جغرافیا و برنامهریزی محیطی (Jan 2013)
The Determine of the Mashad Bioclimatic Condition Base on Hourly Data
Abstract
Extended Abstract1-IntroductionHumans have been aware that weather and climate affect health and well being. Hippocrates, 2.500 years ago, wrote about regional differences of climate and their relationship to states of the health (matzarakis, 2007). In the several decades past, heat balance models of the human body have become more and more accepted in the assessment of thermal comfort. The basis for these models is the human energy balance equation. One of the first and still very popular heat balance models is the comfort equation defined by Fanger (1972).Bioclimatology data applied to the planning for architect, health and medical, exercise and tourism and vacations Climate-comforting conditions usually are expressed by indexes which a series of meteorological, human and environmental factors have been played a role in, and the possibility of comparison among different places is provided by several thermal indices such as Predicted Mean Vote (PMV), Physiologically Equivalent Temperature (PET) and Standard Effective Temperature (SET*) may be calculated for the assessment of human bioclimate in a physiologically relevant manner as shown in several applications (Matzarakis et al., 1999; Blazejczyk, Matzarakis, 2007;etc). All indices have the known grades of thermal perception for human beings and physiological stress (Höppe, 1999). PET is defined as a certain air temperature related to fixed standard indoor conditions at which the heat balance of the human body is maintained with core and skin temperature equal to those under the conditions being assessed..In this research, PET index has used for hourly bioclimatology assessment (06, 12 and 16 UTC) in the Mashhad city. This city is the second population city and religious capital in Iran that located to the north east in Iran. 2- MethodologyIn this research, great and population Mashad city have been selected for investigations comfortable climatic condition. We have used from The PET index in scale hourly time (06, 12 and 16 UTC) from 20 years period (1988-2007).The pet index derived the Munich energy balance model for individuals” (MEMI) (Höppe 1993) is such a thermo-physiological heat balance model. It is the basis for the calculation of the physiologically equivalent temperature (PET).In detail the MEMI model is based on the energy balance equation (9.1) for the human body: M +W + R +C + E D + E Re + E Sw + S = 0The individual heat flows in Eq. 9.1, are controlled by the following meteorological parameters (Verein Deutscher Ingenieure 1998; Höppe 1999):– Air temperature: C, Ere – Air humidity: ED, ERe, ESw – Wind velocity: C, ESw – Mean radiant temperature: RThermo-physiological parameters are required in addition:– Heat resistance of clothing (clo units) – Activity of humans (in WattThe following assumptions are made for the indoor reference climate:– Mean radiant temperature equals air temperature (Tmrt = Ta).2– Air velocity (wind speed) is fixed at v = 0.1 m/s. 3– Water vapor pressure is set to 12 hPa (approximately equivalent to a relative humidity of 50% at Ta = 20°C).In this research, the calculations of PET index have been done using Reymen 2.1 software. Addition of Bioclimatic assessment (climate comfort, heat stress and cold stress) calculated frequency physical event (contain precipitation, frost, storm …) and aesthetic event(cloudy, sunshine and ...) that effect on the comfort climate3- DiscussionAccording to the obtained result, bioclimatic condition in Mashhad is very deferent in the through year. Though Mashhad experienced extreme cold stress during the winter season, never the less in the June and July was very heat stress. Comfortable climate period for 9:30 and 15:30 local time in Mashhad is short and located in the second separated period in the early spring and autumn .however; the first period is longer than the second period.During to the hours study, the most of the comfortable climate condition has been done with 59 frequency in to 21:30 hour. In addition, the number of comfortable climate calculated for 9:30, ,15:30 and 21:30 local time respectively is 38, 46 , 59 days . the most of the cold stress frequency recorded with 44 percent (160 day) in the 21:30 hour and 9:30 with 24 percent of frequency that is located to the second grade.And the lowest month index in annual curve is occurred on 21:30 hour that is located in the below of curves (9:30, 15:30 and daily curves). This deferent is great in summer season (approximate 10 °C).4- Conclusions According to the obtained results of this research, the comfortable climate period in Mashhad for 09:30 and 15:30 local time is short and located in the second separated period in the early spring and autumn. totally of the comfortable climate days (18<PET<23) calculated for 09:30 ,15:30 and 21:30 local time respectively 38 , 46 and 59 day.Also the number of cold stress (PET<18) for hours studied ,calculated respectively 169,188 and 305 day and finally number of heat stress obtained 139,150 and 0 days.Key word: physiologic equivalent temperature index, comfortable climate , bioclimatic, human energy balance equations , Mashhad bioclimatic ReferencesBlazejczyk K (1994) new climatological-and-physiological model of the human heat balance outdoor (MENEX) and its applications in bioclimatological studies in different scales. [in:] Blazejczyk K, Krawczyk B, Bioclimatic research of the human heat balance. Zeszyty IGiPZ PAN, 28 pp. 27-58.Brown R D, Gillespie T J (1986) Estimating outdoor thermal comfort using a cylindrical radiation thermometer and an energy budget model. Int J Biometeorol, 30, 1: 43-52.Budyko M I, Cicenko G V (1960) Climatic factors of thermal sensations in humans. (In Russian), Izv AN SSR, Geogr, 3: 3-11.De Freitas, C.R. (2001) Theory, concepts and methods in climate tourism research. Proceedings ofthe first international workshop on climate, tourism and recreation. (Ed.) A. Matzarakis and C.R. de Freitas. International Society of Biometeorology, Commission on Climate Tourism and Recreation. 