WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/2

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Citation - WoS: 5
Citation - Scopus: 4
12th June 2017 Offshore Karaburun-Lesvos Island Earthquake Coseismic Deformation Analysis Using Continuous Gps and Seismological Data
(SCIENTIFIC TECHNICAL RESEARCH COUNCIL TURKEY-TUBITAK, 2021) Yıldız, Hasan; Çırmık, Ayça; Pamukçu, Oya; Özdağ, Özkan Cevdet; Gönenç, Tolga; Kahveci, Muzaffer
Understanding the tectonic mechanism generated by the earthquakes and faults is possible only if the preseismic, coseismic and postseismic crustal deformation related to the earthquakes is determined properly. By the analysis of continuous GPS (CGPS) coordinate time series, it is possible to estimate the crustal deformation. Besides, accelerometer records at strong motion stations (SMSs) may support the CGPS-based estimates. In this study, CGPS coordinate time series were analyzed in comparison with the accelerometer records for clarifying the coseismic deformation caused by the earthquake occurred in the surrounding of Lesvos fault located in the northern part of Karaburun within the active mechanism that controls the area where the earthquakes occurred during June 2017 on the offshore Karaburun. The activity of this fault continued throughout June 2017 until the time when the main shock (12th June 2017, M-W = 6.2) occurred. We analyzed CGPS coordinate time series of AYVL and CESM and DEUG stations to determine the coseismic deformation due to the offshore Karaburun-Lesvos Island earthquake using the empirical mode decomposition (EMD) method. Besides, the EMD method results were compared with the accelerometer records obtained from the SMSs close to the CGPS stations and CGPS-based results were found to be consistent with the accelerometer records. Additionally, the horizontal displacements were calculated by Coulomb 3.3 software using different focal plane solutions and compared with CGPS-based results. Consequently, it is suggested an integrated use of CGPS and strong motion accelerometer networks for the joint assessment of the crustal deformation and for the cost-effective use of existing observation networks as well as for the establishment of future observation networks at lower cost.
Citation - WoS: 11
Citation - Scopus: 15
Accuracy Assessment of Dems Derived From Multiple Sar Data Using the Insar Technique
(SPRINGER HEIDELBERG, 2021) Karabörk, Hakan; Makineci, Hasan Bilgehan; Orhan, Osman; Karakuş, Pınar
In this study, digital elevation models (DEMs) derived from AlosPalsar data (Japanese Space Agency-JAXA), Sentinel-1A data, and Envisat ASAR data (European Space Agency-ESA) were compared by using a global navigation satellite system (GNSS). In addition, AW3D30, SRTM, and ASTER GDEM (open-access DEMs) data were also included in the accuracy evaluation. The DEM accuracies were investigated in three different terrain types, namely a plain area, mountainous area and agricultural area, and compared at elevation values on a pixel-based. The accuracy obtained from the ALOS PALSAR satellite data was found to be more reliable for all three terrain types. The standard deviation and root mean square values were calculated and compared to each other. The results of the accuracy assessments showed that the best result for the plain area was obtained with the Sentinel-1A and SRTM data, for the mountainous area was obtained with the SRTM data and for agricultural area was obtained with the ALOS PALSAR and SRTM data.
