Evapotranspiration (ET), which is a combination of the words evaporation and transpiration, is expressed as the sum of water due to water consumption and evaporation in plants. In this study, the NASA Drought Early Warning Systems Network Land Data Assimilation System model (FLDAS NOAH) was used to determine evapotranspiration data for the 2018-2019 water years (October 2017-September 2019) on Turkey. In addition, NASA Global Land Data Assimilation System (GLDAS NOAH) was used for temperature data. Total precipitation data with corrected error rates are taken from MERRA-2 Model M2TMNXFLX. The relationship between the determined monthly total average evapotranspiration values and the monthly average precipitation and monthly average temperature values was determined by ArcGIS. It is important to examine the local evaporation and transpiration conditions in more detail in the regions where water resources planning will be made. The importance of water holding capacity in plants in determining agricultural and hydrological drought can be explained by evapotranspiration.
Bu çalışmada İklim Araştırma Birimi (Climatic Research Unit) tarafından oluşturulan yağış dağıtım ızgaraları kullanılarak Akarçay Havzası ve Van Gölü Havzası'nda 12 aylık Standartlaştırılmış Yağış İndeksi değerleri belirlenmiştir. Böylece her ızgarada belirlenen uzun dönemli kuraklık tespitinde kullanılabilen 12 aylık Standartlaştırılmış Yağış İndeksi değerleri sayesinde 1901-2015 yılları arasındaki dönem için Theil-Sen Eğim Tahmincisi Testi ile trend belirlenmiştir. 1901-2015 yılları arasındaki trend değerlerine göre Akarçay Havzası'nın kuzeyinde nemliliğin arttığı, güneyi ve doğusunda kuraklığın arttığı belirlenmiştir. Ayrıca Van Gölü Havzası'nın genelinde ise kuraklıklığın arttığı belirlenmiştir.
In this study, an open-source computational fluid dynamics (CFD) model was developed based on OpenFOAM libraries for the accurate and robust simulation of thermal distribution in a data center. Two boundary conditions were developed for the temperature field in the black-box modeling of server components. The numerical model was first validated by comparing numerical results with the experimental measurements for three benchmark problems in the field of thermal engineering. Then, thermal distribution in an open-aisle data center was simulated using the proposed numerical model and results were compared with the experimental measurements. The consistency between numerical results and previous experimental measurements indicates that the present numerical model can be reliably used for the efficiency assessment of air-cooled data centers. Efficiency of the data center can be evaluated with respect to four metrics in the proposed numerical model. In addition to the determination of the overall efficiency, distribution of the efficiency can be monitored over the racks to capture thermal zones where the efficiency decreases due to the recirculation effects and cold air by-pass.
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