Showing 2,081 - 2,100 results of 2,780 for search '"river"', query time: 0.06s Refine Results
  1. 2081

    Hydrogeochemical characterization and water quality assessment of mountain springs: Insights for strategizing water management in the lesser Indian Himalayas by Bhargabnanda Dass, M. Someshwar Rao, Sumit Sen

    Published 2025-02-01
    “…Significant variations in key ions (Ca²⁺, Mg²⁺, HCO₃⁻, K⁺) across spring, stream, and river sources indicate diverse geochemical processes influenced by local geology and hydrology. …”
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    Article
  2. 2082
  3. 2083
  4. 2084

    Specialized Metabolite Profiling-Based Variations of Watercress Leaves (<i>Nasturtium officinale</i> R.Br.) from Hydroponic and Aquaponic Systems by Ivon Buitrago-Villanueva, Ricardo Barbosa-Cornelio, Ericsson Coy-Barrera

    Published 2025-01-01
    “…Traditionally, commercial cultivation is conducted in submerged beds using river or spring water, often on soil or gravel substrates. …”
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    Article
  5. 2085
  6. 2086

    Liquefaction and Reliquefaction Characteristics of Aeolian Sand Foundation Reinforced by Precast Cement Piles Based on Shaking Table Test by Zhaorong Zhu, Yuan Zhou, Kan Han, Honggang Wu, Shouquan Zhao

    Published 2022-01-01
    “…With the continuous development of traffic construction, road engineering inevitably crosses the aeolian sand river valley area. Compared with general sandy soil and silty soil, cohesionless aeolian sand foundation has similar properties with fluid and higher liquefaction potential. …”
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  7. 2087

    Effects of fishing and environmental parameters on the commercial bony fish assemblage in the southern Caspian Sea by Fazli Hasan, Kaymaram Farhad, Daryanabard Gholam Reza

    Published 2022-03-01
    “…Based on the AIC criteria, the combination of year, precipitation, SST_Apr, SSL, SST, GTA, Iranian rivers, and Volga discharges explain 80.3% of the total variability. …”
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  8. 2088

    Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

    Published 2025-02-01
    “…Study region:: Hanjiang River Basin, China Study focus:: This study introduces DLGNet, an advanced water level prediction model that employs an adaptive multi-resolution decomposition to decouple multiple periodic components. …”
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  9. 2089

    Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation? by E. Macdonald, B. Merz, B. Merz, V. D. Nguyen, S. Vorogushyn

    Published 2025-01-01
    “…This is done using a model chain consisting of a stochastic weather generator, a conceptual rainfall-runoff model, and a river routing routine. For a large synthetic catchment, long time series of daily rainfall with varying tail behaviours and varying degrees of spatial variability are generated and used as input for the rainfall-runoff model. …”
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  10. 2090

    Erosion–Seepage System (ESS) for Flow-Induced Soil Erosion Rate with Seepage by Yuhuan Zhang, Lin Cui, Dong-Sheng Jeng, Zheng Wang, Hualing Zhai

    Published 2025-01-01
    “…Through the designed ESS, the erosion height per unit time was measured directly on the Yellow River sand, and the upward seepage force was applied at the bottom of the soil sample in the process. …”
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    Article
  11. 2091

    Air Pollution and Watershed Research in the Central Sierra Nevada of California: Nitrogen and Ozone by Carolyn Hunsaker, Andrzej Bytnerowicz, Jessica Auman, Ricardo Cisneros

    Published 2007-01-01
    “…We relate the atmospheric N concentration to N concentrations in streams, shallow soil water, and bulk deposition collectors within the Kings River Experimental Watershed. This watershed also contains an intensive site that is part of a recent Forest Service effort to calculate critical loads for N, sulfur, and acidity to forest ecosystems. …”
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  12. 2092
  13. 2093
  14. 2094

    Microstructural Features of Freezing and Thawing-Creep Damages for Concrete Mixed with Fly Ash by Bing Li, Lian-ying Zhang, Ming Li, Hai Pu, Chao Ma, Pei-tao Qiu

    Published 2021-01-01
    “…The microfracture morphology of the concrete was found to include five types of brittle fractures—river, step, cascade, hemispherical, and irregular patterns—and two types of ductile fractures—dimple and peak forest patterns. …”
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  15. 2095

    UAV Data Collection Co-Registration: LiDAR and Photogrammetric Surveys for Coastal Monitoring by Carmen Maria Giordano, Valentina Alena Girelli, Alessandro Lambertini, Maria Alessandra Tini, Antonio Zanutta

    Published 2025-01-01
    “…For this reason, the goal of this work is to evaluate the performance of the iterative closest point (ICP) method for registering point clouds in coastal environments, using a single-epoch and multi-sensor survey of a coastal area (near the Bevano river mouth, Ravenna, Italy). The combination of multiple drone datasets (LiDAR and photogrammetric clouds) is performed via indirect georeferencing, using different executions of the ICP procedure. …”
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  16. 2096

    Analysis of Hydrological Memory Characteristics in Taiwan’s Catchments by Ting-Jui Fang, Hsin-Yu Chen, Hsin-Fu Yeh

    Published 2024-12-01
    “…The conceptual model of hydrological memory shows that extreme precipitation and other hydrological climate anomalies primarily impact river streamflow generation 33 days (1.11 months) later, with the influence of precipitation on streamflow recharge lag up to 50 days (1.67 months). …”
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  17. 2097

    A baenid turtle shell from the Mesaverde Formation (Campanian, Late Cretaceous) of Park County, Wyoming, USA by Wu, Ka Yan, Heuck, Jared, Varriale, Frank J., Farke, Andrew

    Published 2023-07-01
    “…The Mesaverde Formation of the Wind River and Bighorn basins of Wyoming preserves a rich yet relatively unstudied terrestrial and marine faunal assemblage dating to the Campanian. …”
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  18. 2098

    Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

    Published 2025-01-01
    “…Spatial and temporal analyses revealed that IMERG Final closely aligns with observed precipitation, particularly in the high-rainfall areas like the Yangtze River Basin, while GSMaP MVK and ERA5 tend to overestimate precipitation in arid and semi-arid regions. …”
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  19. 2099
  20. 2100

    Analysis of Hydrogeochemical Characteristics of Tunnel Groundwater Based on Multivariate Statistical Technology by Chen Peng, Yuanming Liu, Huiyu Chen, Qiaowei Yuan, Qingzhi Chen, Shilong Mei, Zhonghu Wu

    Published 2021-01-01
    “…Cluster 3 is dominated by upper surface river water and characterizes the geochemistry in natural water bodies dominated by the dissolution of carbonate, sulfate, and salt rocks. …”
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