City and Regional Planning / Şehir ve Bölge Planlama
Permanent URI for this collectionhttps://hdl.handle.net/11147/4274
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Conference Object Citation - Scopus: 2Lighting Quality and Work Performance Based on Glazing Types and Dynamic Led Lighting(IEEE, 2022) Köse, Fatma Büşra; Tayfur, Gökmen; Duran, Hasan Engin; Kazanasmaz, Zehra TuğçeThe combination of daylight characteristics and LED lighting quantities determines offices' visual environment. Lighting conditions can influence office workers' health and work performance. This study is an experimental one containing lighting measurements in two offices, subjective performance tests, and questionnaires to find out how work performance, lighting preferences, and satisfaction with lighting quality modify in terms of various glass types and dynamic LED lighting quantities. Glass types have strong impacts on contrast tests on paper and luminance which are corresponding to work performance. Regarding lighting quality, it strongly relates to the homogeneity of light, the impression of artificial light and the perception of objects' textures and color, contrast balance between paper and the surrounding. When the glass was modified in offices, we observed that participants preferred to change the CCT setting of LED by remote control, and in relation to that the eye-level illuminance and SPDs showed significant changes. So, the findings depicted the importance of the choice of glass types concerning LED lighting settings in terms of the above variables.Article Citation - WoS: 8Citation - Scopus: 8Estimation Groundwater Total Recharge and Discharge Using Gis-Integrated Water Level Fluctuation Method: a Case Study From the Alasehir Alluvial Aquifer Western Anatolia, Turkey(Springer Verlag, 2020) Şimşek, Celalettin; Demirkesen, Ali Can; Baba, Alper; Kumanlıoğlu, Ahmet; Durukan, Seda; Aksoy, Niyazi; Tayfur, GökmenThe estimation of groundwater recharge is an essential process for hydrogeological study. Realistic determination approach is crucial for assessing groundwater potential in an aquifer system and estimating of groundwater levels and/or changes in dry periods. Based on these matters, we employ a GIS-integrated groundwater level fluctuation method to determine the groundwater recharge for a hydrological period in the Alasehir alluvial aquifer (W. Anatolia). The method basically takes into account both increasing and decreasing of the groundwater levels due to the recharge and discharge mechanisms in the aquifer. In this study, 16 pumping and monitoring wells were drilled with a total depth of 1300 m, and water level data loggers were installed into the monitoring wells to determine the groundwater level changes. The spatial distribution of the monthly groundwater level change map was multiplied by the aquifer storage distribution map and then the accurate water volume is calculated by using the 3-D spatial analysis. According to our evaluation in the aquifer, positive volume change of the groundwater is 187 hm(3) in a year, which is considered as a recharge value of groundwater. It is concluded that the GIS-integrated water table fluctuation method gave rise to estimate the total recharge amount of the groundwater in the Alasehir aquifer. The total groundwater recharge indicates that total inflow in the aquifer from precipitation, leakage from surface water and irrigation waters. It can be stated that the recharge estimation of groundwater in a surficial aquifer, like the Alasehir aquifer, is fairly easy using the GIS-integrated water table fluctuation method.Article Citation - WoS: 16Citation - Scopus: 20Groundwater Recharge Estimation Using Hydrus 1d Model in Alaşehir Sub-Basin of Gediz Basin in Turkey(Springer Verlag, 2019) Tonkul, Serhat; Baba, Alper; Şimşek, Celalettin; Durukan, Seda; Demirkesen, Ali Can; Tayfur, GökmenGediz Basin, located in the western part of Turkey constituting 2% land of the country, has an important groundwater potential in the area. Alasehir sub-basin, located in the southeast of the Gediz Basin and subject to the extensive withdrawal for the irrigation, constitutes the study area. Natural recharge to the sub-basin due to precipitation is numerically investigated in this study. For this purpose, 25 research wells, whose depths range from 20 to 50 m, were drilled to observe