Yazar "Gulci, Sercan" seçeneğine göre listele

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    ASSESSING THE EXPOSURE OF CHIPPER OPERATORS TO WOOD DUST IN A ROADSIDE LANDING AREA
    (Parlar Scientific Publications (P S P), 2018) Gulci, Sercan; Akay, Abdullah Emin; Spinelli, Raffaele; Magagnotti, Natascia
    Due to recent high emission values and increasing public demands for renewable energy, many countries have promoted biomass use instead of fossil originated fuel consumption. Wood chipping operation is one of the most popular biomass processing techniques. In recent years, there has been an interest in using mechanization in forestry, especially in wood chipping in Turkey. There are very limited number of studies on the productivity of wood chipping operations in Turkey, and the potential effects of operation and work environment on chipper operators have not been studied properly. In particular, wood dust exposure may result in serious occupational illness such as lung cancer, asthma, skin and eye irritations. This study investigated exposure of a wood chipper operator to wood dust during a chipping operation at the roadside landing. To measure dust exposure, a low-cost dust sensor mounted on the operator helmet was used, and real-time recorded measurements were examined statistically. The study showed that during the chipping operation in the open area, the operator was exposed to a dust density of 6.04 mg/m(3) over the 8 hours time average, which was above the legal limits of 5mg/m(3). Inhalable dust particle density averaged 0.055 mg/m(3) for each truck load produced. Although these figures were within the range reported by previous wood dust exposure studies conducted on chipper operators, exposure was still above the legal limit and may cause serious health problems. Thus, chipper operators should be instructed to use personnel protection equipment in order to prevent occupational disease.
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    Assessment of ecological passages along road networks within the Mediterranean forest using GIS-based multi criteria evaluation approach
    (Springer, 2015) Gulci, Sercan; Akay, Abdullah Emin
    Major roads cause barrier effect and fragmentation on wildlife habitats that are suitable places for feeding, mating, socializing, and hiding. Due to wildlife collisions (Wc), human-wildlife conflicts result in lost lives and loss of biodiversity. Geographical information system (GIS)-based multi criteria evaluation (MCE) methods have been successfully used in short-term planning of road networks considering wild animals. Recently, wildlife passages have been effectively utilized as road engineering structures provide quick and certain solutions for traffic safety and wildlife conservation problems. GIS-based MCE methods provide decision makers with optimum location for ecological passages based on habitat suitability models (HSMs) that classify the areas based on ecological requirements of target species. In this study, ecological passages along Motorway 52 within forested areas in Mediterranean city of Osmaniye in Turkey were evaluated. Firstly, HSM coupled with nine eco-geographic decision variables were developed based on ecological requirements of roe deer (Capreolus capreolus) that were chosen as target species. Then specified decision variables were evaluated using GIS-based weighted linear combination (WLC) method to estimate movement corridors and mitigation points along the motorway. In the solution process, two linkage nodes were evaluated for eco-passages which were determined based on the leastcost movement corridor intersecting with the motorway. One of the passages was identified as a natural wildlife overpass while the other was suggested as underpass construction. The results indicated that computer-based models provide accurate and quick solutions for positioning ecological passages to reduce environmental effects of road networks on wild animals.
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    ASSESSMENT OF THE ROAD IMPACTS ON CONIFEROUS SPECIES WITHIN THE ROAD-EFFECT ZONE USING NDVI ANALYSIS APPROACH
    (Parlar Scientific Publications (P S P), 2017) Gulci, Sercan; Akay, Abdullah Emin; Oguz, Hakan; Gulci, Nese
    Remote sensing (RS) techniques and Geographical information system (GIS) applications, which provide more economical and time saving methods than ground-based measurements, have been widely used for earth observation and environmental assessments. Thus, consider Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images, the present and past conditions of the coniferous species and land change that are within 100 meters away from the road alignment were evaluated to explain the changes in the road effect zone. Normalized Difference Vegetation Index (NDVI) obtained from Landsat images of the years between 2000 and 2015 were performed by using thresholds to estimate temporal and spatial changes of the coniferous species. The value of thresholds (0.45
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    Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume
    (Springer Heidelberg, 2018) Akgul, Mustafa; Yurtseven, Huseyin; Gulci, Sercan; Akay, Abdullah Emin
    Road planning and construction is a complex and time consuming process. One of the most important components in this process is estimating earthwork. Resolution of DEM, which is commonly used in road planning stage, directly affects success of earthworks estimation and construction costs. Within the scope of this study, capabilities of two different data collection systems (UAV and GNSS) were compared for DEM generation. In the study, two sets of DEMs of Bursa Technical University Kestel campus area were produced using both UAV- and GNSS-based methods. Then, cut and fill volumes were compared with considering UAV-based DEM and GNSS-based DEM depending on reference plane for three different roads. According to NRTK-GNSS-based surveying results, point density was obtained as 35 point/ha, while UAV-based surveying point density was computed as point/ha. Using UAV-based DEM as a reference plane, it was found that the volumes of excavations and embankments were very close to each other when the average excavation per unit (i.e., 1 m) road length was calculated.
