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- MakaleYalnız künye2026Scopus SJRQ2An Investigation of the Variability of Short-Term Drought with SPEI-Based Severity, Duration and Magnitude Parameters in a Transboundary Basin
Akbas, Ergun; Acar, Ramazan; Eşit, Musa; Koycegiz, Cihangir
Climate change-induced variability in the water budget leads to significant drought events. In this study, severity, duration, and magnitude parameters obtained from 1-month and 3-month series of the Standardized Precipitation Evapotranspiration Index (SPEI) were used to investigate short-term drought from different perspectives. The lower part of the Euphrates-Tigris Basin, which is a transboundary basin, was preferred as the study area within the borders of Türkiye. In this study, monthly total precipitation and monthly mean temperature data for the period 1963–2021 were used. Both graphical (Şen Innovative Trend Analysis) and statistical (Mann–Kendall, Spearman’s Rho, Sen’s Slope Estimator) trend analysis methods were applied to detect, categorize, and analyze the variability of drought. The Combination of Wilcoxon Test and Scatter Diagram (CWTSD) method, which offers both graphical and statistical trend analysis capabilities, was preferred to enhance consistency and facilitate comparison of results. According to the findings, more severe droughts are observed in the eastern part of the basin compared to the western part. Across the basin, severity and magnitude are decreasing, while duration is increasing. The increase in duration indicates that droughts are shifting from short-term to long-term periods. This situation is of great importance in terms of planning agricultural strategies.
AtıfOpenAlex3
İncele - MakaleYalnız künye2025Scopus SJRQ1Rainfall trends in the transboundary Euphrates-Tigris River Basin
Acar, Ramazan; Akbas, Ergun; Koycegiz, Cihangir; Esit, Musa
Climate change and anthropogenic factors have a significant impact on rainfall variability. In this study, the trends of monthly total precipitation in the transboundary Euphrates-Tigris River Basin (ETRB), where these effects are intensely observed, were analyzed by trend analysis methods with various perspectives. After decomposing the monthly total rainfall series (1964–2021) obtained from 18 stations representing 12 months of the year, statistical (Mann-Kendall, Wilcoxon, Onyutha), graphical (Innovative Polygon Trend Analysis, IPTA), Trend Polygon Star Concept, TPSC), sub-trend (Onyutha) and spatial trend analyses were performed. Based on the results, it was observed that rainfall in the basin has significant spatial and temporal variability. A monotonic strong decreasing trend was observed in cold months with high rainfall, while an increasing trend was observed in warm months with low rainfall. Extreme rainfall during the winter months has shifted towards the end of the cold months. Graphical and statistical analysis methods have shown strong consistency in identifying monotonic trends. However, the implementation of various methods provides specific insight (transition, sub-trend, etc.) into the temporal and spatial variability of rainfall. Sub-trend analysis shows that rainfall characteristics in the cold months show a significant change before and after the 1990–2000 period. In warmer months, this variability is significantly affected by local and global driving forces. The central and marginal parts of the ETRB have different rainfall characteristics. During cold months, the monotonic trend (decreasing) is significant in the central part. In warm months, the monotonic trend (increasing) increases its intensity in the eastern parts.
AtıfScopus12WoS10OpenAlex14İncele - MakaleYalnız künye2022APPLICATION OF RAINWATER HARVESTING TO MUNZUR UNIVERSITY CAMPUS AND EXAMINATION OF CONTRIBUTIONS
Korkmaz, Meral
The world is facing drought, and over time, water problems are becoming more serious. Agricultural land and green areas are gradually declining due to water scarcity. While the amount of available water is gradually decreasing, people's unnecessary use of water and water consumption are increasing. This, in turn, requires the accurate use of existing water resources and the realization of intelligent building systems as soon as possible. Despite this fact, none of the university's public buildings currently use systems such as the rainwater harvesting technique. The main aims of this research are to find effective results in terms of savings and to contribute to avoiding water shortages in the future. It is important today to immediately begin making future housing with these systems and to integrate these intelligent systems into public buildings, especially incorporating the latest technologies. In this study, the advantages of zero-energy built roofs and rainwater harvesting systems on the Munzur University campus are evaluated.
AtıfWoS1İncele - MakaleYalnız künye2021TREND ANALYSIS OF THE EFFECT OF RAIN ON SOLAR ENERGY PRODUCTION IN A SUSTAINABLE FUTURE
Korkmaz, Meral
The greatest need of the modern world is energy. From production to consumption, energy has become essential in all areas. As fossil-derived energy production systems cause global warming and climate change, interest in renewable energy sources is increasing. Despite the pandemic, solar production has shown promising growth throughout the world. Turkey has been encouraging investments in renewable energy sources, especially solar energy, for the last 10 years. Feasibility studies before the installation of solar power plants are crucial for investors. As a result of feasibility studies, the cost of the investment and the depreciation period can be calculated. In this study, feasibility studies of the 474 kWp power plant in Samsun province were carried out with PVsyst program. Significant differences were found between the software results and the actual results of the solar plant built in Samsun province. Production losses between actual data and numerical data are thought to be related to meteorological data. There are numerous studies in the literature about PV software. However. current studies have not examined the effect of meteorological data of the region on the difference in production between PV software results and solar power plant production values. In this study, the Sen method was used to determine the precipitation trend by taking meteorological data from Samsun province. With this method, rainfall in Samsun province was seen to be on an upward trajectory. For this reason, in regions where there is a lot of precipitation; feasibility studies of solar power plants are falling by approximately 9 percent.