Relationship between the characterization of natural colloids and metal elements in surface waters

Yan, Caixia; Sheng, Yanru; Jiang, Min; Ding, Cong; Li, Qian; Luo, Ziwei; Ding, Mingjun; Nie, Minghua

doi:10.1007/s11356-020-09500-x

Cited by 23 publications

(5 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…*The identities of the components were inferred using the OpenFluor database (https://openfluor.lablicate.com/). C1 (295/430 nm) can be characterized as a terrigenous humic‐like component and is commonly found in marine environments, wastewater, wetlands, and agricultural environments (Graeber et al., 2012; Yan et al., 2020). C2 (230/410 nm) is a fulvic‐like component derived from plant material (Coble et al., 1998; Yan et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

“…C1 (295/430 nm) can be characterized as a terrigenous humic‐like component and is commonly found in marine environments, wastewater, wetlands, and agricultural environments (Graeber et al., 2012; Yan et al., 2020). C2 (230/410 nm) is a fulvic‐like component derived from plant material (Coble et al., 1998; Yan et al., 2020). C3 (285/340 nm) is a tryptophan‐like component (Murphy et al., 2011).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Iron Reduction Controls Carbon Mineralization in Aquaculture Shrimp Pond Sediments in Subtropical Estuaries

et al. 2022

View full text Add to dashboard Cite

Global aquaculture production has increased by 500% since the late 1980s to address the growing demand for aquatic proteins and decreasing fishery resources in natural aquatic ecosystems (FAO, 2016). More than 40% of global aquaculture production is carried out in earthen aquaculture ponds (Yuan et al., 2019). A total volume of 101 million tons of aquaculture was produced in 2014, and this volume is expected to continuously increase to 230 million tons in the next 20 years (FAO, 2014). Such huge increases in aquatic production depend heavily on

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Iron Reduction Controls Carbon Mineralization in Aquaculture Shrimp Pond Sediments in Subtropical Estuaries

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Water 2021, 13, 3629 8 of 13 reduction in C4, which suggested that C4 may be easily oxidized by potassium permanganate [68,69]. The results showed that COD was more sensitive to the reduction in C1 and C2, while CODMn was more sensitive to the reduction in C4, which suggested that we should pay attention to the change in C1, C2, and C4 and reduce their concentration in water to prevent possible organic pollution in Erhai Lake Basin.…”

Section: Performance Of Models and Variable Importancementioning

confidence: 99%

The Estimation of Chemical Oxygen Demand of Erhai Lake Basin and Its Links with DOM Fluorescent Components Using Machine Learning

Zhao

Shen

Feng

et al. 2021

Water

View full text Add to dashboard Cite

Water quality estimation tools based on real-time monitoring are essential for the effective management of organic pollution in watersheds. This study aims to monitor changes in the levels of chemical oxygen demand (COD, CODMn) and dissolved organic matter (DOM) in Erhai Lake Basin, exploring their relationships and the ability of DOM to estimate COD and CODMn. Excitation emission matrix–parallel factor analysis (EEM–PARAFAC) of DOM identified protein-like component (C1) and humic-like components (C2, C3, C4). Combined with random forest (RF), maximum fluorescence intensity (Fmax) values of components were selected as estimation parameters to establish models. Results proved that the COD of rivers was more sensitive to the reduction in C1 and C2, while CODMn was more sensitive to C4. The DOM of Erhai Lake thrived by internal sources, and the relationship between COD, CODMn, and DOM of Erhai Lake was more complicated than rivers (inflow rivers of Erhai Lake). Models for rivers achieved good estimations, and by adding dissolved oxygen and water temperature, the estimation ability of COD models for Erhai Lake was significantly improved. This study demonstrates that DOM-based machine learning can be used as an alternative tool for real-time monitoring of organic pollution and deepening the understanding of the relationship between COD, CODMn, and DOM, and provide a scientific basis for water quality management.

show abstract

“…NCs not only impact the carbon cycle of the natural and anthropogenic water bodies (Derrien et al, 2019), but also act as the important sorbent carriers for a variety of pollutants (e.g., metal ions, organic pollutants, etc.) due to the abundant active functional group in the aqueous environment (Yan et al, 2015;Yan et al, 2020). NCs are polydisperse matters, consisting of both inorganic substances (e.g.…”

Section: Introductionmentioning

confidence: 99%

Spectral Characteristic Of The Waters With Different Sizes Of Particles: Impact Of Hydrochemical Property And Land Use Type

Wang

Yan

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Natural colloids (NCs) are heterogeneous mixtures of particles in the aquatic environments that are strongly influenced by land use and hydrochemical properties between terrestrial and aquatic environments. However, the relevant study was paid little attention to the difference among the waters with different sizes of particles (e.g., suspended particulate matter-SPM, NCs, and the truly dissolved phase). In this study, the spectral properties of these different waters were investigated from different land-use types in the Yuan River basin, China. Results of the UV-visible absorption spectral showed that with the particle size increased, the aromaticity, chromophoric dissolved organic matter, and humification degree of organic matter increased, while the condensation degree decreased. Data analysis from the fluorescence indices indicated that the source and the autochthonous feature of the truly dissolved water differed from that of NCs and SPM. Whereas the protein-like component was mainly combined with the relatively larger size of particles (i.e., SPM and NCs), especially in the downstream. Redundancy analysis revealed that the spectral characteristics of the water samples were strongly influenced by the hydrochemical parameters (>45%) with comparison to land-use type (nearly 10%). Furthermore, the impact of land-use type on the spectral properties was differed between the large and small scale of the buffer strips and between the mainstream and the tributaries. And this effect was more significant on the fluorescence properties in the mainstream and the spectral properties for NCs than for SPM. The study helps to understand the biogeochemical effects of the waters with different particle sizes.

show abstract

Relationship between the characterization of natural colloids and metal elements in surface waters

Cited by 23 publications

References 69 publications

Iron Reduction Controls Carbon Mineralization in Aquaculture Shrimp Pond Sediments in Subtropical Estuaries

Iron Reduction Controls Carbon Mineralization in Aquaculture Shrimp Pond Sediments in Subtropical Estuaries

The Estimation of Chemical Oxygen Demand of Erhai Lake Basin and Its Links with DOM Fluorescent Components Using Machine Learning

Spectral Characteristic Of The Waters With Different Sizes Of Particles: Impact Of Hydrochemical Property And Land Use Type

Contact Info

Product

Resources

About