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Assessment of the climate potential for tourism. Case study: the North-East Development Region of Romania

Abstract

For the North-East Development Region of Romania, balneary-climatic tourism can potentially become a development engine. To this type of tourism, other forms or types of tourism are added, which are to some extent conditioned by the regional particularities of the climate and bioclimate. To better understand the climatic conditioning on the tourism in this region, we have selected five representative balneary-climatic resorts, located in three different bioclimatic zones: tonic-stimulant (Vatra Dornei), sedative-indifferent (Slănic Moldova, Târgu Ocna, and Bălţăteşti), and turn-applicant (Nicolina). The location under different bioclimatic conditions allowed us a good comparative analysis of the differences and similarities between the resorts. For this, we used an hourly database for the period January 1, 1961 to December 31, 2015, from which we built the daily database for all the elements and parameters required to calculate the physiologically equivalent temperature index, based on the RayMan model, its representations, and the climate-tourism schemes. The physiologically equivalent temperature and the climate-tourism schemes allowed us to identify the best periods of the year for conducting balneary and climate-therapeutic activities—both adjacent and standalone, or a variety of relaxing or recreational leisure activities conducted in the open. Finally, the trends of the annual series of PET data for the interval 1961–2015 and the subintervals 1961–1980 and 1981–2015 were identified and analyzed. We were consequently able to draw a set of conclusions outlining a series of changes that are likely to intervene in the relationship between climate and tourism in this region in the immediate future.

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References

  • Abegg B (1996) Klimaänderung und Tourismus. Schlussbericht NFP 31. vdf Hochschul-verlag AG an der ETH Zürich

  • Algeciras ARJ, Consuegra GL, Matzarakis A (2016) Spatial-temporal study on the effects of urban street configurations on human thermal comfort in the world heritage city of Camagüey-Cuba. Build Environ 101:85–101

    Article  Google Scholar 

  • Allen RG, Periera LS, Raes D, Smith M (1998) Crop evapotranspiration: guideline for computing crop water requirement. FAO Irrigation and drainage Paper No. 56. FAO, Rome

  • Amiranashvili AG, Chargazia KZ, Matzarakis A (2014) Comparative Characteristics of the Tourism Climate Index in the South Caucasus Countries Capitals (Baku, Tbilisi, Yerevan), Journal of the Georgian Geophysical Society Issue (B). Physics of Atmosphere, Ocean, and Space Plasma, v.17b, 14–25

  • Baaghideh M, Mayvaneh F, Shekari A, Shojaee T (2016) Evaluation of human thermal comfort using UTCI index: case study Khorasan Razavi, Iran Natural Environment Change. Summer & Autumn 2(2):165–175

  • Basarin B, Kržič A, Lazić L, Lukić T, Đorđević J, Janićijević Petrović B, Ćopić S, Matić D, Hrnjak I, Matzarakis A (2014) evaluation of bioclimate conditions in two special nature reserves in Vojvodina (northern Serbia). Carpathian J Earth Environ Sci, 2014, Vol. 9, No. 4, 93–108

  • Becken S (2010) The importance of climate and weather for tourism: literature review. Lincoln University, LEaP, Land Environment and People Miscellaneous Publications, 23 pp.

  • Besancenot JP (1974) Premieres donnees sur les stress bioclimatiques moyens en France. Annales de geogr. Nr. 459, LXXXIII, sept.-oct.

  • Besancenot JP (1991) Clima y Turismo. Masson, Barcelona

  • Błażejczyk K, Jendritzky G, Bröde P, Fiala D, Havenith G, Epstein Y, Psikuta A, Kampmann B (2013) An introduction to the universal thermal climate index (UTCI). Geogr Pol 86(1):5–10

    Article  Google Scholar 

  • Błażejczyk K, Kuchcik M, Błażejczyk A, Milewski P, Szmyd J (2014) Assessment of urban thermal stress by UTCI – experimental and modelling studies: an example from Poland. Journal of the Geographical Society of Berlin 145(1–2):16–33

