Effects of climate on tourism in Qazvin province based on Physiological Equivalent Temperature (PET) model

Number of pages: 120 File Format: word File Code: 29719
Year: 2014 University Degree: Master's degree Category: Geography - Urban Planning
  • Part of the Content
  • Contents & Resources
  • Summary of Effects of climate on tourism in Qazvin province based on Physiological Equivalent Temperature (PET) model

    Dissertation for M.Sc degree

    Natural geography-climate field

    Chapter one

    Research overview

    Introduction

    Tourism is one of the largest industries in the world that is growing rapidly. For many regions, tourism is the most important source of income, and for other regions, the economic return from tourism is very high (Masoompour, Khosh Akhlaq). According to the prediction of the World Tourism Organization, by 2020, international tourism will reach 1.6 million people and the resulting financial turnover will be more than 2 trillion dollars worldwide (WTO, 1988). Many countries consider this dynamic industry as the main source of income for creating employment in the private sector and for cultural and human exchanges and the development of the infrastructure structure (Rashidnia, Gandhamkar, 2013: 2).

    Today, the tourism industry as a dynamic and comprehensive industry includes all the elements of existence of a garment and global systems. Tourism in its original sense from the 19th century is with originality and motivation, not aimless trips and plans. Basically, tourism is based on the wishes and will of nations. Government organizations and the private sector are the only planners of these purposeful trips, who must plan according to public wishes so that tourism can be carried out in the best way (Tawakli and Goldi Sharaf Seyed, 1388: 44). The development of tourism services not only highlights the regional originalities, but also benefits from its results in maintaining and organizing these originalities and also in creating the optimal balance of the resource and its appropriate use for the preservation and maintenance and growth and development of natural and national resources, and at the same time it benefits from the economic benefits of the related transportations (Mikaili, 2019: 22). Many factors affect the tourism industry, one of the most important of which is weather.

    Weather and climate play an important role in tourism and the success of a tourist destination. (Bingo, Hamilton & Tol, 2006:915) due to the fact that the climate is a very important parameter in choosing a tourist destination, and the climate significantly affects the program of tourism agencies during different seasons. Suitable climate and climatic comfort increase the number of tourists in the tourist attraction areas. On the other hand, climate and weather can also cause an increase in the total cost. (for example, an increase in energy consumption in cooling devices during the hot season) Also, climate changes have a direct effect on tourism centers that rely on nature (Scott, Jonse & Konepek, 2007:572). And human bioclimatic (bioclimatic) comfort depends on the thermal balance of the human body with the surrounding environment. A range of temperatures in which heat distribution is satisfactory is called the human comfort zone. From the point of view of physical activity and human comfort, no climate can be assumed to be absolutely favorable or unfavorable. Therefore, comfort cannot be 100% constant in an area and it changes relatively for people according to age, health, physical activity, race, amount of clothing and also based on different seasons of the year and people's adaptation to the environment (Mohammadi, 2016). On the other hand, the temperature balance between the human body and the environment is different inside and outside the building, and comfort and convenience are important in both environments. Physiological equivalent temperature model examines the conditions of human climatic comfort both in the interior of buildings and in the exterior with regard to the type of covering and human activity. Therefore, the phiriological equivalent temperature model is more efficient and complete among the models presented regarding human climate comfort. The tourism industry of the province needs to evaluate the climate as one of the main sources of tourism, and therefore the tourism climate of the province has been evaluated using the physiological equivalent temperature model in the GIS environment in order to determine its strengths and potentials. It is one of the important sources of income generation and at the same time one of the effective factors in cultural exchanges between countries.. For this reason, local researchers and experts are interested in investigating the role of tourism in economic and social development (Albalate and Bel, 2009:426). Also, weather is directly related to personal comfort for tourists. Individual comfort means a set of conditions that are suitable for at least 80% of people from a thermal point of view (Qabadian and Faiz Mahdavi 2010). One of the information needed by tourists for traveling is the climatic conditions of the destination, and most of the tourists consider climatic considerations to choose a tourist destination. Climate is very important from the point of view of tourism planning, and tourists are usually looking for a favorable climate or a comfortable climate in which a person does not feel any dissatisfaction or lack of thermal and climatic comfort, and this factor plays an important role in deciding on a tourist destination (Matzarakis, 2001:172). Therefore, proper information and understanding of weather conditions can support travelers and vulnerable groups and play an important role in making decisions about their destinations.

    For this purpose and to better examine the impact of climate on tourism, various models have been presented so far. Among them, it is possible to use the indicators related to human physiology, which are derived from the energy balance equation of the human body, which today have gained more credibility in human bioclimatic studies as well as tourism meteorology (Matzarakis, 2001:36). One of the efficient models related to this index is the physiological equivalent temperature model or PET. which has this advantage over other tourism climate models that not only considers the ambient temperature inside the building but also the ambient temperature outside the building for the comfort of tourists. Also, this model has the ability to check the type of activity and clothing of the tourist in the comfort level.

