Pesticides occur widely in coastal waters and potentially pose a risk to marine ecosystems and human health. The spatiotemporal distribution of current-use pesticides (CUPs) was studied in Laizhou Bay (LZB) and the Xiaoqing River watershed in China during the summer of 2022 and spring of 2023. The pesticide composite index (PCI) and persistence index (PI) were established in association with the risk quotient (RQ) to assess the ecological risk in LZB. In this study, 17 and 12 kinds of CUP were detected in rivers and LZB seawater, respectively, with atrazine and neonicotinoid insecticides (NEOs) being the most frequently detected CUPs at higher concentrations. The average concentration of CUPs decreased from rivers to the coast and towards the center of the LZB, with higher levels in spring and lower levels in summer in rivers and a reversed pattern in seawater. The high-risk areas lie in the LZB coastal area and the estuary. Atrazine, chlorpyrifos, and imidacloprid might pose a high risk to aquatic organisms based on the RQ in the LZB, whereas the priority concern pesticides are atrazine and triazophos based on the PCI and PI. This study is of great significance for assessing the composite ecological risk of CUPs in aquatic environments.
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http://dx.doi.org/10.1016/j.marenvres.2025.107042 | DOI Listing |
Mar Pollut Bull
March 2025
Department of Environmental Engineering, Hanseo University, Seosan City 356-706, Republic of Korea.
Microplastics (MPs) are widely distributed as a global pollutant, with dynamic patterns driven by horizontal diffusion and vertical mixing in marine ecosystems across different hydrological seasons and regions. This study employed MATLAB for image processing and interactive operations to extract data from existing studies on the Chinese Marginal Seas conducted from 2016 to 2022, focusing on the distribution, sources, and transport processes of MPs. The results revealed that the Bohai Sea exhibited the highest pollution levels during both the rainy (9328.
View Article and Find Full Text PDFWater Res
March 2025
Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga 520-0811, Japan; Faculty of Engineering, Shinsu University, 4-17-1 Wakasato, Nagano, Nagano 830-8553, Japan.
During the COVID-19 outbreak, N-nitrosodimethylamine (NDMA) and N-nitrosomorpholine (NMOR) and their specific precursors (N,N-dimethylformamide [DMF] for NDMA and morpholine [MOR] for NMOR) were widely detected in sewerage systems of an urban area, in which chlorine-containing disinfectants were discharged with effluent of hospitals, etc. However, little is known about the effect of chlorine influx on formation and distribution of NDMA and NMOR in sewer systems in a sudden major public health event. We investigated the spatiotemporal patterns of NDMA, NMOR, DMF and MOR in influents of sewage treatment plants (STPs), as well as its upstream sewer sites during the COVID-19 pandemic.
View Article and Find Full Text PDFJ Environ Manage
March 2025
Henan Key Laboratory of YB Ecological Protection and Restoration, Yellow River Laboratory, Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou, 450003, China.
Mastering the spatiotemporal variations and driving factors of runoff and sediment load (RS) in the Yellow River Basin (YRB) from the perspective of scientific governance is essential for formulating management strategies. Based on the clustering analysis, Pettitt abrupt change test, Mann-Kendall trend test, Sen's slope estimator, Wavelet analysis, and Double Mass Curve (DMC), This study analyzed the RS series from 32 mainstem and 34 major tributary hydrological stations across the YRB from 1960 to 2023, identified key driving factors, and quantified their attribution rates. The main findings were as follows: (1) The YRB was categorized into five segments (B1: upstream of Jimai, B2: Jimai-Tangnaihai, B3: Tangnaihai-Dengkou, B4: Dengkou-Longmen, B5: Longmen-Lijin) and three periods (P1: 1960-1986, P2: 1987-1999, P3: 2000-2023), with significant differences in RS distribution, particularly larger runoff in the upstream of Lanzhou and larger sediment load in the Toudaoguai-Tongguan.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
March 2025
Padova Neuroscience Center, University of Padova, Padova 35131, Italy.
Resting brain activity, in the absence of explicit tasks, appears as distributed spatiotemporal patterns that reflect structural connectivity and correlate with behavioral traits. However, its role in shaping behavior remains unclear. Recent evidence shows that resting-state spatial patterns not only align with task-evoked topographies but also encode distinct visual (e.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
March 2025
Spatial division multiple access (SDMA) is a way of encoding BCI systems based on spatial distribution of brain signal characteristics. However, SDMA-BCI based on EEG had poor system performance limited by spatial resolution. MEG-EEG fusion modality analysis can help solve this problem.
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