Yazar "Bilici, E." seçeneğine göre listele

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    Assessment of post-fire sal vage logging operations in mediterranean Region of Turkey
    (Hrvatsko Sumarsko Drustvo, 2017) Bilici, E.; Eker, M.; Hasdemir, M.; Akay, Abdullah Emin
    Various problems such as massive volume loss, erosion, degradation of water resources, and air pollution emerge after forest fire incidents. Thus, necessary forest operations should be quickly planned and implemented after forest fires so that afforestation activities can take place immediately to maintain forest vegetation in burned areas.The aim of this study was developing a Post-fire Action Planning (PFAP) model to minimize the time spent on salvage logging activities. PFAP model will assist decision makers for removing salvage timber in a timely manner after large scale forest fires, while considering economic and environmental constraints, and dealing with available employment conditions in local forest industry. The capabilities of this model were examined by standardizing the operational planning and developing a fast decision-making process. The model was implemented in Taşa?il Forest Enterprise Chiefs (FEC) of Antalya Forest Regional Directorate where the forests are sensitivity to fire at the first degree level and the second largest forest fire in the history of Turkish Forestry occurred in this area in 2008. The findings of PFAP model were compared with the data of actual salvage logging operation obtained from the FEC. The results indicated that using operational planning based PFAP model is capable of reducing total time spent on salvage logging operation by about 60%. Based on the forestry compartments of the study area, estimated durations of salvage logging operations were 15 to 75 days less than that of actual operations taken place in the field. Therefore, it is highly anticipated that using operational planning based PFAP model has great potential to provide economically and environmentally sound forest operations after forest fires.
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    Productivity analysis of front-end loader in timber harvesting
    (Forest Engineering and Technologies Platform, 2020) Akay, Abdullah Emin; Bilici, E.; Tas, I.; Eren, Findik, H.
    In this study, the productivity of front-end loader (Liebherr L 514 Stereo), which is one of the most used mechanized harvesting equipment in the production of forest products, was analyzed using time-study method. Factors influencing loader productivity were also evaluated by statistical analysis. Time measurements were carried out during forest harvesting operations in Topçam Forest Enterprise Chief in the city of Giresun. The results indicated that the most time-consuming stage of the loading operation was moving loaded to the logging truck, followed by moving unloaded to the side of the logs. According to the results, the average productivity of the loader was 34.27 m3/hr. Correlation test results showed that there was a positive correlation between productivity and log diameter and log volume, while there was no significant relationship between productivity and log length. The regression model developed with respect to the loader's productivity and specified log parameters (i.e. log diameter and log volume) was found to be significant and adequately explained the productivity of the loader. It was found that there was a significant relation between loader productivity and diameter classes and volume classes. It was also found that loader productivity increased as log diameter and log volume increases. © Copyright 2020 by Forest Engineering and Technologies Platform on-line at www.http://dergipark.gov.tr/ejfe
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    Towards green smart cities: Importance of Urban forestry and urban vegetation
    (International Society for Photogrammetry and Remote Sensing, 2020) Uçar, Z.; Akay, Abdullah Emin; Bilici, E.
    More than half of the total world's population lives in urban areas, and it is expected that 66% of all them will live in urban areas by 2050. The population growth and continuing urbanization in the world cause many social, economic, technical, and organizational problems related to transportation, businesses, communication networks, services, and utilities that can risk the cities' economic and environmental sustainability. Recently, a smart city concept has been developed to provide a solution to improve citizens' quality of life in urban areas with the adoption of smart and digital technologies and infrastructure for energy, water, mobility, buildings, and government. The smart city concept considers "zero vision" that refers to the use of smart city technologies, Information and Communication Technologies (ICTs) and Internet of Things (IoT) tools, to minimize negative impacts (i.e., zero traffic accident, zero CO2 emission, zero waste, zero crime) in the cities. However, the research in this zero-vision approach mainly focused on transportation and energy. Urban forestry and urban vegetated areas in the cities inherently provide benefits such as reducing air pollution, urban heat island effects, and flood risk and increasing the water quality, aesthetic value, and value of the property that improve citizens' quality of life. The smart city concept switched towards to sustainable smart city concept that takes into account the services provided by urban forestry and urban vegetation. In this study, the shifts in the smart city concept towards the sustainable smart city, the role of the urban forestry and urban vegetation in this shift was presented. Also, ICTs and IoT tools specifically designed for monitoring, assessing, and managing urban forestry and urban vegetation was reviewed. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.
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    USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL
    (Copernicus Gesellschaft Mbh, 2017) Inan, M.; Bilici, E.; Akay, Abdullah Emin
    Forest fire incidences are one of the most detrimental disasters that may cause long terms effects on forest ecosystems in many parts of the world. In order to minimize environmental damages of fires on forest ecosystems, the forested areas with high fire risk should be determined so that necessary precaution measurements can be implemented in those areas. Assessment of forest fire fuel load can be used to estimate forest fire risk. In order to estimate fuel load capacity, forestry parameters such as number of trees, tree height, tree diameter, crown diameter, and tree volume should be accurately measured. In recent years, with the advancements in remote sensing technology, it is possible to use airborne LIDAR for data estimation of forestry parameters. In this study, the capabilities of using LIDAR based point cloud data for assessment of the forest fuel load potential was investigated. The research area was chosen in the Istanbul Bentler series of Bahcekoy Forest Enterprise Directorate that composed of mixed deciduous forest structure.