Showing 541 - 560 results of 956 for search '"hydrology"', query time: 0.06s Refine Results
  1. 541

    Hydroclimatic Variability, Characterization, and Long Term Spacio-Temporal Trend Analysis of the Ghba River Subbasin, Ethiopia by Mehari Gebreyohannes Hiben, Admasu Gebeyehu Awoke, Abraha Adugna Ashenafi

    Published 2022-01-01
    “…Understanding hydroclimatic variability and trend for the past four decades in the Upper Tekeze River basin is significant for future sustainable water resource management as it indicates regime shifts in hydrology. Despite its importance for improved and sustainable water allocation for water supply-demand and food security, varying patterns of streamflow and their association with climate change are not well understood in the basin. …”
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    Article
  2. 542

    Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 by Yulong Zhong, Baoming Tian, Hyunglok Kim, Xing Yuan, Xinyue Liu, Enda Zhu, Yunlong Wu, Lunche Wang, Lizhe Wang

    Published 2025-01-01
    “…Our findings deepen perception into the complex interactions between precipitation, land surface processes, and climate change, offering valuable implications for future water resource management and hydrological modeling.…”
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    Article
  3. 543

    An Alternative Statistical Model to Analysis Pearl Millet (Bajra) Yield in Province Punjab and Pakistan by Muhammad Zeshan Arshad, Muhammad Zafar Iqbal, Festus Were, Ramy Aldallal, Fathy H. Riad, M. E. Bakr, Yusra A. Tashkandy, Eslam Hussam, Ahmed M. Gemeay

    Published 2023-01-01
    “…Accordingly, the probability models have a more significant influence not only in reliability engineering, hydrology, ecology, and medicine but also in agriculture sciences. …”
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  4. 544
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    Trend Analysis of Relative Sea Level Changes in the Aegean Sea with Copula Functions by Ahmet Yavuzdoğan, Emine Tanır Kayıkçı

    Published 2020-01-01
    “…Copula functions, which are frequently used in many fields such as statistics, economics, actuarial analysis, meteorology and hydrology, have a correlation structure that reflects linear and nonlinear relationships and can show local dependencies. …”
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  6. 546
  7. 547

    Coupling Driving Force–Pressure–State–Impact–Response–Management Framework with Hydrochemical Data for Groundwater Management on Sithonia Peninsula, Greece by Eleni Parastatidou, Maria Margarita Ntona, Nerantzis Kazakis, Fotios-Konstantinos Pliakas

    Published 2025-01-01
    “…Geographical and demographic data, together with morphology, geology, hydrology, and groundwater quality data, were collected and evaluated to categorize the hydrosystem’s driving forces, pressures, states, impacts, and responses. …”
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  8. 548

    Identifying and evaluating causes of waste effect in green building projects by Usama Hamed Issa, Ahmed Gamal AbdelHaffez, Alaa Atif Abdel-Hafez, Kamal Abbas Assaf

    Published 2025-01-01
    “…The results show that the most significant cause of waste that has the highest value for economic, environmental, and social objectives is “Poor assessment of site conditions before design, such as topography, hydrology, climate, vegetation, and soil.” Group 05 has the maximum number of critical causes of waste, which is considered the most significant group, due to its high values related to all objectives. …”
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  9. 549

    Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka by Helani Perera, Shalinda Fernando, Miyuru B. Gunathilake, T. A. J. G. Sirisena, Upaka Rathnayake

    Published 2022-01-01
    “…However, it was clear that these products possess significant errors which cannot be ignored when using them in hydrological applications. The results of the study will be valuable for many parties including river basin authorities, agriculturists, meteorologists, hydrologists, and many other stakeholders.…”
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  10. 550

    Carabid beetles as indicators of stream zonation by Franziska Middendorf, Bernhard Eitzinger, Martin H. Entling, Jens Schirmel

    Published 2025-01-01
    “…Rivers and streams are characterised by longitudinal changes in hydrology and aquatic communities. Due to the strong connectivity between watercourses and adjacent terrestrial ecosystems, riparian communities might also show characteristic changes along stream courses. …”
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  11. 551
  12. 552

    Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics by Kyle D. Runion, Deepak R. Mishra, Merryl Alber, Mark A. Lever, Jessica L. O'Connell

    Published 2024-12-01
    “…We used the BERM machine learning algorithms to evaluate how variables relating to biological, climatic, hydrologic, and physical attributes covaried with these BGB observations. …”
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  13. 553

    Connectivity of vegetation diversity, carbon stock, and peat depth in peatland ecosystems by R. Garsetiasih, N.M. Heriyanto, W.C. Adinugroho, H. Gunawan, I W.S. Dharmawan, R. Sawitri, I. Yeny, N. Mindawati, . Denny

    Published 2022-07-01
    “…This study aimed to analyze the connection between vegetation diversity, carbon stocks, and peat depths in the Kahayan Sebangau Peat Hydrology Unit.METHODS: Plots at the peat depths of four sites were studied: site 1 (<50 cm), site 2 (393-478 cm), site 3 (479-564 cm), and site 4 (565-649 cm).CONCLUSION: All Pearson correlation values between peat depth, vegetation diversity, and carbon stock were positive with each other. …”
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  14. 554
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  16. 556

    Closing the phenotyping gap with non-invasive belowground field phenotyping by G. Blanchy, G. Blanchy, G. Blanchy, W. Deroo, T. De Swaef, P. Lootens, P. Quataert, I. Roldán-Ruíz, R. Versteeg, S. Garré

    Published 2025-01-01
    “…In this paper, we present the first data set of the new HYDRAS (HYdrology, Drones and RAinout Shelters) open-access field-phenotyping infrastructure, bringing electrical resistivity tomography, alongside drone imagery and environmental monitoring, to a technological readiness level closer to what breeders and researchers need. …”
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    Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood by Ling Zhang, Zhongshi Zhang, Lu Li, Xiaoling Chen, Xijin Wang, Entao Yu, Pratik Kad, Odd Helge Otterå, Chuncheng Guo, Jianzhong Lu, Mingna Wu

    Published 2025-01-01
    “…We developed a dynamical approach, NorESM-WRF-SWAT, integrating a global climate, a regional, and a hydrologic model to investigate the 1931 Yangtze River flood (the deadliest in the world) and compared it with the 1998’s. …”
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  20. 560