    According to the above issues and the climatic diversity of Qazvin province, which has an area of ??about 15820 square kilometers and is located between 48 and 45 minutes to 50 degrees east longitude and 35 degrees and 37 minutes to 36 degrees and 45 minutes north latitude, and due to the different topographical structure that brings different climatic conditions to The way that its climate is associated with an obvious fluctuation, in which cold and mountainous weather can be seen in the north and dry and semi-arid weather in the central areas, so it is possible to identify the best time and place for tourists according to the PET model and the potentials in different places in the province and with proper planning. What are they?

    1-4- Research hypothesis

    According to the topography of the study area, the physiological equivalent temperature model suggests different time periods for tourist activities.

    1-5- Research objectives

    Implementation of the physiological equivalent temperature model in order to better understand the tourism activity potential of Qazvin province

    Zoning the tourism climate of the province based on the physiological equivalent model according to the local talents in the area Study

    1-6- Research method

    Obtaining the required climatic data from the synoptic stations of the province and control

    Checking the accuracy of the collected data

    Checking the climatic conditions of the study area based on one of the common classification methods

    Executing the PET model on a monthly scale

    Generating the layers of information needed in the physiological equivalent model for regional tourism climate zoning Studies

    Interpretation of PET model output data in the study area

    1-7- Research limitations

    There were many limitations in the writing of this thesis, the main ones of which are listed below.

    The problem of accessing external resources: In addition to the low speed of the Internet, downloading foreign books requires paying a high fee. For example, the virtual purchase of a volume of a scientific book on "climate comfort" requires 40 to 50 dollars.

    Climatic data deficiency: the number of synoptic stations with high statistical period in the study area is extremely low.

  • Contents & References of Effects of climate on tourism in Qazvin province based on Physiological Equivalent Temperature (PET) model

    List:

    Abstract

    1

    Chapter 1- Generalities of the research -

    2

    1-1- Introduction-

    3

    1-2- Outline of the problem and necessity of the research -

    5

    1-3- Research question -

    6

    1-4- Research hypothesis -

    6

    1-5- Research objectives -

    6

    1-6- Research method -

    6

    1-7- Research limitations -

    7

    1-8- Research background -

    7

    1-7-1- Research background in the world -

    8

    1-7-2- Research background in Iran -

    9

    Chapter Two - Theoretical foundations -

    10

    2-1- Introduction -

    11

    2-2- The importance of tourism in the global economy -

    12

    2-3- Tourism culture -

    13

    2-4- Tourism in Iran -

    14

    2-5 The relationship between tourism and the environment -

    15

    2-6 The relationship between tourism and climate -

    17

    2-6-1- Climate and the choice of tourism destination -

    17

    2-6-2- Aspects of tourism climate -

    18

    2-6-3- Climate and tourism needs -

    19

    2-6-4- Suitable conditions for tourism in summer and winter -

    20

    2-6-4-1- Winter season conditions -

    20

    2-6-4-2- Summer season conditions -

    21

    2-7- Comfort climate indices -

    21

    2-7-1- Elgi index (bio-climatic chart) -

    22

    2-7-2- Effective temperature ET (effective temperature) -

    22

    2-7-3- Tourism climate index TCI (Tourism climate index) -

    22

    2-7-4- Physiological indicators -

    23

    2-7-4-1- Physiological Equivalent Temperature Index (PET) -

    26

    2-8- Geographic Information System (GIS) -

    31

    2-8-1- GIS and Climate -

    32

    2-8-2- GIS and tourism -

    32

    Chapter 3- Geographical features of the region -

    33

    3-1- Introduction -

    34

    3-2- Geographical location -

    34

    3-3- Topography -

    37

    3-4- The climate of the region -

    40

    3-4-1- The approach of some climatic parameters in the study area-

    41

    3-4-1-1 Temperature -

    42

    3-4-1-2- Relative humidity -

    46

    3-4-1-3- Precipitation -

    48

    3-4-1-4- Sunny hours -

    51

    3-4-2- Determining the climate of Qazvin province -

    54

    3-4-2-1- Determining the climate of the region based on Demartin's dryness coefficient -

    54

    3-4-2-2- Determining the climate of Qazvin province based on the climate of Amberje view -

    55

    3-4-3- Summary of the climate of Qazvin province -

    57

    3-5- Geological characteristics -

    59

    3-6- Status of water resources -

    59

    3-7- Vegetation -

    61

    Chapter Four - Materials and methods -

    62

    4-1- Introduction -

    63

    4-2- How to execute the model -

    63

    4-2-1 - Ray Man model -

    63

    4-2-2- Features of the study area and data extraction Meteorology

    65

    4-2-3- Entering data into the Ray Man model -

    67

    4-3- Data and software used -

    74

    Chapter five - Research findings -

    75

    5-1- Research method -

    76

    5-1-1- Entering information into the GIS environment-

    76

    5-1-2- Interpolation and analysis of data-

    76

    5-2- Research findings-

    77

    5-2-1- The state of tourism climate in the province based on the PET tourism index in winter -

