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  1. Article ; Online: Modeling the effect of fish migration on the horizontal distribution of microplastics in freshwater and ecological risks in the food web: Influence of habitat.

    Ma, Yi-Fei / You, Xue-Yi

    The Science of the total environment

    2023  Volume 904, Page(s) 166265

    Abstract: 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 ... ...

    Abstract 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. The key findings reveal that fish migration significantly alters the horizontal distribution of MPs in the water environment, with a higher degree of fish aggregation in high suitability habitats leading to an increased presence of MPs due to their ingestion and excretion behaviors. In both high and low suitability habitats, MPs are found to bioconcentrate in fish, suggesting a significant risk to aquatic ecosystems. Despite the lack of evidence supporting MPs biomagnification, the results indicate that MPs are more likely to be biomagnified within the food web of high suitability habitats due to the enhanced foraging capabilities of aquatic organisms. These findings highlight the critical need to consider biological factors, such as nekton migration, in understanding and addressing MPs pollution in freshwater ecosystems.
    MeSH term(s) Animals ; Microplastics ; Plastics ; Ecosystem ; Food Chain ; Water Pollutants, Chemical/analysis ; Fishes ; Lakes ; Environmental Monitoring
    Chemical Substances Microplastics ; Plastics ; Water Pollutants, Chemical
    Language English
    Publishing date 2023-08-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.166265
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    Zs.A 949: Show issues Location:
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  2. Article ; Online: Recent progress of microplastic toxicity on human exposure base on in vitro and in vivo studies.

    Liu, Zhengguo / You, Xue-Yi

    The Science of the total environment

    2023  Volume 903, Page(s) 166766

    Abstract: 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. Microplastics can be ... ...

    Abstract 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. Microplastics can be found in drinking water, food, air and plastic products, and they can enter human body through the pathways such as ingestion, inhalation, and skin contact. After exposure to microplastics, they can induce cellular toxicity and produce toxic effects on multiple organs and systems, including the digestive, respiratory, nervous, reproductive and cardiovascular systems. This paper presents a comprehensive review and analysis on the recent progress of human exposure studies, in vitro experiments, rodent experiments, and other model experiments in microplastic human toxicity research. It comprehensively analyzes the potential human toxic effects of microplastics, providing a theoretical basis for further research on microplastic human toxicity and its mechanisms. Furthermore, this paper highlights the knowledge gaps and provides the recommendations for future research on human toxicity of microplastics.
    Language English
    Publishing date 2023-09-02
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.166766
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    Zs.A 949: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Impacts of environmental flow regulation on survival of aquatic organisms: a case study of Cyprinus Carpio in Baiyangdian, China.

    Ma, Yi-Fei / You, Xue-Yi

    Environmental science and pollution research international

    2023  Volume 30, Issue 51, Page(s) 111309–111324

    Abstract: 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 ...

    Abstract 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. The Ecological Niche Modeling at the MetaLand EcologyLab (ENMTML) was utilized to evaluate the area of suitable habitats for aquatic organisms under both environmental flow regulation and no environmental flow regulation conditions. The typical Baiyangdian Wetland in northern China was taken as the study area, and the important economic fish, Cyprinus carpio, served as the indicator of aquatic species. The effectiveness of environmental flow regulation was evaluated from December 1, 2017, to June 30, 2018. The results indicated that the variables of water depth, dissolved oxygen (DO), ammonia nitrogen (NH
    MeSH term(s) Animals ; Carps ; Aquatic Organisms ; Chlorophyll A ; China ; Ecosystem ; Wetlands ; Environmental Pollutants ; Environmental Monitoring
    Chemical Substances Chlorophyll A (YF5Q9EJC8Y) ; Environmental Pollutants
    Language English
    Publishing date 2023-10-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-30144-0
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  4. Article ; Online: Probabilistic risk assessment of microplastics in Tai Lake, China.

    Bhutto, Seerat Ul Ain / Akram, Muhammad / You, Xue-Yi

    The Science of the total environment

    2024  Volume 914, Page(s) 169965

    Abstract: 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 ... ...

    Abstract 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. The concentrations of MPs ranged from 0 to 18.6 particles/L within the lake, 1.56 to 1.42 × 10
    MeSH term(s) Microplastics/toxicity ; Plastics ; Lakes ; Ecosystem ; Water Pollutants, Chemical/analysis ; Environmental Monitoring/methods ; China ; Risk Assessment
    Chemical Substances Microplastics ; Plastics ; Water Pollutants, Chemical
    Language English
    Publishing date 2024-01-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.169965
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    Zs.A 949: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  5. Article: Monthly rainfall forecasting by a hybrid neural network of discrete wavelet transformation and deep learning

    Wei, Ming / You, Xue-yi

    Water resources management. 2022 Sept., v. 36, no. 11

    2022  

    Abstract: Rainfall forecast is critical to the management and allocation of water resources. Deep learning is used to predict rainfall time series with high temporal and spatial variability. Discrete wavelet transform (DWT), long-short term memory (LSTM) and ... ...

