Publications by authors named "Xueyi You"

Microplastic (MP) pollution poses a significant threat to aquatic ecosystems. Numerical modeling has emerged as an effective tool for predicting the distribution, accumulation, and risk assessment of MPs in aquatic ecosystems. However, published work has not systematically assessed the strengths and weaknesses of various modeling approaches.

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Article Synopsis
  • * Researchers found that the hazardous concentration for 5% of species is roughly 237.98 particles/L, with reproduction being the most affected endpoint, followed by growth and mortality.
  • * Fibers and polyvinyl chloride (PVC) were identified as the most harmful types of MPs, particularly affecting fish, which were the most sensitive organisms in the lake. The findings stress the need for effective management strategies to mitigate these environmental risks.
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By integrating probabilistic ecological risk assessment with the overall risk index method, which considers the multidimensional characteristics of the microplastome, the ecological risks of microplastic pollution were assessed more comprehensively. This study took the Baiyangdian Basin as an example to address the limitations of current risk assessment methods that rely on concentration data or the individual risk of microplastics. Using an exponential regression model, the acute and chronic ecological risk thresholds for the overall risk index method were determined to be 0.

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Microplastics are a global environmental concern, especially in freshwater ecosystems. Despite the studies in specific regions of Tai lake, a gap persists in understanding the comprehensive risk of MPs across the entire watershed. Therefore, this study offers an overview of MPs abundance and assesses ecotoxicological risk by employing acute and chronic species sensitivity distributions, which consider the effects triggered by MPs.

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Decreasing water volume and increasing pollutants in wetlands pose challenges to aquatic life. While environmental flow regulation is widely applied to enhance aquatic habitats, its effectiveness needs to be evaluated. In this study, a hydrodynamic-water quality model was used to simulate the fields of flow, temperature, and pollutants.

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Microplastics are widely distributed in the environment, including the atmosphere, soil and water bodies. They have been found to have toxic effects on organisms. The impact on human health is also receiving considerable attention.

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Microplastics (MPs < 5 mm) pollution is a widespread phenomenon in freshwater ecosystems. While the role of physiochemical factors in the migration and distribution of MPs is understood, the impact of biological migration remains less clear. The influence of nekton migration determined by habitat suitability on the distribution of MPs and the consequent ecological risks to the regional food web is investigated in the freshwater environment by using Baiyangdian Lake (China) as a case study.

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Although microplastics (MPs) in marine organisms have been widely studied, the toxicity of MPs in freshwaters and human health is still a global challenge. To fill this gap, we implemented an Ecopath and food web accumulation model to simulate the Tai Lake ecosystem, a region dependent on the tourism and seafood industries. Our results suggested the accumulation of MPs throughout the food web and ultimately reach organisms at high trophic levels, including human-being, who consume MPs through seafood.

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The spatio-temporal response of water quality in the receiving basins to water transfer remains unclear when considering more practical factors. Moreover, a much fast surrogate model is highly required to realize the purpose of rapid prediction of water quality. In this study, a two-dimensional hydrodynamic and water quality model was primarily established by considering the most comprehensive important pollution sources so far to investigate the water quality variation in Baiyangdian Lake, China.

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Over the past two decades, there has been a lot of discussion about the rapid increase of microplastics (MPs) due to their persistence, ubiquity, and toxicity. The widespread distribution of MPs in various freshwater ecosystems makes them available for different trophic levels biota. The ingestion and trophic transfer of MPs may induce potential impacts on freshwater food webs.

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Cooking oil fume (COF) have adverse health effects for people. A probabilistic health risk assessment model with risk parameters as random variables considering the differences in exposure concentration and exposure time of different cooking event was proposed to assess the inhalational incremental lifetime cancer risk (ILCR). The exposure of carcinogens such as benzene, formaldehyde, PM-bound polycyclic aromatic hydrocarbons (PPAHs) and PM-bound heavy metals (PHMs) of Chinese family cooking was studied and the exposure concentrations of carcinogens were predicted by computational fluid dynamics (CFD).

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Conservation of habitat patches and the related environment benefits both the focal species and human well-being. Many indices use the dispersal range to identify habitat patches with conservation priorities. However, there lacks approaches to identify environmental variables with conservation priorities (noted as target variables) in those identified patches.

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Microplastic plastics (MPs) is an increasingly widely serious global environment problem, which severely threats aquatic organisms and even human beings. However, the potential change trend of MPs abundance over time in natural aquatic ecosystems and the cumulative effects through food webs are unclear. In this research, the model of accumulation effect of MPs through aquatic food webs was established in the example Baiyangdian Lake (China) using the contaminant tracer module Ecotracer in the Ecopath modelling software.

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The optimal layout of low-impact development (LID) facilities satisfying annual runoff control for low rainfall expectation is not effective under extreme rainfall conditions and urban waterlogging may occur. In order to avoid the losses of urban waterlogging, it is particularly significant to establish a waterlogging early warning system. In this study, based on coupling RBF-NARX neural networks, we establish an early warning system that can predict the whole rainfall process according to the rainfall curve of the first 20 minutes.

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The fine molecular structure of a flocculant fundamentally determines the internal flocculation mechanism and the final application property. In this work, three series of chitosan-based polymers (CTS-g-PAMD) with divergent charge densities and graft chain distribution were synthesized by graft copolymerization using acrylamide (AM) and acryloyloxyethyltrimethylammonium chloride (DAC). Meanwhile, flocculant with linear chain structure (CTS-CTA) was prepared by etherification using 3-chloro-2-hydroxypropyltrimethylammonium chloride (CTA).

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Kitchen range hood is used to remove cooking oil fume in most of family. The oil fume collection efficiency of range hood is demand to be improved for reaching healthy indoor air quality in residential kitchen. The effects of chef disturbance intensity on the fume particle collection of range hood are quantified by computational fluid dynamics (CFD) model.

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Methods of maximum correlation coefficient (MCC) and the minimum discrete degree (MDD) are developed to identify the location of indoor contaminant source. These two methods are simple, effective, and economic due to the need of only one sensor. The methods are validated by a three-dimensional case study.

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In this study, two strains, Acinetobacter sp. XM-02 and Pseudomonas sp. XM-01, were isolated from soil samples polluted by crude oil at Bohai offshore.

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The effects of limiting factors such as rainfall intensity, rainfall duration, grass type and vegetation coverage on the stormwater runoff of urban green space was investigated in Tianjin. The prediction equation of stormwater runoff was established by the quantitative theory with the lab experimental data of soil columns. It was validated by three field experiments and the relative errors between predicted and measured stormwater runoff are 1.

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