Journals / Turkish Journal of Agriculture and Forestry / 2013 / Cilt: 37 - Sayı: 1

Mapping of thermal comfort for outdoor recreation planning using GIS: the case of Isparta Province (Turkey)

Pages
110–120
Publication Date
2013-01-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The contributions that TPMs offer for planning the most appropriate areas and periods for outdoor recreation are described.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a model for the physical planning process of thermal comfort (TC), which is very important for outdoor recreation planning, using thermal perception maps (TPMs).
📊
Key Findings & Data:To determine the TC structure of the province, climatic data were collected from 16 meteorology stations.
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Conclusion & Impact:The contributions that TPMs offer for planning the most appropriate areas and periods for outdoor recreation are described.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Key words: Isparta · physiological equivalent temperature · recreational planning

Abstract

This study presents a model for the physical planning process of thermal comfort (TC), which is very important for outdoor recreation planning, using thermal perception maps (TPMs). For this purpose, a TPM of Isparta Province was produced according to the physiologically equivalent temperature (PET) index from climatic data of the province. To determine the TC structure of the province, climatic data were collected from 16 meteorology stations. The RayMan 1.2 program was used to obtain the monthly PET values of the stations, and the inverse distance weighted interpolation technique in geographic information system (GIS) software was used to produce monthly PET maps and a TPM of the province. The most comfortable months and regions for outdoor recreation activities were identified by TPM according to the PET values. These months and regions are listed in order, beginning with the most comfortable, as follows: the entire province, with the exception of the towns of Eğirdir, Keçiborlu, Barla, and Kumdanlı-Hoyran in May; the towns of Keçiborlu, Eğirdir, Uluborlu, Yalvaç, Kumdanlı-Hoyran, and Şarkikaraağaç in September; Barla and Keçiborlu in June; and October for the town of Kasımlar. The contributions that TPMs offer for planning the most appropriate areas and periods for outdoor recreation are described.

Özet

This study presents a model for the physical planning process of thermal comfort (TC), which is very important for outdoor recreation planning, using thermal perception maps (TPMs). For this purpose, a TPM of Isparta Province was produced according to the physiologically equivalent temperature (PET) index from climatic data of the province. To determine the TC structure of the province, climatic data were collected from 16 meteorology stations. The RayMan 1.2 program was used to obtain the monthly PET values of the stations, and the inverse distance weighted interpolation technique in geographic information system (GIS) software was used to produce monthly PET maps and a TPM of the province. The most comfortable months and regions for outdoor recreation activities were identified by TPM according to the PET values. These months and regions are listed in order, beginning with the most comfortable, as follows: the entire province, with the exception of the towns of Eğirdir, Keçiborlu, Barla, and Kumdanlı-Hoyran in May; the towns of Keçiborlu, Eğirdir, Uluborlu, Yalvaç, Kumdanlı-Hoyran, and Şarkikaraağaç in September; Barla and Keçiborlu in June; and October for the town of Kasımlar. The contributions that TPMs offer for planning the most appropriate areas and periods for outdoor recreation are described.

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Cite This Article

TOPAY, M. (2013). Mapping of thermal comfort for outdoor recreation planning using GIS: the case of Isparta Province (Turkey). Turkish Journal of Agriculture and Forestry, Cilt: 37 - Sayı: 1, 110–120. https://ajindex.com/articles/179876

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References (14)

  1. Akten S (2009) Korunan Doğal Alanlarda Ziyaretçi Etki Yönetim Yaklaşımı (Gölcük Tabiat Parkı Örneği). Yüksek Lisans Tezi. Süleyman Demirel Üniversitesi, Fen Bilimleri Enstitüsü, p. 159. Alcoforado MJ, Andrade H, Lopes A, Vasconcelos J (2009) Application of climatic guidelines to urban planning: the example of Lisbon (Portugal). Landscape Urban Plan 90: 56– ASHRAE (1966)
  2. Thermal Comfort Conditions, ASHRAE Standard 55–66,
  3. American Society of Heating, Refrigerating, and Air Conditioning Engineers, New York. Baud-Bovy M, Lawson F (1998) Tourism and Recreation Handbook of Planning and Design. Architectural Press,
  4. Oxford. Bell S (2001)
  5. Design for Outdoor Recreation. Spon, London. Brandenburg C, Arnberger A (2001) The influence of the weather upon recreation activities. In: Proceedings of the First International Workshop on Climate, Tourism and Recreation (Eds. A Matzarakis, CR de Freitas), ISB, Greece, pp. 123–132.
  6. Braun OL, Lohmann M, Maksimovic O, Meyer M, Merkovic A, Messerschmidt E, Reidel A, Turner M (1999) Potential impact of climate change effects on preferences for tourism destination: a psychological pilot study. Clim Res 11: 247–254.
  7. Brown RD, Gillespie TJ (1995) Microclimatic Landscape Design. John Wiley & Sons, New York, USA. de By RA (2001) Principles of GIS. ITC Educational Textbook Series, Enschede, the Netherlands. de Freitas CR (2003) Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector. Int J Biometeorol 48: 45–54.
  8. DMİ (2010) Isparta İli İklim Verileri. Devlet Meteoroloji İşleri, Ankara.
  9. Eliasson I (2000) The use of climate knowledge in urban planning. Landscape Urban Plan 48: 31–34.
  10. Eliasson I, Knez I, Westerberg U, Thorsson S, Lindberg F (2007) Climate and behaviour in a Nordic city. Landscape Urban Planning 82: 72–84.
  11. Fanger PO (1973) Assessment of man’s thermal comfort in practice. Br J Ind Med 30: 313–324.
  12. Fukuoka Y (1997) Biometeorological studies on urban climate. Int J Biometeorol 40: 54–57. Gómez F, Tamarit N, Jabaloyes J (2001) Green zones, bioclimatic studies and human comfort in the future development of urban planning. Landscape Urban Plan 55: 151–161.
  13. Gourbi BR (2010) The zoning of human bioclimatic comfort for ecotourism planning in Gilan, Iran-south west of Caspian Sea. Aust J Basic Appl Sci 4: 3690–3694.
  14. Gül A, Örücü ÖK, Karaca Ö (2006) An approach for recreational suitability analysis to recreational planning in Gölcük Nature Park. Environ Mana