جستجوی مقالات مرتبط با کلیدواژه "dynamic model" در نشریات گروه "جغرافیا"

Geotourism is one of the branches of sustainable tourism that focuses on geological features and natural landscapes of a region. Tourism has various forms and types that are related to geography and tourism. The purpose of this research is to investigate and analyze the potentials of geomorphosites and geomorphological destinations in West Azarbaijan province using dynamic models and national parks. For this purpose, the geotourist areas of Band, Marmisho and Rajan are identified and the geomorphosite potentials are identified. The geomorphological purposes of those areas were evaluated. In this research, Violet's model has been used And for this purpose, we examine the geotourist areas of Bandh, Rajan, and Marmisho based on four criteria: origin of formation, geographical distribution, tourism, and access status. The results obtained from Fiolet's model showed that the geotourist area of ​​Band village with a score of (8.25) from the total of effective items has various capabilities and compared to the other two areas, it has a high score in terms of development and attraction of tourists. Also, these areas were evaluated with a dynamic model. During this survey, the results showed that the geotourist area of ​​Bandh has a higher score among geotourism values ​​and indicators than other areas. Being an indicator in the destination with a score of (4.8) has the highest value. Based on this, by using the geotourism potentials in the studied area, the results were obtained that Urmia dam area will be very useful for attracting tourists and developing tourism. Therefore, it can be concluded that by identifying and creating facilities in the geotourist areas of Bandh region, we will attract tourists and develop welfare infrastructure. Therefore, it is suggested to provide a fresh and new attitude towards geosites in these areas in future studies in this area.

Geotourism is one of the important types of ecotourism with a responsible and conservation-oriented approach that emphasizes the popularization of earth sciences and the cultural, social and economic development of the local community. The purpose of this research is to investigate the geotourism capabilities of East Azarbaijan Province using the Pavlova, Kubalikova and Hadzik model. Three study areas including the geotourist areas of Kandavan, Zanouzgh and Ashtabin have been selected. Based on Paulova's model, the results showed that the Kandavan geotourism area with the highest score in the positive factors promoting the competitiveness of geotourist destinations includes natural wealth with a score of (7) and the highest value among the negative items of competitiveness, budget deficit and the lack of skilled professionals with a score of (5) It creates the most negative impact on the attraction of tourists. Also, the results of the Kobalikova model showed that the Kandavan region has the highest score compared to other regions with a value of (9.25). In the Hadzik model, according to the study of scientific and surplus values according to the opinion of experts and tourists, the results showed that the average scores of the items in Kandavan geotourism area with the highest score are in the first priority. Therefore, it can be concluded that by evaluating and identifying the geotourism potentials of East Azarbaijan Province and developing the capabilities, it will lead to the development of geotourism areas and attracting tourists.

Today tourism is expressed as an economic matter. Sareen city has the attraction of tourism, which has capabilities at the national and international levels. The city of Sareen has a nascent and growing economy, and the tourism industry is the best option for the economic growth and development of this city. The purpose of this article is to investigate the role of tourism economy in the sustainable development of Sarein city of Ardabil province. In this research, two geotourism models, Hadzik and Berylha, have been used. In Hadzik's model, the results are obtained by identifying and examining the components and preparing a questionnaire from experts and tourists, and in Braille's method, scientific, tourism and educational values, the method of evaluating land diversity areas and calculating the total points of these areas are investigated. The results show In Hadzik's model, the current region with a total score of 4.68 in scientific value, the component of diversity in geomorphological forms and the component of special cultural events with a total score of 4.54 has the highest score among free values. And in the Braille model, the Sareen geosite with a total of 270 points in the tourism value of the land diversity site evaluation method has tourism potential in the region and has the power to attract tourists. . Many development planners also refer to the tourism industry as the main and important pillar of sustainability, and in other words, the relationship between tourism and planning can play a special role in urban and rural development. In the city of Sarein, despite the obtained tourism potentials, the results of the research indicate that the expansion of tourism potentials in the city of Sarein will increase employment and also cause sustainable urban development.

