Landslides are natural disasters that affect not only residential areas but alos forest ecosystems. In order to determine the areas with high landslide risk and take necessary measures in risky areas, landslides susceptible should analyzed and susceptible map (LSM) should be developed in advance. In this study, a LSM was produced for two study areas with different sizes including Çankırı province and in the Ilısılık Village of Çankırı in Türkiye. Analytical Hierarchy Process (AHP) and Logistic Regression Modeling (LRM) methods were used to generate LSM based on the main factors including elevation, slope, lithology, distance to faults - streams and roads. For Çankırı province, 30 m resolution Digital Elevation Model (DEM) was used to produce the map while one-meter resolution Digital Terrain Model (DTM), generated by using Unmanned Aerial Vehicle (UAV), was used for Ilısılık Village. As a result of the study, AHP model success was calculated as 73.9% and 91.7% for Çankırı and Ilısılık, respectively, considering the previous landslides occurred in the region. On the other hand, LRM model success was 75.2% and 93.1%, respectively. It was also indicated that DTM data is advantageous to DEM data by offering a more precise and detailed usage opportunity. The sensitivity is revealed more clearly and effectively in precision planning studies such as risk mapping of natural disasters that requires special measurement in small areas.
{"title":"Generating Landslide Susceptibility Maps Using Mathematical Models and UAV data: The Case of Çankırı Region in Türkiye","authors":"A. Özçelik, Ender Buğday","doi":"10.33904/ejfe.1066040","DOIUrl":"https://doi.org/10.33904/ejfe.1066040","url":null,"abstract":"Landslides are natural disasters that affect not only residential areas but alos forest ecosystems. In order to determine the areas with high landslide risk and take necessary measures in risky areas, landslides susceptible should analyzed and susceptible map (LSM) should be developed in advance. In this study, a LSM was produced for two study areas with different sizes including Çankırı province and in the Ilısılık Village of Çankırı in Türkiye. Analytical Hierarchy Process (AHP) and Logistic Regression Modeling (LRM) methods were used to generate LSM based on the main factors including elevation, slope, lithology, distance to faults - streams and roads. For Çankırı province, 30 m resolution Digital Elevation Model (DEM) was used to produce the map while one-meter resolution Digital Terrain Model (DTM), generated by using Unmanned Aerial Vehicle (UAV), was used for Ilısılık Village. As a result of the study, AHP model success was calculated as 73.9% and 91.7% for Çankırı and Ilısılık, respectively, considering the previous landslides occurred in the region. On the other hand, LRM model success was 75.2% and 93.1%, respectively. It was also indicated that DTM data is advantageous to DEM data by offering a more precise and detailed usage opportunity. The sensitivity is revealed more clearly and effectively in precision planning studies such as risk mapping of natural disasters that requires special measurement in small areas.","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45202282","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}
Global Positioning System (GPS) technology has been used in many different fields for many years. In recent years, GPS technologies have started to be preferred along with telemetry method in the monitoring and tracking of wild animal. This technology has been widely used especially in developing collars for wild animal tracking. However, due to the high cost of such devices and limited user intervention, they are not commonly used by practitioners or researchers with limited budget. Today, many hardware-based platforms have been developed with the developing technology. The Arduino platform, one of the prominent ones with its technical features, has great advantages of having different sensors and hardware work on single device. Besides, it is possible to produce cost-effective devices using this platform. Within the scope of this study, an Arduino-based wild animal tracking device (FiT-SMART Collar 2.0) with GPS support and remote data transfer via GSM was produced. The produced device was preliminary tested with a vehicle in the city traffic of Bursa, Türkiye. According to the results, the accuracy of the tracking data provided by smart collar was within the acceptable range of 2-3 m. Besides, instant tracking data has been successfully received in the system application using the GSM communication system attached on the platform.
{"title":"Preliminary Application of a Low-cost Smart Collar Developed for Wild Animal Tracking","authors":"A. Imamoǧlu, I. Tas","doi":"10.33904/ejfe.1131931","DOIUrl":"https://doi.org/10.33904/ejfe.1131931","url":null,"abstract":"Global Positioning System (GPS) technology has been used in many different fields for many years. In recent years, GPS technologies have started to be preferred along with telemetry method in the monitoring and tracking of wild animal. This technology has been widely used especially in developing collars for wild animal tracking. However, due to the high cost of such devices and limited user intervention, they are not commonly used by practitioners or researchers with limited budget. Today, many hardware-based platforms have been developed with the developing technology. The Arduino platform, one of the prominent ones with its technical features, has great advantages of having different sensors and hardware work on single device. Besides, it is possible to produce cost-effective devices using this platform. Within the scope of this study, an Arduino-based wild animal tracking device (FiT-SMART Collar 2.0) with GPS support and remote data transfer via GSM was produced. The produced device was preliminary tested with a vehicle in the city traffic of Bursa, Türkiye. According to the results, the accuracy of the tracking data provided by smart collar was within the acceptable range of 2-3 m. Besides, instant tracking data has been successfully received in the system application using the GSM communication system attached on the platform.","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49063512","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}
The bare surfaces formed on the slopes in the construction of forest roads become the most important sediment sources due to erosion. In this study, it is aimed to evaluate the effectiveness of the WEPP model in local conditions by comparing the data obtained from the same forest roads and the annual soil loss calculated with the WEPP:Road Batch model with the data obtained with ABAG, which is the metric system of the USLE model. For this purpose, analyzes were made on newly built, 5-year and 10-year sample forest roads. Web-based WEPP: Road Batch WEPP Forest Road Erosion Predictor model and ABAG model calculations were performed for the analysis. As a result of the calculations made on newly built road slopes and built 5 to 10 years ago, 7.93-15.5, 1.46-1.59 and 1.58-1.75 tons/ha/year estimated values were obtained for WEEP and ABAG models, respectively. As a result, it is thought that it would be more accurate to determine the annual soil loss precisely by taking samples only from newly built roads, where it is possible to use WEPP: Road Batch software on aged roads. Thus, a strategy can be formed about erosion and slope stability studies on forest roads.