3-20de Freitas C R (1985) Assessment of human bioclimate based on thermal response. Int J Biometeorol, 29: 97-119.Fanger, P. O. (1972). Thermal comfort. New York: McGraw Hill.Gagge, A. P., Fobelets, A. P., & Berglund, L. G. (1986). A standard predictive index of human response to the thermal environment. ASHRAE Transactions, 92,709e731.Gulya sa, Agnes, Ja nos Ungera, Andreas Matzarakis(2006), Assessment of the microclimatic and human comfort conditions in a complex urban environment: Modelling and measurements, journal of Building and Environment 41 (2006) 1713–1722Hoppe P (1984) Die Energiebilanz des Menschen. Wiss Mitt Met Inst Univ Munchen, 49.Hoppe P (1999) The Physiological Equivalent Temperature-aUniversal Index for the Biometeorological Assessment of the Thermal Environment. Int. J.Biometeorology. 43:71-75.Hwang, Ruey-Lung, Tzu-Ping Lin b, Andreas Matzarakis(2010) Seasonal effects of urban street shading on long-term outdoor thermal comfort , journal of Building and Environment, doi:10.1016/j.buildenv.2010.10.017Jendritzky G (1990) Bioklimatische Bewertungsgrundlage der Räume am Beispiel von mesoskaligen Bioklimakarten, [in:] Schirmer H (ed), Methodik zur räumlichen Bewertung der thermischen Komponente im Bioklima des Menschen, ARL Hannover, 114, pp. 7-69.Jendritzky, G Birger Tinz (2009), The thermal environment of the human being on the global scale, Global Health Action 2009. 2009 Gerd Jendritzky and Birger Tinz. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported LicenseLin ,Tzu-Ping and Andreas Matzarakis (2011), Tourism climate information based on human thermal perception in Taiwan and Eastern China, Journal of Tourism Management, 32 (2011) 492-500Lin, T. P and Richard de Dearb and Ruey-Lung Hwangc. (2010). Effect of thermal adaptation on seasonal outdoor thermal comfort. INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. (2010) Published online in Wiley InterScienceMatzarakis, A., 2007: Assessment method for climate and tourism based on daily data. In: A. Matzarakis, C. R. de Freitas, D. Scott (Eds.), Developments in Tourism Climatology, 52-58 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, tourism and recreation. 171-182Matzarakis, A., Mayer, H., & Iziomon, M. G. (1999). Applications of a universal thermal index: physiological equivalent temperature. International Journal of Biometeorology, 43, 76e84Matzarakis, A., Rutz, F., Mayer, H., (2007) Modelling radiation fluxes in simple and complex environments—application of the RayMan model. International Journal of Biometeorology 51, 323-334.Mieczkowski, Z. (1985). The tourism climate index: a method for evaluating world climates for tourism. The Canadian Geographer, 29, 220e233.Moreno, Alvaro and Amelung, Bas (2009) 'Climate Change and Tourist Comfort on Europe's Beaches in Summer: A Reassessment', Coastal Management, 37: 6, 550 — 568, First published on: 01 November 2009 (iFirst)Nielsen B, Kassow K, Aschengreen F E (1988) Heat balance during exercise in the sun.Europ J Appl Physiolog, 58: 189-196.Olgay,v,1973,design with climate ,Princeton university press.,p.185Siple PA, Passel CF (1945) Measurements of dry atmospheric cooling in subfreezing temperatures. Proc Am Philos Soc 89:177–199Shiue, Ivy and Andreas Matzarakis, Estimation of the tourism climate in the Hunter Region, Australia, in the early twenty-first century, International journal of biometeorology DOI 10.1007/s00484-010-0369-2Spagnolo J, de Dear R(2003)A field study of thermal comfort in outdoor and semi-outdoor environments in subtropical Sydney Australia. Building and Environment;38:721–38.Steadman, R. G. (1979). The assessment of sultriness. Part I. A temperature humidity index based on human physiology and clothing science. Journal of Applied Meteorology, 18, 861e873Terjung, W.H.1968., World Patterns of the Monthly Comfort Index. International journal of biometeorology, vol., 12, n. 2, pp .119 –123, 141.Thom EC (1959) The discomfort Index. Weatherwise 12:57–60VDI (1998) Methods for the human-biometerological assessment of climate and air hygiene for urban and regional planning.Part I: Climate. VDI guideline 3787. Part 2. Beuth, BerlinThomson,Madeleine C.Garcia-Herrera Ricardo, Beniston Martin (2008) Seasonal forecasts, climatic change and human health: health and climate , Springer Science + Business Media B.V,232 pagesThorsson, Sofia , Maria Lindqvist ,Sven Lindqvist (2004), Thermal bioclimatic conditions and patterns of behaviour in an urban park in G_teborg, Sweden , International Journal of Biometeorology, 48:149–156Vanos , Jennifer K & Jon S. Warland & Terry J. Gillespie , Natasha A. Kenny(2010), Review of the physiology of human thermal comfort while exercising in urban landscapes and implications for bioclimatic design, International Journal of Biometeorology, 54:319–334VDI. (1998). Methods for the human biometeorological evaluation of climate and air quality for the urban and regional planning. Part I: Climate. VDI guideline 3787.Part 2. Berlin: Beuth.