Tourism can be international or domestic in a country. According to this organization, tourism is not only limited to the trips that are made during the holidays, but if a traveler moves away from his place of residence and travels to another place in the country or even another country and spends a period of time doing business and Even if he is educated, he is classified as a tourist. As we mentioned, tourism is both domestic and international. The purpose of this research is to investigate and evaluate the capabilities and potentials of geotourism (case study: Alvares, Darabad, Noran villages). The method of this research is applied, analytical and comparative, in this research, a dynamic model was used to evaluate the potential of tourism, and the Pavlova model was used to evaluate the competitiveness of geotourism areas. The value and importance of geotourist areas in the Hadzik model is estimated by three indicators of scientific value, surplus values ​​and the degree of vulnerability of the areas, and in the Pavlova model, the competitiveness of the areas is estimated in terms of positive and negative factors. In the dynamic model, using Cochran's sample size formula, the number of experts and tourists has been determined, and a questionnaire of 55 visitors and 10 experts was used to evaluate the geotourism potential of the studied area. The results show that the geotourism potential of Darabad is 33.4, Noran is 36.44, and Alvares is 59.64. The geotourism potential of Darabad and Noran is average and not much different from each other, but Alvares region has good geotourism potential. Also, to evaluate the competitiveness of the studied areas, the results obtained from the analysis of positive and negative factors indicate that the final results of the numerical value of the areas of Darabad are equal to 1.14, Noran is equal to 1.18, which have satisfactory competitiveness and Alvarez geotourism area with The value of 1.41 has good competitiveness. Therefore, it is concluded that Alvarez tourism region has appropriate potentials for attracting tourists in terms of competitiveness compared to other studied tourism regions.

Precipitation and temperature are important elements of climate. Changes in these elements can have a significant impact on the changes in other environmental components, including changes in land use. This study aimed to investigate the long-term changes in temperature and precipitation in the Karun basin. Then the probable relationship between these changes and land use changes was investigated. Therefore, the daily temperature and precipitation data from 177 synoptic stations and 230 rain gauge stations were prepared from 1972 to 2014. Daily maps were made up of 4 x 4 km, using the kriging interpolation method. Due to the climatic and spatial diversity of the Karun, the basin was divided into 12 smaller sub-basins. Using google earth engine (GEE) and using the digital data of Landsat 5, 7, and 8 series satellites, TM, and OLI/TIRS sensors, land use maps were extracted by calculating the mean of each use. For the classification of images, the algorithm of the minimum distance from the mean was used for several years (1987 - 1997 - 2007-2018). To monitor the temporal changes in land use, the dynamic model of land use was also used. The results of the research showed that in the high basins of Karun, the variation in the climatic elements played a significant role in land use changes. In the sub-basins of Karon, the decrease in rainfall over time has had a destructive effect on the degradation of forests, pastures, water levels, and water agriculture in the region. So that in recent years, the amount of destruction of forests and pastures has reached its peak and it is mostly dedicated to aquatic cultivation. The drilling of deep and semi-deep wells and the unprincipled exploitation of the underground water have also caused that over time, Karun faces surface and underground water crises and as a result many economic, agricultural, and social crises.Using google earth engine (GEE) and landsat 5,7,8 images, land use maps were produced. For classification of images, the algorithm minimum distance of mean was used for years of 1987 - 1997 - 2007. In order to monitoring changes of land use, land use dynamics model was used. The results showed that in the Karun basin, the variation of climate elements has a significant role in land use changes. In the Karun, precipitation reduction had negative effects on the degradation of forests, pastures, water levels and aquatic agriculture. So, the destruction of forests and pastures has been increased. The Welles and exploiting the groundwater led the Karun into the surface of the surface and underground water crisis. Extended Abstract Introduction The increasing world population, greenhouse gases emission, and land use changes through dam construction, deforestation, desertification, etc., have caused changes in the climate system. These changes can be effective along with positive feedback on the natural ecosystems and the activity of human societies. Precipitation and temperature are important elements of climate. Precipitation and air temperature are important elements of climate. The change of these two elements can have a significant impact on the changes of other environmental components, including changes in land use. In this study, the temperature and precipitation trend in the Karun basin has been investigated. Then, the possible relation among these changes, temperature, and precipitation was evaluated by examining the decade-long changes in land use.MethodologyTo achieve the objectives of the research, two types of data including ground data and satellite data were used. GEE system was used to monitor land use changes on the surface of the earth using Landsat satellite images. Also, Kendall's test was used to identify the trend of climatic elements. To detect the land use changes, the classification algorithm of minimum distance from the mean was used. Using the dynamic model, the changes in the time series of users were evaluated.Results and discussionThe fluctuations and multiple collisions of Mann-Kendall diagrams showed that precipitation has varying behavior. Changes can be seen in mountain basins such as sub-basins 2, 3, and 4. As the height decreases, the amount of fluctuations is significantly reduced. This shows that height has an influential role in the rainfall changes in the region. The results of classification showed that considerable variation has occurred in subbasins land use. Most changes have been related to changes in water levels, arid regions, and forests. The impact of human activity, including afforestation and the development of hydroponics, the conversion of pastures into agricultural lands, increases the risk of floods, fires, soil erosion, and the entry of polluting substances into water sources.ConclusionIn the Karun basin, the decrease in rainfall over time has had a destructive effect on the reduction of forests, pastures, water levels and water agriculture in the region. So that during the last decade, the amount of destruction of forests and pastures has reached its peak and more is devoted to dryland farming. Also, the occurrence of these changes has led to an increase in the extent of arid areas in the region over time and has reached the maximum possible extent in recent years. In the Karun basin, taking into account that the area under cultivation of irrigated crops has increased and the amount of water in the region has decreased over time, it can be expected that the huge amount of water demand for irrigated cultivation and the lack of water will lead to water stress in the future. The increase in cultivation areas has been in line with the destruction of forests to be used in the agricultural sector. Therefore, from year to year, the extent of forests in the Karun region has decreased.Funding There is no funding support.Authors’ Contribution The authors contribute equally to the conceptualization and writing of the article. All authors approved the content of the article submitted for review and agree on all aspects of the work.Conflict of Interest Authors declared no conflict of interest.Acknowledgments We are grateful to all the persons for scientific consulting in this paper.