Citation - WoS: 27
Citation - Scopus: 28
Analysis of the Effect of Land Consolidation Projects in Terms of Land Fragmentation and Parcel Shapes: the Case of Konya, Turkey
(SPRINGER HEIDELBERG, 2020) Ertunç, Ela
Agricultural land fragmentation and irregularity of parcel shapes are a structural land management problem that prevents the development of modern agriculture. Januszewski (JI) and Simmons (SI) indices are widely used to determine agricultural land parcel fragmentation. Shape index (SHI) and fractal dimension (FD) are also commonly used to evaluate parcel shapes. In this study, it is aimed to evaluate the land consolidation project in terms of fragmentation and change of parcel shapes. The purpose of land consolidation projects is to ensure the optimum use of the land and to obtain maximum benefit. The success level of land consolidation projects should be evaluated. Therefore, changes of land parcel fragmentation and parcel shape changes before and after the LC were analyzed using candir District project data. In addition, the effects of LC project on parcel shape and size, the effect on parcel boundaries, and the effect of change of the distance between parcels on fuel saving and changes due to irrigation were investigated. As a result, according to Januszewski and Simmons indices, the ratio of farm enterprise whose index values were less than 0.40 was 1.17% and 3.7% before the LC, respectively, and decreased to 0.6% and 2.3% after the LC. The obtained values showed that the land parcel fragmentation decreased in candir District. In addition, the ratio of farm enterprises whose SHI were greater than 1.60, which implies non-uniform geometric parcel shapes, was 6.5% before the LC, but this ratio decreased to 5.8% after the LC. While the ratio of farm enterprises having parcels, which were non-uniform according to FD values, was 1.6% before the LC, this rate decreased to 0.9% after the LC. These results show that JI and SI indexes can be used in land consolidation projects. In addition, SHI and FD indices are generally parameters that can measure how close the parcel shapes are to the smooth geometric shapes, but they do not give successful results in each parcel. Finally, according to the results of the survey conducted with the farmers, the LC provided a significant economic gain to farm enterprise owners in this region.
Citation - WoS: 8
Citation - Scopus: 7
Ann Estimation Model for Photogrammetry-Based Uav Flight Planning Optimisation
(TAYLOR & FRANCIS LTD, 2022) Makineci, Hasan Bilgehan; Karabörk, H.; Durdu, A.
Artificial intelligence (AI) is undergoing a ground-breaking period. Recently, AI affects almost every part of human life. Using AI in path planning for Unmanned Aerial Vehicle (UAV) attracts attention as a novel need. The inputs that form the base of UAV use in photogrammetry are UAV Type (UT), Ground Sampling Distance (GSD), Overlap Rates (OR), and Atmospheric Conditions (AC). Input parameters directly impact the UAV's Flight Time (FT) and Battery Status (BS). Weighting and optimizing these parameters are the main ideas of this study. The effects of input values (GSD, OR, UT, AC) on the outputs (BS and FT) were optimized using Artificial Neural Networks (ANN) in this study. For the analysis, results have been produced in which different training algorithms are preferred (Gradient Descent - GD - and Levenberg-Marquardt - LM). The GD algorithm has reached 77.65% accuracy in FT estimation and 80.91% estimation accuracy on normalized data on the BS. Then, the correlation between the produced model and the input parameters and the output parameters was determined, and the weights of the inputs were revealed. As a result, it was determined that the AC parameter has the most significant effect on BS and FT. Also, it has been identified that the normalization process has a considerable impact on optimization.
Citation - WoS: 3
Citation - Scopus: 4
Approaches To Automated Land Subdivision Using Binary Search Algorithm in Zoning Applications
(Ice Publishing, 2022) Koç, İsmail; Çay, Tayfun; Babaoğlu, İsmail
The planned development of urban areas depends on zoning applications. Although zoning practices are performed using different techniques, the parcelling operations that shape the future view of the city are the same. Preparing the parcelling plans is an important step that has a direct impact on ownership structure and reallocation. Parcelling operations are traditionally handled manually by a technician. This is a serious problem in terms of time and cost. In this study, by taking the zoning legislation, the production of a pre-land subdivision plan has been automatically performed for a region of Konya, which is one of the major cities in Turkey. The parcelling processes have been performed in three different ways: the first parcelling technique is parcelling with edge values, the second is parcelling with area values and the third is parcelling using both edge and area values together. For the entire parcelling process, the area of the parcel has been calculated using the Gauss method. Moreover, to effectively determine the boundaries and to calculate the parcel area in the parcelling process, the binary search technique has been used in all the methods. The experimental results show that the parcelling operations were carried out very quickly and successfully.
Citation - WoS: 13
Citation - Scopus: 14
Assessing the Performance of Bds-3 for Multi-Gnss Static and Kinematic Ppp-Ar
(Elsevier Ltd, 2022) Öğütçu, S.; Alcay, S.; Özdemir, Behlül Numan; Li, P.; Zhang, Y.; Konukseven, C.; Atiz, O.F.
