Statistical and Visual Evaluation of Artificial Neural Networks and Multiple Linear Regression Performances in Estimating Reference Crop Evapotranspiration for Mersin
Unel, Fatma Bunyan | Kusak, Lutfiye | Yakar, Murat
This is study aimed to create a model for calculating the total reference crop evapotranspiration (ETo) in Mersin Province from May 2015 to 2020 and to generate maps using spatial analysis. Lemons from citrus play a significant role inMersin’s agriculture, and because of lemons’ sensitivity to temperature, ETo is essential for them. Itwas observed that the ETo value (EToPM) calculated using the Penman-Monteith (PM)method increased over the years. A model was developed using data from çâ Automated Weather Observing Systems (AWOS) in Mersin, Türkiye, which is located in a semi-arid climate zone. the model was created using Multiple Linear Regression (MLR) and artificial neural network (ANN) methods. the station climate data were divided into training and test datasets separately and c...
Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
Çelik, Mehmet Özgür | Kuşak, Lütfiye | Ünel, Fatma Bünyan | Alptekin, Aydın | Yakar, Murat
In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was created and the pre-landslide conditions of the region were evaluated with traditional statistical and spatial data mining methods. The current orthophoto of the region was created by unmanned aerial vehicle (UAV). In this way, the landslide areas in the region were easily determined. According to this, it was determined that the areas affected by the landslides had an average slide of 26.56 m horizontally. The relationships among the topographic, hydrographic, and vegetative factors of the region were revealed using the Apriori algorithm. It was determined that the areas with low vegetation in the study area with 55% confidence were of a Strong Slope feature from the Apriori algorithm. In addit...
SWOT analysis of green building systems in real estate development
Ünel, Fatma Bünyan
Sustainable and green facts are important for leaving a healthy environment for future generations. These facts are like sustainable development, sustainable city, green building, green economy, and so on. Green building is an innovative solution to sustainable urban planning problems. In this study, green building, sustainability, development processes are examined, and the opportunities and threats of green buildings with their strengths and weaknesses are determined by SWOT analysis. Besides, the construction cost and energy savings of a green building are compared to the traditional building. As a result of SWOT analysis, besides its significant strengths such as sustainability of green buildings, low energy consumption, and independence of energy consumption, high initial investment c...