The Distribution of DOM in the Wanggang River Flowing into the East China Sea

Jie, Ma; Pei, Dongyan; Zhang, Xuhan; Lai, Qiuying; He, Fei; Fu, Chao; Liu, Jianhui; Li, Weixin

doi:10.3390/ijerph19159219

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…Farmland water was the primary contributor to pollution in the Wanggang River, likely due to the significant number of farms situated along the river (Ma et al, 2022 ). Domestic sewage had a minimal impact on pollution, as it is mostly piped away from the river, resulting in low levels of untreated sewage in natural water bodies.…”

Section: Resultsmentioning

confidence: 99%

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

Lai

et al. 2023

Front. Microbiol.

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The excessive input of nutrients into rivers can lead to contamination and eutrophication, which poses a threat to the health of aquatic ecosystems. It is crucial to identify the sources of contaminants to develop effective management plans for eutrophication. However, traditional methods for identifying pollution sources have been insufficient, making it difficult to manage river health effectively. High-throughput sequencing offers a novel method for microbial community source tracking, which can help identify dominant pollution sources in rivers. The Wanggang River was selected for study, as it has suffered accelerated eutrophication due to considerable nutrient input from riparian pollutants. The present study identified the dominant microbial communities in the Wanggang River basin, including Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Verrucomicrobia, and Firmicutes. The Source Tracker machine-learning classification system was used to create source-specific microbial community fingerprints to determine the primary sources of contaminants in the basin, with agricultural fertilizer being identified as the main pollutant source. By identifying the microbial communities of potential pollution sources, the study determined the contributing pollutant sources in several major sections of the Wanggang River, including industry, urban land, pond culture, and livestock land. These findings can be used to improve the identification of pollution sources in specific environments and develop effective pollution management plans for polluted river water.

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Section: Resultsmentioning

confidence: 99%

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

Lai

et al. 2023

Front. Microbiol.

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“…Dissolved organic matter (DOM) plays a critical role in the breakdown of soil nutrients, as well as in the growth and metabolism of microorganisms in the field [ 55 ]. The current study found that the value of FI was greater than 1.9 under all treatments, suggesting that microbial metabolism provides the majority of DOM [ 56 ]. Moreover, the value of the BIX lower than 1 under all treatments indicated the autochthonous or biological production of DOM components sourced from terrestrial DOM [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of Biochar and Straw Amendment on Soil Fertility and Microbial Communities in Paddy Soils

Xia,

Shen,

Riaz

et al. 2024

Plants

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Straw and biochar, two commonly used soil amendments, have been shown to enhance soil fertility and the composition of microbial communities. To compare the effects of straw and biochar on soil fertility, particularly focusing on soil dissolved organic matter (DOM) components, and the physiochemical properties of soil and microbial communities, a combination of high-throughput sequencing and three-dimensional fluorescence mapping technology was employed. In our study, we set up four treatments, i.e., without biochar and straw (B0S0); biochar only (B1S0); straw returning only (B0S1); and biochar and straw (B1S1). Our results demonstrate that soil organic matter (SOM), available nitrogen (AN), and available potassium (AK) were increased by 34.71%, 22.96%, and 61.68%, respectively, under the B1S1 treatment compared to the B0S0 treatment. In addition, microbial carbon (MBC), dissolved organic carbon (DOC), and particulate organic carbon (POC) were significantly increased with the B1S1 treatment, by 55.13%, 15.59%, and 125.46%, respectively. The results also show an enhancement in microbial diversity, the composition of microbial communities, and the degree of soil humification with the application of biochar and straw. Moreover, by comparing the differences in soil fertility, DOM components, and other indicators under different treatments, the combined treatments of biochar and straw had a more significant positive impact on paddy soil fertility compared to biochar. In conclusion, our study revealed the combination of straw incorporation and biochar application has significant impacts and is considered an effective approach to improving soil fertility.

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“…Many scholars have successively used the EEM-PARAFAC technique to study the properties of DOM in water bodies, such as the different source characteristics of DOM in the ocean and the mechanism of DOM component changes in nearshore waters, surface sediments, permafrost, etc. [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Dissolved Organic Matter and Its Relationship with Water Quality along the Downstream of the Kaidu River in China

Cheng

Fei

Tan

et al. 2022

Water

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The variability in the quality of water that runs along the course of a river, flowing out of a mountain pass, through an agricultural oasis and into a lake, has been a key topic of research in recent years. In this study, the characteristics of dissolved organic matter (DOM) along the river flow, and its relationship with water quality, were analyzed using the Canadian water quality index (CWQI), parallel factor (PARAFAC) and self-organizing map (SOM). The study results include: (1) The conclusion of field sampling along the lower reaches of the Kaidu River and laboratory measurements of water quality parameters, using CWQI to determine the water quality index of the lower Kaidu River, ranging between 59.58 and 93.47. The water quality of the lower reaches of the Kaidu River generally ranges between moderate and good, and can meet the water use requirements of Class II water function standards. (2) The DOM composition of the river predominantly contained three fluorescence components, while the three fluorescence indices of the water body varied less in different river sections. Based on the SOM training model, the fluorescence intensity of the C1 component was larger among the three fluorescence components, followed by the C2 component, and the smallest fluorescence intensity of the C3, which was dominated by humic-like substances, with a high authigenic origin and humification degree. (3) The fluorescence index and fluorescence components were correlated with water quality parameters, and it was found that C1, C2 and C3 were negative and correlated significantly with SO42- and Total-dissolved solids (TDS) concentrations; FI, HIX and BIX showed strong positive correlations with SAL and Cu and negative correlations with dissolved oxygen (DO). This study provides a scientific basis for surface water quality monitoring and water quality pollution management in the Kaidu River.

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The Distribution of DOM in the Wanggang River Flowing into the East China Sea

Cited by 4 publications

References 49 publications

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

Effects of Biochar and Straw Amendment on Soil Fertility and Microbial Communities in Paddy Soils

Characteristics of Dissolved Organic Matter and Its Relationship with Water Quality along the Downstream of the Kaidu River in China

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