As of 2021, a total of four different GNSS constellations – namely, GPS, GLONASS, Galileo, and BDS-3 – can be used with Full Operational Capability (FOC). In this work, the contribution of BDS-3 FOC to GPS + GLONASS + Galileo (GRE) PPP-AR is investigated, considering the three different cut-off angles (7°, 30°, and 45°) and different lengths of static observation sessions (24-, 12-, 6-, 3-, 1-, 0.5-, 0.25-hour). The data of 31 IGS-MGEX stations is processed with GRE PPP-AR and GREC3 (GPS + GLONASS (using float mode) + Galileo + BDS-3) PPP-AR modes. The results showed that BDS-3 degraded the horizontal (except for 24-h sessions) and vertical accuracy of static GRE PPP-AR solutions regardless of the elevation cutoff angle and observation time. The kinematic results showed that BDS-3 significantly contributed to the accuracy of GRE kinematic PPP-AR for 30° and 45° cutoff angles. The convergence time analysis showed that BDS-3 only contributes to GRE kinematic PPP-AR for the vertical component. © 2022 COSPAR
Citation - WoS: 24
Citation - Scopus: 34
Boundary Constrained Voxel Segmentation for 3d Point Clouds Using Local Geometric Differences
(PERGAMON-ELSEVIER SCIENCE LTD, 2020) Sağlam, Ali; Makineci, Hasan Bilgehan; Baykan, Nurdan Akhan; Baykan, Ömer Kaan
In 3D point cloud processing, the spatial continuity of points is convenient for segmenting point clouds obtained by 3D laser scanners, RGB-D cameras and LiDAR (light detection and ranging) systems in general. In real life, the surface features of both objects and structures give meaningful information enabling them to be identified and distinguished. Segmenting the points by using their local plane directions (normals), which are estimated by point neighborhoods, is a method that has been widely used in the literature. The angle difference between two nearby local normals allows for measurement of the continuity between the two planes. In real life, the surfaces of objects and structures are not simply planes. Surfaces can also be found in other forms, such as cylinders, smooth transitions and spheres. The proposed voxel-based method developed in this paper solves this problem by inspecting only the local curvatures with a new merging criteria and using a non-sequential region growing approach. The general prominent feature of the proposed method is that it mutually one-to-one pairs all of the adjoining boundary voxels between two adjacent segments to examine the curvatures of all of the pairwise connections. The proposed method uses only one parameter, except for the parameter of unit point group (voxel size), and it does not use a mid-level over-segmentation process, such as supervoxelization. The method checks the local surface curvatures using unit normals, which are close to the boundary between two growing adjacent segments. Another contribution of this paper is that some effective solutions are introduced for the noise units that do not have surface features. The method has been applied to one indoor and four outdoor datasets, and the visual and quantitative segmentation results have been presented. As quantitative measurements, the accuracy (based on the number of true segmented points over all points) and F1 score (based on the means of precision and recall values of the reference segments) are used. The results from testing over five datasets show that, according to both measurement techniques, the proposed method is the fastest and achieves the best mean scores among the methods tested. (C) 2020 Elsevier Ltd. All rights reserved.
Citation - WoS: 15
Citation - Scopus: 19
A Clustering-Based Approach To Land Valuation in Land Consolidation Projects
(Elsevier Ltd, 2021) Ertunç, Ela; Karkınlı, A.E.; Bozdağ, A.
