1
|
Liu M, Zheng H, Li H, Chen F, Cui B, Lou L, Wang W, Zhang H, Chen C, Lin H, Jiang Y, Ye J, Yan M, Leung KMY, Cai M. Pyrogenic PAHs Have Different Biogeochemical Fates in the Eastern Indian Ocean. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:22405-22416. [PMID: 39625406 DOI: 10.1021/acs.est.4c11914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2024]
Abstract
Understanding the fate of polycyclic aromatic hydrocarbons (PAHs) in the deep ocean is crucial for elucidating the biogeochemical cycle of organic carbon under anthropogenic influences. In this study, surface sediments were collected from the deep sea of the Eastern Indian Ocean (water depth: 2161-4545 m) and analyzed for 29 semivolatile organic compounds (SVOCs), including parent PAHs and their alkylated derivatives, as well as source biomarkers. The target SVOCs (∑29SVOCs: 23.0-183 ng/g, ∑16PAHs: 11.3-93.3 ng/g) were mainly from pyrogenic sources, namely coal combustion, traffic emissions, and wood burning. The contributions from wood burning and coal combustion exhibited distinct trends with increasing total organic carbon contents, suggesting different dominant biogeochemical behaviors. Major fractions of PAHs from wood burning can be biodegraded or photodegraded, leading to a depletion-dominated fate in the water column. Conversely, PAHs from coal combustion showed an accumulation-dominated fate via their sedimentation due to their persistence and hydrophobicity. This study highlights the distinct biogeochemical fates of PAHs from biomass or fossil fuel combustion in deep oceans and has implications for the marine cycle of refractory organic carbon under anthropogenic impacts.
Collapse
Affiliation(s)
- Mengyang Liu
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
- Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China
| | - Haowen Zheng
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Hongliang Li
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Fajin Chen
- College of Ocean and Meteorology and Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China
| | - Bowen Cui
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Linghao Lou
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Weimin Wang
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Haifeng Zhang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Chunqing Chen
- College of Ocean and Meteorology and Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China
| | - Huiju Lin
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
| | - Yan Jiang
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
| | - Jiandong Ye
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Meng Yan
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
- Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China
| | - Kenneth M Y Leung
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
- Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China
| | - Minggang Cai
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| |
Collapse
|
2
|
Liu M, Zheng H, Li H, Chen F, Lou L, Wang W, Zhang H, Chen C, Ye J, Yan M, Leung KMY, Cai M. Field evidence and modeling validation of biogeochemical controls on the deposition of persistent organic pollutants in the deep ocean. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136395. [PMID: 39549397 DOI: 10.1016/j.jhazmat.2024.136395] [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: 08/12/2024] [Revised: 11/02/2024] [Accepted: 11/02/2024] [Indexed: 11/18/2024]
Abstract
Deposition in the deep ocean plays a crucial role in the global sink of persistent organic pollutants (POPs), yet observation-based assessments of their biogeochemical cycling are scarce. In this study, surface sediments were collected from deep sea of the Eastern Indian Ocean (2161-4545 m) and analyzed for organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs). Long-range atmospheric transport was identified as the dominant pathway for OCPs (36.7-762.0 pg/g) and PCBs (25.5-110.0 pg/g) to reach the basin area from surrounding agricultural, manufacturing, and combustion emissions. Besides the TOC-dependent deposition, unique hydrodynamic conditions in the mid-ocean ridge might influence the transport and accumulation of POPs by altering their resuspension and repartitioning processes. Results of the machine learning analysis suggested that logKOW, TOC content, and pollutant residence time in the ocean are important parameters in determining PCB concentrations in the Indian Ocean. Additionally, concentrations of POPs generally exhibited logarithmic relationships with microplastic abundances, indicating that microplastics act as potential carriers for transporting these pollutants to deep-sea sediments. This study revealed the biogeochemical controls on the deposition of OCPs and PCBs in the Indian Ocean by combining field observation and model simulation. Given the rapid rate of surface warming and various biogeochemical responses in the Indian Ocean, it is recommended to conduct long-term, high-resolution field observations to understand the dynamic fate of POPs in these changing ocean environments.
