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Legacy and currently-used pesticides in sedimentary archives: Anthropogenic footprint in the pearl river estuary

Science of the Total Environment 2025年 976卷 179300页

作者： Tian, Lele Zhao, Shizhen Zhong, Guangcai Li, Jun Hu, Jianfang Zhang, Gan State Key Laboratory of Advanced Environmental Technology Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou510640 China University of Chinese Academy of Sciences Beijing100049 China

Pesticides are fundamental to modern agriculture but pose significant environmental risks due to their persistence, bioaccumulation potential, and toxicity. This study systematically investigates the pollution characteristics and historical trends of 28 legacy organochlorine pesticides (OCPs) and 17 currently-used pesticides (CUPs) in a sediment core from the Pearl River Estuary (PRE), assessing their potential as Anthropocene markers. The concentrations of Σ28OCPs ranged from 0.788 to 9.12 ng/g, dominated by dichlorodiphenyltrichloroethanes (DDTs, 49 ± 21 %) and chlordane (9 ± 6 %), while the Σ17CUP concentrations were an order of magnitude higher, ranging from 4.85 to 98.4 ng/g, with pyrethroids contributing 50–99 %. This shift in pesticide composition reflects the historical transition from OCPs to CUPs in China's pesticide usage. Temporal trends (1919–2019) showed that the concentrations of DDTs, chlordane, pyrethroids, and dicofol closely mirrored their usage history in China, demonstrating that sediment cores effectively record pesticide application history. Redundancy analysis identified total organic carbon, temperature, and precipitation as key environmental factors influencing the concentrations of DDTs, chlordane, pyrethroids, and dicofol. Correlation analysis further demonstrated that the concentrations of DDTs and phenothrin were linked to population, GDP, and agricultural activities, whereas dicofol, parathion-methyl, and bromophos-ethyl were primarily driven by agricultural activities. Moreover, DDT exhibited temporally abrupt trends, broad geographic signals, and permanent environmental records, suggesting its potential as a robust Anthropocene marker. This study provides critical insights into pesticide pollution dynamics and highlights the value of legacy and emerging pollutants in tracking human impacts on Earth's environmental systems. © 2025 Elsevier B.V.

关键词： Anthropogenic

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Unveiling the overlooked silent threat: High-throughput suspect screening of antibiotics and multidimensional heterogeneity in aquatic ecosystems of megacity

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Journal of Hazardous Materials 2025年 493卷 138193页

作者： Guo, Tianrong Yue, Qingnan Hou, Yu Chen, Yi Yu, Dong Yang, Geng Yu, Chenglong Zeng, Yuping Feng, Yanqi Pu, Shengyan State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu610059 China Key Laboratory of Monitoring and Assessment on Novel Food Raw Materials State Administration for Market Regulation Chengdu Institute of Food Inspection Chengdu611130 China State Key Laboratory of Collaborative Control and Joint Remediation of Soil and Water Pollution for Environmental Protection College of Ecology and Environment Chengdu University of Technology Chengdu610059 China School of Materials and Environmental Engineering Chengdu Technological University Chengdu611730 China Key Laboratory of Chemical Metrology and Applications on Nutrition and Health State Administration for Market Regulation Chengdu Institute of Food Inspection Chengdu611130 China

The environmental and health impacts of antibiotics (ABx) have garnered global attention. However, the issue of ABx contamination in aquatic ecosystems of densely populated megacities remains largely overlooked. Significant research gaps persist, particularly in understanding the full-chain pollution characteristics that span from urban aquatic environments to edible aquatic organisms, due in part to the lack of systematic monitoring data to support comprehensive assessments. To address this gap, this study conducts the first comprehensive screening of ABx in the aquatic ecosystems of a megacity, offering quantitative evaluations of ABx complexity and multidimensional heterogeneity. Over a one-year period, 406 samples were collected from four rivers and three lakes, and large-scale analyses identified 37 ABx compounds, with the overall detection rate of 30.05 %, with Sulfonamides (SAs), Quinolones (QNs), and Macrolides (MLs) being the most prevalent. Surface water samples contained the greatest number of ABx types, while amphibians exhibited the highest detection rate and concentrations. A pronounced increase in detections during the dry season (spring and winter) highlighted substantial spatio-temporal variation. Source-sink analysis revealed hospital effluents and wastewater treatment plants as primary pollution sources. Among the detected compounds, Nalidixic acid (NCA), Sulfamethazine (SMTZ), Flumequine (FQ), and Tylosin (TLS) posed the most significant ecological risks, with NCA identified as a priority for targeted control. This study establishes a novel framework for the high-throughput suspect screening, occurrence pattern analysis, and risk assessment of ABx in megacities worldwide. © 2025 Elsevier B.V.