Land valuation is a comprehensive assessment process that aims to assign the agricultural value of all parcels in the land consolidation area, based on soil quality and land productivity (using a relative non-dimensional score). Thus, the land value represents a critical parameter that directly influences the monetary interests of landowners. This process should be managed in a reliable, correct, and fair manner. Furthermore, the traditional land valuation process is time-consuming and costly, and its results may be inconsistent because those who determine the value cannot take into account and compare the land valuation parameters required for all parcels. The solution to these deficiencies requires a new valuation approach. After land consolidation in the project area, the value of the existing parcels must be determined according to certain criteria in order to give to the enterprise land with the equal value to its previous land. In this study, a new land valuation model was developed with the help of clustering algorithms (K-means, K-medoids, Fuzzy C-means) and Weighted Differential Evolution, a heuristic optimization algorithm, using the most basic nine different parameters affecting the land value. The clustering method used in this model performs the valuation by clustering the parcels with common characteristics according to the parameter values. The method in which the cumulative sum of the distances of parcels to the cluster centers is the shortest exhibits the best clustering performance. In this study, the best clustering performance was obtained with the WDE-based clustering algorithm. When compared with the other algorithm results by mapping the classical valuation results, it was determined that the clustering method results evaluated the parcels more precisely. The study contributes to the literature in terms of including in the developed method parameters other than those used in the existing methods and determining the land value more precisely, fairly, and reliably with the help of heuristic algorithms. © 2021 Elsevier Ltd
Citation - WoS: 9
Citation - Scopus: 15
Clustering-Based Plane Refitting of Non-Planar Patches for Voxel-Based 3d Point Cloud Segmentation Using K-Means Clustering
(INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC, 2020) Sağlam, Ali; Makineci, Hasan Bilgehan; Baykan, Ömer Kaan; Baykan, Nurdan Akhan
Point cloud processing is a struggled field because the points in the clouds are three-dimensional and irregular distributed signals. For this reason, the points in the point clouds are mostly sampled into regularly distributed voxels in the literature. Voxelization as a pretreatment significantly accelerates the process of segmenting surfaces. The geometric cues such as plane directions (normals) in the voxels are mostly used to segment the local surfaces. However, the sampling process may include a non-planar point group (patch), which is mostly on the edges and corners, in a voxel. These voxels can cause misleading the segmentation process. In this paper, we separate the non-planar patches into planar sub-patches using k-means clustering. The largest one among the planar sub-patches replaces the normal and barycenter properties of the voxel with those of itself. We have tested this process in a successful point cloud segmentation method and measure the effects of the proposed method on two point cloud segmentation datasets (Mosque and Train Station). The method increases the accuracy success of the Mosque dataset from 83.84% to 87.86% and that of the Train Station dataset from 85.36% to 87.07%.
Citation - WoS: 1
Cobb-Douglas Hybrid Modelling Approach With Fuzzy-Ahp Indexing for Residential Land Value Determining: a Case Study of Konya/Turkey
(Konya Technical Univ, Fac Architecture & Design, 2022) Yalpır, Şükran; Şişman, Süleyman; Akar, Ali Utku
In this study, for mass real estate appraisal forecasting, the hybrid mathematical model has been developed by combining Cobb-Douglas one of the nonlinear regression models, and linear modeling. The real estate attributes that create the model were grouped under four main-title: local, spatial, physical and legal features. While Cobb-Douglas was used for the value forecast based on the real estate attributes in each part of the model, an integrated model was created with a linear approach. As a different approach, local and spatial features, which are among the real estate attributes, were used as indexes for reasons such as preventing data confusion in the model and using according to the spatial analysis results of distances. Local and spatial index were prepared with the Fuzzy Analytic Hierarchy Process (FAHP) method to use within the model. For indexes, in the central districts of Konya, 10 local-specific attributes were used, while 12 spatial-specific attributes. The data set has been prepared using legal and physical attributes with market values collected from 457 parcels in the study area. Local and spatial attributes were added as indexes to the data set used in the hybrid model. In addition, modeling was done with the data set used in the Cobb-Douglas Hybrid Model (C-DHM) according to the Linear Multiple Regression Analysis (Linear MRA) method. The developed C-DHM's results was integrated with Geographical Information Systems (GIS). The performance values between the hybrid model and market values were examined. Results showed that R2 value for C-DHM and Linear MRA used as indexes was found to be 0,85 and 0,80. When the values obtained from C-DHM and market value are compared, it is seen that model gives successful results.
Citation - WoS: 8
Citation - Scopus: 8
Collaborative Land Use Planning in Urban Renewal
(BUCHAREST UNIV PRESS, 2021) Bozdağ, Aslı; İnam, Şaban
Conflicting expectations of stakeholders in urban renewal applications may lead to spatial and functionally unsustainable applications. Therefore, urban renewal applications require collaborative planning with their multi-stakeholder and multi-dimensional structure (political, social, and economic). This study aims to create a collaborative land-use planning (CLUP) approach that minimizes the factors arising from the expectations of the stakeholders and that has an adverse effect on the success of the project. The study consists of two stages. In the first stage, the literature is reviewed to create a framework for the CLUP approach. Within this framework, spatial and functional goals are identified for an urban renewal site within the borders of Meram Municipality in the Konya province of Turkey. In the second stage, a survey is conducted with the participation of stakeholders to identify their spatial and functional demands (vision, land-use and building design). Finally, the fitting between the spatial and functional demands of the stakeholders and the spatial and functional goals identified within the framework of the CLUP approach is discussed. As a result of the survey, it was determined that the expectations of the stakeholders regarding the vision, land-use and building design participate and governance processes are incompatible with each other. The expectations of the stakeholders were evaluated within the framework of the CLUP approach, and recommendations were made for a sustainable vision and a pluralistic decision-making, while raising awareness for participation.
