOI: 10.1007/s00244-023-01037-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/05/2023] [Indexed: 11/03/2023]
Abstract
The effects of atmospheric pollution from ship emissions have been considered for several harbors worldwide. The health risk assessment and source apportionment of particle-bound metals in a fishery harbor were investigated in this study. The most abundant metal elements in particulate matter (PM) on all sampling days in three seasons were Fe (280.94 ± 136.93 ng/m3), Al (116.40 ± 71.25 ng/m3), and Zn (110.55 ± 26.70 ng/m3). The ratios of V/Ni were 1.44 ± 0.31, 1.48 ± 0.09 and 1.87 ± 0.06 in PM10, PM2.5, and PM1, respectively. Meanwhile, the ratios higher than 1 indicated that fuel oil combustion from ship emission in fishery harbor. The highest deposits of total particle-bound metals in the human respiratory tract were in the head airway (HA), accounting for 76.77 ± 2.29% of the total particle-bound metal concentration, followed by 5.32 ± 0.13% and 2.53 ± 0.15% in the alveolar region (AR) and tracheobronchial (TB) region, respectively. The total cancer risk (CR) of inhalation exposure to local residents exceeded 10-6. Mean total CR values followed the sequence: autumn (1.24 × 10-4) > winter (8.53 × 10-5) > spring (2.77 × 10-6). Source apportionment of related metal emissions was mobile pollution emissions (vehicle/boat) (37.10-48.92%), metal fumes of arc welding exhaust (19.68-34.42%), spray-painting process (12.34-16.24%), combustion emissions (6.32-13.12%), and metal machining processes (9.04-16.31%) in Singda fishing harbor. These results suggest that proper control of heavy metals from each potential source in fishing harbor areas should be carried out to reduce the carcinogenic risk of adverse health effects.
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Affiliation(s)
- Cheng-Yun Tsai
- Institute of Safety Health and Environmental Engineering, Central Taiwan University of Science and Technology, Taichung, 406, Taiwan
| | - Yen-Ping Peng
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan
| | - Chia-Hua Lin
- Department of Biotechnology, National Formosa University, Yunlin, 632301, Taiwan
| | - Ku-Fan Chen
- Department of Civil Engineering, National Chi Nan University, Nantou, 545, Taiwan
| | - Chia-Hsiang Lai
- Department of Biotechnology, National Formosa University, Yunlin, 632301, Taiwan.
| | - Pin-Hao Qiu
- Department of Biotechnology, National Formosa University, Yunlin, 632301, Taiwan
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Huang CC, Cai LM, Xu YH, Jie L, Chen LG, Hu GC, Jiang HH, Xu XB, Mei JX. A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:206. [PMID: 35190909 DOI: 10.1007/s10661-022-09804-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 01/22/2022] [Indexed: 06/14/2023]
Abstract
Non-ferrous metal smelting activities have always been considered as one of the foremost anthropogenic sources of potentially toxic elements (PTEs). The enrichment factor (EF) and pollution load index (PLI) were used to evaluate the pollution level of soil PTEs; positive matrix factorization (PMF), correlation analysis, and geostatistics were utilized to quantify the sources of soil PTEs; and potential ecological risk (PER) and human health risk (HHR) of different sources from farmland, construction land, and natural land were quantifiably determined via combined PTE sources with PER and HHR assessment models. Taking the smelting area of Daye City as an example, the evaluation results of EF and PLI showed that the soil PTE pollution in the study area was serious, especially Cd and Cu. And four sources were quantitatively allocated as agricultural practices (12.14%), traffic emissions (23.07%), natural sources (33.46%), and industrial activities (31.33%). For PER, industrial activities were the largest contributor to PER, accounting for 55.66%, 56.30%, and 55.36% of farmland, construction land, and natural land, respectively, and Cd was the most dangerous element. In terms of HHR, industrial activities were also the cardinal contributors under the three land use types. Children were exposed to serious non-carcinogenic risks under three land use patterns and slight carcinogenic risk in construction land (1.06E - 04). Significantly, the carcinogenic risk of children in farmland (9.06 × 10-5) was very close to the threshold (1 × 10-4), which requires attention. Both non-carcinogenic and carcinogenic risk for adults were all at acceptable levels. The health risks (carcinogenic and non-carcinogenic risks) of children from four different sources were distinctly higher than those of adults. Consequently, strict management and control of industrial activities should be given priority, and the management of agricultural practices should not be ignored.
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Affiliation(s)
- Chang-Chen Huang
- Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, 430100, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
| | - Li-Mei Cai
- Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, 430100, China.
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
- Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
| | - Yao-Hui Xu
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
| | - Luo Jie
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
| | - Lai-Guo Chen
- Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China.
| | - Guo-Cheng Hu
- Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China
| | - Hui-Hao Jiang
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
| | - Xu-Bang Xu
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
| | - Jing-Xian Mei
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
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Wang S, Han Z, Wang J, He X, Zhou Z, Hu X. Environmental risk assessment and factors influencing heavy metal concentrations in the soil of municipal solid waste landfills. WASTE MANAGEMENT (NEW YORK, N.Y.) 2022; 139:330-340. [PMID: 35007953 DOI: 10.1016/j.wasman.2021.11.036] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 10/19/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
The environmental risk assessment and the factors influencing heavy metals (HM) in the soil at the municipal solid waste landfill sites (MSWLs) were studied by literature review, field survey, and statistical methods. The results indicated that the dominant HM contamination in the soil at the MSWLs was caused by chromium (Cr) with the Nemero index values (PI) from 22.7 to 44.3 and zinc (Zn) with the PI from 0.7 to 9.8. There were significant differences in the Cr, mercury (Hg), lead (Pb), Zn, and arsenic (As) concentrations between soil samples from sanitary and non-sanitary landfills (NSLs) where HM contamination (PI = 10.9) was more obvious. As (CRAAs = 2.35 × 10-4) and cadmium (Cd) (CRACd = 1.45 × 10-4) posed potential carcinogenic health effects. The soil Cd concentration had a significant negative correlation (r = -0.476**) with the landfill age. The soil As concentration had a significant positive correlation (r = 0.472**) with rainfall in NSLs. There were significant differences in the As (P = 0.042) and copper (Cu) (P = 0.042) concentrations between soil samples from the surrounding areas of MSWLs and the base where soil had higher HM concentrations. For the efficient prevention of HM ecological risk, a scientific site selection, undamaged coverage and anti-seepage systems, standardized management, and ongoing monitoring are required.
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Affiliation(s)
- Shuangchao Wang
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China; College of Ecology and Environment (Chengdu University of Technology), Chengdu 610059, China
| | - Zhiyong Han
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China; College of Ecology and Environment (Chengdu University of Technology), Chengdu 610059, China.
| | - Jin Wang
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China; College of Ecology and Environment (Chengdu University of Technology), Chengdu 610059, China
| | - Xiaosong He
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhiqiang Zhou
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China; College of Ecology and Environment (Chengdu University of Technology), Chengdu 610059, China
| | - Xinran Hu
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China; College of Ecology and Environment (Chengdu University of Technology), Chengdu 610059, China
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