Yazar "Degermenci, Ahmet Salih" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Analysis of activity, space and user relations in urban squares(Sage Publications Ltd, 2020) Acar, Habibe; Yavuz, Aysel; Eroglu, Engin; Acar, Cengiz; Sancar, Cenap; Degermenci, Ahmet SalihWith the increasing density of built spaces in urban areas, the need for open spaces increases every day. Squares are one of the most important of these open spaces. Urban squares allow various activities and exhibit functional differences based on location and culture. The diversity of activities conducted in squares is extremely important for the quality and viability of liveable urban spaces. Urban residents prefer spaces that are suitable for individual requirements and desires and allow for a variety of activities. These spaces also contribute to social life. This article aimed to determine the user profile, occupancy, facilities and activity diversity at the Ataturk Plaza (Trabzon urban square) in Trabzon, the capital city of Trabzon Province, Turkey. The occupants of the square and their numbers were analysed via the behaviour observation method. As a result of the observations conducted in the square over one year, 17 activities were identified. The majority of these activities were necessary activities and that the most common activity was walking. The occupancy density and distribution in the square were analysed using the Geographical Information System (GIS). These research findings and analyses could serve as a guide for future urban square and urban open space designs.Öğe Determining plant species diversity of Scots pine stands in the Bolu Aladag region of Turkiye(Univ Austral Chile, Fac Ciencias Forestales, 2023) Gurkan, Mustafa; Zengin, Hayati; Ozcan, Mehmet; Degermenci, Ahmet Salih; Aksoy, NecmiThis study aims to determine how plant diversity changes at the alpha and gamma levels depending on stand type. Also, it tries to understand how plant diversity changes temporally and with relation to aspects during a given vegetation period. Sample areas were selected from pure Scots Pine stands with full canopy cover (70 - 100 %) and in different development stages (a, b, c, d) spread out within the Bolu Aladag region of Turkiye. Field studies were carried out in 2016 from June-September. Sample stands were selected to cover two main aspects, north and south. The study was carried out by analyzing two repetitive and 10 quadrate samples in each stand. A total of 640 quadrate samples were analyzed, and the different plants were counted. In the study area, a total of 160 taxa were identified at the DUOF Herbarium. It was determined that while the stand type did not have a significant effect on taxon diversity, the effect of aspect and observation period was statistically significant (P < 0.05). Shannon index value was between 3.13 and 3.72 among the stands' different development stages, with the highest values found in the young stands. Diversity was higher on Northern aspects than Southern and rose and fell throughout the observation period with the highest values in June and August. Interestingly, while there was no significant effect of stand development stages on taxon diversity, a significant but low correlation has been found between stand diameter and evenness.Öğe Multiple linear regression models for the estimation of water flows for forest management and planning in Turkiye(Water Research Commission, 2023) Zengin, Hayati; Ozcan, Mehmet; Degermenci, Ahmet Salih; Citgez, TarikWhile there are many factors, including climatology, geography, topography, vegetation and soil, that affect hydrologic processes, understanding the role of forests seems most essential, due to their manageable nature. In this study, a holistic approach was taken, and possible factors affecting streamflow, including tree, sapling, shrub, herb and soil strata, were measured for 29 small catchments/stream basins located in Turkey. Linear regression models were developed in order to estimate water flow (m3 & BULL;ha-1). Several models were suggested for use in practice. These models were based on the data on hand and displayed a sufficient level of explained variance in the dependent variable. Model 5, based on the variables of catchment area (ha), drainage density, ratio of coniferous stand areas in the catchment (%), tree volume (m3 & BULL;ha-1), leaf area index, number of short saplings (number & BULL;ha-1), and topsoil sand rate (%), was recommended for flow estimation, achieving a 0.73 adjR2 value for test data. These variables can be obtained as part of a survey and water managers can use them to estimate water flow of the catchment. The generated models can be used in multiple-use planning of forests, e.g. in adjusting the volume of stands to get optimum benefit from wood and water production. One of the most interesting results and one that was opposite to that documented in the general literature, was the positive correlation between tree volume and flow per hectare, which suggests a strategy of growing older tree stands to enable greater water production.Öğe Spatio-temporal change analysis and prediction of land use and land cover changes using CA-ANN model(Springer, 2023) Degermenci, Ahmet SalihThe spatial and temporal representation of land use and land cover (LULC) changes helps to understand the interactions between natural habitats and other areas and to plan for sustainability. Research on the models used to determine the spatio-temporal change of LULC and simulation of possible future scenarios provides a perspective for future planning and development strategies. Landsat 5 TM for 1990, Landsat 7 ETM + for 2006, and Landsat 8 OLI for 2022 satellite imageries were used to estimate spatial and temporal variations of transition potentials and future LULC simulation. Independent variables (DEM, slope, and distances to roads and buildings) and the cellular automata-artificial neural network (CA-ANN) model integrated in the MOLUSCE plugin of QGIS were used. The CA-ANN model was used to predict the LULC maps for 2038 and 2054, and the results suggest that artificial surfaces will continue to increase. The Duzce City center's artificial surfaces grew by 100% between 1990 and 2022, from 16.04 to 33.10 km2, and are projected to be 41.13 km2 and 50.32 km2 in 2038 and 2054, respectively. Artificial surfaces, which covered 20% of the study area in 1990, are estimated to cover 64.07% in 2054. If this trend continues, most of the 1st-class agricultural lands may be lost. The study's results can assist local governments in their land management strategies and aid them in planning for the future. The results suggest that policies are necessary to control the expansion of artificial surfaces, ensuring a balanced distribution of land use.