    77

    January 5-2-1-1 (January 11 to February 12) -

    77

    February 5-2-1-2 (February 12 to March 11) -

    78

    March 5-2-1-3 (March 11 to April 11) -

    79

    5-2-1-4- Conclusions from PET conditions in winter -

    79

    5-2-2- Tourism climate of the province based on PET tourism index in spring -

    83

    5-2-2-1- April (April 11 to May 11) -

    83

    5-2-2-2- May (11 May to 11 June) -

    83

    5-2-2-3- June (11 June to 10 July)

    84

    5-2-2-4- Conclusions from PET conditions in the spring season -

    84

    5-2-3- The state of tourism climate in the province based on the PET tourism index in the summer season -

    88

    5-2-3-1- July (July 10 to August 10) -

    88

    5-2-3-2- August (10 August to 10 September) -

    88

    5-2-3-3- September (10 September to 9 October) -

    88

    5-2-3-4- Conclusions from PET conditions in the summer season -

    89

    5-2-4- The state of tourism climate in the province The basis of the PET tourism index in the fall season -

    5-2-4-1-October 93

    5-2-4-1- October (9 October to 10 November) -

    5-2-4-2- November (10 November to 10 December) -

    5-2-4-3- December (10 December to 11 December) -

    93

    5-2-4-4- Conclusion of PET conditions in autumn -

    94

    5-2-5- Result -

    98

    Sixth chapter- Conclusion and hypothesis testing -

    99

    6-1- Introduction -

    100

    6-2- Discussion and analysis of results -

    100

    3-5- Assumptions test -

    104

    5-4- Suggestions -

    106

    Sources and references -

    117

    .

    Source:

    Ebrahimi, Nasser. 1383. Climate assessment for Sardasht tourist, Climatology master's thesis, University of Tehran. Ahmadabadi, Ali. 1386. Evaluation of Iran's tourist climate using TCI index and its zoning using GIS. Master's Thesis, Tarbiat Modares University.

    General Directorate of Qazvin Meteorology 1378. Climatic zoning of Qarvin province using GIS, Meteorology Research Institute, Qazvin.

    Ismaili, Reza, Amir Gandhamkar and Majid Montazeri. 2019. Zoning of the comfortable climate of Razavi Khorasan using temperature-physiological index (PET). Climatology Research Journal. First and second issue: 114-100.

    Ismaili, Reza, Amir Gandamkar and Majid Nokhandan. 2018. Comfort evaluation of several main tourist cities of Iran using Physiological Equivalent Temperature Index (PET). Natural geography research. 75: 1-15.

    Alwani, Seyyed Mahdi and Masoume Pirouz Bakht. 1385: Tourism Management Process, Ghazal Publications, first edition, Tehran.

    Bahrini, Seyed Hossein and Keyvan Karimi. 1381. Collection of topics and methods of environmental urbanization. Iran Urban Planning and Architecture Studies and Research Center. Tehran.

    Baqaei, Moseib, Noorzi, Omid and Mohammad Chizari, 2014. Rural tourism is a source of income for villagers. Dehdariha Quarterly, No. 16:

    Papli Yazdi, Mohammad Hossein, and Mehdi Saqaei, 2015. Tourism (Nature and Concepts) Semat Publications, first edition, Tehran.

    Tavakoli, Morteza and Aman Goldi Sharaf Seyed. 2018. Nature tourism attractions with emphasis on Iran.  Sepehr Journal, 70: 44-47

    Rashidnia, Tahira and Amir Gandamkar. 2018. Investigating the climatic condition of Hamadan province in order to attract more tourists using the TCI index. Conference on tourism and sustainable development: 1-14

    Rezaei Mofard, Fereshte. 2018. The impact of climate on the tourism industry of Khorasan Razavi province based on the TCI index. Master's Thesis, Shahid Beheshti University

    Rahmani, Mohammad Taghi, 2013. Collection of topics and methods of urban planning: Geography. Iranian Urban Planning and Architecture Studies and Research Center, Tehran.

    Hejazizadeh, Zahra and Hiva Selgi and Hassan Hosseini Amini. 1391. Climate user in architecture and urban planning (Saqoz city), contemporary works publishing, first edition, Tehran.

    Khaldi, Shahriar. 1374. Applied Hydrology and Meteorology, Qoms Publication, first edition.

    Zulfaqari, Hassan. 2016. Determining the suitable time calendar for tourists in Tabriz using physiological equivalent temperature (PET) and predicted poll average (PMV). Geographical Researches, 62: 129-141

    Qazvin Province Program and Budget Organization, 2014. Qazvin Province National Development Document. Qazvin.

    Sangeri, Sara. 2017. ARC GIS practical guide, Abid Publications, Tehran.

    Shakoui, Hossein. 1354. An introduction to the geography of tourism, Publications of the Institute of Social Research and Human Sciences, number 15.

    Sheham, Afshin and Halida Dadfar, 1384. The geography of tourism in Iran, Tarawat Publications, commissioned by the Islamic Azad University, South Tehran branch, Tehran.

    Alijani, Bahloul. 1381. Synoptic Climatology, Semat Publications, first edition, Tehran.

Effects of climate on tourism in Qazvin province based on Physiological Equivalent Temperature (PET) model