关键词： Risk assessment

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Climate change driven land use evolution and soil heavy metal release effects in lakes on the Qinghai Tibet Plateau

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Science of the Total Environment 2025年 958卷 177898页

作者： Fu, Zhenghui Zhang, Yang Liu, Yanxiao Jiang, Xia Guo, Huaicheng Wang, Shuhang Li, Zheng State Key Laboratory of Environmental Criteria and Risk Assessment National Engineering Laboratory for Lake Pollution Control and Ecological Restoration State Environmental Protection Key Laboratory for Lake Pollution Control Chinese Research Academy of Environmental Sciences Beijing100012 China Chinese Academy of Environmental Planning Beijing100043 China Department of Geography University of Colorado Boulder BoulderCO80309 United States College of Environmental Sciences and Engineering Peking University Beijing100871 China

In recent decades, global warming has intensified hydrological cycles, raising concerns about the impacts of climate change on hydrological processes, water quality, and water resources across various temporal and spatial scales. These changes significantly affect water resource management and environmental protection policies and may also influence the ecological health and socio-economic well-being of lake regions. Qinghai Lake, the largest inland lake and a major water source reservoir in China, plays a crucial role in the ecological security of the Qinghai-Tibet Plateau. However, in recent years, with the ongoing development of the economy and society throughout the province, there has been an increase in algal blooms in the nearshore area of Qinghai Lake, with the affected area expanding annually. There is currently no clear consensus on the causes of eutrophication in lakes, and comprehensive, in-depth research on how different land use types—critical to the material migration and transformation processes of natural water bodies—affects water quality and ecological security, as well as the interactions between nutrients and heavy metals, is lacking. Therefore, it is essential to monitor and understand the effects of climate change on lakes and to develop adaptive strategies to mitigate and respond to these impacts amidst rapid economic and social development. The lake environmental pollution early warning system developed in this study provides a scientific research paradigm for lake water pollution control and offers valuable data support for policymakers in formulating ecological protection and development strategies. © 2024 Elsevier B.V.

关键词： Lake pollution

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Antibiotic resistance genes in aquatic systems: Sources, transmission, and risks

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Aquatic Toxicology 2025年 284卷 107392页

作者： Zhang, Tingting Fan, Linyi Zhang, Ya-Nan State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration School of Environment Northeast Normal University Changchun 130117 China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing 210023 China

The widespread use of antibiotics has significantly contributed to the spread of antibiotic resistance genes (ARGs), which have become a major challenge to global ecological and public health. Antibiotic resistance not only proliferates in clinical settings but also persists in aquatic systems, where its residues and cross-domain spread pose a dual threat to both ecosystems and human health. ARGs spread rapidly within microbial communities through horizontal gene transfer (HGT) and vertical gene transfer (VGT). Aquatic systems are the key transmission medium. This review summarizes recent studies on the Source-Transport-Sink dynamics of ARGs in aquatic environments, along with their environmental and health risk assessments, with a particular focus on the potential ecotoxicity of ARGs transmission. It also examines the distribution characteristics of ARGs across different regions and the ecological risk assessment methods employed, highlighting the limitations of existing models when addressing the complex behaviors of ARGs. By analyzing the potential hazards of ARGs to aquatic ecosystems and public health, this article aims to provide a scientific foundation for future research and the development of public policies. © 2025 Elsevier B.V.

关键词： Antibiotic resistance genes Aquatic systems Risk Toxicity Transmission

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Expand the synchronization range of MEMS linear oscillators based on mode coupling and phase control

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Sensors and Actuators A: Physical 2025年 389卷

作者： Dai, Hongsheng Wang, Xuefeng Shi, Zhan Yang, Qiqi Xiao, Zunhao Liu, Zhiqiang Wei, Xueyong Huan, Ronghua Department of Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province Zhejiang University Hangzhou China Department of Engineering Mechanics MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical University Xi'an China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an China School of Instrument Science and Technology Xi'an Jiaotong University Xi'an China Huanjiang Laboratory Shaoxing China

Synchronization is a widespread phenomenon observed in both natural and societal systems. The advancement of MEMS technology has facilitated the study and application of synchronization, significantly enhancing the performance of MEMS sensors. However, the limited synchronization range of linear systems has restricted its broader application in sensor technologies. In this article, we propose a method to expand the synchronization range based on mode coupling and phase control. Theoretical derivations and experimental validations were conducted to demonstrate the effectiveness of the proposed approach. Experimental results reveal that the method achieves a synchronization range expansion of more than 50 times for both downward and upward frequency sweeps. Furthermore, the maintenance time of the synchronized state is significantly extended. This achievement is expected to provide a new solution for the application of synchronization-enhanced sensing in various fields, paving the way for improved sensor performance and broader applicability. © 2025 Elsevier B.V.

