Abstract
Investigation of temperature extremes is very important as one of the most important climate parameters in different parts. If exposed to enough heat, humans will suffer from extreme heat. Maximum temperature and heat can adversely affect many living organisms. The effects of extreme heat on people with chronic lung disease, including asthma and emphysema, are greater; even for people with healthy lungs, outdoor activities are not recommended during high ozone levels. The purpose of this study is to monitor and analyze the effects of atmospheric temperature extreme and extreme heat on human health in Central Iran. Therefore, the minimum and maximum data of 15 synoptic stations in the study area for the period (1988–2018) using hybrid artificial neural network (HANN) and adaptive neuro-fuzzy inference system (ANFIS) models were used. Finally, multi-criteria decision-making (MCDM) models TOSIS and SAW were used to prioritize the areas exposed to rising temperature. The results showed that according to ANFIS modelling for predicting extreme temperatures, the lowest mean training error and the mean error of validation for the minimum temperature were equal to 0.10 for the Yazd Station and 1.66% for the Damghan station. The lowest mean training error and the mean error of validation for the maximum extreme temperature obtained 0.016 for the Garmsar station and 9.39% for the Shahroud station. The maximum extreme temperature of two stations of Garmsar and Bafgh (1 and 0.9689, respectively) was more exposed to extreme temperatures based on the TOPSIS model. Garmsar and Salafchegan Stations (1 and 0.9873, respectively) were more exposed to extreme temperatures based on the SAW model. Climate change is fundamentally changing the Earth’s climate system in a way that directly and indirectly endangers human physical and mental health. Severe increase in temperature is directly associated with death from cardiovascular and respiratory diseases, especially in the elderly. Also in the study area, the house is a place for peace and comfort for every human being. Climatic and weather conditions have a direct impact on creating a sense of comfort in any architectural space. Proper heating and air conditioning in the interior of the building is another case of architecture that will not be easy because this architectural issue is related to the comfort or non-comfort of man, and the concepts of heat or cold are mostly due to the natural feeling of man and his physiological conditions. The rising trend of thermal stresses in the studied stations increases the need to pay attention to the issue of thermal stresses and the spread of diseases (heat attack, syncope, and muscle cramps) in terms of crisis planning and management.
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References
Ahmadi M, Lashkari H, Keikhosravi GH, Azadi M (2015) Analysis of extreme temperature indicators in detection of Great Khorasan climate change. J Geogr 45:53–75 (In Persian)
Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A, RupaKumar K, Revadekar J, Griffiths G, Vincent L, Stephenson DB, Burn J, Aguilar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M, Vazquezaguirre JL (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res 11:360–375. https://doi.org/10.1029/2005JD006290
Alijani B, Farajzadeh H (2015) Trend analysis of the extreme temperature indices in northern Iran. J Geogr Plann 52:256–229 (In Persian)
Alijani B, Mahmoudi P, Saligheh M, Rigi CH (2011) Study of variations of annual minimum and maximum temperatures in Iran. J Geogr Res 3:101–122 (In Persian)
Anne Marie E, Dong H, Philomena MB (2020) First results of self-reported health and comfort of staff in outpatient areas of hospitals in the Netherlands. Build Environ 177:106–871. https://doi.org/10.1016/j.buildenv.2020.106871
Asadi A, Masoudian A (2014) Investigation of spatio-temporal distribution of extreme temperatures in Iran. J Environ Res 9:72–59 (In Persian)
Ataei M (2010) Multiple Criteria Decision, 1st edn. Shahroud University Press, Shahrood (In Persian)
Azizi GH, Miri M, Rahimi M (2015) Identification of effective synoptic patterns in the formation of temperature anomalies in Iran and Europe. Natural Geogr Res 1:91–104 (In Persian)
Baltagi BH (2005) Econometric Analysis of Panel Data 3rd Edition, New York. John Wiley Son 2:13–26
Borna R, Igin J (2015) Study of the trend of changes in extreme climate indices (temperature and precipitation) in southwest of Iran. J Nat Geosci 28:43–63 (In Persian)
Bozyurt O, Ozdemir M (2014) The relations between north Atlantic Oscillation and minimum temperature in Turkey, procedia – social and behavioral, 12: 532-537. https://doi.org/10.1016/j.sbspro.2014.02.133.