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    Usage opportunities of generating digital elevation model with unmanned aerial vehicles on forestry
    (Istanbul Univ, 2016) Akgul, Mustafa; Yurtseven, Huseyin; Demir, Murat; Akay, Abdullah Emin; Gulci, Sercan; Ozturk, Tolga
    Unmanned Aerial Vehicles (UAVs) are sustained in flight by aerodynamic lift and guided without an onboard crew, they may be expandeble or recoverable and can fly autonomously or semiautonomously. Within the scope of study, new generation series autonomous UAV brand which is Trimble UX5 is used for generating high accuracy digital model model and obtaining high accuracy image in Istanbul University research and application forest. These obtained images are evaluated with photogrammetry software Trimble Business Center (TBC) v3. 1. In this study it was determined that we can obtan high accuracy data image resolution from 2.4 cm to 24 cm depending on the flight altitude with UAV. It was concluded that UAV systems can contribute in forestry work yo obtain sensitive data because of there is no other high accuracy data such as LIDAR. And lack of trained personnel in UAV flights is disadvantages. In this study, UAV and it's systems were evaluated and tested in all steps. It was expected that geographic information data which requiered forestry applications, can be easly be obtain with UAV. When digital surface model (DSM) data was assessed comprehensively, it was concluded that the data which obtained from UAV systems are more cheaper, productive and from LIDAR and IFSAR data. At the same time UAV data are relatively sensitive such LIDAR and IFSAR.
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    Using thermal infrared imagery produced by unmanned air vehicles to evaluate locations of ecological road structures
    (Istanbul Univ, 2016) Gulci, Sercan; Akay, Abdullah Emin
    The aerial photos and satellite images are widely used and cost efficient data for monitoring and analysis of large areas in forestry activities. Nowadays, accurate and high resolution remote sensing data can be generated for large areas by using Unmanned Aerial Vehicles (UAV) integrated with sensors working in various spectral bands. Besides, the UAV systems (UAVs) have been used in interdisciplinary studies to produce data of large scale forested areas for desired time periods (i.e. in different seasons or different times of a day). In recent years, it has become more important to conduct studies on determination of wildlife corridors for controlling and planning of habitat fragmentation of wild animals that need vast living areas. The wildlife corridors are a very important base for the determination of a road network planning and placement of ecological road structures (passages), as well as for the assessment of special and sensitive areas such as riparian zones within the forest. It is possible to evaluate wildlife corridors for large areas within a shorter time by using data produced by ground measurements, and remote sensing and viewer systems (i.e. photo-trap, radar and etc.), as well as by using remote sensing data generated by UAVs. Ecological behaviors and activities (i.e. sheltering, feeding, mating, etc.) of wild animals vary spatially and temporally. Some species are active in their habitats at day time, while some species are active during the night time. One of the most effective methods for evaluation of night time animals is utilizing heat sensitive thermal cameras that can be used to collect thermal infrared images with the night vision feature. When the weather conditions are suitable for a flight, UAVs assist for determining location of corridors effectively and accurately for moving wild animals at any time of the day. Then, the most suitable locations for ecological road structures can be determined based on wildlife corridor data. In this study, the possibilities of using remote sensing data within thermal band produced by UAVs were investigated for positioning of ecological road structures.