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Basin soil type, moisture content and vegetation cover index are important factors affecting the basin water of Yongding River, using traditional sampling method to investigate soil moisture and the watershed soil type not only consuming a lot of manpower and material resources but also causing experimental error because of the instrument and other objective factors. This article selecting the Yongding River Basin-Beijing section as the study area, using total station instruments to survey field sampling and determination 34 plots, combined with 6 TM image data from 1978 to 2009 to extract soil information and the relationship between region's soil type, soil moisture and remote sensing factors. Using genetic algorithms normalization to select key factors which influenced NDWI, which is based on the green band and near-infrared bands normalized ratio index, usually used to extract water information in the image. In order to accurate screening and factors related to soil moisture, using genetic algorithms preferred characteristics, accelerate the convergence by controlling the number of iterations to filter key factor. Using multiple regression method to establish NDWI inversion model, which analysis the accuracy of model is 0.987, also use the species outside edges tree to meet accuracy test, which arrived that soil available nitrogen, phosphorus and potassium content and longitude correlation is not obvious, but a positive correlation with latitude and soil, inner precision researched 87.6% when the number of iterations to achieve optimal model calculation Maxgen. Models between NDWI and vegetation cover, topography, climate ect, through remote sensing and field survey methods could calculate the NDWI values compared with the traditional values, arrived the average relative error E is -0.021%, suits accord P reached 87.54%. The establishment of this model will be provide better practical and theoretical basis to the research and analysis of the watershed soil moisture and organic of Yongding River.
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Curr Res Food Sci
August 2025
State Key Laboratory of Nutrient Use and Management, Tea Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Tea trichomes, rich in secondary metabolites, are hypothesized to significantly influence white tea aroma, yet their biochemical contributions remain unclear. This study investigated the volatile profiles of tea trichome and tea body across six white tea samples using headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME-GC-MS) and multivariate statistical analysis. Comparative analysis revealed significant differences in the volatile profile between tea trichome and tea body in all tested samples, with major differences lying in the content of volatile components.
View Article and Find Full Text PDFSci Rep
August 2025
Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei GEO University, Shijiazhuang, 050031, P. R. China.
Accurately characterizing the spatial distribution of heavy metals in lake surface sediments, analyzing their sources, and identifying potential ecological risks are important scientific supports for lake ecosystem management. This study selected Dongping Lake, a typical inland shallow lake in the eastern region, as the research object. It systematically analyzed the distribution characteristics, source identification, and ecological risks of eight heavy metals (As, Zn, Cu, Ni, Cd, Hg, Pb, and Cr) in the sediments of Dongping Lake by employing a combination of statistical analysis, cluster analysis, principal component analysis (PCA), and positive matrix factorization (PMF) models, along with the enrichment factor method, geoaccumulation index method, and potential ecological risk assessment method.
View Article and Find Full Text PDFPLoS One
July 2025
Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, China.
Aquatic ecosystems worldwide are increasingly affected by human activities, with urbanization representing a major source of environmental stress. Channelization and flow depletion are key stressors in urban aquatic ecosystems. However, the combined effects of these factors on benthic macroinvertebrate and fish communities in urban rivers remain poorly understood.
View Article and Find Full Text PDFEnviron Res
August 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address:
Research on the impact of multiscale complex environmental variables on the structure and function of aquatic communities is currently at the forefront, yet the gene regulatory mechanisms of aquatic communities remain poorly understood. In this study, we investigated the Yongding River watershed, a model system exhibiting pronounced environmental factors across "mountain-plain-coastal" sections and three spatial scales of "basin-reach-site". Through integrated eDNA metabarcoding and metatranscriptomics, we revealed that environmental factors at different scales significantly influence riverine microeukaryotic plankton community composition and functional genes expression profiles, which may be related to basin- and reach-scale variables indirectly influencing site-scale physiochemical conditions.
View Article and Find Full Text PDFBiodivers Data J
March 2025
Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences Beijing China.
Background: The Yongding River, the largest river flowing through Beijing, is a major tributary of the Haihe River system. It holds significant ecological, economic and social importance in northern China. However, due to the climate change and anthropogenic activities, parts of the tributaries and lower mainstream of the Yongding River have dried up in recent decades.
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