Citation - WoS: 5
Citation - Scopus: 1
Comparison of Three Different Optimization-Based Land Reallocation Models in Land Consolidation: a Case Study in Aydin/Turkey
(PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2019) Ertunç, Ela; Çay, Tayfun
Land consolidation (LC) is the primary and most effective land management instrument to address land fragmentation problems, which has been applied in many countries around the world. Land consolidation is not just the reallocation of fragmented parcels, it is in an important instrument of rural development in many countries. Land consolidation projects consist of various steps. Land reallocation is crucial and challenging stages with many factors playing a role in it. Thus, the usage of computer technology has been essential for fast and efficient progress in projects. In this case study, three different land reallocation models, Fuzzy Logic (FL) based, Genetic Algorithm (GA) based, and designed Fuzzy Genetic Algorithm (FGA) based land reallocation models, are compared for Land consolidation projects in the reallocation of newly created regular-size parcels to landowners. As a result, the Genetic Algorithm based and Fuzzy Genetic Algorithm based models are more successful than the Fuzzy Logic based model in terms of the average parcel size, the number of parcels, and the average number of parcels per landowner. The benefits derived from both models are much higher compared to conventional models. The proposed models save time and improve the results for future land consolidation projects.
Citation - WoS: 18
Citation - Scopus: 18
Comparison of Traditional Method and Genetic Algorithm Optimization in the Land Reallocation Stage of Land Consolidation
(Elsevier Sci Ltd, 2022) İnceyol, Yaşar; Çay, Tayfun
The land reallocation phase as a process has a direct influence on the success of land consolidation (LC) studies. In Turkey, land reallocation is performed according to 'farmer preferences' as determined by interviews with landowners. This traditional method is called the 'interview-based method'. In land reallocation studies, parcel locations and property rights are re-arranged according to both farmer preferences and project productivity. A variety of solutions is inevitable in this re-arrangement, as the person responsible for the project and the series of criteria involved in the process differ between projects. How acceptable the solution is for landowners, and the expected benefit from an LC project, depends on the determination of an optimal solution. Genetic algorithms (GA) are widely considered to be an effective method for finding the optimum solution.& nbsp;In this study, land reallocation was performed automatically using GA and the results compared with the traditional land reallocation method. The main purpose of this study is to advance a land reallocation model which minimizes human interference while still meeting traditional land reallocation criteria. Both farmer preferences and block occupancy status were taken into consideration in this model by using GA. The polygonal areas (blocks) within which plots were defined were planned according to topography and the road and irrigation systems. The study was tested with real data, and it was observed that the success rate of block placement using GA was 93%, according to the farmer's preferences, and that full occupancy rate in the blocks was 73%. The results derived from both models were compared in terms of number of parcels, average parcel size, number of parcels per landholding, and number of shared parcels; these criteria are commonly accepted as prominent comparison criteria in the relevant literature. The comparison shows that more successful land reallocation results were derived from the GA model than from the interview-based model. A survey of landowners was also conducted to verify the success of the GA method. The results showed that an interactive land reallocation which includes an optimization process through which the landowners are able to change their preferences can be carried out effectively.
