Turkish Journal of Geosciences最新文献

Comparison of Classical-RTK and Network-RTK surveying methods in Coastal Regions 沿海地区经典rtk与网络rtk测量方法的比较

Turkish Journal of Geosciences Pub Date : 2023-06-12 DOI: 10.48053/turkgeo.1277051

Şeri Oğuz

{"title":"Comparison of Classical-RTK and Network-RTK surveying methods in Coastal Regions","authors":"Şeri Oğuz","doi":"10.48053/turkgeo.1277051","DOIUrl":"https://doi.org/10.48053/turkgeo.1277051","url":null,"abstract":"Since the beginning of human life, human beings have wanted to know their location, and have therefore tried to find out where they are and where they are going throughout their lives. Researches and inventions that have shaped this situation have followed one another. Throughout history, the methods used to obtain location information have improved day by day, and the possibilities of obtaining precise location information faster with more ergonomic devices have emerged. Recently, the Network-RTK measurement method has attracted attention in this respect. \u0000In this study, a research on \"Comparison of Classical-RTK and Network-RTK surveying methods in Coastal Regions\" was conducted. For this purpose, 12 point locations were determined by creating two separate study areas in two different regions with an approximate surface area of 3.078 km2 and 1.346 km2 in the coastal region. When a base was created between TUSAGA-Active points, N4, N5, N6, IN1, IN2, IN3 points were located in the inner part of the network structure and N1, N2, N3, DN1, DN2, DN3 points were located in the outer part. Static, Classical-RTK and Network-RTK measurement methods were used at 12 points in the study areas in both regions. First of all, static measurements were made at 12 points and these measurement values were accepted as exact measurement values and the Classical-RTK measurement method was made according to these measurement values. The differences of the static measurement values and the measurement values obtained by Classical-RTK and Network-RTK measurement methods were taken respectively. These measurement differences were analyzed and compared in various aspects.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Petrographic and geochemical properties of ignimbrites around Hatunsaray (Konya) 孔亚哈通萨赖(Hatunsaray)附近褐煤的岩石学和地球化学特征

Turkish Journal of Geosciences Pub Date : 2023-04-10 DOI: 10.48053/turkgeo.1263303

Hacer Bilgilioglu, H. Baş

{"title":"Petrographic and geochemical properties of ignimbrites around Hatunsaray (Konya)","authors":"Hacer Bilgilioglu, H. Baş","doi":"10.48053/turkgeo.1263303","DOIUrl":"https://doi.org/10.48053/turkgeo.1263303","url":null,"abstract":"The study area is located around the town of Hatunsaray, approximately 40 km away from the south-west of Konya. In this study, the petrological and geochemical characteristics of the Bulumya ignimbrite, Detse ignimbrite and Sadıklar ignimbrite observed in the region were revealed. The study area is basically Upper Miocene - Lower Pliocene aged Güneydere formation and overlying Bulumya ignimbrite, Detse ignimbrite, Sadıklar ignimbrite and Quaternary alluviums. All these units were formed in the Upper Miocene - Lower Pliocene aged fluvial and lake environment and have a lateral vertical transition with carbonate, clastic units. The gray colored Bulumya ignimbrite contains andesite-dacite rock fragments and large pumice grains. The Detse Ignimbrite is yellow in color and shows a well sorted lapilli tuff composition. The Sadıklar Ignimbrite, on the other hand, contains agglomeratic levels with yellow colored slightly fused lenses and wedge geometry. All ignimbrite samples have porphyric texture and were classified as “crystal-vitric tuff” and “crystal lithic-vitric tuff” in the glass-crystal-rock fragment classification. In petrographic investigations of ignimbrites, general mineral paragenesis consists of quartz, plagioclase, plagioclase microliths, biotite, amphibole, opaque minerals and rock fragments. When geochemical data are evaluated, it is observed that all ignimbrite samples are subalkaline, trachy-andesite, andesite-basaltic andesite and calc-alkaline in character. When the main oxide, trace and rare earth elements are evaluated, fractional crystallization is observed in ignimbrites mainly controlled by K-feldspar and plagioclase minerals. In addition, the high K and Rb content in the spider diagrams indicate crustal contamination. The distribution of the ignimbrite samples in the Rb/Y-Nb/Y diagram suggests that the magma source forming the samples is enriched by subduction and/or crustal components.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real Estate Assessment of Agricultural Lands Outside the Zoning Plan with Artificial Neural Networks and Multiple Regression Analysis Methods: The Case of Aksaray, Bahçesaray and Kırımlı Rural Districts 基于人工神经网络和多元回归分析方法的区划外农用地房地产评估——以阿克萨赖、巴哈萨拉赖和Kırımlı农村地区为例

