Abstract
Climate comfort based caused by geographical conditions has influenced human activities, living standards, and even settlement forms from the early ages and continuous to so in our time. People have been coming up with various solutions in order to adapt to climatic conditions since the dawn of humanity. Despite the technological advancement that resulted in the manufacturing of climate and thermal control devices and equipment, the periodical change of settlements in certain areas is observed to this day. Kahramanmaras and the surrounding city serve as an example wherein climate comfort changes with time and location. The main objective of this research is to determine hourly climate comfort and the adaptation of people in and around city. Climate data were hourly organized, PET index was established to determine the climate comfort, and these indices were classified according to the psychology diagram equivalent to the temperature. Later, the climate comfort maps obtained spatially were superimposed on the city settlements. It has been determined that throughout the city planning, people moved and developed a different way of life due to the temporal-spatial variation of climate comfort. This movement has gathered pace due to the effect of summer heat waves which is a direct result of urban heat islands and climate change. It is necessary that this situation should be reflected in climate comfort-based planning.
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References
Adiguzel F, Cetin M, Kaya E, Simsek M, Gungor S, Bozdogan Sert E (2020) Defining suitable areas for bioclimatic comfort for landscape planning and landscape management in Hatay, Turkey. Theor Appl Climatol 139(3):1493–1503. https://doi.org/10.1007/s00704-019-03065-7
Azevedo JA, Chapman L, Muller CL (2016) Quantifying the daytime and night-time urban heat island in Birmingham, UK: A comparison of satellite derived land surface temperature and high resolution air temperature observations. Remote Sens 8(2):153 https://www.mdpi.com/2072-4292/8/2/153
Cetin M (2015) Determining the bioclimatic comfort in Kastamonu city. Environ Monit Assess 187(10):640. https://doi.org/10.1007/s10661-015-4861-3
Cetin M (2016) Determination of bioclimatic comfort areas in landscape planning: a case study of Cide Coastline. Turkish J Agric Food Sci Technol 4(9):800–804 http://www.agrifoodscience.com/index.php/TURJAF/article/view/872
Cetin M (2019) The effect of urban planning on urban formations determining bioclimatic comfort area's effect using satellitia imagines on air quality: a case study of Bursa city. Air Qual Atmos Health 12(10):1237–1249. https://doi.org/10.1007/s11869-019-00742-4
Cetin M, Zeren I (2016) Evaluation of the value of biocomfort for Kastamonu-Inebolu. International Conference GREDIT’2016–Green Development Infrastructure Technology, Poster section 4: Management of Urban and Industrial Waste, Climate Change–Biodiversity–Efficiency. ISBN 978-608-4624-21-9, 31.03 and 01.04 2016, pp. 4–35, 310, Skopje, Macedonia.
Cetin M, Adiguzel F, Gungor S, Kaya E, Sancar MC (2019) Evaluation of thermal climatic region areas in terms of building density in urban management and planning for Burdur, Turkey. Air Qual Atmos Health 12(9):1103–1112. https://doi.org/10.1007/s11869-019-00727-3 https://link.springer.com/content/pdf/10.1007%2Fs11869-019-00727-3.pdf
Chung YS, Kim HS (2019) Observations on changes in Korean Changma rain associated with climate warming in 2017 and 2018. Air Qual Atmos Health 12(2):197–215. https://doi.org/10.1007/s11869-018-00658-5
De Ridder K, Maiheu B, Lauwaet D, Daglis IA, Keramitsoglou I, Kourtidis K, Manunta P, Paganini M (2016) Urban heat island intensification during hot spells-The case of Paris during the summer of 2003. Urban Sci 1(1):3–11 https://www.mdpi.com/2413-8851/1/1/3