Citation - WoS: 9
Citation - Scopus: 11
Constructing a Precise Radio Map and Application of Indoor Positioning With Dual-Frequency Wi-Fi Fingerprinting Method
(ELSEVIER SCI LTD, 2020) Özdemir, Behlül Numan; Ceylan, Ayhan
Location-based services provide information about objects and people primarily including their location. While their location can be easily estimated outdoors using GNSS, satellite signals are unable to reach indoor spaces such as buildings. Thus, to provide the position information indoors, several technologies have been proposed. Wi-Fi, which is a wireless communication technology offers a wide range of applications for indoor positioning. One of them is the fingerprinting method that uses the diversity of RSS measurements from different wireless access points for each location in indoor space. Here, we constructed a precise radio map with a measuring tool and compared the 2.4 GHz and 5 GHz frequencies with the dual-band fingerprint dataset. Experimental results show that, even if they do not represent a different location, the incorporation of these two frequencies with different characteristics into a single fingerprint dataset improves the overall positioning accuracy. (C) 2020 Elsevier Ltd. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 3
Determining Highway Slope Ratio Using a Method Based on Slope Angle Calculation
(2021) Yılmaz, Osman Salih; Özkan, Gülgün; Kılıç, Batuhan
Geographic Information System (GIS) is a vital tool used in numerous areas related to natural science and engineering studies. Managing complex data and obtaining accurate results from the analysis are essential functions of GIS. It is also efficiently used in highway designing both in project and application phases. This study proposes a new calculation method of slope angles to determine the suitable slope modal of a road by using topographic and geological datasets in a GIS environment. Using this method in the preparation phase of the project enables a more accurate calculation of earthwork volume. The proposed method was applied to a highway to prove this idea. The selected road is a significant tertiary of which project was completed by the Turkish General Directorate of Highways. In this study, the calculated values of the project were considered as references. Comparing both results obtained from the proposed method and application project, the accuracy of the slope modal of the proposed method is 71%, and the accuracy of its earthwork volume is 99%. The proposed approach will enable project managers and designers to determine more reliable earthwork volume during project feasibility studies without any application in the field.
Citation - WoS: 6
Citation - Scopus: 7
A Deterministic Approach in Waste Management: Delineation of Potential Territories in Turkey for Industrial Symbiosis of Olive Pomace, Marble Wastes and Plastics by Integrating Fuzzy Ahp To Gis
(Springer, 2022) Akar, Ali Utku; Yalpır, Şükran; Sişman, Süleyman; Göktepeli, Gamze; Yel, Esra
This study aimed to create a mapping-depended methodology in delineating the suitable territories for Industrial Symbiosis (IS) initiatives. The Geographic Information System (GIS)-integrated Fuzzy AHP (FAHP) was applied to the data of olive pomace (OP), marble processing wastes (MPW) and plastic wastes (PP/PET) generated in the whole country (Turkey). In the proposed methodology, factor identifications and their pairwise comparisons need to be made by experts. Factor weighting was implemented by FAHP method for each waste type. The highest FAHP weights were calculated as 0.57 for OP facility capacity, 0.64 for marble facility capacity and 0.41 for plastics industrial estate factors (high consistency: CR < 0.1). Potential region maps were prepared by integrating these factor weights into GIS. The second-stage FAHP was applied for determining the wastes transportation factor weights to be used in the delineation of intersecting regions. At this stage, OP and MPW have the equal and higher factor weights (0.41) than plastic wastes (0.18). The number of provinces having higher potential for establishing IS facility increased from 10 to 22 province as compared to the case with equal transportation weights. Southern Marmara, Aegean, Mediterranean and Central Anatolia were found as the regions with the higher potential for IS initiatives. The common features of the provinces in these regions are high waste generation capacities and spatially closeness to the provinces having high waste generation capacities. The proposed flexible methodology can be adapted to all types of wastes, to all number of factors (criteria) and to all countries.
Citation - WoS: 13
Citation - Scopus: 16
Developing a Mobile Gis Application Related To the Collection of Land Data in Soil Mapping Studies
(2021) İşcan, Fatih; Güler, Erkan
Soil is the one of the most important natural resources having direct and indirect effects on human life, foremost on food supply. Moreover, two of the most important sources used in many sectors such as agriculture, forestry, environment, planning, related to the conservation of soil, are soil maps and soil reports. There is a need for proper and up-to-date soil maps produced with support of technology to achieve sustainable management of land and soil successfully. In order to facilitate the collection of soil data on site in a correct, fast and reliable way in soil survey and mapping studies, and therefore to produce soil maps with high accuracy, a mobile GIS application called “Soil Data System” was developed in this study to work in mobile devices which are driven by Android 5.0 and above. The developed application was tested in “Abadan Erosion Control Project” implementation area, which is located in the boundaries of Ankara, Turkey and was completed in 2016 within the General Directorate of Forestry of The Republic of Turkey, and various findings were obtained after comparing the application with classical soil survey and mapping studies. As a result of the analyzes, it was observed that Soil Data System contributed positively to soil mapping process in many aspects such as accuracy, transparency and time.