Turkish Journal of Geosciences Pub Date : 2023-01-14 DOI: 10.48053/turkgeo.1213142

Kamil Karataş, Hakan Karaduman

{"title":"Real Estate Assessment of Agricultural Lands Outside the Zoning Plan with Artificial Neural Networks and Multiple Regression Analysis Methods: The Case of Aksaray, Bahçesaray and Kırımlı Rural Districts","authors":"Kamil Karataş, Hakan Karaduman","doi":"10.48053/turkgeo.1213142","DOIUrl":"https://doi.org/10.48053/turkgeo.1213142","url":null,"abstract":"The aim of this study is to determine the criteria affecting the market value of agricultural lands in the rural Bahçesaray and Kırımlı districts, which are outside the zoning plan in the Aksaray Province Central District, where agricultural production continues, and to provide a value estimation and value map with the help of mass valuation methods and geographic information systems (GIS). Using the sales data from 125 parcels in the study area, the market value of the immovables for which the value is unknown in the region, was estimated. The most frequently used criteria in the assessment of agricultural lands were determined, and the valuation was carried out with Multiple Regression Analysis (MRA) and Artificial Neural Networks (ANN). By means of the assessment and the valuation study, the performance of the valuation methods was compared, and it was determined that the best result according to the test data was the valuation with ANN. In the performance analysis conducted with ANN, the Coefficient of Determination (R²) =0.87, Mean Absolute Percentage Error (MAPE)=0.192, Mean Square Error (MSE)=0.047 and Root Mean Square Error (RMSE)=0.059 was found. Moreover, according to the proportional standards guide determined by the International Association of Assessing Officers (IAAO), the performance measurement, the values derived for the Coefficient of Dispersion as (COD)=19.58 and Price-Related Differential as (PRD)=1.02 were also found to be within acceptable limits. Value maps were generated with the results obtained from the calculation. These maps will be drawn in the region for purposes of purchase and sale, expropriation, credit facility, and taxation, etc. And thus, the maps can be used as a base for the aforementioned subjects.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133592109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forest Fire Disaster Risk Analysis using Sentinel 2 and Landsat Images Case Study: Al-Qoubaiyat and Tyre regions, Lebanon 基于Sentinel 2和Landsat图像的森林火灾风险分析——以黎巴嫩Al-Qoubaiyat和Tyre地区为例

Turkish Journal of Geosciences Pub Date : 2022-12-21 DOI: 10.48053/turkgeo.1177843

M. Issa

引用次数: 0

Investigation of the Hamamayağı/Ladik (Samsun, Turkey) Geothermal Field and It’s Surroundings by Optical Remote Sensing with GIS Methods 基于GIS方法的土耳其Hamamayağı/Ladik地热田及其周边地区光学遥感调查

Turkish Journal of Geosciences Pub Date : 2022-11-07 DOI: 10.48053/turkgeo.1132970

Ömer Faruk Uzun, Orkunt Turgay

引用次数: 1

Application of Remote Sensing and GIS techniques for detecting burned areas and severity. A case study of the National Park "Dajti Mountain", Albania. 遥感和GIS技术在探测烧伤区域和严重程度中的应用。以阿尔巴尼亚“Dajti山”国家公园为例。

Turkish Journal of Geosciences Pub Date : 2022-10-21 DOI: 10.48053/turkgeo.1150655