    Abstract Rainfall forecast is critical to the management and allocation of water resources. Deep learning is used to predict rainfall time series with high temporal and spatial variability. Discrete wavelet transform (DWT), long-short term memory (LSTM) and dilated causal convolutional neural network (DCCNN) is integrated to build a hybrid model (DWT-CLSTM-DCCNN). Two methods of sample construction are used to train DWT-CLSTM-DCCNN and their effects on the model performance are analyzed. LSTM and DCCNN are built as benchmark models. The forecasting performance of DWT-CLSTM-DCCNN on monthly rainfall data from four major cities in China is evaluated. The results of DWT-CLSTM-DCCNN are compared with those of benchmark models in terms of the mean absolute error (MAE), root mean squared error (RMSE) and Nash-Sutcliffe efficiency (NSE) as well as the forecasting curves. The results show that DWT-CLSTM-DCCNN outperforms the benchmark models in model accuracy and peak and mutational rainfall capture.
    Keywords administrative management ; meteorological data ; model validation ; neural networks ; rain ; time series analysis ; water ; wavelet ; China
    Language English
    Dates of publication 2022-09
    Size p. 4003-4018.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 59924-4
    ISSN 1573-1650 ; 0920-4741
    ISSN (online) 1573-1650
    ISSN 0920-4741
    DOI 10.1007/s11269-022-03218-w
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  6. Article: Study of water quality response to water transfer patterns in the receiving basin and surrogate model

    Liu, Lei / You, Xue-yi

    Environmental science and pollution research. 2022 Apr., v. 29, no. 17

    2022  

    Abstract: 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 ... ...

    Abstract 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. The pollution sources include atmospheric deposition, sediment release, village and tourism domestic sewage, livestock breeding, rainfall runoff, aquatic plants, and animals. The water quality at different sample sites was assessed using the water quality index (WQI). Subsequently, a surrogate model was proposed using the nonlinear autoregressive network with exogenous inputs (NARX), and the NARX model can realize fast prediction of the annual time series of water quality in a few seconds. The results showed that there are significant differences in water quality at different sample sites in each season. The highest WQI value occurred in autumn (65.46), and the average values at different sample sites were between 47.54 and 58.22 in this season. The water quality at Nanliuzhuang site and Caiputai site was significantly affected by water transfer patterns. In addition, the correlation coefficient R² between the predicted results and the simulated ones except that of parameter TP was larger than 0.90. The prediction performance of surrogate model was shown to be very high efficiency and accurate. The proposed models and the results of this approach are guiding significance for lake management.
    Keywords atmospheric deposition ; autumn ; basins ; hydrodynamics ; hydrologic models ; lakes ; livestock ; pollution ; prediction ; research ; runoff ; sediments ; sewage ; time series analysis ; tourism ; villages ; water management ; water quality ; China
    Language English
    Dates of publication 2022-04
    Size p. 24774-24792.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-021-17469-4
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  7. Article ; Online: Probabilistic health risk assessment of exposure to carcinogens of Chinese family cooking and influence analysis of cooking factors.

    Zhao, Jing-Jing / You, Xue-Yi

    The Science of the total environment

    2021  Volume 779, Page(s) 146493

    Abstract: 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 ... ...

    Abstract 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
    MeSH term(s) Air Pollutants/analysis ; Carcinogens/analysis ; China ; Cooking ; Humans ; Polycyclic Aromatic Hydrocarbons/analysis ; Risk Assessment
    Chemical Substances Air Pollutants ; Carcinogens ; Polycyclic Aromatic Hydrocarbons
    Language English
    Publishing date 2021-03-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2021.146493
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    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Study of water quality response to water transfer patterns in the receiving basin and surrogate model.

    Liu, Lei / You, Xue-Yi

    Environmental science and pollution research international

    2021  Volume 29, Issue 17, Page(s) 24774–24792

    Abstract: 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 ... ...

    Abstract 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. The pollution sources include atmospheric deposition, sediment release, village and tourism domestic sewage, livestock breeding, rainfall runoff, aquatic plants, and animals. The water quality at different sample sites was assessed using the water quality index (WQI). Subsequently, a surrogate model was proposed using the nonlinear autoregressive network with exogenous inputs (NARX), and the NARX model can realize fast prediction of the annual time series of water quality in a few seconds. The results showed that there are significant differences in water quality at different sample sites in each season. The highest WQI value occurred in autumn (65.46), and the average values at different sample sites were between 47.54 and 58.22 in this season. The water quality at Nanliuzhuang site and Caiputai site was significantly affected by water transfer patterns. In addition, the correlation coefficient R
    MeSH term(s) Animals ; China ; Environmental Monitoring/methods ; Lakes ; Rivers ; Water Pollutants, Chemical/analysis ; Water Quality
    Chemical Substances Water Pollutants, Chemical
    Language English
    Publishing date 2021-11-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-021-17469-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: On Optimal Condition of Plant–Microbial Remediation of Petroleum Hydrocarbon Polluted Soil

    Li, Dan / You, Xue-Yi

    Soil & sediment contamination. 2021 Jan. 02, v. 30, no. 1

    2021  

    Abstract: At present, plant–microbial remediation of soil petroleum pollution has been widely used, but the study of using models to predict remediation effect and find optimal remediation conditions is still very lacking. In this paper, on the basis of the ... ...

