مجله کاربرد سیستم اطلاعات جغرافیایی و سنجش از دور در برنامه ریزی
سال نهم شماره 1 (پیاپی 31، بهار 1397)

Review factors and climatic parameters in place and the right time for the tourists to affect tourism. Weather conditions unsuitable for tourism, many restrictions are created. And calmness and comfort him. Tourists should be aware that the time to visit a specific location where the climate is appropriate and inappropriate times. The study of the nature of the application, the data collection is descriptive - survey. The aim of this study is that the best and the most favorable time for tourists, especially foreign tourists to the city anymore, the suitability of the weather conditions, identify and introduce (to determine the climatic comfort in anymore by TCI), and finally GIS mapping software is done climatic comfort in anymore. Tourism Aqym index (TCI), the ideal time to Hzvrgrdshgran anymore, is calculated. The index of tourism climate conditions of the category ideal is impossible to classify it. TCI index comprised of seven parameters Aqlmy using ArcGIS software data interpolation and extrapolation of data points of the zone is complete. The data used in this study average of seven factors in climatology station and the town anymore for a period of 10 years (2005-2014), respectively. The results of this study show that the months of October, April and March in this city the best conditions for tourists and December, July and August are the worst months for tourists.

Agricultural drought is one of the most complex natural disasters. Due to spatial and temporal variations This phenomenon needs to improve the information and tools available to monitor this phenomenon on all scales. Remote sensing data and GIS, An appropriate monitoring tools to assess the extent and severity of droughts available in the villages. Plant growth rate is one of the most important indicator of the occurrence of drought . In this study, a number of plant indices were evaluated and, as a result, the indicator NDVI As appropriate The highest index for vegetation has been selected . In this study, from the images MODIS The resolution right time and place for the province Drought risk analysis have been used. Period covered by the month March to July of the year 2000 20 1 7. First, geometric and radiometric correction images Have. Then by evaluating a seven -year series of images NDVI, SPI, LST, SPEI And the total annual rainfall in the region, the trend of drought changes has been shown. In this study, by using the satellite indices mentioned in Semnan province, the climate of the drought affected area was investigated. Satellite indicators show the effects of drought in Semnan province in 2000 , 2010 , 2013 , 2016 . According to this index in 2000 , 2001, 2006, 2007, 2016, 2017 there has been a drought in the province. Drought severity in 2000 , 2016 More than other years . Also, 2005 is Tersali and other years are the average years . The results showed that identifying drought-sensitive areas could have a very important role in managing the management of drought risk.

Soil salinization is one of the main factors of land degradation in arid and semi-arid regions and one of the most important factors limiting the production of agricultural products is of great importance. Therefore, evaluating and identifying soil salinity seems necessary in managing agricultural and environmental projects and projects, as well as ensuring food security. Soil salinity mapping is one of the first steps in identifying this land, which is an innovative and efficient way of developing remote sensing technology using satellite imagery. In this project, in order to identify and evaluate soil salinity, 65 samples were taken from Semnan central part of Semnan province, from the surface of soil identification (average 0-15 centimeters) and sent to the laboratory. Then, to investigate the relationship between electrical conductivity and spectral reflections of the satellite, ETM + satellite images were used on October 14, 2008 and statistical models were used and a number of spectral indices such as salinity, vegetation spectral transfer and main components were identified and evaluated for salinity . The results showed that there is a meaningful relationship between the EC soil with the images of the cells and some derivatives of the images. In these indices, the 7th ETM + band of the 9th satellite is more than ninth (75%) with the electrical power of the observed soil and can be used for prediction and estimation. Different regression methods were used to estimate salinity. After assessing the statistical significance of the presentations, using the 15 test points, the stepwise method with the 60% explanatory factor was chosen for the .study area, which is the rate of RMSE and MBE for this relationship is 2.833 and -808 respectively

The camps are resorts that are built on paths or in sight-seeing areas and as a recreational site-tourism and travel services, and have many amenities and spaces. Tehran Province, in particular Tehran, is naturally, regionally and unique. On Sundays, thousands of tourists and travelers are attracted to tourism, temporary accommodation, and leisure time. Camping location is based on the characteristics of the natural, historical, sports, and so on. There is no recreation, recreation area and facilities in the vicinity of Tehran. Therefore, the existence of a recreational, tourism and sports camp is very important. The purpose of this article is to review, design and establish a recreation and tourism center in northern Tehran. Is. The research method is descriptive-analytic, with the help of architectural design principles, and data collection was done through resources and field studies. In this article, we first used the Google Earth Identifiers to identify the status quo and then with the help of GIS-like software and its lateral program such as AutoCAD, the plan was designed based on standard design standards for tourist camps in mountainous areas with cool and cold winters. In the physical planning of this site, parking, restaurant, commercial spaces, cultural spaces, sports and recreation such as prayer room, health space, sports ground, etc. are considered.

In Iran, due to the lack of a well-defined and stable development strategy, there has not been a continuous trend of sustainability in the type and scope of activities and applications. These conditions have brought about rapid and permanent changes to certain activities and uses following the economic, social and political transition of the country.In the meantime, the use of remote sensing technology is known as the best means of detecting and evaluating variations, as the advances made in this technology and the production spatial and satellite images, as well as various image processing techniques land use changes can be estimated and applied to their management. the purpose of this study was to detect land use change in northwestern plain of Mazandaran province.in this paper, the non-classified classification method has the maximum probability of classification of satellite images with a time series of 27 years in five agricultural, urban, forest, water and cloud areas, with urban and water areas being increased with coverage forest and agriculture and clouds. satellite images of 1366 and 1393 were classified with kappa coefficient of 0.95 and 0.98, respectively. According to the results of remote sensing, a suitable method is in the field of land use mapping and land use change.

Identifying the climate of a location and analyzing the needs of the climate in terms of human comfort and the use of building materials is one of the preconditions for consistent design with the climate. Considering the major goals of climate design in each climate zone and anticipating some of the ways to realize These goals will lead to the adaptation and coordination of buildings with climatic conditions, and will conserve energy and architectural identity in each climate. The purpose of this paper is to study the effect of climate elements on heat loss and the design of residential buildings in Semnan city and provide guidance to the project. Residential units are in line with the climate to provide thermal comfort in the building Be In this paper, we analyze the climate of Semnan using climatic diagrams and methods. To do this, the Meteorological Organization data has been used in a period of 25 years (from 1990 to 2002). According to the obtained results, the Semnan climate was determined by Dry Damarthen method. Dry and hot coupons were determined based on dry and cold sampling method. In order to determine thermal comfort and architectural design consistent with the climate, four thermoelectric sensing models including Ecological Chart Index, Mahan Index, Geomorphology, Geomorphology, and Zucchay method were used. Each model, in addition to the determination of hot and cold weather conditions And comfortable, provided the necessary guidelines for the proper climate design of the city of Semnan. The overall result of the research is the use of native materials with high thermal capacity, determining the proper direction of building of the buildings in relation to the direction of wind and sunlight, the proper installation of openings to maintain energy inside the building, so that in the summer at least and in the winter the maximum solar energy is received. . In the case of architectural rules that meet the criteria for determining thermal comfort, the duration of the use of mechanical heating and cooling devices inside buildings of Semnan city significantly decreases