Caroline H, Sukumar N, Chunde L, Woong J. C, Manuel H. 2019. Winter thermal comfort and health in the elderly. Energy Policy, 134: 110-954. https://doi.org/10.1016/j.enpol.2019.110954
Co HC, Boosarawongse R (2007) Forecasting Thailand’s rice export: statistical techniques vs artificial neural networks. Comput Ind Eng 53:610–627
Dalaei H, FarajzadehAsl M, Gandomkar A, Nami M.H. 2015. Iran’s climate security based on extreme temperature indices. J Geogr, 46: 137-154. (In Persian)
Daneshmand H, Tavousi T, Khosravi M, Tavakoli S (2015) Modeling minimum temperature using adaptive neuro – fuzzy inference system based on spectral analysis of climate indices: a case study in Iran. Journal of the Saudi society of agricultural sciences 14:33–40. https://doi.org/10.1016/j.jssas.2013.06.001
David RE (1997) Maximum and minimum temperature trend for the Glob. Science 227:123–203. https://doi.org/10.1126/science.277.5324.364
Dimri A, Kumar D, Choudhary A, Maharana P (2018) Future changes over the Himalayas maximum and minimum temperature. 162:212–234. https://doi.org/10.1016/j.gloplacha.2018.01.015
Emanuele N, Daniel Sang HL, Kristian F (2017) Thermal Comfort-CFD maps for Architectural Interior Design. Procedia Eng 180:110–117. https://doi.org/10.1016/j.proeng.2017.04.170
Erfanian M, Ansari H, Alizadeh A, Banayan A.M. 2017. Estimation of frequency relationships, continuity and return period of climate extreme indexes in Khorasan Razavi Province. J Geogr Res, 1:50-37. (In Persian)
Erica AL, Grete W, Barry F, Elaine H (2020) Spatial exploration of the CDC’s Social Vulnerability Index and heat-related health outcomes in Georgia. International Journal of Disaster Risk Reduction 46:101–517. https://doi.org/10.1016/j.ijdrr.2020.101517
Gadgil A, Dhorde A (2004) Temperature trends in the twentieth century at PUNE India. Atmos Environ 39:6550–6556. https://doi.org/10.1016/j.atmosenv.2005.07.032
Ghavidel RY, Farajzadehasl M, Alijahan M (2017) The role of Earth’s temperature abnormalities in the variability of the minimum temperatures of Iran. J Geogr Plann 59:243–261 (In Persian)
Grieser J, Tromel C, Schonwiese D (2002) Statistical time series decomposition into significant components and application to European temperature, theor, appl, climatic. 71:171–183. https://doi.org/10.1007/s007040200003
Guillaume R, Johannes F, Alessandro D, Simona P, Hy D, Martinvan M (2019) Influence of changes in socioeconomic and climatic conditions on future heat-related health challenges in Europe. Glob Planet Chang 172:45–59. https://doi.org/10.1016/j.gloplacha.2018.09.013
Gujarati DN (2003) Basic econometrics 4th edition. New York: McGraw-Hill 3:10–36
Hansen J, Rurdy M, Lo R, Lea D, Elizade M (2006) Global temperature change. Science 39:14288–11429. https://doi.org/10.1073/pnas.0606291103
Huanga S, Huanga Q, Changa J, Zhua Y, Lengb G (2015) Drought structure based on a nonparametric multivariate standardized drought index across the Yellow River basin, China. J Hydrol 530:127–136
Jinglu S, Bo H, Joon SK, Jiahong W, Rongrong L (2020) Fine-scale mapping of an evidence-based heat health risk index for high-density cities: Hong Kong as a case study. Sci Total Environ 718:137–226. https://doi.org/10.1016/j.scitotenv.2020.137226
Karampour M, Yarahmadi E (2015) Average and absolute maximum temperature zoning of Iran. Journal of Geography and Regional Development 2:67–88 (In Persian)
Kenar KO, Soleimanjahi H, Fallahi SH, RiahiMadvar H, Meshkat Z (2010) The application of the new intelligent adaptive nero fuzzy inference system (ANFIS) in prediction of human papilloma virus oncogenic potency. J Arak Univ Med Sci 4:95–105 (In Persian)
Khorshid DAM, Rasouli AA, Salajegheh A, Nasajizavareh M (2016) Homogeneity assessment of annual and seasonal maximum and minimum temperature series. J Geogr Plann 57:133–149 (In Persian)