Geotourism is a combination of land and tourism and is a tourism that have geological, morphological and cultural attractions. Optimal use of the attractions of the studied areas requires knowledge of different aspects. The purpose of this study was to evaluate the geotourism potential and analyze the competitiveness of geotouristic areas of Sarein city (Bileh Daragh, Darband Vergehsaran and, Alvares).

This descriptive- analytical comparative study was conducted through field method in the geotouristic areas of Sarein city (Bileh Daragh, Darband Vergehsaran and, Alvares) in summer of 2019. 102 tourists and experts who had traveled to the geotourist study areas (23 tourists and 11 experts for each of the study areas) were selected by simple random sampling method and completed the research questionnaires. The Hadzic model was used to evaluate the geotourism potential and the Pavolova model was used to evaluate the competitiveness potential.

The geotourism potential in Bileh Daragh and Darband Vergehsaran was equal to 39.22 and 24.44 respectively and in moderate level and in Alvarez was equal to 55.55 and in good level. Also Bileh Daragh with numerical value of 1.16 and Darband Vergehsaran with numerical value of 1.20 had satisfactory competitiveness and Alvarez with numerical value of 1.43 had good and suitable competitiveness.

Alvarez tourist area in terms of geotourism potential and competitiveness compared to Bilesh Daragh and Darband Vergehsaran areas has good potentials to attract tourists to Sarein city.

One of the crucial factors in the successful production of agricultural products is the climate. Lack of attention to climatic conditions causes the loss of horticultural products. As one of the major crops in Iran, grapes are affected by climate change and anomalies. Due to climate change, assessment of the phenological stages of grapevine and assessment of chill accumulation status is important for the development of this decidous tree and sustainable management of the horticultural sector. In the present study, the phenological stages of the grapevine were determined based on field observations in two consecutive years at Golmakan agrometeorological station. to evaluate the condition of chill accumulation based on dynamic model, data from 55 valid meteorological stations from 1985 to 2013 were evaluated on an hourly and daily time scale. Mann-Kendall nonparametric method was used to investigate the trend of cold accumulation changes.The results showed that grapes require eight phenological stages to complete the developmental period from early April to late November. The highest temperature requirement occurs during the fruit development stage. According to the dynamic modeloccur51 to 91 cold portions. At high latitudes, severe colds and at lower latitudes mild winter have reduced the chill accumulation for the grape tree.Therefore, climate change has emerged as a decrease in the rate of cold accumulation and the inadequate requirement. Therefore, consideration of climatic considerations is important in selecting species and varieties consistent with this decrease in chill units during the period of dormancy of decidous trees.

The accumulation of chilling during the dormancy period for fruit trees is very important. Failure to chilling requirement will reduce performance and waste of resources. Successful cultivation of horticultural products depends on suitable climatic conditions. Dormancy is considered one of the most important stages in the life cycle of temperate plants. Horticulture and fruit production are one of the most important parts of the country. The bulk of the country's exports are covered with arid and frosty crops. Providing winter chilling to the temperate regions is critical to the lack of attention to this, causing the loss of capital and resources. Measuring different areas through weather stations is an effective step in understanding the climate potential of each area to understand the accumulation of cold. Considering the trend of global warming and climate change, today, the assessment of global warming has been the focus of global studies. The study indicated that a comprehensive study with more stations and long-period hourly data on cold accumulation and calibration of different estimator models was not carried out. Therefore, the present study aims to analyze the winter cold accumulation of cold regions of Iran based on CH, Utah and CP models using statistics. The long-term temperature of three hours of observation of meteorological stations has been designed and carried out.
Methods and Matrial: In this study, the weather temperature data during the recession period was extracted from the Iranian Meteorological Organization (IMO( from 1985 to 2013. The 9744000 hour temperature record for the three different models of estimation of cold accumulation during the dormancy period was set up from November to March. For each model, 3258000 data is provided for the hourly temperature to determine the time series of the accumulation of cold. In order to estimate the accumulation of cold in the country through the meteorological stations studied, three common models of estimation of cold accumulation, chilling hours (CH), Utah units and dynamic model (CP) were used. The non-parametric Mann-Kendall method was used to process the time series changes and the validation criteria were used to calibrate different models performance of accumulation of chilling. Linear interpolation was used to convert the temperature of three hours to the hourly temperature. In this method, the temperature is collected three hours later, at a temperature of three hours, and added to the previous temperature by three-hour intervals. It should be noted that this method is used independently for each three hour period of air temperature based on the temperature before and after it. Operation of this method is provided in the Excel software programming environment for each station and each year from November to March. In order to validate different models of need for cold, MAE, MBE and RMSE validation criteria were used to determine the performancr models of chilling accumulation.

