Recent advances in the field measurement of the diffusion flux of hydrophobic organic chemicals at the sediment-water interface

Liu, Huihui; Bao, Lian-Jun; Zeng, Eddy Y.

doi:10.1016/j.trac.2013.11.005

Cited by 23 publications

(13 citation statements)

References 58 publications

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“…Subsequently, the paired values of water quality versus wind direction in datasets WDTN, WDTP and WDCA were superimposed on the frequency plots to scrutinize how water quality was affected by wind direction. Previous studies showed that wind direction can be an important factor influencing algal distributions in Lake Tai [37].…”

Section: Analysis Methodsmentioning

confidence: 99%

Spatiotemporal Distribution of Eutrophication in Lake Tai as Affected by Wind

Zhang

Wang

et al. 2017

Water

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Abstract:One common hypothesis is that wind can affect concentrations of nutrients (i.e., nitrogen and phosphorus) and chlorophyll-a (Chl-a) in shallow lakes. However, the tests of this hypothesis have yet to be conclusive in existing literature. The objective of this study was to use long-term data to examine how wind direction and wind speed affect the spatiotemporal variations of total nitrogen (TN), total phosphorus (TP) and Chl-a in Lake Tai, a typical shallow lake located in east China. The results indicated that the concentrations of nutrients and Chl-a tended to decrease from the northwest to the southeast of Lake Tai, with the highest concentrations in the two leeward bays (namely Meiliang Bay and Zhushan Bay) in the northwestern part of the lake. In addition to possible artificial reasons (e.g., wastewater discharge), the prevalent southeastward winds in warm seasons (i.e., spring and summer) and northwestward winds in cool seasons (i.e., fall and winter) might be the major natural factor for such a northwest-southeast decreasing spatial pattern. For the lake as a whole, the concentrations of TN, TP and Chl-a were highest for a wind speed between 2.1 and 3.2 m·s −1 , which can be attributed to the idea that the wind-induced drifting and mixing effects might be dominant in the bays while the wind-induced drifting and resuspension effects could be more important in the other parts of the lake. Given that the water depth of the bays was relatively larger than that of the other parts, the drifting and mixing effects were likely dominant in the bays, as indicated by the negative relationships between the ratios of wind speed to lake depth, which can be a surrogate for the vertical distribution of wind-induced shear stress and the TN, TP and Chl-a concentration. Moreover, the decreasing temporal trend of wind speed in combination with the ongoing anthropogenic activities will likely increase the challenge for dealing with the eutrophication problem of Lake Tai.

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Section: Analysis Methodsmentioning

confidence: 99%

Spatiotemporal Distribution of Eutrophication in Lake Tai as Affected by Wind

Zhang

Wang

et al. 2017

Water

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“…Liu et al . [] provide a review of recent advances in the measurement of the diffusive flux of chemicals at the sediment‐water interface, describing a new sampler [ Liu et al ., ] which, unlike a conventional benthic chamber, does not need to assume a linear concentration gradient, though an estimation of the chemical diffusion coefficient in the overlying water is still required. Cho et al .…”

Section: Previous Workmentioning

confidence: 99%

Vertical variation of mixing within porous sediment beds below turbulent flows

Chandler

Guymer

Pearson

et al. 2016

Water Resources Research

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River ecosystems are influenced by contaminants in the water column, in the pore water and adsorbed to sediment particles. When exchange across the sediment‐water interface (hyporheic exchange) is included in modeling, the mixing coefficient is often assumed to be constant with depth below the interface. Novel fiber‐optic fluorometers have been developed and combined with a modified EROSIMESS system to quantify the vertical variation in mixing coefficient with depth below the sediment‐water interface. The study considered a range of particle diameters and bed shear velocities, with the permeability Péclet number, PeK between 1000 and 77,000 and the shear Reynolds number, Re*, between 5 and 600. Different parameterization of both an interface exchange coefficient and a spatially variable in‐sediment mixing coefficient are explored. The variation of in‐sediment mixing is described by an exponential function applicable over the full range of parameter combinations tested. The empirical relationship enables estimates of the depth to which concentrations of pollutants will penetrate into the bed sediment, allowing the region where exchange will occur faster than molecular diffusion to be determined.

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“…A diverse range of external forcing, such as tidal pumping, topographically-induced flow, wave pumping and velocity shear, can contribute to the transport of particles across the SWI (Santos et al, 2012;Huettel et al, 2014;Voermans et al, 2018). The chemical concentration gradient is the driving force for molecular diffusion across the SWI (Liu et al, 2014). Small-scale transport processes at the SWI include molecular diffusion, dispersion and turbulent mixing (Santos et al, 2012).…”

Section: Sediment-water Interface Diffusion Fluxmentioning

confidence: 99%

A review of mass flux monitoring and estimation methods for biogeochemical interface processes in watersheds

Gao

Yang

2020

J. Geogr. Sci.

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The magnitude of mass flux is closely associated with biogeochemical watershed processes, which can generate a considerable amount of pertinent information. Moreover, both the accuracy and precision of mass flux estimation results directly affects the perception of the ecological environmental status, which in turn affects both the formulation and implementation of river basin management planning. In practical applications, the true value of flux is unknown and can only be estimated. Flux results obtained using different monitoring and estimation methods also differ significantly. However, in existing studies on mass flux associated with biogeochemical watershed interfaces, the application of monitoring and estimation methods lacks uniform criteria or references. Accordingly, this study summarizes and deconstructs results from recent studies on biogeochemical watershed interface processes and compares the advantages, disadvantages and applicability of the monitoring and estimation methods used by these studies. This particular study is intended to be used as a reference for the selection of flux calculation methods.

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Recent advances in the field measurement of the diffusion flux of hydrophobic organic chemicals at the sediment-water interface

Cited by 23 publications

References 58 publications

Spatiotemporal Distribution of Eutrophication in Lake Tai as Affected by Wind

Spatiotemporal Distribution of Eutrophication in Lake Tai as Affected by Wind

Vertical variation of mixing within porous sediment beds below turbulent flows

A review of mass flux monitoring and estimation methods for biogeochemical interface processes in watersheds

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