Khoshakhlagh F, Gharibi E, Shafiei ZH (2011) Changes in absolute minimum temperatures in Iran. J Geogr Environ Plann 2:199–216 (In Persian)
Makvandi R, Maghsoodol K, Mohammadfam I (2012) Utilization of TOPSIS Mult-criteria decision making model in environmental impact assessment of oil refineries (case study: Khuzestan Super Heavy Oil Refinery). J Environ Res 3:77–86 (In Persian)
Maria LC, Marcia RF, Asher K (2019) Strategies for thermal comfort in university buildings - the case of the faculty of architecture at the Federal University of Bahia, Brazil. J Environ Manag 239:114–123. https://doi.org/10.1016/j.jenvman.2019.03.004
Marofnejad A, Ghasemi SH (2017) Trend of temperature variations using Mann-Kendall method. J Manage Syst 37:149–166 (In Persian)
Martell M, Rodríguez F, Castilla M, Berenguel M (2020) Multiobjective control architecture to estimate optimal set points for user comfort and energy saving in buildings. ISA Trans 99:454–464. https://doi.org/10.1016/j.isatra.2019.10.006
Mohammadi H, Miri M, Rahimi M, Tayebi S (2013) Effect of temperature on cotton water requirement in Sabzevar city. Territory Geography 40:15–30 (In Persian)
Nazmfar H, Alibakhshi A (2014) Spatial inequality measurement in using educational indices using TOPSIS method (case study: Khozestan Province). J Educ Plann Stud 3:115–134 (In Persian)
Pandey K, Chandrakar C, Singh S, Maurya D, Gupta G (2017) Identification of most important weeks on minimum temperature for wheat crop. International Journal of current microbiology and applied sciences 6:788–794. https://doi.org/10.20546/ijcmas.2017.602.087
Pedram M, Ghaemi H, Hedayati A, Mortazavi A (2011) Snowfall and its relationship with temperature in Kurdistan Province. Geogr Res 27:55–70 (In Persian)
Qiaohong S, Chiyuan M, Martin H, Alistair G. L, Borth w, Qingyun D, Duoying J, Hu L. 2019. Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming. Environ Int, 128: 125-136. https://doi.org/10.1016/j.envint.2019.04.025
Rahimzadeh F, Askari A, Fattahi I, Mohammadian N, Taghipour A (2017) Trend of extreme temperature indices in Iran during the period of 1951-2003. Geogr Res 2:119–144 (In Persian)
Rao B, Chowdary S, Sandeep V, Rao V, Venkateswarlu B (2014) Rising minimum temperature trends over India in recent decades: implications for agricultural production. 11:1–8. https://doi.org/10.1016/j.gloplacha.2014.03.001
Rashid KH, Mohammadian DH (2015) The study of environmental psychology in tall buildings with sustainable architecture approach. Architecture Research 5:102–105. https://doi.org/10.5923/j.arch.20150503.03
Sadeghi F, Ataei H, Hashemi NS (2013) Identification and prediction of changes in Iran’s minimum temperature trend pattern. Journal of Geography and Environmental Hazards 8:33–48 (In Persian)
Safarianzengir V, Sobhani B (2020) Simulation and analysis of natural hazard phenomenon, drought in southwest of the Caspian Sea, IRAN. Carpathian Journal of Earth and Environmental Sciences 15:127–136. https://doi.org/10.26471/cjees/2020/015/115
Safarianzengir V, Sobhani B, Asghari S (2019) Modeling and monitoring of drought for forecasting it, to reduce natural hazards atmosphere in western and north western part of Iran, Iran. Air Qual Atmos Health 2019:119–130. https://doi.org/10.1007/s11869-019-00776-8
Seulkee H, Michelle L, Bell J, Tae L (2019) Comparison of health risks by heat wave definition: applicability of wet-bulb globe temperature for heat wave criteria. Environ Res 168:158–170. https://doi.org/10.1016/j.envres.2018.09.032
Singh D, Jain S, Gupta R (2015) Trend in observed and projected maximum and minimum temperature over Himalayan basin, Journal of mountain science, 12: 417-433. DOI: 0000-0002-0017-2764.
