Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7755
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Master Thesis Current Conservation State of Some Art Nouveau Houses and Apartment Buildings in Istanbul(Izmir Institute of Technology, 2017) Türkarslan, Gizem; Turan, MineThis study presents five examples of Istanbul Art Nouveau residential architecture in Sarıyer and Beyoğlu districts and their current conservation state. The aim is to evaluate two family yalıs in Sarıyer and three apartment buildings in Beyoğlu. First, Art Nouveau characteristics, its emergence in Europe and Istanbul were investigated. It was important to understand the changes in residential architecture in late Ottoman Empire and see the differences between its late and classical examples before starting to examine the buildings. After the historical research, analysis work of the five case studies had been carried out in site scale including the near-by environment and in single building scales. The way followed was survey with conventional techniques, mapping for visual analysis; literature and archive research in the related municipalities and the conservation councils. Then, each building was evaluated with the information coming from the analysis work and finally a general evaluation became possible. In conclusion, it is observed that Sarıyer and Beyoğlu examples have different conservation problems. Sarıyer examples have conserved both their façade and plan characteristics. They are currently used with the same purpose as their original function, restored and maintained. Their conservation problems are mostly caused by the interventions through the years to their near-by environment their original building material was renewed. In Beyoğlu examples, it can be said that façade of the buildings were preserved but interior organization was changed due to the function changes in Beyoğlu in general. Facades have become shells of the modern interiors.Article Citation - WoS: 4Citation - Scopus: 4Selection of Alternative Landfill Location by Using a Geographical Information System. European Side of Istanbul. Case Study(Technical University of Wroclaw, 2016) Demir, Göksel; Kolay, Umut E.; Ökten, Hatice Eser; Alyüz, Ümmügülsüm; Bayat, CumaOne of the most difficult tasks encountered when implementing waste management practices in Turkey involves the selection of the most suitable area for a landfill. The Geographic Information System (GIS) which possesses the ability to imitate and process economic and environmental constraints, presents itself as a useful and effective decision support tool. This study will utilize the GIS to determine feasible alternative landfill areas on the European side of Istanbul, which has a high density population, showing that accurate selection results can be achieved at lower cost.Article Citation - WoS: 28Citation - Scopus: 18Artificial Neural Network Prediction of Tropospheric Ozone Concentrations in Istanbul, Turkey(John Wiley and Sons Inc., 2010) İnal, FikretTropospheric (ground-level) ozone has adverse effects on human health and environment. In this study, next day's maximum 1-h average ozone concentrations in Istanbul were predicted using multi-layer perceptron (MLP) type artificial neural networks (ANNs). Nine meteorological parameters and nine air pollutant concentrations were utilized as inputs. The total 578 datasets were divided into three groups: training, cross-validation, and testing. When all the 18 inputs were used, the best performance was obtained with a network containing one hidden layer with 24 neurons. The transfer function was hyperbolic tangent. The correlation coefficient (R), mean absolute error (MAE), root mean squared error (RMSE), and index of agreement or Willmott's Index (d2) for the testing data were 0.90, 8.78 μg/m3, 11.15μg/m3, and 0.95, respectively. Sensitivity analysis has indicated that the persistence information (current day's maximum and average ozone concentrations), NO concentration, average temperature, PM10, maximum temperature, sunshine time, wind direction, and solar radiation were the most important input parameters. The values of R, MAE, RMSE, and d2 did not change considerably for the MLP model using only these nine inputs. The performances of the MLP models were compared with those of regression models (i.e., multiple linear regression and multiple non-linear regression). It has been found that there was no significant difference between the ANN and regression modeling techniques for the forecasting of ozone concentrations in Istanbul. Tropospheric ozone has adverse effects on human health and environment. Here, the next-day's maximum 1-h average ozone concentrations in Istanbul were predicted using multi-layer perceptron type artificial neural networks (MLP-ANNs). The MLP-ANNs were compared to multiple linear and multiple non-linear regression models. Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.