    Google Scholar 

  • Brosy C, Zaninović K, Matzarakis A (2014) Quantification of climate tourism potential of Croatia based on measured data and regional modeling. Int J Biometeorol 58:1369–1381. https://doi.org/10.1007/s00484-013-0738-8

    Article  Google Scholar 

  • Çalışkan O, Matzarakis A (2012) The climate and bioclimate of Nevşehir from the perspective of tourism, Advances in Meteorology, Climatology and Atmospheric Physics, 397–402

  • Çalişkan O, Çiçek I, Matzarakis A (2012) The climate and bioclimate of Bursa (Turkey) from the perspective of tourism. Theor Appl Climatol 107:417–425

    Article  Google Scholar 

  • Cengiz T, Akbulak C, Caliskan V, Kelkit A (2008) Climate comfortable for tourism: a case study of Canakkale. BALWOIS 2008, Macedonia, 1 - 9

  • De Freitas CR (2001) Theory, concepts and methods in climate tourism research. In:Matzarakis a, De Freitas CR (eds) proceedings of the first InternationalWorkshop on climate, tourism and Recreation 3–20

  • 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

    Article  Google Scholar 

  • De Freitas CR, Scott D, McBoyle G (2008) A second generation climate index for tourism (CIT): specification and verification. Int J Biometeorol 52:399–207

    Article  Google Scholar 

  • Endler Ch OK, Matzarakis A (2010) Vertical gradient of climate change and climate tourism conditions in the Black Forest. Int J Biometeorol 54:45–61. https://doi.org/10.1007/s00484-009-0251-2

    Article  Google Scholar 

  • Eurostat Statistics Explained (2016), GDP at regional level, http://ec.europa.eu/eurostat/statistics-explained/index.php/GDP_at_regional_level

  • Fang Y, Yin J (2015) National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index. Atmosphere 6:183–194. https://doi.org/10.3390/atmos6020183

    Article  Google Scholar 

  • Fanger PO (1972) Thermal comfort. McGraw Hill, new York VDI (1998) methods for the human biometeorological evaluation of climate and air quality for the urban and regional planning. Part I: climate. VDI guildline 3787. Part 2. Beuth, Berlin

  • Farajzadeh H, Matzarakis A (2009) Quantification of climate for tourism in the northwest of Iran. Meteorol Appl 16:545–555

    Article  Google Scholar 

  • Farajzadeh H, Matzarakis A (2012) Evaluation of thermal comfort conditions in Ourmieh Lake, Iran. Theor Appl Climatol 107:451–459

    Article  Google Scholar 

  • Farajzadeh H, Saligheh M, Alijani B, Matzarakis A (2015) Comparison of selected thermal indices in the northwest of Iran, Natural Environment Change. Summer & Autumn 1(1):61–80

  • Froehlich D and Matzarakis A (2015) Estimation of human-biometeorological conditions in south West Germany for the assessment of mitigation and adaptation potential, ICUC9 - 9th international conference on urban climate jointly with 12th symposium on the urban environment

  • Gómez Martín MB (2004) An evaluation of the tourist potential of the climate in Catalonia (Spain): a regional study. Geogr Ann 86A:249–264

    Article  Google Scholar 

  • Gómez Martín MB (2005) Weather, climate and tourism. A geographical perspective. Ann Tour Res 32(3):571–591

    Article  Google Scholar 

  • Hamilton J, Lau M (2005) The role of climate information in tourist destination choice decision-making. In: Gossling S, Hall CM (eds) Tourism, recreation and climate change. Routledge, London, pp 229–250

    Google Scholar 

  • Höppe P (1999) The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol 43:71–75

    Article  Google Scholar 

  • IPCC (2007) In: Solomom S, Quin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) climate change 2007: the scientific base–contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

  • Joksimović M, Gajić M, Golić R, (2013) Tourism climatic index in the valorisation of climate in tourist centers of Montenegro.Bulletin of the Serbian Geographical Society, Tome XCIII - Nо 1, DOI: https://doi.org/10.2298/GSGD1301015J

