Water Quality Analysis and Evaluation of Eutrophication in a Swamp Wetland in the Permafrost Region of the Lesser Khingan Mountains, China

Che, Lina; Wan, Luhe

doi:10.1007/s00128-021-03359-5

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…The classification criteria are as follows [38]: poor trophic state-TLI(∑) < 30; mesotrophic status-30 ≤ TLI(∑) ≤ 50; rich nutrition-TLI(∑) > 50; mild eutrophication-50 < TLI(∑) ≤ 60; medium eutrophication-60 < TLI(∑) ≤ 70; severe eutrophication-TLI(∑) > 70.…”

Section: Evaluation Of the Comprehensive Nutritional Status Of Lake W...mentioning

confidence: 99%

Studying the Metazoan Zooplankton Community Characteristics and Evaluating the Water Quality Based on the Ecological and Functional Zones in Gaoyou Lake

Guo,

Mo,

et al. 2023

Water

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To study the metazoan zooplankton community structure and water quality, we investigated the amount of metazoan zooplankton and the water quality in Gaoyou Lake from January to December 2022. Furthermore, we also evaluated the multi-index and nutritional status of Gaoyou Lake using the comprehensive nutritional status index of water quality, dominant population composition of the metazoan zooplankton, B/T index, and Shannon–Weaver diversity index based on the situation of each ecological and functional zone. The results indicated that the metazoan zooplankton of Gaoyou Lake included 21 families, 31 genera, and 63 species. The rotifers had 8 families, 16 genera, and 34 species, accounting for 53.9% of all species. The cladocerans had 6 families, 7 genera, and 16 species, which accounted for 25.4% of all species. The copepods had 7 families, 8 genera, and 13 species, that accounted for 20.7% of all species. The density and species of small metazoan zooplankton (rotifers) had a higher proportion than large metazoan zooplankton (crustaceans). The average annual metazoan zooplankton density was 1595.7 ind./L, the average annual biomass was 4.31 mg/L, the average annual total nitrogen (TN) was 1.101 mg/L, and the average annual total phosphorus (TP) was 0.082 mg/L. The TN and TP of the Gaoyou Lake were over the standard. The comprehensive nutritional status indices of the water quality in the entire lake and the ecological and functional areas were consistent with the metazoan zooplankton evaluation results, which determined that Gaoyou Lake showed mild eutrophication.

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Section: Evaluation Of the Comprehensive Nutritional Status Of Lake W...mentioning

confidence: 99%

Studying the Metazoan Zooplankton Community Characteristics and Evaluating the Water Quality Based on the Ecological and Functional Zones in Gaoyou Lake

Guo,

Mo,

et al. 2023

Water

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“…32−38 In permafrost ecosystems, waterlogging following thaw improved the conversion of Fe(III) to soluble Fe(II) and associated organic carbon mobilization into the porewater along a thaw gradient, 39,40 which might have a subsequent negative impact on lakes and river basin regions impacted by permafrostthaw. 41,42 Recent studies observed a strong correlation between C and Fe (III or II) and organic matter in both Yedoma 22 and non-Yedoma permafrost. 40 Due to its high ice content (ice wedges, segregated ice, pore ice) Yedoma permafrost is highly vulnerable to thermokarst and thermoerosional processes, 43 which might lead to posterior organic C release and mineralization.…”

Section: Introductionmentioning

confidence: 99%

“…Beyond oxygen availability, organo-mineral associations play a crucial role in DOM biogeochemistry in various environmental systems due to complexation reactions such as adsorption, coprecipitation, and aggregation. − Fe-bearing minerals are recognized as critical moderators of the temporal and spatial abundance of C in soils. − In permafrost ecosystems, waterlogging following thaw improved the conversion of Fe(III) to soluble Fe(II) and associated organic carbon mobilization into the porewater along a thaw gradient, , which might have a subsequent negative impact on lakes and river basin regions impacted by permafrost-thaw. , Recent studies observed a strong correlation between C and Fe (III or II) and organic matter in both Yedoma and non-Yedoma permafrost . Due to its high ice content (ice wedges, segregated ice, pore ice) Yedoma permafrost is highly vulnerable to thermokarst and thermoerosional processes, which might lead to posterior organic C release and mineralization. ,, …”

Section: Introductionmentioning

confidence: 99%

Carbon Fate, Iron Dissolution, and Molecular Characterization of Dissolved Organic Matter in Thawed Yedoma Permafrost under Varying Redox Conditions

Carneiro Barreto,

Wani,

Goranov

et al. 2024

Environ. Sci. Technol.

