Sürdürülebilir Kalkınma Amaçları

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• MakaleAçık Erişim2021Scopus SJRQ2/r/bayburt/12042
  Relationship between hydraulic and geoelectrical parameters for alluvial aquifers in Bursa, Turkey—a case study

  Eryılmaz Türkkan, Gökçen; Korkmaz, Serdar

  This research aims at analyzing the relationship between the hydraulic conductivity and the formation factor in alluvial aquifers. The study was conducted on the alluvial aquifers within the province of Bursa, Turkey. Field surveys were carried out on 12 different locations each having alluvial formation. Initially, slug tests were applied at the wells and hydraulic conductivity values were calculated by using Bouwer-Rice and Dagan analytic methods. Afterwards, vertical electrical sounding method with Schlumberger array was applied on these locations to obtain apparent resistivity. These values were then converted to real resistivity under IPI2WIN software. Water samples were taken from the wells, and their electrical conductivity values were measured in the laboratory which were converted to water resistivity. Finally, formation factor was calculated as a ratio of real resistivity to water resistivity. The variations of hydraulic conductivity and transmissivity values against the formation factor were examined, and a linear relation was observed. Furthermore, their variations against modified formation factor and modified aquifer resistivity were also investigated and similarly linear relationships were observed. The graphs obtained conform to the results of similar studies in literature and will serve as a guideline for prospective groundwater research in the study area.

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  AtıfScopus3·OpenAlex2

  İncele
• MakaleAçık Erişim2019Scopus SJRQ2/r/bayburt/13928
  Resource- and content-aware, scalable stitching framework for remote sensing images

  Eken, Süleyman; Mert, Ümit; Koşunalp, Selahattin; Sayar, Ahmet

  This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic images is time- and resource-consuming process. The work presented in this paper proposes a resource- and content-aware, scalable stitching technique. The main idea is based on measuring and assessing the available hardware resources of the machine, on which stitching process runs, and scaling the resolution of the images accordingly. Moreover, preprocessing is not needed, and the adjustment is performed dynamically at run time. The effectiveness of the proposed technique was assessed by partially registering overlapping satellite mosaic images of the island of Cyprus and Lake Van. The scalability tests are performed on varying numbers and sizes of the overlapping LandSat-8 satellite images.

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  AtıfScopus8·WoS6·OpenAlex8

  İncele
• MakaleAçık Erişim2019Scopus SJRQ2/r/bayburt/13536
  Innovative trend analysis of total annual rainfall and temperature variability case study: Yesilirmak region, Turkey

  Serencam, Uğur

  It is well known that any kind of ordinary hydrometeorological parameter trend may have increasing or decreasing tendency systematically. Various methodologies are developed for possible trend identification such as the well-known Mann-Kendall test and recently Şen innovative trend analysis (ITA) approaches. The former has a set of assumptions, whereas the latter is almost without any restrictive assumption. The main purpose of this paper is to present precipitation and temperature trend behaviors by applying ITA in Yesilirmak drainage basin. Selected observation stations are mainly located at the Black Sea confluence region of Yesilirmak while few others at the middle and upper drainage basins. ITA provided visual inspection with quantitative trend slopes distinctively for low, medium, and high sub-levels with physical interpretations. Based on categorization, precipitation records have significant decreasing trends in low, medium, and high levels as an average − 3.4%, − 3.8%, and − 2.4%, respectively. In contrary to precipitation trend, and consistent to global expectation in climate change, temperature records have significantly strong increasing tendency along the basin. In sub-level of temperature, this strong trend tendencies are detected + 4.6%, + 4.8%, and + 7.2% from low to high ranges, respectively.

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  AtıfScopus40·WoS36·OpenAlex45

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