  • Katerusha O, Matzarakis A (2015) Thermal bioclimate and climate tourism analysis for Odessa, Black Sea. Geogr Ann: Ser A, Phys Geogr xx:1–9. https://doi.org/10.1111/geoa.12107

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London

    Google Scholar 

  • Kovács A, Unger J (2014) Analysis of tourism climatic conditions in Hungary considering the subjective thermal sensation characteristics of the south-Hungarian residents. Acta Climatologica et Chorologica, Universitatis Szegediensis, Tomus pp 47-48: 77–84

  • Kovács A, Kantor N, Egerhazi LA (2014) Assessment of thermal sensation of residents in the southern great plain, Hungary. In: Pandi G, Moldovan F, (eds) air and water components of the environment. Babeș-Bolyai University, Cluj-Napoca, Romania, 354–361

  • Kovács A, Unger J, Gál CV, Kántor N (2015) Adjustment of the thermal component of two tourism climatological assessment tools using thermal perception and preference surveys from Hungary. TheorApplClimatol. https://doi.org/10.1007/s00704-015-1488-9

  • Kozak N, Uysal M, Birkan I (2008) An analysis of cities based on tourism supply and climatic conditions in Turkey. Tour Geogr 10(1):81–97

    Article  Google Scholar 

  • Lin TP, Matzarakis A (2008) Tourism climate and thermal comfort in sun moon Lake, Taiwan. Int J Biometeorol 51:281–290

    Article  Google Scholar 

  • Lise W, Tol RSJ (2002) Impact of climate on tourism demand. Clim Chang 55:429–449

    Article  Google Scholar 

  • Maddison D (2001) In search of warmer climates? The impact of climate change on flows of british tourists. Clim Chang 49:193–208

    Article  Google Scholar 

  • Mann HB (1945) Non-parametric tests against trend. Econometrica 13:245–259

    Article  Google Scholar 

  • Matzarakis A (1999) Assessing urban climate – problems and solutions from the point of view of human-biometeorology. In: de Dear, R.J. and Potter, J.C. (eds), Proceedings of the 15th international congress of Biometeorology & International Conference on urban climatology. COMPM2.3, 1–6

  • Matzarakis A (2006) Weather- and climate-related information for tourism. Tour Hosp Plan Dev 3:99–115

    Article  Google Scholar 

  • Matzarakis A (2007) Assessment method for climate and tourism based on daily data. In: Matzarakis A, De Freitas CR, Scott D (eds) Developments in tourism climatology. 52–58

  • Matzarakis A (2010) Climate change: temporal and spatial dimension of adaptation possibilities at regional and local scale. In: Schott C (ed) tourism and the implications of climate change: issues and actions, Emerald Group. Bridging Tourism Theory and Practice, 3:237–259

  • Matzarakis A (2012) Transferring climate information for application and planning – the climate-tourism/transfer information-scheme. In: Helmis C.G., Nastos P. (Eds.) advances in meteorology, climatology and atmospheric physics. Springer Atmospheric Sciences, Springer, 1, 591–597

  • Matzarakis A (2014) Transfer of climate data for tourism applications-the climate-tourism/transfer-information-scheme. Sustain Environ Res 24:273–280

    Google Scholar 

  • Matzarakis A, Mayer H (1996) Another kind of environmental stress: thermal stress. WHO Newslet 18:7–10

    Google Scholar 

  • Matzarakis A, Nastos PT (2011) Analysis of tourism potential for Crete Island. Greece Global NEST J 13(2):141–149

    Google Scholar 

  • Matzarakis A, Mayer H, Iziomon MG (1999) Applications of a universal thermal index: physiological equivalent temperature. Int J Biometeorol 43:76–84

    Article  Google Scholar 

  • Matzarakis A, Rutz F, Mayer H (2000) Estimation and calculation of the mean radiant temperature within urban structures. In: de Dear, R.J., Kalma, J.D., Oke, T.R. and Auliciems, A. (eds), Biometeorology and urban climatology at the turn of the millennium: selected papers from the conference ICB-ICUC’99, Sydney. Geneve WCASP-50, WMO/TD No. 1026. 273–278