the recharge and collect the necessary field data for the numerical model. Meteorological data were collected from 3 weather stations installed in the study area. The numerical model HYDRUS was calibrated using the field water content data. Soil characterization was done on the core samples; the aquifer characterization was performed, and the alluvial aquifer recharge due to precipitation was calculated. As a result, the computed recharge value ranges from 21.78 to 68.52 mm, with an average value of 43.09 mm. According to the numerical model, this amount of recharge corresponds to 10% of the amount of annual rainfall.Conference Object Akifere Yağıştan Süzülme Miktarının Sondaj Verileri Kullanılarak Tahmin Edilmesi: Alaşehir (manisa) Havzası(TMMOB Jeoloji Mühendisleri Odası, 2018) Tonkul, Serhat; Baba, Alper; Şimşek, Celalettin; Tayfur, Gökmen; Durukan, Seda; Kumanlıoğlu, Ahmet; Demirkesen, Ali CanSon yıllarda iklim değişikliğine bağlı su kullanımının artması ve buna ek olarak aşırı nüfus artışı, yeraltısuyu kullanımını arttırmakta ve su kaynaklarını tehdit etmektedir. Su kaynaklarının sürdürülebilirliğinin sağlanması için barajlar ve yapay göller inşa edilmekte, ancak bu yapıların geniş yüzey alanlarında çok fazla buharlaşma görülmektedir. Dolayısı ile yeraltı suyunun, buharlaşma kayıplarının yaşanmadığı direkt yağış ile beslenen yapay beslenmesi önem kazanmaktadır. Yapay beslenme, havzalardaki suyu fazla buharlaşmadan korur ve su kaynaklarının potansiyelini artırıp, sürdürülebilirliğini sağlar. Bu çalışma kapsamında nümerik metotlar kullanılarak, Alaşehir (Manisa) havzasında alüvyon akiferin beslenmesinin belirlenmesi amaçlanmıştır. Türkiye’nin batısında yer alan ve ülkenin %2’sini oluşturan Gediz Havzası, önemli bir yeraltı suyu potansiyelinin olduğu ve kullanıldığı alan konumundadır.Article Citation - WoS: 2Citation - Scopus: 2Soft Computing and Regression Modelling Approaches for Link-Capacity Functions(Czech Technical University in Prague, 2016) Koşun, Çağlar; Tayfur, Gökmen; Çelik, Hüseyin MuratLink-capacity functions are the relationships between the fundamental traffic variables like travel time and the flow rate. These relationships are important inputs to the capacity-restrained traffic assignment models. This study investigates the prediction of travel time as a function of several variables V/C (flow rate/capacity), retail activity, parking, number of bus stops and link type. For this purpose, the necessary data collected in Izmir, Turkey are employed by Artificial Neural Networks (ANNs) and Regression-based models of multiple linear regression (MLR) and multiple non-linear regression (MNLR). In ANNs modelling, 70% of the whole dataset is randomly selected for the training, whereas the rest is utilized in testing the model. Similarly, the same training dataset is employed in obtaining the optimal values of the coefficients of the regression-based models. Although all of the variables are used in the input vector of the models to predict the travel time, the most significant independent variables are found to be V/C and retail activity. By considering these two significant input variables, ANNs predicted the travel time with the correlation coefficient R = 0:87 while this value was almost 0.60 for the regression-based models.Article Citation - WoS: 2Citation - Scopus: 1Significance of Rent Attributes in Prediction of Earthquake Damage in Adapazari, Turkey(Czech Technical University in Prague, 2014) Tayfur, Gökmen; Bektaş, Birkan; Duvarcı, YavuzThis paper analyses rent-based determinants of earthquake damage from an urban planning perspective with the data gathered from Adapazari, Turkey, after the disaster in 1999 Eastern Marmara Earthquake (EME). The study employs linear regression, log-linear regression, and artificial neural networks (ANN) methods for cross-verification of results and for finding out the significant urban rent attribute(s) responsible for the damage. All models used are equally capable of predicting the earthquake damage and converge to similar results even if the data are limited. Of the rent variables, the physical density is proved to be especially significant in predicting earthquake damage, while the land value contributes to building resistance. Thus, urban rent can be the primary tool for planners to help reduce the fatalities in preventive planning studies.