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  1. 241

    Projection and prediction of the annual and seasonal future reference evapotranspiration time scales in the West of Iran under RCP emission scenarios by Shadieh Heydari Tasheh Kaboud, Younes Khoshkhoo

    Published 2019-06-01
    “…To this purpose, four stations including Sanandaj, Saghez, Khorramabad and Kermanshah synoptic stations with enough long-term data were selected and the climate change impact on the reference evapotranspiration of these stations under two RCP2.6 and RCP8.5 scenarios in three future time periods including 2011-2040, 2041-2070 and 2071-2100 in comparison with the 1970-1999 base period was studied. …”
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  2. 242

    Performance Assessment of Hybrid Fibre-Reinforced Concrete (FRC) under Low-Speed Impact: Experimental Analysis and Optimized Mixture by Abbas Sadeghian, Taleb Moradi Shaghaghi, Yaghoub Mohammadi, Hossein Taghipoor

    Published 2023-01-01
    “…Fibre-reinforced concrete (FRC) has gained tremendous attention in many disciplines due to its high initial strength, favorable mechanical properties, structural lightness, and energy-absorbing properties. …”
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  3. 243

    Projection in Future Drought Hazard of South Korea Based on RCP Climate Change Scenario 8.5 Using SPEI by Byung Sik Kim, In Gi Chang, Jang Hyun Sung, Hae Jin Han

    Published 2016-01-01
    “…The Standardized Precipitation Evapotranspiration Index (SPEI) analysis was conducted using monthly precipitation data and temperature data on a 12.5 km × 12.5 km resolution based on a Representative Concentration Pathways (RCP) 8.5 climate change scenario, and the characteristics of drought were identified by the threshold. …”
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    Understanding ASEAN Centrality: Comparative Analysis of ‘Core’ and ‘Hub’ Strategies by Shintaro Hamanaka

    Published 2025-01-01
    Subjects: “…regional comprehensive economic partnership (RCEP)…”
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    Simulation of Temperature Changes in the western half of Iran during (1960-2100) by using reanalysis datasets and RCP8.5 Models by Hossin Asakereh, Piero Lionello, hossein mirmousavi, sahar sadrafshari

    Published 2022-09-01
    “…Later data Simulated and compared with reanalysis data such as ERA-Interim, ERA-20C, NCEP and CMIP5 models (RCP8.5 for the period 1960-2100). Trends were calculated by the Mean Kendall test and the Sen’s estimator (95 % confidence level). …”
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  9. 249

    Genetic, biological and economic evaluation of sweet potato accessions in the collection of the Plant Introduction and Acclimatization Department, Udmurt FRC, UB RAS by A. V. Fedorov, D. A. Zorin, O. A. Ardasheva

    Published 2020-12-01
    “…., Udmurt Federal Research Center, Ural Branch of the RAS (UdmFRC UB RAS).Within this experiment, DNA polymorphism of 16 accessions of I. batatas was tested using ISSR markers. …”
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  12. 252

    ارزیابی دورنمای تغییرات تبخیر-تعرق مرجع حوزه آبخیز رودخانه ارس در شرایط اقلیمی آینده تحت سناریوهای RCP by برومند صلاحی, مهناز صابر, عباس مفیدی

    Published 2023-03-01
    “…لذا، پارامترهای اقلیمی با استفاده از مدل CanESM2 تحت سناریوهای RCP برای آینده شبیه­‌سازی شده، پس از محاسبه مقادیر ماهانه آن‌ها، برای تخمین ETo حوضه به CROPWAT وارد شده و مقدار و روند متغیر برای سه دهه آتی محاسبه شد. …”
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  13. 253

    Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

    Published 2018-01-01
    “…The shear strength prediction of fiber-reinforced polymer- (FRP-) reinforced concrete beams is one of the most complicated issues in structural engineering applications. …”
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    Flood risk zoning due to climate change under RCP 8.5 scenario using hydrologic model SWAT in Gis (Azarshahr basin) by Mohammadreza Goodarzi, Atiyeh Fatehifar

    Published 2019-06-01
    “…Therefore, in this study, in order to investigate the risk of flood in the Azarshahr basin, due to climate change, using the CanESM2 general circulation model under RCP8.5 scenarios negativity according to the assessment report fifth IPCC, rainfall and temperature variables were down scaling by Statistical down scaling model (SDSM). …”
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