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Temperature-Humidity Index described by fractal Higuchi Dimension affects tourism activity in the urban environment of Focşani City (Romania)

  • Ana-Maria Ciobotaru
  • Ion Andronache
  • Nilanjan Dey
  • Martina Petralli
  • Mohammad Reza Mansouri Daneshvar
  • Qianfeng Wang
  • Marko Radulovic
  • Radu-Daniel Pintilii
Original Paper
  • 8 Downloads

Abstract

The bioclimatic analysis in the context of urban environment and tourism activity is relatively new in Romania and highly important for the development of tourism. In the present study, the evidence of increasing air temperature by the Temperature-Humidity Index (THI) was conducted in the Focşani City, Romania, within the period of 17 years (2001–2017). Bioclimatic conditions were defined for this area by the relationship between air temperature, relative humidity, and THI. Tourism activities, such as nights spent in the city and arrivals of tourists in accommodations, were associated with the THI for the periods 2001–2016. As the THI values increased, higher tourist activity was recorded as measured by the overnight stays and arrivals in accommodations. The results of the bioclimatological analysis further revealed a high discomfort by the low winter temperatures and the high summer heat. The highest THI value, recorded in this period, was 38.5 °C in August 2017, while the lowest was − 6.8 °C, in January 2013. The bioclimatic comfort positively correlated with an increase in the number of arrivals and nights spent, in summer and in early autumn. In this paper, the analysis of THI in Focşani City (Romania) was used as a research example, to show that analysis of extreme temperatures can improve the future characterization of climatic events, its variability, and spatial pattern. Higuchi Dimension (D H ) was used for additional assessment of THI, in order to better define its annual and monthly THI complexity. The innovative results consist of using the D H to determine the degree of complexity of THI oscillations and their impact on tourism activity. This study reports tools that efficiently define periods when conditions are usually unfavorable for tourism. This information facilitates the decision to increase the tourist offer for this period and thus may help decision-makers in the management of regional tourism. This can be the basis for future studies on the prevention of negative effects caused by the extreme weather conditions.

Keywords

Bioclimatic analysis Temperature-Humidity Index Tourism activity 

Notes

Acknowledgements

We would like to thank Bahram Saghafian from the Soil Conservation and Watershed Management Research Institute, Iran, Hasan Tatli from Çanakkale Onsekiz Mart University, Department of Geography, Turkey, for advices and great comments, and Gerard van der Schrier from ECA&D for help and the quick response to our requests.

Funding information

This work was supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNCS-UEFISCDI, project number PN-II-RU-TE-2014-4-0835 and by a grant from the University of Bucharest—“Spatial projection of the human pressure on forest ecosystems in Romania” (UB/1365).

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • Ana-Maria Ciobotaru
    • 1
    • 2
    • 3
  • Ion Andronache
    • 1
    • 2
  • Nilanjan Dey
    • 4
  • Martina Petralli
    • 5
    • 6
  • Mohammad Reza Mansouri Daneshvar
    • 7
  • Qianfeng Wang
    • 8
    • 9
    • 10
  • Marko Radulovic
    • 11
  • Radu-Daniel Pintilii
    • 1
    • 2
    • 3
  1. 1.Research Center for Integrated Analysis and Territorial ManagementUniversity of BucharestBucharestRomania
  2. 2.Research Institute of the University of Bucharest (ICUB)BucharestRomania
  3. 3.Faculty of GeographyUniversity of BucharestBucharestRomania
  4. 4.Department of Information TechnologyTechno India College of TechnologyKolkataIndia
  5. 5.Centre of BioclimatologyUniversity of FlorenceFlorenceItaly
  6. 6.Department of Agrifood Production and Environmental Sciences, DISPAAUniversity of FlorenceFlorenceItaly
  7. 7.Department of Geography and Natural HazardsResearch Institute of Shakhes PajouhIsfahanIran
  8. 8.College of Environment and ResourcesFuzhou UniversityFuzhouChina
  9. 9.Key Lab of Spatial Data Mining & Information SharingMinistry of Education of ChinaFuzhouChina
  10. 10.Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster ProtectionFuzhouChina
  11. 11.Institute for Oncology and Radiology, Laboratory of Cancer Cell BiologyBelgradeSerbia

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