Collapse
Affiliation(s)
- Mengyang Liu
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China; State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong, China; Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
| | - Haowen Zheng
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
| | - Hongliang Li
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Fajin Chen
- College of Ocean and Meteorology and Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
| | - Linghao Lou
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
| | - Weimin Wang
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
| | - Haifeng Zhang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Chunqing Chen
- College of Ocean and Meteorology and Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
| | - Jiandong Ye
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
| | - Meng Yan
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong, China; Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
| | - Kenneth M Y Leung
- State Key Laboratory of Marine Pollution, Department of Chemistry, and School of Energy and Environment, City University of Hong Kong, Hong Kong, China; Research Centre for the Oceans and Human Health, City University of Hong Kong Shenzhen Research Institute, Shenzhen, China.
| | - Minggang Cai
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
| |
Collapse
|
3
|
Xu C, Goranov AI, Kaplan DI, Lin P, Yeager CM, Patterson N, Jiang H, Hatcher PG, Santschi PH. Molecular features of uranium-binding natural organic matter in a riparian wetland determined by ultrahigh resolution mass spectrometry. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174867. [PMID: 39032753 DOI: 10.1016/j.scitotenv.2024.174867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 07/16/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
Tims Branch riparian wetland located in South Carolina, USA has immobilized 94 % of the U released >50 years ago from a nuclear fuel fabrication facility. Sediment organic matter (OM) has been shown to play an important role in immobilizing U. Yet, uranium-OM-mineral interactions at the molecular scale have never been investigated at ambient concentrations. The objectives of this study were to extract, purify, and concentrate U-bound sediment OM along the stream water pathway and perform molecular characterization using Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS). Out of 9614 identified formulas, 715 contained U. These U-containing formulas were enriched with Fe, N, and/or S compared to the total OM. Lignin-like and protein-like molecules accounted for 40 % and 19 % of the U-containing formulas, respectively. Phosphorus-containing formulas were found to exert an insignificant influence on complexing U. U-containing formulas in the 'mobile' (groundwater extractable) OM fraction had lower (reduced) nominal oxidation states of carbon (NOSC); and less aromatic moieties than OM recovered from the 'immobile' (sodium pyrophosphate extractable) OM fraction. U-containing formulas in the redox interfacial zones (stream banks) compared to those in nearby up-slope zones tended to have smaller molecular weights; lower NOSC; higher contents of COO and/or CONO functional groups; and higher abundance of Fe-containing formulas. Fe was present in 38 % of the U-containing formulas but only 20 % of the total OM formulas. It is postulated that Fe played an important role in stabilizing the structure of sedimentary OM, especially U-containing compounds. The identification for the first time of hundreds of Fe-U-OM formulas demonstrates the complexity of such system is much greater than commonly believed and numerically predicting U binding behavior in OM-rich systems may require greater use of statistical or artificial intelligence approaches rather than deterministic approaches limited to measuring metal complexation with well-defined individual analogue organic ligands.
Collapse
Affiliation(s)
- Chen Xu
- Department of Marine and Coastal Environmental Science, Texas A & M University, Galveston Campus, Galveston, TX 77553, USA.
| | - Aleksandar I Goranov
- Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, VA 23529, USA
| | - Daniel I Kaplan
- Savannah River Ecology Laboratory, University of Georgia, Aiken, SC 29802, USA
| | - Peng Lin
- Savannah River Ecology Laboratory, University of Georgia, Aiken, SC 29802, USA
| | - Chris M Yeager
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Nicole Patterson
- Department of Marine and Coastal Environmental Science, Texas A & M University, Galveston Campus, Galveston, TX 77553, USA
| | - Helen Jiang
- Department of Marine and Coastal Environmental Science, Texas A & M University, Galveston Campus, Galveston, TX 77553, USA
| | - Patrick G Hatcher
- Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, VA 23529, USA
| | - Peter H Santschi
- Department of Marine and Coastal Environmental Science, Texas A & M University, Galveston Campus, Galveston, TX 77553, USA
| |
Collapse
|
4
|
Li Y, Chen F, Huang C, Zeng J, Lin F. Sediment record of heavy metals in Xincun Lagoon indicating anthropogenic impact over the last 200 years. MARINE POLLUTION BULLETIN 2024; 202:116350. [PMID: 38583221 DOI: 10.1016/j.marpolbul.2024.116350] [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: 02/05/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Abstract
Anthropogenic metal pollution is a leading environmental problem in southern China, especially in remote regions where its impact remains poorly understood. This study investigates the historical variation of heavy metal pollution over the last 200 years using a sediment core from Xincun Lagoon, Hainan Island, South China. The temporal evolution of heavy metal pollution aligns with China's socioeconomic development. Prior to the 1950s, heavy metal concentrations were at geochemical background levels, reflecting China's agrarian status. Since the 1950s, the increased heavy metal accumulation may be attributed to intensified human activities linked to rapid urbanization and industrialization. Despite the increase in heavy metal enrichments since the 1950s, Xincun Lagoon currently faces a low ecological risk.