E. Pasho, Arben Q. ALLA, Ernest Ramaj

{"title":"Application of Remote Sensing and GIS techniques for detecting burned areas and severity. A case study of the National Park \"Dajti Mountain\", Albania.","authors":"E. Pasho, Arben Q. ALLA, Ernest Ramaj","doi":"10.48053/turkgeo.1150655","DOIUrl":"https://doi.org/10.48053/turkgeo.1150655","url":null,"abstract":"Assessment of forest areas affected by wildfire is crucial for designing appropriate management strategies to support post-wildfire restoration. This study integrates remote sensing and GIS data to map burned areas and severity, and regeneration of vegetation in a Mediterranean forest type ecosystem (National Park \"Dajti Mountain\", NPDM), in Albania. Landsat 8 satellite imagery was employed to calculate various spectral indices such as the Normal Burn Ratio Index (NBR), NBR2, the Normalized Difference Vegetation Index (NDVI) and the Improved Vegetation Index (EVI). Burn severity levels were defined by using the dNBR thresholds developed by Key and Benson (2006). The accuracy of the burn severity map produced was evaluated by relating field-based Composite Burn Index (CBI) and satellite-derived metrics (dNBR) from Landsat-8. By means of dNBR and dNBR2 we detected and mapped several burned forest areas within the NPDM, at the sites of Shkallë, Qafëmolle, Ibë, Tujan, Derje, Selbë, Surrel and Dajt, which were affected by wildfire during the year 2017. The dNBR produced the best results for burned areas mapping and burn severity assessment (91.7%) over the dNBR2 (89.8%). The dNBR/dNBR2 index maps showed that a total of 103.59/105.72 hectares of forests was affected by wildfire. Areas with different levels of burn severity were detected: 17.29/23.80% unburned, 43.36/45% low, 15.11/12.13% moderate, 24.93/21.2% high. Overall, the dNBR2 index produced lower percentages of wildfire-affected areas at high and moderate rates compared to the dNBR index while for unburned areas the dNBR2 index resulted in higher percentages. Vegetation recovery during the subsequent growing season was generally good as revealed by the high NDVI and EVI values, indicating the reactivation of photosynthetic activity. This information is useful for forest managers/specialists to design relevant strategies for the proper rehabilitation/management of burned forest areas in the future.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the Threat of Forest Fires to Ancient Cities by GIS and Remote Sensing Methods 基于GIS和遥感的森林火灾对古城的威胁分析

Turkish Journal of Geosciences Pub Date : 2022-08-31 DOI: 10.48053/turkgeo.1140975

Ezgi Tükel, Kaan Kalkan

引用次数: 0

Parametric Analysis of Factors that Affects the Rainfall Induced Slope Stability 降雨诱发边坡稳定影响因素的参数分析

Turkish Journal of Geosciences Pub Date : 2022-08-25 DOI: 10.48053/turkgeo.1062245

Furkan Veli Özçeli̇k, Murat E. Selçuk

{"title":"Parametric Analysis of Factors that Affects the Rainfall Induced Slope Stability","authors":"Furkan Veli Özçeli̇k, Murat E. Selçuk","doi":"10.48053/turkgeo.1062245","DOIUrl":"https://doi.org/10.48053/turkgeo.1062245","url":null,"abstract":"Slope failures are one of the most important problems in geotechnical engineering. When slope failure occurs, devastating results occur both in human life and financially. Slope failures are frequently seen especially in regions where rainfall is high. The most important factor affecting slope stabilities is rainfall infiltration. It is known that infilled soils are generally unsaturated soil. Therefore, the analysis of infill slopes should be done within the scope of unsaturated soil mechanics. Rainfall infiltration causes the groundwater level to rise, which reduces the shear strength of the soil. Eventually, it can cause the slope instability. \u0000In this study, the effect of rainfall intensity, rainfall duration, soil permeability, groundwater level, cohesion of soil, internal friction angle of the soil, and slope angle of the slope on the slope stability were analysed parametrically by using Seep/w and Slope/w modules of Geostudio software. At the end of the study, different factor of safety numbers were found for each analysis, how much the parameters affected the slope stability were shown and interpreted. \u0000It has been observed by the analyses that the rainfall intensity affects the stability of the slope. It was found that there is a non-linear relationship between rainfall intensity and safety number. As the rainfall intensity increases, the negative pore water pressure in the soil decreases nonlinearly, and the factor of safety number of the slope similarly decreases.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"26 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114027367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Performance of Algorithms in Estimating the Chl-a Concentration of Lake Bafa 八法湖Chl-a浓度估算算法的性能评价