{"title":"Comparison of Wepp:Road Batch Model and ABAG Model Results for Estimating the Amount of Top Soil Erosion in Forest Road Fill Slopes","authors":"Gizem Yorulmaz, S. Gümüş","doi":"10.33904/ejfe.1105553","DOIUrl":"https://doi.org/10.33904/ejfe.1105553","url":null,"abstract":"The bare surfaces formed on the slopes in the construction of forest roads become the most important sediment sources due to erosion. In this study, it is aimed to evaluate the effectiveness of the WEPP model in local conditions by comparing the data obtained from the same forest roads and the annual soil loss calculated with the WEPP:Road Batch model with the data obtained with ABAG, which is the metric system of the USLE model. For this purpose, analyzes were made on newly built, 5-year and 10-year sample forest roads. Web-based WEPP: Road Batch WEPP Forest Road Erosion Predictor model and ABAG model calculations were performed for the analysis. As a result of the calculations made on newly built road slopes and built 5 to 10 years ago, 7.93-15.5, 1.46-1.59 and 1.58-1.75 tons/ha/year estimated values were obtained for WEEP and ABAG models, respectively. As a result, it is thought that it would be more accurate to determine the annual soil loss precisely by taking samples only from newly built roads, where it is possible to use WEPP: Road Batch software on aged roads. Thus, a strategy can be formed about erosion and slope stability studies on forest roads.","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45461618","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}
Forestry is among the dangerous work classes due to its working conditions. Especially fatal accidents that may occur during production activities take an important place in this regard. In addition to occupational accidents, there are various risks such as physical, chemical, biological, ergonomic that are often ignored and can cause serious health problems in long periods. Increasing mechanization, especially in the field of forestry, has brought with it various risks. The basis of machine-based production works is the use of engine power which is mostly derived from fossil fuels. Therefore, situations such as the release of waste gases to the environment during operation are encountered. The main gases polluting the air we breathe include carbon monoxide (CO), sulfur oxides, hydrocarbons and nitrogen oxides. CO is very dangerous especially because of its rapid mixing with the blood. In addition, noise caused by motor movements and particle exposure caused by wood raw material or ground interaction in machine production are important conditions. Considering the studies on this subject, the main risk factors can be classified as noise, particulate matter and gas. In this study, these risk factors caused by the forestry machines were evaluated and Fine Kinney Method, as one of the most common risk assessment methods used in the subject were presented. Therefore, further studies on the relevant subject; It will make significant contributions to improving working conditions for forest workers working under difficult conditions, recommending personal protective equipment and making improvements in the field of occupational health and safety.
{"title":"Risk Factors and Risk Assessment Methods Caused by Mechanical Tools Used in Forestry","authors":"I. Tas, A. Akay","doi":"10.33904/ejfe.1131463","DOIUrl":"https://doi.org/10.33904/ejfe.1131463","url":null,"abstract":"Forestry is among the dangerous work classes due to its working conditions. Especially fatal accidents that may occur during production activities take an important place in this regard. In addition to occupational accidents, there are various risks such as physical, chemical, biological, ergonomic that are often ignored and can cause serious health problems in long periods. Increasing mechanization, especially in the field of forestry, has brought with it various risks. The basis of machine-based production works is the use of engine power which is mostly derived from fossil fuels. Therefore, situations such as the release of waste gases to the environment during operation are encountered. The main gases polluting the air we breathe include carbon monoxide (CO), sulfur oxides, hydrocarbons and nitrogen oxides. CO is very dangerous especially because of its rapid mixing with the blood. In addition, noise caused by motor movements and particle exposure caused by wood raw material or ground interaction in machine production are important conditions. Considering the studies on this subject, the main risk factors can be classified as noise, particulate matter and gas. In this study, these risk factors caused by the forestry machines were evaluated and Fine Kinney Method, as one of the most common risk assessment methods used in the subject were presented. Therefore, further studies on the relevant subject; It will make significant contributions to improving working conditions for forest workers working under difficult conditions, recommending personal protective equipment and making improvements in the field of occupational health and safety.","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46301580","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}
Yuta Ikeda, B. Battuvshin, Hiroaki Shirasawa, Ganbaatar Chultem, F. Ishiguri, K. Aruga
This study estimates the costs and profits of extracting dead trees from forests to be sold at provincial centers via sub-provincial centers as lumber, to be sold at sub-provincial centers as firewood and unused materials for the production of energy. The effect of site conditions on cost and profit was examined. Forest registration data including subgroup area, tree species, and forest stocks; polygonal data describing province/sub-province, protected/nonprotected, and subgroup boundaries (shape file); point data of provincial/sub-provincial center (shape file); and linear data about roads (shape file) were acquired from the Mongolian government. Subgroups comprising Siberian larch, Scotch pine, and Asian white birch trees were analyzed. A positive correlation was found between off-road/primary transportation distance and harvesting/total cost; the total cost and ratio of lumber yield in each subgroup, resulting from the additional cost of transporting lumber from the sub-provincial center to the provincial center. The strong positive correlation between profitability and the ratio of lumber yield to the total yield of each subgroup means that profits will increase as more lumber is harvested, although lumber costs more than firewood or other unused wood. Therefore, the extent to which lumber can be harvested from each subgroup has a significant influence on profitability.