    Abstract At present, plant–microbial remediation of soil petroleum pollution has been widely used, but the study of using models to predict remediation effect and find optimal remediation conditions is still very lacking. In this paper, on the basis of the numerical model of previous research, the effects of Suaeda salsa–microbial remediation technique on soil petroleum hydrocarbon pollution were simulated under different soil initial pollutant concentration, soil moisture content and tillage depth. The spatial and temporal degradation of petroleum hydrocarbons and the corresponding degradation rate were studied. The results showed that under different remediation conditions, the degradation rate of microbes, plant and plant–microbial of petroleum hydrocarbon is in the range of 12.70%–24.70%, 4.14%–54.58% and 29.32%–67.28% in 180 days, respectively. It was found that the degradation rate of petroleum hydrocarbons was significantly affected by soil initial pollutant concentration, soil moisture content and tillage depth. The optimal application conditions of S. salsa–microbial remediation technology were found for the remediation of soil petroleum hydrocarbon pollution.
    Keywords Suaeda ; degradation ; depth ; hydrocarbons ; mathematical models ; microorganisms ; paper ; petroleum ; pollutants ; remediation ; research ; sediment contamination ; soil water content ; technology ; tillage
    Language English
    Dates of publication 2021-0102
    Size p. 35-57.
    Publishing place Taylor & Francis
    Document type Article
    Note NAL-light
    ZDB-ID 2017739-2
    ISSN 1549-7887 ; 1532-0383
    ISSN (online) 1549-7887
    ISSN 1532-0383
    DOI 10.1080/15320383.2020.1787328
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    Z 6090: Show issues

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  10. Article: Critical review of magnetic polysaccharide-based adsorbents for water treatment: Synthesis, application and regeneration

    Wang, Moxi / You, Xue-yi

    Journal of cleaner production. 2021 Nov. 10, v. 323

    2021  

    Abstract: Magnetic polysaccharide-based adsorbents have attracted more and more attention as novel adsorbents for remediating polluted water due to their biocompatibility, high performance, low cost, easy separation and renewability. In this review, magnetic ... ...

    Abstract Magnetic polysaccharide-based adsorbents have attracted more and more attention as novel adsorbents for remediating polluted water due to their biocompatibility, high performance, low cost, easy separation and renewability. In this review, magnetic adsorbents based on polysaccharides for aqueous processing have been thoroughly studied, reviewed and discussed. The synthesis and modification methods as well as their applications to remove various contaminants from water are highlighted, especially the removal of mixed pollutants, and the relationships between adsorbent functional groups, pollutant characteristics and adsorption mechanisms. The possible regeneration, environmental impacts and cost-effectiveness of these adsorbents have been investigated as well. It was found that the modified magnetic polysaccharide-based adsorbents have excellent stability, surface morphology and adsorption performance. Mixed pollutants can be more effectively removed via adsorbents prepared by combining diversiform functionalization and modification approaches. Inorganic pollutants are removed by electrostatic interaction, complexation, chelation or ion exchange, whereas organic pollutants are mainly adsorbed through electrostatic interaction, hydrogen bonding, π-π interaction and ion exchange. Based on the biodegradability and high temperature sensitivity of polysaccharides, it is the most economical, effective and convenient approach to regenerate magnetic polysaccharide-based adsorbents by chemical method (eluted with suitable desorbents). Considering the full life cycle costs, magnetic polysaccharide-based adsorbents with high raw material costs are identified to be economical compared with traditional adsorbents due to their high performance, high recovery rate and excellent reproducibility. Their regeneration and reuse performance may also compensate for adverse environmental impacts. There are still some critical challenges in the further research of magnetic polysaccharide-based adsorbents, such as their mass synthesis and large-scale application, desorption kinetics and desorption mechanisms, process economy and fate in the environment.
    Keywords adsorbents ; adsorption ; biocompatibility ; biodegradability ; chelation ; cost effectiveness ; desorption ; electrostatic interactions ; hydrogen ; ion exchange ; magnetism ; pollutants ; polysaccharides ; raw materials ; temperature ; water pollution ; water treatment
    Language English
    Dates of publication 2021-1110
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.129118
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