Citation - Scopus: 1
Development of the Technology for Processing Plant Breeding By-Products To Obtain Biosorbent
(E D P SCIENCES, 2020) Bauer, Tatiana; Sushkova, Svetlana; Fedorenko, Aleksei; Lobzenko, Ilya; Barakhov, Anatoly; Butova, Vera; Tuşat, Ekrem
This study focuses on the potential transforming sunflower husk wastes into innovative green products to be used for the recultivation of contaminated soils. This transformation makes it possible to utilize the large quantity plant breeding by-products to obtain a highly porous biosorbent. Optimal conditions for the preparation of bisorbents can be determined based on measurements of their specific surface and porosity. It is shown that structural characteristics of sorbent depend on conditions of the pyrolysis of primary raw material. Optimal conditions for obtaining biosorbent with a specified proportion of meso- and micropores and high specific surface are performed under three-stage pyrolysis as given by following conditions: sample holding time of 10-30 min, final temperature 700 degrees C, and heating rate 15 degrees C/min. A 3-month incubation study was conducted to investigate its performance in stabilization of copper contamination in Fluvisol. The sequential extraction procedure showed that the 1% sunflower husks biosorbent treatment reduced the mobile pool (exchange and carbon-bonded fractions) of Cu from 8 to 4%, respectively, compared to the contaminated soil. Cu is found to be tightly bonded owing to the increase of the residual and organic matter-bonded metal fractions. Owing to its adsorptive properties, biosorbent amendment of copper-contaminated soils appears as a promising approach to reduce the pollutant mobility and bioavailability.
Citation - WoS: 1
Development Process of Reconstruction Implementation Legislation in Turkey
(Geomatik Journal, 2022) Çay, Tayfun; Kandemir, Esra Sonel
In this study, legislation and amendments of first zoning law the of Republic of Turkey was published in 1985 to until present day was examined and the development process in the legislation was considered. There are many issues regarding zoning in the zoning legislation. And Many changes have been made over the years. In the study, while considering this development process, especially legal regulations and amendments for zoning implementations, development readjustment share rate and content and zoning amnesties brought to buildings against the zoning legislation were emphasized. The Zoning Laws in Turkey until today, are constructed according to the principle of equal proportion method. However, alternatively, as a necessity the method based on equivalence principle was recommended to be regulated and development readjustment share rate that should be determined according to the equivalence method was proposed.
Citation - WoS: 20
Citation - Scopus: 21
Differences in the Effectiveness of Land Consolidation Projects in Various Countries and Their Causes: Examples of Poland and Turkey
(ELSEVIER SCI LTD, 2021) Janus, Jaroslaw; Ertunç, Ela
Land fragmentation is a primary cause of low agricultural profitability in many regions of the world. Adverse fragmentation parameters can be improved with land consolidation projects. Such projects are undertaken in areas characterised by different initial parameters of land fragmentation, types of agriculture, sociocultural conditions, and legislation that provides the framework for their formal and procedural implementation. All these aspects should affect not only the effectiveness of the projects but also how they are evaluated depending on the local circumstances. The paper presents results of the assessment of identified differences in land consolidation project effectiveness in the context of legal and sociocultural conditions. The research involved eight land consolidation projects carried out in Poland and Turkey. The countries have similar structures of agriculture and are conducting ongoing, long-term land consolidation schemes. The results are indicative of the necessity to differentiate assessment criteria depending on the location of a project and its primary goal. The application of popular land fragmentation indices could, in particular, lead to incorrect assessment of whether a project was successful when it was not intended to result in a significant increase in parcel area and reduction of the number of parcels. The research shows that it is possible to compare the effectiveness of projects from different countries provided that the process takes into consideration differences in local conditions affecting the development of agriculture and legislation.

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