Effect of a dam on the optical properties of different-sized fractions of dissolved organic matter in a mid-subtropical drinking water source reservoir

Sun, Qiyuan; Juan, José; Zheng, Yanmei; Wang, Feifeng; Wu, Chunshan; Xie, Rongrong

doi:10.1016/j.scitotenv.2017.04.175

Cited by 15 publications

(4 citation statements)

References 42 publications

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“…Based on the geographical distribution from the river to reservoir, river-reservoir systems are commonly used to describe its hybrid environmental properties. Previous studies mainly focused on the dissolved organic matter, pesticides, phthalate and heavy metals [18][19][20][21]. However, very few published papers have reported the pollution characteristics of antibiotics in the river-reservoir system and the impact of reservoirs on the spatiotemporal distribution of riverine antibiotics.…”

Section: Introductionmentioning

confidence: 99%

Occurrence, Distribution, and Risk Assessment of Antibiotics in a Subtropical River-Reservoir System

Chen

Zhang

et al. 2018

Water

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Antibiotic pollutions in the aquatic environment have attracted widespread attention due to their ubiquitous distribution and antibacterial properties. The occurrence, distribution, and ecological risk assessment of 17 common antibiotics in this study were preformed in a vital drinking water source represented as a river-reservoir system in South China. In general, 15 antibiotics were detected at least once in the watershed, with the total concentrations of antibiotics in the water samples ranging from 193.6 to 863.3 ng/L and 115.1 to 278.2 µg/kg in the sediment samples. For the water samples, higher rain runoff may contribute to the levels of total concentration in the river system, while perennial anthropic activity associated with the usage pattern of antibiotics may be an important factor determining similar sources and release mechanisms of antibiotics in the riparian environment. Meanwhile, the reservoir system could act as a stable reactor to influence the level and composition of antibiotics exported from the river system. For the sediment samples, hydrological factor in the reservoir may influence the antibiotic distributions along with seasonal variation. Ecological risk assessment revealed that tetracycline and ciprofloxacin could pose high risks in the aquatic environment. Taken together, further investigations should be performed to elaborate the environmental behaviors of antibiotics in the river-reservoir system, especially in drinking water sources.

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Section: Introductionmentioning

confidence: 99%

Occurrence, Distribution, and Risk Assessment of Antibiotics in a Subtropical River-Reservoir System

Chen

Zhang

et al. 2018

Water

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“…Wang et al (2021) showed that the reservoir area had relatively higher terrestrial input and increased abundance of recalcitrant DOM, a consequence of water intrusion from the main stem of the stream caused by the construction and operation of the reservoir. Dam constructions increase the residence time of DOM in the river (Hong et al, 2012) and Sun et al (2017) noted that in slower flow areas of a mid-subtropical drinking water source reservoir, there was a higher content of certain DOM classes, supporting the notion that altered hydrodynamics can lead to variation in the DOM composition (Lynch et al, 2019). Non-anthropogenic organic debris dams in streams trap sediments and collect particulate organic matter, which again affects the concentration and composition of DOM in stream water (Bilby, 1981).…”

Section: Supervised Machine-based Learning Reveals Influence Of Envir...mentioning

confidence: 87%

Machine-learning based approach to examine ecological processes influencing the diversity of riverine dissolved organic matter composition

Müller,

D’Andrilli,

Silverman

et al. 2024

Front. Water

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Dissolved organic matter (DOM) assemblages in freshwater rivers are formed from mixtures of simple to complex compounds that are highly variable across time and space. These mixtures largely form due to the environmental heterogeneity of river networks and the contribution of diverse allochthonous and autochthonous DOM sources. Most studies are, however, confined to local and regional scales, which precludes an understanding of how these mixtures arise at large, e.g., continental, spatial scales. The processes contributing to these mixtures are also difficult to study because of the complex interactions between various environmental factors and DOM. Here we propose the use of machine learning (ML) approaches to identify ecological processes contributing toward mixtures of DOM at a continental-scale. We related a dataset that characterized the molecular composition of DOM from river water and sediment with Fourier-transform ion cyclotron resonance mass spectrometry to explanatory physicochemical variables such as nutrient concentrations and stable water isotopes (2H and 18O). Using unsupervised ML, distinctive clusters for sediment and water samples were identified, with unique molecular compositions influenced by environmental factors like terrestrial input and microbial activity. Sediment clusters showed a higher proportion of protein-like and unclassified compounds than water clusters, while water clusters exhibited a more diversified chemical composition. We then applied a supervised ML approach, involving a two-stage use of SHapley Additive exPlanations (SHAP) values. In the first stage, SHAP values were obtained and used to identify key physicochemical variables. These parameters were employed to train models using both the default and subsequently tuned hyperparameters of the Histogram-based Gradient Boosting (HGB) algorithm. The supervised ML approach, using HGB and SHAP values, highlighted complex relationships between environmental factors and DOM diversity, in particular the existence of dams upstream, precipitation events, and other watershed characteristics were important in predicting higher chemical diversity in DOM. Our data-driven approach can now be used more generally to reveal the interplay between physical, chemical, and biological factors in determining the diversity of DOM in other ecosystems.

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“…It is situated in the middle reaches of the Ao River, with the dam site located approximately 6 km upstream from Tangban Village in Lianjiang County. This is a third-level reservoir developed on the main stem of the Ao River, with primary functions including water supply, flood control, power generation, irrigation, and aquaculture [39]. The Shanzai Reservoir is the second water supply source for Fuzhou, serving the important task of supplying water to 1.6 million residents.…”

Section: Overview Of the Study Areamentioning

confidence: 99%

Evaluation of Algal Control Measures in Eutrophic Reservoirs Based on Aquatic Ecosystem Models

Zheng,

Liao,

Lin

et al. 2024

Water

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The frequency of freshwater cyanobacterial blooms is increasing globally due to climate change and eutrophication, particularly in reservoirs. Reservoir ecosystems exhibit unique characteristics, and there is a complex relationship between factors such as light, temperature, nutrient salts, hydrology, and algal growth. The impact of the other factors on algal growth varies significantly among different reservoirs. Thus, it is crucial to assess the effectiveness of various algal control measures implemented in different reservoirs. This study conducted a comprehensive assessment by establishing a eutrophication model for the Shanzi Reservoir in Fuzhou City. The model incorporated meteorology, hydrology, carbon dynamics, nutrient cycling, and biological communities. The effectiveness of diverse management measures was systematically evaluated. The findings demonstrate that increasing the water level, reducing nutrient salts in sediments, and implementing ecological fish stocking effectively suppressed algal growth to varying degrees and improved nitrogen and phosphorus levels. Lower water levels and ecological fish stocking had a significant impact on algal reproduction, while sediment reduction had a minimal effect. Conversely, lower water levels and ecological fish stocking did not significantly improve nitrogen and phosphorus concentrations in the reservoir, whereas sediment reduction had a noticeable effect. Consequently, the management strategies for the Shanzi Reservoir should prioritize external control measures and the implementation of ecological fish stocking.

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Effect of a dam on the optical properties of different-sized fractions of dissolved organic matter in a mid-subtropical drinking water source reservoir

Cited by 15 publications

References 42 publications

Occurrence, Distribution, and Risk Assessment of Antibiotics in a Subtropical River-Reservoir System

Occurrence, Distribution, and Risk Assessment of Antibiotics in a Subtropical River-Reservoir System

Machine-learning based approach to examine ecological processes influencing the diversity of riverine dissolved organic matter composition

Evaluation of Algal Control Measures in Eutrophic Reservoirs Based on Aquatic Ecosystem Models

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