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Öğe Evaluation of Thermal Comfort Conditions in the Working Environments of Seasonal Agricultural Workers in Csa Koppen Climate Type(Mdpi, 2024) Karakus, Nihat; Selim, Serdar; Selim, Ceren; Olgun, Rifat; Koc, Ahmet; Ardahanlioglu, Zeynep R.; Dogan, Sulem SenyigitThis study focuses on determining the thermal comfort conditions of seasonal agricultural workers during the hot periods of the year when agricultural production is intense in the Aksu/T & uuml;rkiye region, which is characterized by the Csa climate type according to the K & ouml;ppen-Geiger climate classification. In this study, the thermal comfort conditions of seasonal agricultural workers working on open farmlands were evaluated in ten-day, monthly, and seasonal periods for 6 months between 5:00 and 21:00 h using the modified Physiological Equivalent Temperature (mPET) index in the Rayman Pro software according to their activity energy during work. The results of the study reveal that increased activity energy leads to a decrease in thermal comfort conditions of agricultural workers, mPET values of agricultural workers engaged in soil cultivation (Group II) are 2.1 to 2.9 degrees C higher than the mPET values of workers engaged in plant care and harvesting (Group I), and the agricultural workers in Group II are exposed to more heat stress. The thermal comfort conditions of agricultural workers in Group I deteriorate between 09:00 and 16:00 h with mPET values between 34.1 and 35.3 degrees C and those of agricultural workers in Group II deteriorate between 08:00 and 17:00 h with mPET values between 34.3 and 37.7 degrees C. In this context, the daily comfortable working time in the morning and afternoon was found to be 9 h for Group I and 7 h for Group II. Overall, determining the comfortable working hours of agricultural workers in regions with different climate types in future studies will be an important resource for decision-makers in developing strategies to protect the health and increase the productivity of agricultural workers.Öğe Examining the temporal and spatial distribution of potential urban heat island formations(Springer Heidelberg, 2022) Koc, Ahmet; Caf, Ahmet; Koc, Canan; Kejanli, Devrim TurkanDue to urbanization worldwide, gradual increase in construction and use of irregular urban topography affect urban climate negatively, triggering urban heat island (UHI) formations in cities and thereby causing them to become uninhabitable places for human comfort. This study, which covers the province of Diyarbakir in Turkey, aims to determine the spatial and temporal distribution of areas with potential urban heat island (UHI) by using remote sensing methods and satellite/terrain data available between 2001 and 2019. According to the Landsat 7 satellite, an area with a potential of 27.4 km(2) in 2001, 20.8 km(2) in 2006, 27.4 km(2) in 2008, 16.7 km(2) in 2010, and 12.2 km(2) in 2012 was determined. According to the Landsat 8 satellite, it was measured as 14.49 km(2) in 2017 and 15.67 km(2) in 2018. According to Landsat 8 satellite data, areas with UHI potential increased by 14.6% over a 3-year period. According to Landsat 7 data, there has been a continuous fluctuation over the years. One of the important results of this study is that between 2001 and 2019, the higher the rate of change according to the surface temperature, the larger the area with the potential of the heat island. At the same time, it has been determined that spatially potential UHIs have a great potential not in the city center, but in the surrounding areas close to the center and in the topographically hollow areas.Öğe Multi-criteria decision-making using GIS-AHP for air pollution problem in Igdir Province/Turkey(Springer Heidelberg, 2020) Sahin, Fatma; Kara, Mehmet Kazim; Koc, Ahmet; Sahin, GokhanToday, environmental problems are increasing and threatening nature and human health. Air pollution is at the top of this threat. Air, the main source of life, is indispensable for humans and living things. Therefore, air pollution causes mass results. Many air pollution studies and many solution techniques have been proposed in the literature to deal with the air pollution problem. In this study, it is called analytical hierarchy process (AHP) and geographic information systems (GIS), which is one of the multi-criteria decision making methods used in the investigation of air pollution in Igdir city center and its four districts: Tuzluca, Igdir Central, Karakoyunlu, and Aralik. In this study, spatial analysis of the pollutant parameters using the GIS-AHP technique was performed with the help of the data obtained from Igdir Weather Monitoring Stations. By determining the pollutant parameters, pollution distribution maps were created, and station-based statistics were evaluated with dynamic mapping. For the first time, 15 parameters of weather and topographic features were used. Based on this result, it is obvious that Igdir center is the worst place in the air pollution problem for GIS-AHP method. It varies for 15 parameters using GIS-AHP, compared with the review of locations on a daily basis. The aim of this study is primarily to investigate possible places of air pollution. Also, by comparing the results of two methods, GIS and AHP, more accurate results are given.Öğe Wind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/ Turkey(Elsevier, 2024) Rustemli, Sabir; Guntas, Omer; Sahin, Gokhan; Koc, Ahmet; van Sark, Wilfried; Dogan, Sulem SenyigitWind energy, being a sustainable energy source, is a benign, dependable, limitless, and cost-effective source of energy. This study involved the creation of a wind power plant site selection map at a provincial scale using a GIS application. The map took into account both environmental risks and environmental criteria. A wind energy measurement station of the PCE-FWS 20 type, equipped with a touch screen, was installed in the Rahva campus of Bitlis Eren University. Over the course of one year, data on wind direction, wind speed, temperature, relative humidity, and air pressure were collected at 5-s intervals and averaged over 20-min periods. The purpose of this study was to assess the suitability of the measured region for wind energy potential. A comprehensive statistical analysis was conducted using all the data collected during this period to assess the wind energy potential in the studied region. The Weibull distribution was employed to analyse the wind energy potential of this particular region. We employed graphical techniques to ascertain the Weibull distribution. The wind data analysis and simulation were conducted using the Matlab application. Analysed were the monthly statistical wind energy potential of the region, wherein the average wind speed and power density values were determined and presented through graphs at 20-min intervals. Upon analyzing the map generated using the Geographical Information Systems (GIS) technique, it has been ascertained that Bitlis Eren University Rahva campus is located in favorable areas.