  • Matzarakis A, Rutz F, Mayer H (2007) Modeling radiation fluxes in simple and complex environments - application of the RayMan model. Int J Biometeorol 51:323–334

    Article  Google Scholar 

  • Matzarakis A, Rutz F, Mayer H (2010a) Modelling radiation fluxes in simple and complex environments – basics of the RayMan model. Int J Biometeorol 54:131–139

    Article  Google Scholar 

  • Matzarakis A, Schneevoigt T, Matuschek O, Endler C (2010b) Transfer of climate information for tourism and recreation-the CTIS software. In: Matzarakis a, Mayer H, Chmielewski FM (eds) proceedings of the 7th Conference on Biometeorology. Berichte des Meteorologischen Instituts der Universität Freiburg, 20: 392–397

  • Matzarakis A, Hämmerle M, Koch E, Rudel E (2012) The climate tourism potential of alpine destinations using the example of Sonnblick, Rauris and Salzburg. Theor Appl Climatol 110:645–658

    Article  Google Scholar 

  • 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 114:193–202

    Article  Google Scholar 

  • Matzarakis A, Endler C, Nastos PT (2014) Quantification of climate-tourism potential for Athens, Greece – recent and future climate simulations. Global NEST J 16(1):43–51

    Google Scholar 

  • Mayer H, Höppe P (1987) Thermal comfort of man in different urban environments. Theor Appl Climatol 38:43–49

    Article  Google Scholar 

  • Mieczkowski Z (1985) The tourism climatic index: a method for evaluating world climates for tourism. Can Geogr 29:220–233

    Article  Google Scholar 

  • Mihăilă D, Bistricean PI (2018) The suitability of Moldova climate for balneary - climatic tourism and outdoor activities - a study based on the Tourism. Climate Index, DOI https://doi.org/10.2478/pesd-2018-0021, PESD, VOL. 12, no. 1, 2018, 263–282

  • Morgan R, Gatell E, Junyent R, Micallef A, Özhan E, Williams A (2000) An improved user-based beach climate index. J Coast Conserv 6:41–50

    Article  Google Scholar 

  • Nastos PT, Bleta AG, Matsangouras IT (2016) Human thermal perception related to Föhn winds due to Saharan dust outbreaks in Crete Island, Greece. Theor Appl Climatol. https://doi.org/10.1007/s00704-015-1724-3

  • National Institute of Statistics (2015) http://statistici.insse.ro/shop/index.jsp?page=tempo2&lang=ro&context=63

  • Németh Á (2013) Estimation of tourism climate in the Lake Balaton region. Hungary J Environ Geogr 6(1–2):49–55. https://doi.org/10.2478/v10326-012-0006-0ISSN:2060-467X

    Article  Google Scholar 

  • Németh Á, Schlanger V, Katona Á (2007) Variations of thermal bioclimate in the Lake Balaton tourism region (Hungary) developments in tourism climatology – Matzarakis a, de Freitas C R, Scott D

  • Pappenberger F, Jendritzky SH, Dutra E, Di Giuseppe F, Richardson DS, Cloke H (2014) Global forecasting of thermal health hazards: the skill of probabilistic predictions of the Universal. Int J Biometeorol. https://doi.org/10.1007/s00484-014-0843-3

  • Perry AH (2000) Impacts of climate change on tourism in the Mediterranean: adaptive responses. 35.2000, Fondazione Eni Enrico Mattei 1380. Int J Biometeorol (2014) 58:1369–1381

    Google Scholar 

  • Perry AH (2001) More heat and drought–can Mediterranean tourism survive and prosper? In:Matzarakis a, de Freitas CR (eds) proceedings of the first international workshop on climate, tourism and recreation pp 35–40

  • Piticar A, Mihăilă D, Lazurca LG, Bistricean PI, Puţuntică A, Briciu A-E (2015) Spatiotemporal distribution of reference evapotranspiration in the Republic of Moldova. Theor Appl Climatol. https://doi.org/10.1007/s00704-015-1490-2

  • Ramezani BG, Palic M (2012) Recognition of monthly human bioclimatic comfort with tourism climate index in Ramsar, south-west of Caspian Sea, Iran. AGD Landscape Environment 6(1):1–14