Turkish Journal of Geosciences Pub Date : 2022-06-30 DOI: 10.48053/turkgeo.1118373

Elif Kirtiloğlu, H. Karabörk

{"title":"Evaluating the Performance of Algorithms in Estimating the Chl-a Concentration of Lake Bafa","authors":"Elif Kirtiloğlu, H. Karabörk","doi":"10.48053/turkgeo.1118373","DOIUrl":"https://doi.org/10.48053/turkgeo.1118373","url":null,"abstract":"Monitoring and mapping pigment concentrations in water bodies have a critical role in early intervention or investigation of causes for prevention. Remote sensing data is the most effective alternative due to its advantages as effortless, requiring less labor, and displaying large areas in a single frame. Analyzing and estimating Chlorophyll-a (Chl-a) concentrations constitute the most important research topics in water bodies because all phytoplankton contain Chl-a. In this study, we evaluated the performance of algorithms in estimating the Chl-a concentration of Lake Bafa based on Sentinel 2 bands which are simulated from in situ reflectance data. We used 1/R665xR705, 1/R665-1/R705, (1/R665-1/R705)xR740, R705/(R560+R665), and, Normalized Difference Chlorophyll Index (NDCI) algorithms for evaluation. Water samples and in situ measurements were collected and obtained in two field campaigns. Bands of Sentinel 2 were then simulated from in situ reflectance data and used to calibrate and validate models for Chl-a estimation. As a result of the analyzes results 0.679, 0.749, 0.395, 0.726, and 0.7 R² values and 1.882, 1.663, 1.737, and 1.818 µg/l RMSE values obtained respectively. Sentinel 2 images have been used for map validation. Our results show that 1/R665xR705 and NDCI algorithms performed better compared to the other three algorithms for our data range at Lake Bafa.","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geophysical Analysis of Thermo-physical Properties of Rocks in Ikogosi field for Geothermal Energy Prospect. Ikogosi地热能勘探中岩石热物性的地球物理分析

Turkish Journal of Geosciences Pub Date : 2022-06-21 DOI: 10.48053/turkgeo.1112911

S. Sedara

{"title":"Geophysical Analysis of Thermo-physical Properties of Rocks in Ikogosi field for Geothermal Energy Prospect.","authors":"S. Sedara","doi":"10.48053/turkgeo.1112911","DOIUrl":"https://doi.org/10.48053/turkgeo.1112911","url":null,"abstract":"The thermal and physical properties of rock units from Ikogosi Warm Spring (IKGWS) in the Southwestern part of Nigeria were examined in order to characterize and explore its geothermal prospect and to provide an insight into the different thermal properties of rocks of the study area. \u0000A total of 40 rock samples made up of granite, quartzite and gneiss series were collected from the outcrops of the study area and analyzed for Thermal conductivity (TC), Radiogenic heat production (RHP), Heat flow (HF), Porosity, Density and surface spring temperature measurements. \u0000The RHP values for all samples varied from 1.8 to 3.5µWm-3 with an average value of 2.5µWm-3 and standard deviation (SD) of 0.4 while the heat flow values varied from 14 to 27 mWm-2 with an average of 19mWm-2 and SD of 3.4. The TC values varied from 2.95 to 4.11 with a mean of 3.49mWK-1 with a SD of 0.4 while the porosity values varied from 0.21-1.15% with a mean of 0.62% with SD of 0.39. The density values varied from 2.68 to 2.85gcm-3 with a mean of 2.76gcm-3 and SD of 0.067. The surface temperature of the spring varied from 32 to 45°C with a mean of 38.9°C. \u0000From these results the average RHP and HF values estimated from all samples was below the 4µWm-3 and 100mWm-2 recommended value of heat to be considered for economic importance. Thus, the IKGWS geothermal field cannot be explored for power generation but for other geothermal activities and may be classified as a low enthalpy geothermal system (","PeriodicalId":442032,"journal":{"name":"Turkish Journal of Geosciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130972829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0