Höppe P (1999) The physiological equivalent temperature-a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol 43:71–75. https://doi.org/10.1007/s004840050118
Insaf TZ, Lin S, Sheridan SC (2013) Climate trends in indices for temperature and precipitation across New York State, 1948–2008. Air Qual Atmos Health 6(1):247–257. https://doi.org/10.1007/s11869-011-0168-x
Kim HS, Chung YS, Cho JH (2017) Long-term variations of dust storms and associated dustfall and related climate factors in Korea during 1997 ~ 2016. Air Qual Atmos Health 10(10):1269–1280. https://doi.org/10.1007/s11869-017-0513-9
Kolokotroni M, Giridharan R (2008) Urban heat island intensity in London: An investigation of the impact of physical characteristics on changes in outdoor air temperature during summer. Sol Energy 82(11):986–998 https://www.sciencedirect.com/science/article/abs/pii/S0038092X08001084
Li M, Zhou M, Yang J, Yin P, Wang B, Liu Q (2019) Temperature, temperature extremes, and cause-specific respiratory mortality in China: a multi-city time series analysis. Air Qual Atmos Health 12(5):539–548. https://doi.org/10.1007/s11869-019-00670-3
Lin TP, Matzarakis A (2008) Tourism climate and thermal comfort in Sun Moon Lake, Taiwan. Int J Biometeorol 52(4):281–290. https://doi.org/10.1007/s00484-007-0122-7
Lin TP, Chen YC, Matzarakis A (2017) Urban thermal stress climatic mapping: Combination of long-term climate data and thermal stress risk evaluation. Sustain Cities Soc 34:12–21 https://www.sciencedirect.com/science/article/abs/pii/S2210670716307223
Liu L, Zhang Y (2011) Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sens 3(7):1535–1552 https://www.mdpi.com/2072-4292/3/7/1535/htm
Matzarakis A, Mayer H (1996) Another kind of environmental stress: thermal stress. WHO Newsletters 18:7–10
Matzarakis A, Rutz F (2005) Application of RayMan for tourism and climate investigations. Ann Meteorol 41(2):631–636 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.632.3070&rep=rep1&type=pdf
Matzarakis A, Mayer H, Iziomon MG (1999) Applications of a universal thermal index: physiological equivalent temperature. Int J Biometeorol 43(2):76–84. https://doi.org/10.1007/s004840050119
Meteorology (2019) Ministry of forestry and water affairs. General Directorate of Meteorology. Meteorological data covering the years of 2019 for the province of Kahramnamaras.
Nairn JR, Fawcett RJ (2015) The excess heat factor: a metric for heatwave intensity and its use in classifying heatwave severity. Int J Environ Res Public Health 12(1):227–253 https://www.mdpi.com/1660-4601/12/1/227
Nowak DJ, Walton JT, Dwyer JF, Kaya LG, Myeong S (2005) The increasing influence of urban environments on US forest management. J For 103(8):377–382 https://academic.oup.com/jof/article/103/8/377/4598671
Roth M, Oke TR, Emery WJ (1989) Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology. Int J Remote Sens 10(11):1699–1720. https://doi.org/10.1080/01431168908904002
Sahabi Abed S, Matzarakis A (2017) Seasonal regional differentiation of human thermal comfort conditions in Algeria. Adv Meteorol 2017:1–14 https://www.hindawi.com/journals/amete/2017/9193871/
Santos Nouri A, Costa JP, Santamouris M, Matzarakis A (2018) Approaches to outdoor thermal comfort thresholds through public space design: a review. Atmosphere 9(3):108 https://www.mdpi.com/2073-4433/9/3/108
Thom EC (1959) The Discomfort Index. Weather Wise 12:57–60
Zeren Cetin I, Sevik H (2020) Investigation of the relationship between bioclimatic comfort and land use by using GIS and RS techniques in Trabzon. Environ Monit Assess 192(2):71. https://doi.org/10.1007/s10661-019-8029-4
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Cetin, M. Climate comfort depending on different altitudes and land use in the urban areas in Kahramanmaras City. Air Qual Atmos Health 13, 991–999 (2020). https://doi.org/10.1007/s11869-020-00858-y
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DOI: https://doi.org/10.1007/s11869-020-00858-y