مجله کاربرد سیستم اطلاعات جغرافیایی و سنجش از دور در برنامه ریزی
سال دهم شماره 2 (پیاپی 36، تابستان 1398)

Determining the per capita green space depends largely on bioclimatic characteristics of the region and the city. According to the Department of Housing and Urban Development studies, per capita urban green spaces in cities between 7 to 12 square meters per person for leisure, play, and recreation. Today usually optimal balance between green space and open areas between urban networks and natural patterns are seen less land. This may cause certain global environmental problems such as formation of urban heat islands Green space plays a decisive role. The city of Hafsjand is one of the cities that does not have the proper distribution of green space, and some of its neighborhoods lack green space. In order to determine the optimal location for creating green space to the principles of centralization, hierarchy and follow access. After collecting the location data and maps and a database in GIS environment Large and Small fuzzy functions and Boolean functions of each standardized criterion. With appropriate weighting and overlapping the layers of phase, phase modulation was conducted and it was found appropriate places Finally grounds that they are very good degree of appropriateness have been selected to create green space. This places close to population centers, training, networking, and other parameters such as green space, with the proper distance.

A severe shortage of water resource in south Khorasan province caused, water resource managements use waste water for irrigation agriculture lands. Soil salinity is one of the pervasive phenomena in the word that due to its adverse effects on the growth of plants and the final product has become one of the main challenges in the field of natural resource management. In this study attempted to investigate effects of long-term irrigation with wastewater of Birjand refinery on soil salinity characteristic, taken effective step to inhibit this phenomenon and, more importantly, management and conservation of water resources. Since evaluating effects of irrigation with wastewater on soil salinity requires access to soil salinity information before and after constructing the refinery building, and we have no information about soil salinity in the past, so to finding out soil salinity information in the past year’s, the option of using satellite images was selected. For this purpose, satellite images of the study area were downloaded from USGS site, and using PCI-Geomatica software bands of Landsat satellite merged together to create one image that is prepared for studying. Because satellite image contains raw information and hard to interpretation alone, so using some soil salinity indices is required for reach this goal. With an assessment of correlation between gathered information from different soil salinity indices and actual EC amounts, it was found that SI-1 with root square equal to %84 have the most correlation with actual amounts of EC values. Then with making a meaningful relation between this salinity index and EC can achieve a comprehensive relationship to extract data related to soil salinity obtained from satellite images. Results of this study represented that irrigation with waste water generally have not devastating effects on soil salinity and in most cases caused decreasing about 3% to 5% of soil salinity in sampling points.

Assessing Sustainable Agriculture Development Status in South Khorasan, Iran using the relative advantage method and GIS Zoning of agriculture sustainability can be illustrated the status of sustainability in different regions and also provided the comparison capability and identification of advantage and disadvantage properties. Various variables are involved in determining sustainable agricultural development. A separate comparison of each variable changes the order of each city in the table. Therefore, in this study, using census statistics from 1380 to 1393, population censuses and housing in this period for the studied areas (South Khorasan, Iran), 60 Indicators, were divided into five major groups of agriculture resources, agriculture development, environment, rural societies, and education. The studied variables were presented and analyzed using a relative advantage and combined method insignificant factors. In the end, by using the GIS, the level of the province's cities was shown for sustainable development of the spatial analysis and the status of each of these provinces was determined in terms of sustainable agricultural development. Finally, it was shown in 6 classes (high stability, moderate stability, poor stability, poor instability, moderate instability, and high instability). In general, it can be stated that the city of Qaenat is more stable in agriculture than any other agricultural land and Ferdows is in the worst case.

Monitoring land use change is important in many planning and urban management activities. Due to human activities and natural phenomena, the face of the earth always changes.Therefore, for optimal management of natural areas, awareness of the land use change ratio is considered necessary. The purpose of this study was to evaluate and reveal land use changes, especially the use of vegetation cover in the Auchan region, from the functions of Minoodasht city of Golestan province in a 30-year time span using remote sensing and spatial information systems and MATLAB, ARCGIS and ENVI software.For this purpose, Landsat satellite ETM sensor was used from 1987, 1993, 1998, 2000, 2003, 2008, 2013, 2015, and 2017, and after making necessary corrections in the preprocessing stage, to monitor vegetation time changes, the index Vegetation cover (NDVI) was calculated in MATLAB software for each 9 time intervals.Then, by using the calculated images of the first 7 years and the model of the neural network (time series), the images of the eighth and ninth year were predicted and obtained, and then calculating the RMSE error between the output images of the model with the actualImages, the validation model it turned out the results show that the model with an average RMSE of about 0.13 was very good for the NDVI.The CA model was used to predict vegetation changes. The results show that the vegetation cover in the last two years, 2015 and 2017, has been upgraded by the neural network model and the study area has become greener

Due to the development of cities, a number of issues emerge as crucial problems in every-day life of human beings. One the one hand, the urban development, which is one of the essential aspects for the life and survival of human beings, cannot be limited, and on the other hand, it should be arranged in harmony with the needs of human being in a way that it does not damage environment. In the present study, it was intended to identify the optimal sites and districts for urban development through determination of environmental features, especially geomorphological features and the analysis of these features. In order to analyze these features, 13 indices were used. Each of the layers was fuzzed in the environment of Geographic Information System (GIS) through integration of Fuzzy Logic and Analytic Hierarchy Process (AHP). In the next step, multiplication operator, fuzzy addition, and fuzzy gamma were operated through multiplication of weight of layers resulted from AHP in each of the layers. The optimal gamma in ArcGIS was categorized in 5 proportion classifications. The results indicated that 9 percent of the studied site is categorized in the low-proportion class and 16.5 percent in high-proportion class. The map of the presented model determined the districts with potentiality of spatial development with respect to the past trends as well as suitable districts for future developments. Accordingly, Northern, Eastern, and Northeastern districts of Shahrekord City are the best and most suitable ones for future development of the city.

The existence of cities is generally mixed with the service and provision of services to residents within the legal boundaries of the cities. And fire stations as places to deploy and expected firefighters and rescue vehicles, One of the most important centres of urban services, Choosing the best location with space perspective is essential to creating these centres. The aim of this study was to analyze the spatial status of existing stations in Isfahan and optimize the location of fire centres in Isfahan metropolis. The research method is descriptive-analytical. In the first step, a set of effective factors on the location of fire stations has been identified and developed using the rules of locating the firefighting stations of the Institute of Standard and Industrial Research of Iran and other reliable studies. In this research, the fuzzy network analysis method was used to determine the weight of each criterion and sub-criteria The results of this study indicate that ten firefighting stations in Isfahan have been constructed in inappropriate places. And in areas of eight and ten cities in Isfahan, it is necessary to build new fire stations.