关键词： Synchronization

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Landfill depths alter microbial community structure and ecological assembly by affecting δ13C and organic matter

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Waste Management 2025年 203卷 114881页

作者： Wang, Yu-Xin Liu, Qing-Yu Du, Jun-Yan Sha, Hao-Qun Su, Jing Sun, Yue Mao, Jing-Ying He, Xiao-Song State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Ministry of Ecology and Environment Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China Scientific Research Academy of Guangxi Environmental Protection Guangxi Nanning China

Microorganisms are crucial for the degradation of organic matter during landfill. However, the processes of microbial community assembly and ecological niche in landfill are poorly understood. Here, the mechanisms underlying microbial assembly in landfill were investigated based on neutral theory, niche distribution and network analysis. The results showed that moisture and potassium in the landfilled wastes increased with depth, while organic matter and δ13C were significantly higher in the middle layer than in the surface and bottom layers (P 15N significantly influencing bacterial community composition. Deterministic processes over stochastic processes were pronounced in the surface layer, with the latter accounting only for 3.8 %. As landfill depth increased, variations in organic matter composition led to a greater influence of stochastic processes (52.7 %), while deterministic processes accounted for only 5.8 %. The niche breadth of abundant taxa was narrower than conditionally rare or abundant taxa, with their distribution primarily regulated by waste δ13C (P 13C driven organic matter availability and stochastic assembly processes. © 2025 Elsevier Ltd

关键词： Listeria

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Compositions of suspended particulates in typical urban river of Shanghai, China and its significance for ecological restoration

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Journal of Environmental Management 2025年 380卷 125113页

作者： Teng, Guoliang Chen, Qiqi Peng, Yuanjun Liu, Lili Zhang, Chen Wang, Zhiping School of Environmental Science and Engineering Shanghai Jiao Tong University Shanghai200240 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China

Although the water quality of urban rivers in Shanghai, China has been improved significantly in the past decades, their transparency is still unsatisfactory. To clarify the turbidity and its possible mechanisms, the characteristics of suspended particulate matters (SPM) are analyzed carefully, which reveals that suspended microbes dominate the component in urban rivers with high turbidity. Based on the principal component analysis and random forest analysis, nutrients and organic pollutants is revealed to promote the turbidity by promoting the growth of suspended algae and microbes. Furthermore, high-throughput sequencing is used to analyze the microbes in bulk water of urban rivers and iris rhizosphere of ecological floating bed. It reveals that there are significant differences between the microbial communities in bulk water and iris rhizosphere, suggesting that microbes immobilized in iris roots are not derived from bulk water. The metabolic function enrichment analysis based on PICRUSt shows that rhizosphere microbes mainly concentrate on the metabolism of plant secretions, while suspended microbes in bulk water mainly concentrate on the metabolism of pollutants. Since microbial diversity, metabolic richness, and interactions of rhizosphere microbes are much higher than those microbes in bulk water, it suggests that rhizosphere microbes may reduce suspended microbes in water via their competitive effects, thus purify pollutants and reduce turbidity in bulk water (improve transparency). These findings reveal the theoretical basis of water ecological restoration, thus might be helpful to technological innovation in the ecological restoration of urban rivers with high turbidity. © 2025 Elsevier Ltd

关键词： Anthropogenic

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Pollution sources, characteristics and environmental risk assessment of heavy metals in surface water and sediments of typical pyrite mine in Southwest China

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Journal of Environmental Sciences 2025年 157卷 742-755页

作者： Ziqiu Nie Jiabin Luo Jie Tang Bo Li Bohan Chen Man Gao Xingjie Wang Liu Guo College of Ecology and Environment Chengdu University of Technology Chengdu 610059 China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu 610059 China State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution Chengdu University of Technology Chengdu 610059 China China West Normal University College of Environmental Science and Engineering Nanchong 637009 China Institute of Geological Survey China University of Geosciences Wuhan 430074 China