Sobhani B, Goldost.A. (2016) Investigation of temperature variation and evaluation of its prediction in Ardebil province based on statistical methods and comparative Neuro-Fuzzy Inference System (NFIS). Appl Geosci Res 42:27–40 (In Persian)
Sobhani B, Safarianzengir V (2019a) Modeling, monitoring and forecasting of drought in south and southwestern Iran. Iran Modeling Earth Systems and Environment 5:63–71. https://doi.org/10.1007/s40808-019-00655-2
Sobhani B, Safarianzengir V (2019b) Investigation hazard effect of monthly ferrrin temperature on agricultural products in north bar of Iran. Iraqi J Agric Sci 50:320–330
Sobhani B, Safarianzengir V (2020) Evaluation and zoning of environmental climatic parameters for tourism feasibility in northwestern Iran, located on the western border of Turkey. Modeling Earth Systems and Environment, (2020). https://doi.org/10.1007/s40808-020-00712-1
Sobhani B, Salahi B, Goldost A (2014) Relationship of NAO climate index with mean, maximum and minimum monthly temperatures of northwest of Iran. J Appl Geosci Res 33:75–90 (In Persian)
Sobhani B, Safarianzengir V, Kianian MK (2018) Potentiometric mapping for wind turbine power plant installation Guilan province in Iran. J Appl Sci Environ Manag 22:1363–1368. https://doi.org/10.4314/jasem.v22i8.36
Sobhani B, Safarianzengir V, Kianian MK (2019a) Drought monitoring in the Lake Urmia basin in Iran. Arab J Geosci 12:448. https://doi.org/10.1007/s12517-019-4571-1
Sobhani B, Safarianzengir V, Kianian MK (2019b) Modeling, monitoring and prediction of drought in Iran. Iranian (Iranica) J Energy Environ 10:216–224. https://doi.org/10.5829/ijee.2019.10.03.09
Sobhani B, Safarianzengir V, Miridizaj F (2019c) Feasibility study of potato cultivating of Ardabil province in Iran based on VIKOR model. Revue Agric 10:92–102
Sobhani B, Jafarzadehaliabad L, Safarianzengir V (2020) Investigating the effects of drought on the environment in northwestern province of Iran, Ardabil, using combined indices. Iran Model Earth Syst Environ 2020a:983–993. https://doi.org/10.1007/s40808-020-00733-w
Sobhani B, Safarianzengir V, Yazdani MH (2020b) Modelling, evaluation and simulation of drought in Iran, southwest Asia. J Earth Syst Sci 129:100 (2020). https://doi.org/10.1007/s12040-020-1355-7
Tanarhte M, Hadjinicolaou P, Lelievehd J (2012) Intercomparison of temperature and precipitation data sets based on observations in the Mediterranean and the middle East, Journal of Geophysical research atmospheres, 117. DOI. https://doi.org/10.1029/2011JD17293
Tao F, Xiao D, Zhang SH, Zhang Z, Rotter R (2017) Wheat Yield benefited from increases in minimum temperature plain of china. Agric For Meteorol 23:1–14. https://doi.org/10.1016/j.agrformet.2017.02.033
Tohidi AH, Zaremehrjerdi MR, Mehrabi H, Abadipour H (2015) Estimation of artificial neural network-data panel hybrid model in estimating Iran’s dried fruits export prices. J Quant Econ 12:95–116 (In Persian)
Turkesh M, Sumer M, Dernirj I (2002) Revealuation of trends and change in mean, maximum and minimum temperature of Turkey for period 1991-1999. International Journal of climatology 22:947–977. https://doi.org/10.1002/joc.777
Varshavian V, Khalili A, Nozar GH, Hejam S (2011) Investigating trend of extreme variations of minimum, maximum and mean daily temperature in different climates of Iran. J Phys Earth Space 1:169–179 (In Persian)
Vincent W, Zhang X, Lucie A, Hogg, D, Ain N (2000) Temperature and precipitation trends in Canada during the 20th century, climate research branch, meteorological service of Canada, 22: 395-417. DOI: https://doi.org/10.1080/07055900.2000.9649654.
Yuting C, ShihChun CL, JingShiang H (2019) New approach to identifying proper thresholds for a heat warning system using health risk increments. Environ Res 170:282–292. https://doi.org/10.1016/j.envres.2018.12.059
Zander SV, Norun HK, David NB (2020) Linking green infrastructure to urban heat and human health risk mitigation in Oslo, Norway. Sci Total Environ 709:136–193. https://doi.org/10.1016/j.scitotenv.2019.136193
Zhe S, Huaqiang J, Jiangping G, Yuejin H, Xinlei W, Hua Y, Xi S (2020) Studies on the online intelligent diagnosis method of undercharging sub-health air source heat pump water heater. Appl Therm Eng 169:114–957. https://doi.org/10.1016/j.applthermaleng.2020.114957
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The authors would like to thank the I.R. of Iran Meteorological Organization (IRIMO) for providing the meteorological data for this study.
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Kolvir, H.R., Madadi, A., Safarianzengir, V. et al. Monitoring and analysis of the effects of atmospheric temperature and heat extreme of the environment on human health in Central Iran, located in southwest Asia. Air Qual Atmos Health 13, 1179–1191 (2020). https://doi.org/10.1007/s11869-020-00843-5
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DOI: https://doi.org/10.1007/s11869-020-00843-5