{"title":"Effects of Site Conditions on Costs and Profitability in the Extraction and Use of Dead Trees in Mongolia","authors":"Yuta Ikeda, B. Battuvshin, Hiroaki Shirasawa, Ganbaatar Chultem, F. Ishiguri, K. Aruga","doi":"10.33904/ejfe.1087059","DOIUrl":"https://doi.org/10.33904/ejfe.1087059","url":null,"abstract":"This study estimates the costs and profits of extracting dead trees from forests to be sold at provincial centers via sub-provincial centers as lumber, to be sold at sub-provincial centers as firewood and unused materials for the production of energy. The effect of site conditions on cost and profit was examined. Forest registration data including subgroup area, tree species, and forest stocks; polygonal data describing province/sub-province, protected/nonprotected, and subgroup boundaries (shape file); point data of provincial/sub-provincial center (shape file); and linear data about roads (shape file) were acquired from the Mongolian government. Subgroups comprising Siberian larch, Scotch pine, and Asian white birch trees were analyzed. A positive correlation was found between off-road/primary transportation distance and harvesting/total cost; the total cost and ratio of lumber yield in each subgroup, resulting from the additional cost of transporting lumber from the sub-provincial center to the provincial center. The strong positive correlation between profitability and the ratio of lumber yield to the total yield of each subgroup means that profits will increase as more lumber is harvested, although lumber costs more than firewood or other unused wood. Therefore, the extent to which lumber can be harvested from each subgroup has a significant influence on profitability.","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45139499","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}
{"title":"Integrated Planning of Timber Extraction and Hauling Activities by using Network 2000 Program","authors":"A. Akay, Nedimcan Şeşen","doi":"10.33904/ejfe.1038669","DOIUrl":"https://doi.org/10.33904/ejfe.1038669","url":null,"abstract":"","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48972284","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}
{"title":"A Simple Example on Life Cycle Assessment of Wood Harvesting Technologies in Turkish Forestry to Mitigate Greenhouse Gas Emissions","authors":"M. Eker, H. Coban","doi":"10.33904/ejfe.1036102","DOIUrl":"https://doi.org/10.33904/ejfe.1036102","url":null,"abstract":"","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49075362","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}
S. Gülci, Kıvanç Yüksel, Selçuk Gümüş, Michael Wing
{"title":"Mapping Wildfires Using Sentinel 2 MSI and Landsat 8 Imagery: Spatial Data Generation for Forestry","authors":"S. Gülci, Kıvanç Yüksel, Selçuk Gümüş, Michael Wing","doi":"10.33904/ejfe.1031090","DOIUrl":"https://doi.org/10.33904/ejfe.1031090","url":null,"abstract":"","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47423370","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}
Douffı KOUAKOU GUY-CASIMIR, Akoua Clémentine Yao, Kouao Jean Koffi, Amara Sidiki Traoré, M. Kone
{"title":"Afforestation in Response to Thermal Change in the Forest-Savannah Transition of the Lamto Scientific Reserve, Côte d'Ivoire","authors":"Douffı KOUAKOU GUY-CASIMIR, Akoua Clémentine Yao, Kouao Jean Koffi, Amara Sidiki Traoré, M. Kone","doi":"10.33904/ejfe.978520","DOIUrl":"https://doi.org/10.33904/ejfe.978520","url":null,"abstract":"","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44332241","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}
{"title":"Accuracy Comparison of UAV-RTK and UAV-PPK Methods in Mapping Different Surface Types","authors":"R. Eker, Ece Alkan, A. Aydın","doi":"10.33904/ejfe.938067","DOIUrl":"https://doi.org/10.33904/ejfe.938067","url":null,"abstract":"","PeriodicalId":36173,"journal":{"name":"European Journal of Forest Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44881937","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}
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