[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 32, Number 2 (9-2017) ::
geores 2017, 32(2): 21-39 Back to browse issues page
Preparing Iran’s Bioclimatic Map by Using the Predicted Mean Vote Index
Dr Bakhtiyar Mohammadi 1, Dr Parvin Mohammadkhani2, Dr Mohammad Hossein Gholizadeh1
1- Assistant Professor, Department of Climatology University of Kurdistan, Sanandaj, Iran
2- . M. Sc, Department of Climatology University of Kurdistan, Sanandaj, Iran
Abstract:   (141 Views)
Awareness of bioclimatic conditions of a place, is an appropriate guide for a lot of human activities. This study aims to determine the bioclimatic conditions in Iran, using the Predicted Mean Vote index. In order to analyze Iran’s bioclimatic conditions, daily data on variables such as air temperature, relative humidity, water vapor pressure, wind speed and cloudiness in 193 synoptic stations were used. Firs, the bioclimatic condition of each station was analyzed separately. Then a database of bioclimatic conditions of all studied stations (with dimensions of 193 * 366) was created. Using this database, the bioclimatic conditions of Iran were interpolated by Kriging method on a daily basis. The results showed that Iran’s bioclimatic conditions in spatial and temporal scales are highly variable. Such that regions of Iran can experience very cold to hot bioclimatic conditions during the year. Such diversity can be seen in Iran, at a specific time. On average, warm climate (fairly warm, warm, very warm and hot), climatic comfort conditions, and cold climate (a little cool, cool, cold and very cold) account for 51, 13 and 36% of Iran’s regions respectively. However, in each month, one of these bioclimatic conditions have normally been dominant in Iran. For example, in November and April, many parts of Iran have experienced bioclimatic comfort. Among the various bioclimatic conditions, cool, comfortable and fairly warm climate have simultaneously affected a region or different regions in Iran during the year
Keywords: Bioclimate, Climatic comfort, Krigng, Predicted Mean Vote index (PMV)
Full-Text [PDF 1225 kb]   (112 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/09/2 | Accepted: 2017/09/2 | Published: 2017/09/2
1. Ataei, H., Hashemi Nasab, S. (2012), Comparative evaluation of human ecosystems in Isfahan using TRJ methods, TCI, PET, PMV, Regional Studies and Research, Fourth Year, No. 14, pp. 63-82. (in Persian).
2. Caliskan. O., Cicek, I., Matzarakis, A. (2012), The climate and bioclimate of Bursa (Turkey) from the perspective of tourism. Theor Appl Climatol, 108, pp. 417-425.
3. Cao, B., Luo, M., Li, M., Zhu, Y. (2016), Too cold or too warm? A winter thermal comfort study in different climate zones in china. Energy and Buildings 133, pp. 469-477.
4. Cendrowska, K. L. (2013), Assessment of bioclimatic conditions in cities for tourism and recreational purposes (a Warsaw case study), Geographia Polonica, 86, pp. 55-66.
5. Fanger, P.O. (1972), Thermal comfort. McGraw-Hill, New York.
6. Farjzadh, M., Ahmadabadi, A. (2009), Evaluation and classification of tourism climate in Iran using Tourism climate index (TCI), Physical Geography Research, No. 71, pp. 31-42. (in Persian).
7. Givoni, B., Noghuchi, M., Saaroni, H., Pochter, O., Yaacov, Y., Feller, N., Becker, S., (2003), Outdor comfort research issues. Energy and Building, 35, pp. 77-86.
8. Hartz, D., Brazel, A., Golden, J. (2013), A comparative climate analysis of heat-related emergency 911 dispatches: Chicago, Illinois and Phoenix, Arizona USA 2003 to 2006, International Journal of Biometeorology, Vol. 57, Issue 5, pp. 669-678.
9. Honjo, T. (2009), Thermal Comfort in Outdoor Environment, Global Environmental Research, 13/2009:43-47.
10. Kotopouleas, A, Nikolopoulou, M. (2016), Thermal comfort conditions in airport terminals: indoor or transition spaces, Building and environment 99, pp. 184-199.
