Civil Engineering / İnşaat Mühendisliğihttp://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/4972024-03-29T15:57:34Z2024-03-29T15:57:34ZInvestigation of Transition Possibilities between Drought Classifications Using Standardized Precipitation Index for Wet and Dry Periods-Lower Seyhan Plain, Türkiye CaseSimsek, Serin DegerliCapar, Omer FarukTurhan, Evrenhttp://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/42272023-10-11T12:17:04Z2023-04-01T00:00:00ZInvestigation of Transition Possibilities between Drought Classifications Using Standardized Precipitation Index for Wet and Dry Periods-Lower Seyhan Plain, Türkiye Case
Simsek, Serin Degerli; Capar, Omer Faruk; Turhan, Evren
In this study, the Karaisali region of Turkiye, which has a semi-arid climate and is known to contain the exten-sive plains and rich water resources of the Seyhan Basin, was preferred as a study area for investigating wet and drought periods for a long timescale. Forty-one years of total precipitation data, between 1980 and 2020, belonging to the closest precipitation observation station located in the Karaisali region were used. By using the Standardized Precipitation Index (SPI), which is one of the frequently used meteorological drought indices, drought classifica-tion probabilities, expected first transition period and residence time in each drought severity class values were calculated for the 12-month time scale. As a result of the study, it was determined that the most drought period took place in 2012 according to the examined time duration. In addition, the most wet period was observed in 2001. When various time scales were considered, SPI-3 and SPI-6 have Near Normal Wet periods, while SPI-9 and SPI-12 have Near Normal Drought periods. Extremely Wet periods were more numerous, while Extremely Drought periods lasted longer. In addition, 3 months after the end of the drought categories, it can be seen that the Wet and Drought periods change into Near Normal Wet and Near Normal Drought periods.
WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
2023-04-01T00:00:00ZSupplementing Missing Data Using the Drainage-Area Ratio Method and Evaluating the Streamflow Drought Index with the Corrected Data SetTurhan, EvrenSimsek, Serin Degerlihttp://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/42022023-04-19T11:11:31Z2023-02-01T00:00:00ZSupplementing Missing Data Using the Drainage-Area Ratio Method and Evaluating the Streamflow Drought Index with the Corrected Data Set
Turhan, Evren; Simsek, Serin Degerli
In water resources management, it is essential to have a full and complete set of hydrological parameters to create accurate models. Especially for long-term data, any shortcomings may need to be filled using the appropriate methods. Moving the recorded observed data using the drainage-area ratio (DAR) method to different points is considered one of these methods. The present study used data from six different flow observation stations in the Asi River sub-basin, known as the fertile agricultural areas in Turkey, and transferred the data to various other locations that already have existing observations. This study tested how close the values this method produced were to the actual values and investigated the question how is missing data imputation improved by the determination of method bias coefficients? to analyze the method's accuracy, the streamflow drought index (SDI)-a hydrological drought index-was applied over a 12 month timescale. Contour maps were formed according to both the obtained index results by using the original data from the target station and the transferred streamflow data. As a result of this study, a severe divergence from the actual values was observed in the data directly transferred to the target stations in proportion to their area. The distance of the existing stations between each other produced a very high correlation coefficient, both in the direct transfer process and after the correction was applied. Similarly, in terms of drought index calculations, values close to 97% were seen in the original and transferred flow rates. Consequently, from the perspective of the effective management processes of water resources, the transportation of the data from basin-based observation stations corrected according to the drainage areas can be thought to positively affect the design stages and cost calculations for future water structures.
WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
2023-02-01T00:00:00ZAnalyzing Customers' Demands for Different Housing Features in Buildings Using a Data Mining MethodKeles, Abdullah EmreArikan, Yusuf Canhttp://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/41992023-04-19T10:14:20Z2023-02-01T00:00:00ZAnalyzing Customers' Demands for Different Housing Features in Buildings Using a Data Mining Method
Keles, Abdullah Emre; Arikan, Yusuf Can
There are many options and factors in the production phase of housing. In the marketing phase, houses are presented to the customer's taste. Therefore, it is clear that a customer-oriented approach is necessary to establish a supply-demand balance in housing production on the basis of quality. This study aimed to determine customers' housing demands in the construction sector. Within the scope of the study, 303 surveys were conducted in 30 different provinces of Turkey. The data obtained were analyzed by WEKA software with association rule extraction as the data mining method. The distribution of other attributes was determined according to two different class labels, namely the ownership status of the houses (tenant or homeowner) and customers' expectations of the houses. As a result of the study, it is clear that people living in Turkey prefer a south-facing facade when purchasing a house. In addition, it is seen that the property owners demand 4 + 1 independent units. It is remarkable that individuals who are tenants want the living room to be spacious. The results of the study also revealed that female individuals have higher expectations of housing than male individuals. At the same time, it is understood that people's expectations of housing differ according to the variables of age, education level, and the number of family members. The majority of the results in this study had a confidence value of 90% and above. This study was intended to serve as a guide for housing developers in Turkey to better understand and meet the demands of buildings' residents.
WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
2023-02-01T00:00:00ZA comparative study of probability distribution models for flood discharge estimation: Case of Kravga Bridge, TurkeyTurhan, EvrenDegerli, Serinhttp://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/41882023-04-17T08:40:02Z2022-11-01T00:00:00ZA comparative study of probability distribution models for flood discharge estimation: Case of Kravga Bridge, Turkey
Turhan, Evren; Degerli, Serin
Due to climate change, floods have been more frequent in recent years. Estimating the flood discharge as a result of flood frequency analysis is very substantial to make necessary preparations for possible floods. Data covering 36 years were collected from different stream gauging stations (SGS No: D17A016 and EIEI 1731) in Eastern Mediterranean Basin. With these data, flood discharge values were computed for return periods of 2, 5, 10, 25, 50, 100, 200, 500 and 1000 years. Normal, Log-Normal, Gumbel, Pearson Type III and Log-Pearson Type III statistical distribution methods were used. Kolmogorov-Smirnov (K-S) and Chi-square goodness-of-fit tests were performed to determine which distribution fitted the flood discharge the best. The study showed that the highest flood discharge among the probability distributions for both SGSs came from the Log-Normal distribution, and the lowest discharge was calculated with the Normal distribution. The K-S tests showed that all probability distributions conformed to the 20% significance level. For SGS D17A016, the flood values calculated with Log-Normal distribution were compatible with a 90% confidence interval according to the Chi-square test. Flood values obtained with the other distributions were found within the 10% significance level. In the Chi-square test for SGS EIEI-1731, all probability distributions fell within a 10% significance.
WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
2022-11-01T00:00:00Z