Geotourism
Mehdi Karami Dehkordi; Ghasem Layani
Abstract
The sampling method in the current research was purposeful, and using the snowball technique, 18 people were identified as experts in the field of ecotourism. In order to collect data, a researcher-made questionnaire was used (based on the conceptual framework of the research and the 5 subsections mentioned ...
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The sampling method in the current research was purposeful, and using the snowball technique, 18 people were identified as experts in the field of ecotourism. In order to collect data, a researcher-made questionnaire was used (based on the conceptual framework of the research and the 5 subsections mentioned about service quality) and SPSS, Expert Choice and GIS software were used for data analysis. The results of the Delphi section, which was conducted for the consensus of experts, indicated that the acceptance of tourism business owners in responding quickly to customer requests, providing prescribed services at the promised time, the necessary knowledge and awareness of employees to answer customer questions, paying attention to words The customer and establishing sincere communication and using the right equipment in providing services can be the most important priorities for providing high-quality services, also the findings showed that the cities of "Shahrkord, Ben and Saman" and "Borujen" respectively with weighted values of 0.336 and 0.274 The first and second priority ranks are in this field, and then Farsan, Kiar, Ardel, Kohrang, Khanmirza and Lordegan cities have been ranked; Finally, the results related to the interpolation section showed that the villages located in the east and northeast of the province have more talent in this field, and this share is less in the central and western areas of the province.
Geomorphology
Masomeh Rajabi; Shahram Roustaie; sara mataee
Abstract
Land subsidence as a geological and geomorphological disaster has serious negative effects in many countries and regions of the world. In this research, it was tried to use 5 images of Sentinel 1 satellite for the period of 27/02/2017 to 01/01/2021 in order to measure and calculate the land subsidence. ...
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Land subsidence as a geological and geomorphological disaster has serious negative effects in many countries and regions of the world. In this research, it was tried to use 5 images of Sentinel 1 satellite for the period of 27/02/2017 to 01/01/2021 in order to measure and calculate the land subsidence. For this purpose, the land subsidence was investigated in four time periods, and the results of these four periods show the maximum amount of subsidence in the first period of 17 cm, in the second period of 8 cm, in the third period of 5 cm, and in The last period was 12 cm. In terms of the spatial distribution of subsidence in all periods, the maximum subsidence corresponds to the western and northwestern parts of the plain. In order to measure the land subsidence potential in the Kermanshah plain, a possible subsidence map was prepared using a hierarchical analysis model. In order to do this, eight factors affecting land subsidence were used, including water level drop, land use, well density, land slope, well geological log, slope direction, soil geology, distance from the river. The final map of the risk of land subsidence shows that 50% of the area of the plain is in the area with a very high and high probability of subsidence, with the highest level of water level drop and the thickness of sediments , the high density of the number of wells and the type of agricultural use that in It is located in the western and northwestern part of the plain. Due to the fact that this part of the plain is also in the maximum range of land subsidence. Therefore, the comparison of the maximum subsidence in both mentioned methods shows the complete matching of the results.
