Dış Mekân Termal Konfor Koşullarının Zamansal ve Mekânsal Dağılımı:   Konyaaltı-Antalya Örneği

KARAKUŞ, Nihat; Selim, Serdar

doi:10.29048/makufebed.1151024

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…In other words, it assumes that the measured value closest to the prediction location has a greater influence than those farther away when making predictions. Consequently, as this method assigns more weight to points closer to the prediction location compared to those farther away, it is called the "Inverse Distance Weighted Method" (Watson, 1985;Karakuş and Selim, 2022). The formula for the Inverse Distance Weighted Method is expressed as:…”

Section: Methodsmentioning

confidence: 99%

Determination of Suitable Areas for Biocomfort Using Heat Index With the Aid of Gis: The Case of Burdur

KAPLUHAN,

YUKA,

KUŞCU

2024

SOBIDER

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Bioclimatic comfort features hold significant importance in nearly every aspect of human life. Indeed, bioclimatic comfort is defined as the environment where individuals coexist with climatic conditions that make them feel more dynamic and healthy. In this context, temperature, relative humidity, wind, and precipitation are climatic conditions effective in providing bioclimatic comfort. Climatic conditions need to fall within suitable ranges for individuals to feel comfortable in their living environment. If the environment is not conducive to bioclimatic comfort, individuals may find themselves feeling uncomfortable and compelled to distance themselves from their living surroundings. This study identifies areas with optimal bioclimatic comfort based on climate data for the Burdur province. Climate data (temperature and relative humidity) from 16 meteorological stations were transferred to a Geographic Information System (GIS) environment. The point data transferred to the GIS environment were converted into raster data using the Inverse Distance Weighting (IDW) method. Thus, temperature and relative humidity maps of the study area were generated. To determine areas suitable for bioclimatic comfort using the produced temperature and relative humidity

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Section: Methodsmentioning

confidence: 99%

Determination of Suitable Areas for Biocomfort Using Heat Index With the Aid of Gis: The Case of Burdur

KAPLUHAN,

YUKA,

KUŞCU

2024

SOBIDER

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“…In terms of selecting the green areas, their central location in the city, areal sizes, vegetation densities, and environmental land uses were taken into consideration. Olgyay (1973) suggested that thermal comfort conditions deteriorate the most from May to October due to hot stress in the Mediterranean Climate Zone (Karakuş and Selim, 2022;Cinar et al, 2023). Based on this information and previous scientific research, the study focused on the months between May and October.…”

Section: Figure 1 Study Areamentioning

confidence: 99%

Investigation of Green Space Cooling Potential on Land Surface Temperature in Antalya City of Turkey

Selim

Eyileten

KARAKUŞ

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The aim of this study is to investigate the potential cooling effect of urban green spaces on land surface temperature (LST). Two significant green areas and their surroundings in the Konyaaltı district of Antalya province were selected as the sample area. Antalya is one of the most important tourist destinations in Turkey and has experienced rapid population growth along with increasing construction. Because the sample area is located in the Mediterranean Climate Zone, the research datasets were limited to a 6-month time series covering May and October, as recommended by previous studies. In the study, cloudless Landsat 8 satellite images were utilized to obtain vegetation density and land surface temperature. After making atmospheric corrections to the satellite images, the researchers used a series of algorithms to calculate NDVI and LST values from Landsat 8's NIR, Red, and thermal bands. A linear cross-section was assigned from the maps, and statistical analysis was performed by applying the Pearson correlation test to the data obtained from the pixels in contact with the section. The analysis revealed that there is a strong opposite correlation between plant density and land surface temperature, and the land surface temperature decreases as the plant density increases. The cooling effect of green areas range from 0.13–1.04 °C, although it varies according to the month. The 1st sample area had an average cooling effect of 0.77 °C, while the 2nd sample area had an average of 0.28 °C cooling effect. Combining the results from both sample areas, the researchers found that urban green spaces provide a cooling effect of 0.52 °C during the hot months of the spring and summer seasons in the Mediterranean climate zone. The results suggest that green areas play an important role in cooling today's cities that have turned into concrete jungles. Therefore, it is suggested that increasing the presence of urban green areas through green infrastructure planning can not only enhance the cooling effect of green spaces in urban areas but also help combat global climate change.

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“…The ambient temperature in Antalya in November was determined as 15 ℃ and based on the assumption that the water temperature was 30 ℃, the required collector heat load calculations were carried out for heating a swimming pool with solar energy [5]. The average wind speed value for Antalya province was taken as 𝑉 𝑜 2.3 m/s and relative humidity as 64% [6]. In addition, the 𝑃 𝑂 value was determined as 4.2 kPa and the 𝑃 𝐶 value was 3.84 kPa for 30 ℃ water temperature from Figure 1 [7].…”

Section: B Calculation Of Heating Load For Heating Pool Watermentioning

confidence: 99%

Heating the Water of a Swimming Pool with Solar Energy

2023

Proceeding Book of 2nd International Conference on Recent Academic Studies ICRAS 2023

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The most common method of using solar energy is heating, and the heat from solar energy is used with water and air solar collectors. Hot water systems are among the most economical and common solar energy systems. There are systems for solar water heating. Solar hot water heating systems are generally used in hotels, summer cooperatives, where there are residential houses, greenhouses, and swimming pools. The hot water demand is partially met. The collector heat load required to heat a swimming pool in Antalya with solar energy was calculated. Accordingly, the pool area was calculated for the dimensions of the pool. Then, the heat load was determined for November, one of the autumn months in Antalya province.

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Dış Mekân Termal Konfor Koşullarının Zamansal ve Mekânsal Dağılımı: Konyaaltı-Antalya Örneği

Cited by 4 publications

References 43 publications

Determination of Suitable Areas for Biocomfort Using Heat Index With the Aid of Gis: The Case of Burdur

Determination of Suitable Areas for Biocomfort Using Heat Index With the Aid of Gis: The Case of Burdur

Investigation of Green Space Cooling Potential on Land Surface Temperature in Antalya City of Turkey

Heating the Water of a Swimming Pool with Solar Energy

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