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EN
This study used advanced hydrological models, such as AGWA2 with SWAT and KINEROS2 extensions, to assess the water basins that lack observed field measurements. This approach provides a practical understanding of data systems for ungauged watersheds. Consequently, the research aimed to evaluate and identify suitable sites for subsurface dams in the Al Kur basin in northern Iraq. Additionally, this will contribute to the development of these areas, creating opportunities for the return of residents and sustainable organization of population and agricultural activities after two decades of unstable conditions as a result of conflicts and military operations where local governments are actively working towards achieving this goal. The analytical hierarchy process (AHP) identified Basin No. 20 as the most suitable location based on multiple decision criteria, including evapotranspiration, percolations, water yield, transmission losses, and sediment yield, which were obtained by applying the SWAT model for the study watershed. The evaluated SWAT model results indicate that Basin No. 20 received the highest rating based on these criteria. Using the KINEROS2 model, the response Basin No. 20 to individual rainstorm events was analyzed. Its ability to utilize runoff for groundwater recharging with minimal sediment load was confirmed, with only 0.286% of sediment load volume from the total outflow volume. This makes it a promising site for constructing a subsurface dam and contributes to improving water resource management in the region.
EN
This study presents a comprehensive analysis of rainfall trends in the middle Euphrates region of Iraq, extending from 1980 to 2018, including wide region between the stations of Samawa, Al-Najaf, Karbala, Hilla, and Diwaniya. The research aims to fill a critical gap in the understanding of regional hydrological patterns and provide essential insights for sustainable water resource management. Using advanced statistical methods, such as the MannKendall test and Sen’s slope estimator, along with autocorrelation and cross-correlation analyses, we detected slight trends that were not previously reported. Principally, the Mann-Kendall test indicated no significant overall trends, while Sen’s slope estimator identified slight positive and negative trends at specific stations, highlighting local climatic variations. the findings reveal that all stations, except Samawa, indicated stationarity and homogeneity, with a particularly strong positive mutual correlation between Karbala and Hilla stations (0.7693 at lag 0). This research contributes new insights into rainfall variability in the Middle Euphrates, in Iraq, which presents significant data to improve water resource management strategies and inform future hydrological studies in the region.
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