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Gaulier C, Zhou C, Gao Y, Guo W, Reichstädter M, Ma T, Baeyens W, Billon G. Investigation on trace metal speciation and distribution in the Scheldt estuary. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143827. [PMID: 33257074 DOI: 10.1016/j.scitotenv.2020.143827] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/16/2020] [Accepted: 11/02/2020] [Indexed: 06/12/2023]
Abstract
The biogeochemical behavior of Cd, Co, Cr, Cu, Ni and Pb along the historically polluted Scheldt estuary (Belgium - The Netherlands) was investigated in this study. As never studied before in this area, labile trace metals were measured using the passive sampling technique of Diffusive Gradients in Thin-films (DGT), while total dissolved and particulate trace metal concentrations were assessed using classic active sampling techniques. This dual approach allowed us to highlight the variations of trace metal speciation and distribution in the estuarine surface waters, considering environmental and physicochemical gradients along the transect. The large data set obtained was then compared with literature data of historical measurements along the Scheldt (from 1980 until now), but also from other estuaries. As emphasized by our results, trace metal mobility and partitioning along the Scheldt estuary was mainly driven by biogeochemical reactions which were strongly influenced by gradients of specific estuarine physico-chemical parameters, such as salinity, turbidity, temperature and so on. Hence, all species of trace metals displayed a non-conservative behavior. More precisely, dissolved labile fractions of trace metals showed higher levels in the middle estuary, where many solubilization and remobilization processes occurred due to turbulent mixing mechanisms and an increasing salinity. Our study confirmed the decreasing trend historically observed for particulate metals along the Scheldt, as well as the rising concentrations recorded for dissolved trace metals which might also lead to an increase of their labile fraction measured by the DGT. Finally, these preliminary results suggested that a more regular monitoring of labile metal along the Scheldt estuary is essential to have an in-depth understanding of trace metal speciation and to review bioavailability of trace metals within estuarine ecosystems.
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Affiliation(s)
- Camille Gaulier
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; LASIRE CNRS UMR 8516, Université de Lille, Cité Scientifique, 59655 Villeneuve d'Ascq Cedex, France
| | - Chunyang Zhou
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Yue Gao
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
| | - Wei Guo
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
| | - Marek Reichstädter
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; Brno University of Technology, Faculty of Chemistry, Purkynova 118, Brno 62100, Czech Republic
| | - Tianhui Ma
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Willy Baeyens
- Analytical, Environmental and Geo-Chemistry Department (AMGC), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Gabriel Billon
- LASIRE CNRS UMR 8516, Université de Lille, Cité Scientifique, 59655 Villeneuve d'Ascq Cedex, France
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Artigas FJ, Yao Y, Grzyb J, Levinsky Y. Metal contamination pathways of a restored marshland in an industrial estuary. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-03577-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Meng B, Liu JL, Bao K, Sun B. Methodologies and Management Framework for Restoration of Wetland Hydrologic Connectivity: A Synthesis. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2020; 16:438-451. [PMID: 32100941 DOI: 10.1002/ieam.4256] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 12/13/2019] [Accepted: 02/20/2020] [Indexed: 06/10/2023]
Abstract
Under the dual influences of high-intensity anthropogenic activity and climate change, wetland hydrologic connectivity (HC) has decreased significantly, resulting in the severe fragmentation of wetlands, a decrease in wetland area, and a degradation of hydrological functions, resulting in a worsening disaster response to floods and droughts. Dynamic changes in wetland HC are affected by a variety of factors. Many degraded wetlands have undergone measures to restore HC. Recovery can improve the HC pattern of degraded wetlands. Based on the knowledge of practitioners and a review of the literature, it was found that recovery measures can be divided into structural recovery and functional recovery according to the specific recovery objectives. However, the current recovery method lacks a holistic analysis of the HC pattern. To this end, we propose a hydrologic network-water balance-based HC recovery and management framework that overcomes the limitations of single-drive-factor repair and local repair effects. Integr Environ Assess Manag 2020;16:438-451. © 2020 SETAC.
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Affiliation(s)
- Bo Meng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Jing-Ling Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Kun Bao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Bin Sun
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
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Wang L, Li Q, Bi H, Mao XZ. Human impacts and changes in the coastal waters of south China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 562:108-114. [PMID: 27099994 DOI: 10.1016/j.scitotenv.2016.03.216] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/28/2016] [Accepted: 03/28/2016] [Indexed: 06/05/2023]
Abstract
Human impact on the environment remains at the center of the debate on global environmental change. Using the Hong Kong-Shenzhen corridor in south China as an example, we present evidence that rapid urbanization and economic development in coastal areas were the dominant factors causing rapid changes in coastal waters. From 1990 to 2012, coastal seawater temperature increased ~0.060°C per year, sea level rose 4.4mm per year and pH decreased from 8.2 to 7.7, much faster than global averages. In the same period, there were exponential increases in the local population, gross domestic product and land fill area. Empirical analyses suggest that the large increase in the population affected local temperature, and economic development had a major impact on local pH. Results also show that pH and temperature were significantly correlated with local sea level rise, but pH had more predictive power, suggesting it could be considered a predictor for changes in local sea level. We conclude that human activities could significantly exacerbate local environmental changes which should be considered in predictive models and future development plans in coastal areas.
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Affiliation(s)
- Linlin Wang
- Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, PR China
| | - Qiang Li
- Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, PR China
| | - Hongsheng Bi
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States.
| | - Xian-Zhong Mao
- Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, PR China.
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