Collapse
Affiliation(s)
- Yilan Li
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Fajin Chen
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, China.
| | - Chao Huang
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, China.
| | - Jinchao Zeng
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Feng Lin
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| |
Collapse
|
5
|
He L, Chen G, Wang X, Shen J, Zhang H, Lin Y, Shen Y, Lang F, Gong C. Pollution Characteristics and Risk Assessment of Heavy Metals in the Sediments of the Inflow Rivers of Dianchi Lake, China. TOXICS 2024; 12:322. [PMID: 38787101 PMCID: PMC11125836 DOI: 10.3390/toxics12050322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
To explore the contamination status and identify the source of the heavy metals in the sediments in the major inflow rivers of Dianchi Lake in China, sediment samples were collected and analyzed. Specifically, the distribution, source, water quality, and health risk assessment of the heavy metals were analyzed using correlation analysis (CA), principal component analysis (PCA), the heavy metal contamination factor (Cf), the pollution load index (PLI), and the potential ecological risk index (PERI). Additionally, the chemical fractions were analyzed for mobility characteristics. The results indicate that the average concentration of the heavy metals in the sediment ranked in the descending order of Zn > Cr > Cu > Pb > As > Ni > Cd > Hg, and most of the elements existed in less-mobile forms. The Cfwas in the order of Hg > Zn > Cd > As > Pb > Cr > Ni; the accumulation of Hg, Zn, Cd, and As was obvious. Although the spatial variability of the heavy metal contents was pronounced, the synthetical evaluation index of the PLI and PERI both reached a high pollution level. The PCA and CA results indicate that industrial, transportation, and agricultural emissions were the dominant factors causing heavy metal pollution. These results provide important data for improving water resource management efficiency and heavy metal pollution prevention in Dianchi Lake.
Collapse
Affiliation(s)
- Liwei He
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Guangye Chen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Xinze Wang
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Jian Shen
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Hongjiao Zhang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yuanyuan Lin
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yang Shen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Feiyan Lang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Chenglei Gong
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| |
Collapse
|
6
|
Qian J, Hu T, Xiong H, Cao X, Liu F, Gosnell KJ, Xie M, Chen R, Tan QG. Turbid Waters and Clearer Standards: Refining Water Quality Criteria for Coastal Environments by Encompassing Metal Bioavailability from Suspended Particles. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5244-5254. [PMID: 38466635 DOI: 10.1021/acs.est.3c09599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Suspended particulate matter (SPM) carries a major fraction of metals in turbid coastal waters, markedly influencing metal bioaccumulation and posing risks to marine life. However, its effects are often overlooked in current water quality criteria for metals, primarily due to challenges in quantifying SPM's contribution. This contribution depends on the SPM concentration, metal distribution coefficients (Kd), and the bioavailability of SPM-bound metals (assimilation efficiency, AE), which can collectively be integrated as a modifying factor (MF). Accordingly, we developed a new stable isotope method to measure metal AE by individual organisms from SPM, employing the widely distributed filter-feeding clam Ruditapes philippinarum as a representative species. Assessing SPM from 23 coastal sites in China, we found average AEs of 42% for Zn, 26% for Cd, 20% for Cu, 8% for Ni, and 6% for Pb. Moreover, using stable isotope methods, we determined metal Kd of SPM from these sites, which can be well predicted by the total organic carbon and iron content (R2 = 0.977). We calculated MFs using a Monte Carlo method. The calculated MFs are in the range 9.9-43 for Pb, 8.5-37 for Zn, 2.9-9.7 for Cu, 1.4-2.7 for Ni, and 1.1-1.6 for Cd, suggesting that dissolved-metal-based criteria values should be divided by MFs to provide adequate protection to aquatic life. This study provides foundational guidelines to refine water quality criteria in turbid waters and protect coastal ecosystems.
Collapse
Affiliation(s)
- Jing Qian
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Tingsheng Hu
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Haiyan Xiong
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Xue Cao
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Fengjie Liu
- Grantham Institute - Climate Change and the Environment and Department of Life Sciences, Imperial College London, Exhibition Road, London SW7 2AZ, U.K
| | | | - Minwei Xie
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Rong Chen
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
| | - Qiao-Guo Tan
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, Fujian, China
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel D-24148, Germany
| |
Collapse
|