11. Kruger, E., Drach, P., Emmanuel, R., Corbella, O. (2013), Assessment of daytime outdoor comfort levels in and outside the urban area of Glasgow, UK, International Journal of Biometeorology, Vol. 57, Issue 4, pp. 521-533.
12. Matzarakis, A. (2001), Climate and bioclimatic information for the tourism in Greece Proceedings of the 1st International workshop on climate, tourism and recreation International society of biometeorology, commission on climate.
13. Matzarakis, A., Rammelberg, J. Junk, J. (2013), Assessment of thermal bioclimate and tourism climate potential for central Europe, the example of Luxembourg, Theor Appl Climatol, 114, pp. 193-202.
14. Mohammadi, H., Saeedi, A. (2008), Effective Biological Climate Indicators on the Assessment of Human Comfort. Case Study: Qom City, Journal of Environmental Studies, Vol. 44, No. 47, pp. 73-86. (in Persian).
15. Mohammadi, B. (2014), An Estimation and Spato-Temporal Analysis of Climatic Comfort Conditions in Kurdistan Province. Geographical Research, Vol. 29 No. 2, pp. 169-187. (in Persian).
16. Nadeem, Z., Gandomkar, A., Abbasi, A. (2016), Comparison of Quantitative Meteorological Indices of Tourism for Thermal Measurement of the Environment. Quarterly Journal of Tourism, Vol. 5, No. 18, pp. 44-58. (in Persian).
17. Nastos, PT., Matzarakis, A. (2012), The effect of air temperature and human thermal indices on mortality in Athens, Greece, Theoretical and Applied Climatology 108 (3-4), pp. 591-599.
18. Omonijo, A.G., Adeofun, C.O., Oguntoke, O., Matzarakis, A. (2013), Relevance of thermal environment to human health: a case study of Ondo State, Nigeria, Theoretical and Applied Climatology Vol. 113, No. 1-2, pp. 205-212.
19. Pantavou, K., Theoharatos, G., Nikolopoulos, G., Katavoutas, G., Asimakopoulos, D. (2008), Evaluation of thermal discomfort in Athens territory and its effect on the daily number of recorded patients at hospitals’ emergency rooms, International Journal of Biometeorology , Vol. 52, Issue 8, pp. 773-778.
20. Pourvahidi, P., Ozdeniz, M.B. (2013), Bioclimatic analysis of Iranian climate for energy conservation in architecture. Scientific Research and Essays, 8(1), pp. 6-16.
21. Scott, D., McBoyle, G., Schwartzentruber, M. (2004), Climate Change and the Distribution of Climatic Resources for Tourism in North America, Climate Research, No, 7, pp. 105–117.
22. Tavuosi, T., Sabzi, B. (2013), Bio-Climatic comfort confine determination for tourism planning using Evans model, case study: Ilam province, Geography and territorial spatial arrangement, Vol. 3, No. 7, pp. 21-34. (in Persian).
23. Yang, B., Olofsson, T., Niar, G., Kabanshi, A. (2017), Outdoor thermal comfort under subarctic climate of north Sweden- a pilot study in Umea, sustainable cities and society, Vol. 28, pp. 387- 397.
24. Yu, Y., Baizhan, L., Hong, L., Meilan, T., Runming, Y. (2015), A study of adaptive thermal comfort in a well-controlled climate chamber, applied thermal engineering, pp. 283-291.
25. Zolfaghari, H. (2007), To determine the appropriate schedule for circulation in Tabriz in discussing physiological equivalent temperature (PET) and poll average predicted (PMV), Journal of Geographical Researches, No. Winter, pp. 129-141. (in Persian).
Send email to the article author

Add your comments about this article
Your username or email:

Write the security code in the box >

DOI: 10.18869/acadpub.geores.32.2.21

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohammadi B, Mohammadkhani P, Gholizadeh M H. Preparing Iran’s Bioclimatic Map by Using the Predicted Mean Vote Index. geores. 2017; 32 (2) :21-39
URL: http://georesearch.ir/article-1-213-en.html
Volume 32, Number 2 (9-2017) Back to browse issues page
فصلنامه تحقیقات جغرافیایی Geographical Researches Quarterly Journal
Persian site map - English site map - Created in 0.047 seconds with 817 queries by yektaweb 3471