Abandoned mines, especially pyrite-rich ones, release acid mine drainage (AMD) with high acidity and excessive amounts of heavy metals, threatening regional ecosystems. Six samples of mine drainage, nine samples of surface water, and twelve samples of sediment were analyzed in this case study of the Dashu pyrite mine in southwest China. A comprehensive analysis of the pollution levels, pollution sources, and potential hazards of eight metals (Ni, Cd, Cu, Zn, Fe, Al, Pb, and Mn) that exceeded regulatory standards was conducted by monitoring 24 conventional and characteristic indicators. Ultimately, this research evaluated the environmental hazards associated with abandoned mine water using the "pressure-response" model, thereby providing valuable insights for the effective protection of the environment in mining regions. The primary pollutants in mine water were determined to be SO 4 2− , Fe, and Mn, with concentrations of 7700, 1450, and 6.78 mg/L, respectively. A clear "source-sink" dynamic was observed between the mine water and the surrounding water system. surface water was primarily polluted by Ni and Mn, while water system sediments were primarily polluted by Cu and Hg. Ion ratio and Pearson correlation analyses indicated heavy metals in surface water and sediments originated from the same AMD source. The "pressure-response" model was used to assess the environmental hazards of water from abandoned mines. Mines W1, W2, W5, and W6 were classified as high-risk, while W3 and W4 were medium-risk. This study offers a novel approach and valuable reference for identifying and classifying environmental risks in abandoned mines and targeting AMD treatment.

关键词： River pollution

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A novel porous shock absorption layer for tunnels: Shock absorption performance and parameter analysis

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Earthquake Engineering and Engineering Vibration 2025年第2期24卷 437-450页

作者： Zhou Tonglai Dong Changsong Li Shuang Sun Qiangqiang Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China State Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment CCCC First Highway Consultants Co.Ltd.Xi’an 710075China Institute of Geotechnical Engineering College of Civil Engineering and ArchitectureHebei UniversityBaoding 017002China

A novel porous shock absorption layer is put forward in this study, and the shock absorption performance of the porous shock absorption layer is evaluated based on three-dimensional pseudo-static analysis. The modified reaction acceleration method is adopted and validated in the three-dimensional model. Seven ground motions are selected and the peak ground acceleration is adjusted to 0.2 g, 0.4 g and 0.6 g. The impact of the void ratio and thickness of the porous shock absorption layer is studied, while the surrounding rock grade and tunnel depth are also investigated. The numerical results show that the porous shock absorption layer has good shock absorption performance and can effectively reduce the maximum internal force of the secondary lining, but it cannot reduce the maximum horizontal relative displacement of the secondary lining. The circumferential rubber strip in the porous shock absorption layer will reduce shock absorption performance. The results of parameter analysis indicate that the shock absorption performance of the porous shock absorption layer increases with the increase of the void ratio and thickness, and it has good shock absorption performance under different surrounding rock grades and tunnel depths.

关键词： tunnel porous shock absorption layer shock absorption performance reaction acceleration method parameter analysis

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Multi-scale feature fused stacked autoencoder and its application for soft sensor modeling

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Chinese Journal of Chemical Engineering 2025年 81卷 241-254页

作者： Li, Zhi Xia, Yuchong Long, Jian Liu, Chensheng Zhang, Longfei State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai 200237 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Huzhou Institute of Industrial Control Technology Huzhou313099 China Engineering Research Center of Process System Engineering Ministry of Education East China University of Science and Technology Shanghai200237 China

Deep Learning has been widely used to model soft sensors in modern industrial processes with nonlinear variables and uncertainty. Due to the outstanding ability for high-level feature extraction, stacked autoencoder (SAE) has been widely used to improve the model accuracy of soft sensors. However, with the increase of network layers, SAE may encounter serious information loss issues, which affect the modeling performance of soft sensors. Besides, there are typically very few labeled samples in the data set, which brings challenges to traditional neural networks to solve. In this paper, a multi-scale feature fused stacked autoencoder (MFF-SAE) is suggested for feature representation related to hierarchical output, where stacked autoencoder, mutual information (MI) and multi-scale feature fusion (MFF) strategies are integrated. Based on correlation analysis between output and input variables, critical hidden variables are extracted from the original variables in each autoencoder's input layer, which are correspondingly given varying weights. Besides, an integration strategy based on multi-scale feature fusion is adopted to mitigate the impact of information loss with the deepening of the network layers. Then, the MFF-SAE method is designed and stacked to form deep networks. Two practical industrial processes are utilized to evaluate the performance of MFF-SAE. Results from simulations indicate that in comparison to other cutting-edge techniques, the proposed method may considerably enhance the accuracy of soft sensor modeling, where the suggested method reduces the root mean square error (RMSE) by 71.8%, 17.1% and 64.7%, 15.1%, respectively. © 2025 Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd.

关键词： Frequency estimation

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