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Permafrost soils store ∼50% of terrestrial C, with Yedoma permafrost containing ∼25% of the total C. Permafrost is undergoing degradation due to thawing, with potentially hazardous effects on landscape stability and water resources. Complicating ongoing efforts to project the ultimate fate of deep permafrost C is the poorly constrained role of the redox environment, Fe-minerals, and its redox-active phases, which may modulate organic Cabundance, composition, and reactivity through complexation and catalytic processes. We characterized C fate, Fe fractions, and dissolved organic matter (DOM) isolates from permafrost-thaw under varying redox conditions. Under anoxic incubation conditions, 33% of the initial C was lost as gaseous species within 21 days, while under oxic conditions, 58% of C was lost. Under anoxic incubation, 42% of the total initial C was preserved in a dissolved fraction. Lignin-like compounds dominated permafrost-thaw, followed by lipid-and protein-like compounds. However, under anoxic incubation conditions, there was accumulation of lipid-like compounds and reduction in the nominal oxidation state of C over time, regardless of the compound classes. DOM dynamics may be affected by microbial activity and abiotic processes mediated by Fe-minerals related to selective DOM fractionation and/or its oxidation. Chemodiversity DOM signatures could serve as valuable proxies to track redox conditions with permafrost-thaw.

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Evaluation of water quality based on artificial intelligence: performance of multilayer perceptron neural networks and multiple linear regression versus water quality indexes

Palabıyık,

Akkan

2024

Environ Dev Sustain

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A significant problem in the sustainable management of water resources is the lack of funding and long-term monitoring. Today, this problem has been greatly reduced by innovative, adaptive, and sustainable learning methods. Therefore, in this study, a sample river was selected and 14 variables observed at 5 different points for 12 months, traditionally reference values, were calculated by multivariate statistical analysis methods to obtain the water quality index (WQI). The WQI index was estimated using different algorithms including the innovatively used multiple linear regression (MLR), multilayer perceptron artificial neural networks (MLP-ANN) and various machine learning estimation algorithms including neural networks (NN), support vector machine (SVM), gaussian process regression (GPR), ensemble and decision tree approach. By comparing the results, the most appropriate method was selected. The determination of water quality was best estimated by the multiple linear regression (MLR) model. As a result of this MLR modeling, high prediction performance was obtained with accuracy values of R2 = 1.0, RMSE = 0.0025, and MAPE = 0.0296. The root mean square error (RMSE), percent mean absolute error (MAE), and coefficient of determination (R2) were used to determine the accuracy of the models. These results confirm that both MLR model can be used to predict WQI with very high accuracy. It seems that it can contribute to strengthening water quality management. As a result, as with the powerful results of the innovative approaches (MLR and MLP-ANN) and other assessments, it was found that the presence of intense anthropogenic pressure in the study area and the current situation needs immediate remediation.

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Water Quality Analysis and Evaluation of Eutrophication in a Swamp Wetland in the Permafrost Region of the Lesser Khingan Mountains, China

Cited by 7 publications

References 26 publications

Studying the Metazoan Zooplankton Community Characteristics and Evaluating the Water Quality Based on the Ecological and Functional Zones in Gaoyou Lake

Studying the Metazoan Zooplankton Community Characteristics and Evaluating the Water Quality Based on the Ecological and Functional Zones in Gaoyou Lake

Carbon Fate, Iron Dissolution, and Molecular Characterization of Dissolved Organic Matter in Thawed Yedoma Permafrost under Varying Redox Conditions

Evaluation of water quality based on artificial intelligence: performance of multilayer perceptron neural networks and multiple linear regression versus water quality indexes

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