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Aikaterini Lyra, Athanasios Loukas, Pantelis Sidiropoulos and Lampros Vasiliades
This study presents the projected future evolution of water resource balance and nitrate pollution under various climate change scenarios and climatic models using a holistic approach. The study area is Almyros Basin and its aquifer system, located in Ce...
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Charalampos Skoulikaris
Large-scale hydrological modeling is an emerging approach in river hydrology, especially in regions with limited available data. This research focuses on evaluating the performance of two well-known large-scale hydrological models, namely E-HYPE and LISF...
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Muhammad Usman, Rodrigo Manzanas, Christopher E. Ndehedehe, Burhan Ahmad, Oluwafemi E. Adeyeri and Cornelius Dudzai
This work evaluates the suitability of linear scaling (LS) and empirical quantile mapping (EQM) bias correction methods to generate present and future hydrometeorological variables (precipitation, temperature, and streamflow) over the Chitral River Basin...
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Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou and Konstantinos Voudouris
Triggering hydrological simulations with climate change gridded datasets is one of the prevailing approaches in climate change impact assessment at a river basin scale, with bias correction and spatio-temporal interpolation being functions routinely used...
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Tarekegn Dejen Mengistu, Tolera Abdisa Feyissa, Il-Moon Chung, Sun Woo Chang, Mamuye Busier Yesuf and Esayas Alemayehu
Regional information on stream discharge is needed in order to improve flood estimates based on the limited data availability. Regional flood estimation is fundamental for designing hydraulic structures and managing flood plains and water resource projec...
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Athanasios Tsagkanos, Konstantinos Gkillas, Christoforos Konstantatos and Christos Floros
The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 Ja...
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Ashkan Zarnani, Soheila Karimi and Petr Musilek
Information about forecast uncertainty is vital for optimal decision making in many domains that use weather forecasts. However, it is not available in the immediate output of deterministic numerical weather prediction systems. In this paper, we investig...
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V. E. Bening,R. V. Pirogov
Pág. 1 - 12
The paper presents statistical modeling of some random sum models. Poisson-binomial, Poisson, geometric random sums and random sums with volume of three-point symmetric distribution were modeled and analyzed. The results of this work are relevant not onl...
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Agnidé Emmanuel Lawin, Rita Hounguè, Yèkambèssoun N?Tcha M?Po, Nina Rholan Hounguè, André Attogouinon and Akambi Abel Afouda
This work focuses on impacts of climate change on Ouémé River discharge at Bonou outlet based on four global climate models (GCM) over Ouémé catchment from 1971 to 2050. Empirical quantile mapping method is used for bias correction of GCM. Furthermore, t...
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Chawarat Rotejanaprasert and Andrew B. Lawson
Quantile modeling has been seen as an alternative and useful complement to ordinary regression mainly focusing on the mean. To directly apply quantile modeling to areal data the discrete conditional quantile function of the data can be an issue. Although...
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