The output of different models showed that the pattern of the accumulation of cold influenced from the height of each region. In all models of higher stations they still have the necessary accumulation of chill. Typically, Yasuj station with a lower latitude has the higher accumulation of chiiling in the doamancr period. The structure of each model is different for quantifying the chilling requirement fruit trees. In the chilling hours model, temperatures above zero to 7.2 are more likely to play a role in the Utah model, because temperatures above 7 to 10 are also chilling effect, so the data obtained in Utah model are higher, which can not be a strong reason for this superiority model. Therefore, it is better to match the different species of chilling requirement trees with the potential of climate and the accumulation of high-temperature multiplier for each region.
The coefficient of variation in the accumulation of cold in the model of CH is higher at higher station with higher chilling. Based on the Utah model, this coefficient of variation is observed in the stations, Ghouchan, Golmakan, Mashhad and Torbat Heydarieh, and in the dynamic model at Tabriz, Sarab and Fasa stations. Estimating hourly temperatures over a long period of data based on different models shows that the highest rate of high accumulation at the beginning of the statistical period has been studied and occurred over the past decades. In fact, cold and relatively cold winters in the past have been more capable of providing more power to accumulate cold over the past decades. In the last two decades, the decrease in peak cloud accumulation has become apparent. The results of stations in Ardebil, Mako, Meshkinshahr, Khoy and Sarab with hours of freezing between 1,000 and 1,200 hours indicate that being located in higher latitudes can not be a reason to provide the required capital for high-demand fruit trees such as late apple, because the Extreme temperature and lower than zero degrees in the accumulation of cold do not only play a role, but also have a negative effect. So the high latitude is not a strong reason to provide the cold caaumulation deciduous with high chilling requirement. The results of the validation tests indicate that the dynamic model, according to MAE and RMSE, has a higher performance among the models.

The evolution of the long-term temperature of the observed stations for the estimation of the accumulation of cold showed that, Based on the model of cold chilling hours (CH), the accumulation of cold from 775 to 1445 hours, Based on Utah's model, the accumulation of heat from 1191 to 2121 units of heat Based on the Dynamic Model (CP), the accumulation of cold temperatures varies between 63 and 96 portions in cold and temperate regions of Iran The elevation factor of the sea level plays an important role in estimating the accumulation of cold in each of the models. In terms of time variation according to the long-term time series, the frequency of peak accumulation in the past decades has been more than recent decades. In fact, the cold season in the past has been more than a decade of cooling power. The trend of cold storm changes based on non-parametric Mann-Kendall test showed that there were significant changes in significant changes in the stations at Isfahan and Shahrekord stations at a significant level of 0.05. Although there was no significant trend at most stations, the trend slope of the trend line at most stations is important. These conditions can be attributed to the effects of global warming through mild winters in recent decades. The results of the validation criteria of the models for estimating cold accumulation showed that the dynamic model with less error rate in the prediction of cold accumulation has a higher performance than other models. The results of this research are important in providing a comprehensive and initial model of cold accumulation in temperate and cold regions of the Iran in order to adapt the varieties consistent with the climate potential and the pattern of the accumulation of cold in each region.

In this study، the geo-tourism capability of Hashtroud Zahak area has been studied. This area has a wide range of elements and geomorphic processes for attracting tourists interested in earth sciences. It is one of the most important historical centers of Azerbaijan from cultural and historical point of view. In this research، Hadžić model has been used. In this study، the value and importance of each geo tourism location is estimated by three indexes، including Scientific value، secondary values and Vulnerability of that geotourism location. For this purpose، a survey was performed from 25 tourists and 6 professionals. Results indicated that geological features associated with cultural heritage have the highest score among professionals and tourists in terms of scientific value. This indicate a wide range of geological and geomorphological forms in the study area. Natural elements and cultural heritage have the highest score among professionals and tourists in terms of secondary values. Vulnerability from expert''s view is 3، that indicates relatively high vulnerability of the area. Finally investigation of three indexes in the final assessment of the value of geo tourism indicated that، this area has a good geo tourism value.