Evaluating the Impact of Long Term Hydrodynamic Conditions on the Release of Metals from Contaminated Sediments in Taihu Lake, China

Wang, P. F.; Geng, Ningbo; Wang, C.; Qian, Jin; Hou, Jun; Qi, Nana

doi:10.3808/jei.201500318

Cited by 9 publications

(5 citation statements)

References 37 publications

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“…Consideration of various uncertainties except data uncertainties can also be an alternative direction in the following studies. More case-studies such as enabling long-term high-resolution climate projections over the ARB are required to verify the reliability of this approach in various downscaling or other related studies (Dong et al, 2014a(Dong et al, , 2014b(Dong et al, , 2015Wang et al, 2016), reveal its limitations for further improvement, and extend its potential contributions.…”

Section: Discussionmentioning

confidence: 99%

Recursive multivariate principal‐monotonicity inferential climate downscaling

Cheng

Huang

Dong

et al. 2017

Quart J Royal Meteoro Soc

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A recursive multivariate principal‐monotonicity inferential downscaling approach (ReMPMID) is proposed for climate downscaling under complexities of data uncertainties, nonlinear predictor–predictand correspondences, predictand dependencies, non‐normal distributions, spatial homogeneities, and temporal non‐stationarities. This approach is applied to the Athabasca River Basin (ARB) to verify methodological effectiveness. Many findings are revealed. For instance, ReMPMID may enable improvement of statistical downscaling reliability in comparison with selected existing approaches under these complexities at least for the ARB. The overall accuracies of ReMPMID are relatively high for temperature, while being acceptable for precipitation at the multi‐year scale. This approach may overestimate temperature in spring and winter and precipitation in summer and autumn while underestimating temperature in summer and autumn and precipitation in spring and winter to a relatively small extent. The modelling accuracies are not sensitive to one parameter (i.e. the statistical significance level) and significantly vary with another parameter (i.e. the minimum partition row number, Nmin). The calibration accuracies decrease with the climbing of Nmin and there is not a significant monotonic relationship between Nmin and the verification accuracies. The optimal value of Nmin varies with grids and predictands and shows higher uncertainty for temperature compared with precipitation. The uncertainties in ReMPMID simulations increase from summer, autumn, spring to winter for temperature and from winter, spring, autumn to summer for precipitation. These findings are helpful for gaining insights into ReMPMID and the regional climate in the ARB or neighbouring regions.

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Section: Discussionmentioning

confidence: 99%

Recursive multivariate principal‐monotonicity inferential climate downscaling

Cheng

Huang

Dong

et al. 2017

Quart J Royal Meteoro Soc

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“…In the intertidal area, where marine and fresh water are mixed, salinity could increase the particulate phase of heavy metals by promoting the complexation of metal and organic matter [45]. An increase in DO in the aquatic environment can accelerate the oxidation rate of sulfides, decompose organic compounds, and facilitate the desorption of heavy metals and the breakdown of metal complexes, leading to the release of heavy metal ions [46]. The study of Calmano et al showed that changes in processes such as the oxidation of sulfides in sediments can lead to the release of heavy metals from the sediment into overlying water, while some of the heavy metals may be readsorbed or precipitated on the sediment [47].…”

Section: Physicochemical Conditions In the Aquatic Environmentmentioning

confidence: 99%

Migration and Transformation of Heavy Metal and Its Fate in Intertidal Sediments: A Review

Geng,

Xia,

et al. 2024

Processes

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Intertidal sediments are rich in biological resources, which are important for material circulation and energy exchange. Meanwhile, these areas can be treated as sinks as well as sources of coastal heavy metal pollutants. Due to the influence of the tide, the intertidal sediments are in a state of periodic flooding and exposure, and environmental factors such as dissolved oxygen, salinity and overlying water pressure are changeable. Heavy metals in sediments are prone to migration and transformation with the dynamic effects of tidal water and the changes in the environment factors, which increase the bioavailability of heavy metals. In this review, the characteristics of distribution and the bioavailability of heavy metals in intertidal sediments are described; the migration and transformation behavior of heavy metals and its influencing factors under tidal conditions are analyzed; and the mechanisms of heavy metal’s migration and transformation in the intertidal zone are summarized. Moreover, the bioaccumulation of heavy metal by organisms and the remediation techniques are discussed. Therefore, this review systematically summarizes the states of existence, the transport mechanisms, and the fate of heavy metals in the intertidal sediment, fills in the research gap of the cycling of heavy metal in the intertidal zone, and provides a theoretical basis for the control of heavy metal pollution.

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“…In addition, other influencing factors, like sorbent types and solution characteristics, could also be essential to determine the influence of ionic strength on contaminant sorption behaviors. Other than salting-out effect, mechanisms such as hydrophobic effect, π-π interaction, and complex formation 0.10 0.15 0.20 0.25 0.30 0.35 0.40 interaction might also be involved to elucidate the sorption of PHE on solid particles under the influence of different ionic strength Wang et al, 2016).…”

Section: The Influence Of Ionic Strength On Phe Sorption To Diatomitementioning

confidence: 99%

Sorption of Phenanthrene onto Diatomite under the Influences of Solution Chemistry: A Study of Linear Sorption based on Maximal Information Coefficient

Zhao¹,

Huang²,

Wang³

et al. 2016

J ENVIRON INFORM

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The effectiveness of diatomite as the low-cost sorbent in the removal of polycyclic aromatic hydrocarbons (PAHs) from water was investigated. The effects of ionic strength, pH, dissolved organic matter, and temperature on sorption of phenanthrene (PHE) to two types of diatomite clay (DM 545 and DM 577) were systematically studied. The maximal information coefficient (MIC) was calculated to reveal the linearity/nonlinearity in the sorption process under the influences of aqueous chemistry parameters. Results indicated that the solution parameters played an essential role in the PHE sorption behavior at the aqueous/diatomite interface. The sorption isotherms of PHE on diatomite at different temperatures could well fit the Freundlich equation. Thermodynamic studies confirmed that the sorption behavior of PHE on diatomite was spontaneous and exothermic from 283 to 303 K. The calculation of MIC revealed the linear relationship between the aqueous PAHs and sorbed PAHs at the water/diatomite interface. The results can be used to support the potential application of diatomite for the treatment of PAH-contaminated effluents.

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Evaluating the Impact of Long Term Hydrodynamic Conditions on the Release of Metals from Contaminated Sediments in Taihu Lake, China

Cited by 9 publications

References 37 publications

Recursive multivariate principal‐monotonicity inferential climate downscaling

Recursive multivariate principal‐monotonicity inferential climate downscaling

Migration and Transformation of Heavy Metal and Its Fate in Intertidal Sediments: A Review

Sorption of Phenanthrene onto Diatomite under the Influences of Solution Chemistry: A Study of Linear Sorption based on Maximal Information Coefficient

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