    Google Scholar 

  • Romanian Statistical Yearbook, National Institute of Statistics (2015), p. 684, http://www.insse.ro/cms/sites/default/files/field/publicatii/anuarul_statistic_al_romaniei_1.pdf

  • Romanian Tourism Statistical Abstract, (2016) National Institute of Statistics, p. 68, http://www.insse.ro/cms/sites/default/files/field/publicatii/turismul_romaniei_2016.pdf

  • Salmi T, Maatta A, Anttila P, Ruoho-Airola T, Amnell T (2002) Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen’s slope estimates – The Excel template application MAKESENS. Publications on Air Quality 31: Report Code FMIAQ-31

  • Scott D (2011) Why sustainable tourism must address climate change. J Sustain Tour 19:17–34

    Article  Google Scholar 

  • Scott D, McBoyle G, Schwartzentruber M (2004) Climate change and the distribution of climatic resources for tourism in North America. Clim Res 27:105–117

    Article  Google Scholar 

  • Scott D, de Freitas CR, Matzarakis A (2009) adaptation in the tourism and recreation sector. Biometeorology for adaptation to climate variability and change. Springer Science + Business Media B.V

  • Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389

    Article  Google Scholar 

  • Shiue I, Matzarakis A (2011) Climate and tourism in the hunter region, Australia in the early 21st century. Int J Biometeorol 55:565–574

    Article  Google Scholar 

  • Teodoreanu E, Mihăilă D (2012a) Is the bioclimate of Suceava plateau comfortable or uncomfortable? Analysis based on TEE and THI. Pres Environ Sust Dev 6(1):205–217. http://pesd.ro/articole/nr.6/20IBSPCUABTT02062012205218.pdf. Accessed July 1, 2017

  • Teodoreanu E, Mihăilă D (2012b) Is the bioclimate of the Suceava plateau comfortable or uncomfortable? Analysis based on wind cooling power index and skin and lung stress index. Pres Environ Sust Dev 6(1):229–251. http://pesd.ro/articole/nr.6/22IBSPCUABWCISLSI02062012229252.pdf. Accessed July 1, 2017

  • VDI (Verein Deutscher Ingenieure), 1998. VDI 3787, part I: environmental meteorology, methods for the human biometeorological evaluation of climate and AirQuality for the urban and regional planning at regional level. Part I: Climate. Beuth, Berlin. 29 pp.

  • Vitt R, Gulyás Á, Matzarakis A (2015) Temporal differences of urban-rural human biometeorological factors for planning and tourism in Szeged, Hungary, Hindawi Publishing Corporation, Advances in Meteorology, Article ID 987576

  • Yang J, Zhang Z, Li X, Xi J, Feng Z (2017) Spatial differentiation of China’s summer tourist destinations based on climatic suitability using the universal thermal climate index. Theor Appl Climatol:1–16. https://doi.org/10.1007/s00704-017-2312-5

  • Zaninović K (ed) (2008) Klimatski atlas Hrvatske Climate atlas of Croatia 1961–1990, 1971–2000. ZT Zagraf, Zagreb

    Google Scholar 

  • Zaninović K, Matzarakis A (2007a) Biometeorological basis for Croatian tourism. In: Matzarakis A, de Freitas CR, Scott D (eds) Developments in tourism climatology. 24–28

  • Zaninović K, Matzarakis A (2007b) Climatic changes in thermal comfort at the Adriatic coast. In: Amelung B, Blazejczyk K, Matzarakis A (eds) Climate change and tourism: assessment and coping strategies. 155–164

  • Zaninović K, Matzarakis A (2009) The bioclimatological leaflet as a means conveying climatological information to tourists and the tourism industry. Int J Biometeorol 53:369–374

    Article  Google Scholar 

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Mihăilă, D., Bistricean, PI. & Briciu, AE. Assessment of the climate potential for tourism. Case study: the North-East Development Region of Romania. Theor Appl Climatol 137, 601–622 (2019). https://doi.org/10.1007/s00704-018-2611-5

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