Showing 561 - 580 results of 956 for search '"hydrology"', query time: 0.07s Refine Results
  1. 561
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    Parameter Uncertainty Analysis for Streamflow Simulation Using SWAT Model in Nashe Watershed, Blue Nile River Basin, Ethiopia by Megersa Kebede Leta, Dessalegn Geleta Ebsa, Motuma Shiferaw Regasa

    Published 2022-01-01
    “…The hydrological model is an important tool in water resource management, allocation, and prediction. …”
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    Article
  3. 563

    Drought Occurrence in Central European Mountainous Region (Tatra National Park, Slovakia) within the Period 1961–2010 by Jaroslav Vido, Tsegaye Tadesse, Zbyšek Šustek, Radoslav Kandrík, Miriam Hanzelová, Jaroslav Škvarenina, Jana Škvareninová, Michael Hayes

    Published 2015-01-01
    “…It has been observed that the drought phenomenon has severe impacts on the agriculture, hydrology, social, and economic sectors of lowland areas. …”
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    Article
  4. 564

    Changes in Different Classes of Precipitation and the Impacts on Sediment Yield in the Hekouzhen-Longmen Region of the Yellow River Basin, China by Suzhen Dang, Xiaoyan Liu, Xiaoyu Li, Manfei Yao, Dan Zhang

    Published 2018-01-01
    “…The impacts of precipitation variation on sediment yield were evaluated, and the hydrological modeling method was used to quantitatively assess the attribution of precipitation and other factors to sediment yield changes in the HLR. …”
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    Article
  5. 565
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    Closing the Global Marine 226Ra Budget Reveals the Biological Pump as a Dominant Removal Flux in the Upper Ocean by Bochao Xu, M. Bayani Cardenas, Isaac R. Santos, William C. Burnett, Matthew A. Charette, Valentí Rodellas, Sanzhong Li, Ergang Lian, Zhigang Yu

    Published 2022-06-01
    “…Abstract Radium isotopes are powerful proxies in oceanography and hydrology. Radium mass balance models, including assessments of submarine groundwater discharge (SGD), often overlook particle scavenging (PS) as a pathway for dissolved radium removal from the world ocean. …”
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    Article
  7. 567

    Characteristics of flora and vegetation of Kolmakhtun Lake – Nature Reserve of local significance of Tomsk Region (West Siberia, Russia) by Valentina P. Amelchenko, Tatiana A. Blyakharchuk, Yulia A. Kharanzhevskaya, Rinat M. Manasypov, Tatiana N. Kataeva

    Published 2024-12-01
    “…A complex team of researchers from Tomsk State University performed a multi-years research of hydrology, flora and vegetation of this area. In details have been investigated flora and vegetation of Kolmakhtun Lake and surrounding area. …”
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    Article
  8. 568

    Evolution and trend of landslide research in India based on a decade long publication record by Ashutosh Kainthola, Vishnu Himanshu Ratnam Pandey, Gaurav Kushwaha, Kumari Priya, P. K. Singh, T. N. Singh

    Published 2025-01-01
    “…The study highlights geology, geomorphology, and hydrology as key aggravating factors for landslide instances.…”
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    Article
  9. 569

    Assessment of the stocks and forecast of the catches of bream (Abramis brama Linnaeus, 1758), common carp (Cyprinus carpio Linnaeus, 1758), roach (Rutilus rutilus Linnaeus, 1758),... by O. Marenkov, O. Nesterenko, I. Borovyk, M. Shmahailo, A. Hamolin

    Published 2024-12-01
    “…Biological sampling was carried out during the 2024 growing season during test and commercial fishing in the Zaporizhzhia reservoir in three areas that differed in hydrology and degree of human impact. Findings. …”
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    Article
  10. 570

    Forecast Customization System (FOCUS): A Multimodel Ensemble-Based Seasonal Climate Forecasting Tool for the Homogeneous Climate Zones of Myanmar by Itesh Dash, Masahiko Nagai, Indrajit Pal

    Published 2019-01-01
    “…The tool was developed using hindcast data from 7 Global Climate Models (GCMs) and observed rainfall data from 49 meteorological surface observatories for the period of 1982 to 2011 from the Department of Meteorology and Hydrology. Based on the homogeneity in terms of the rainfall received annually, the country was divided into six climatological zones. …”
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    Article
  11. 571

    Light and photosynthesis in aquatic ecosystems / by Kirk, John T. O. (John Thomas Osmond), 1935-

    Published 2011
    Table of Contents: “…The Underwater Light Field -- Concepts of hydrologic optics -- Incident solar radiation -- Absorption of light within the aquatic medium -- Scattering of light within the aquatic medium -- Characterizing the underwater light field -- The nature of the underwater light field -- Remote sensing of the aquatic environment -- Part II. …”
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  12. 572

    Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway by Mohib Ullah, Haijun Qiu, Wenchao Huangfu, Dongdong Yang, Yingdong Wei, Bingzhe Tang

    Published 2025-01-01
    “…Twelve geospatial factors were examined, categorized into Topography/Geomorphology, Land Cover/Vegetation, Geology, Hydrology, and Anthropogenic Influence. A detailed landslide inventory of 272 occurrences was compiled to train the models. …”
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    Article
  13. 573

    Long-Term Homogeneity and Trends of Hydroclimatic Variables in Upper Awash River Basin, Ethiopia by Mekonnen H. Daba, Gebiaw T. Ayele, Songcai You

    Published 2020-01-01
    “…Understanding long-term trends in hydroclimatic variables is important for future sustainable water resource management as it could show the possible regime shifts in hydrology. The main objective of this study was to analyze the homogeneity and trends of hydroclimatic data of Upper Awash Sab-Basin (UASB) in Oromia, Ethiopia, by employing homogeneity tests and Mann-Kendall and Sen’s slope tests. …”
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    Article
  14. 574

    A numerical model for duricrust formation by water table fluctuations by C. Fenske, C. Fenske, J. Braun, J. Braun, F. Guillocheau, C. Robin

    Published 2025-02-01
    “…We demonstrate that when using model parameter values obtained by independent constraints from field observations, hydrology, and geochronology, the model predictions reproduce the observed conditions for duricrust formation. …”
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    Article
  15. 575

    Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

    Published 2024-06-01
    “…In Nepal, the Department of Hydrology and Meteorological uses a numerical modeling approach to forecast the weather, which is tardy and requires high-end equipment to process the information, so a deep learning approach will be the best alternative. …”
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    Article
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