JOURNAL OF GEOGRAPHICAL SCIENCES
Year:2017 | Volume:17 | Issue:44 |Papers Count:13

The goal of this study is to identify farms which are affected by wheat rust disease. For this, the sensor data of Landsat 7 satellites in growing season of 2013 and 2014 along with some laboratorial data containing reflectance spectrum of leaf and leaf health degree in different levels of disease are used. The reflectance values of leaf are collected by an ASD spectroradiometer in the range of red and near infrared spectrum. The spectral are simulated for Landsat sensor bands using their spectral response functions. Then with the index of DVI and data obtained for leaf health, the Wheat Health Index was introduced. The correlation coefficient obtained is 0. 82 and the relevant RMSE is 0. 089 which is really good result for diagnosing highly advanced disease. The results show that, this index has a good performance in wheat high growing season when the greenness is high. It can diagnose regions that are healthy from those whom are blighted. Because the WHI index is a spectral index and is sensitive to leaf color, if the acquired images are close to the harvesting time, its performance will be weakened. The selected region in this survey is located in Fars, province, Saadatshahr city.

The aim of this study was to provide a reliable estimate of the amount of solar radiation in Kermanshah province by using “ Liu and Jordan” model in order to develop solar sites. The amount of atmospheric elimination in each month was calculated using an index called clearness index ( ) and the results were applied on different slopes, aspects and heights. Then, according to the obtained results, amounts of direct, diffuse and total radiation were calculated in different slopes of the region and the relevant maps were consequently drawn. The results showed that the minimum amount of atmospheric elimination and thus the maximum amount of received radiation in the province occurs in late spring and summer due to the increase of clearness index ( ) with a maximum of 1360 cal/cm2/day in May. the least amount of received radiation occurs in Janury equal to 386. 3 cal/cm2/day. Radiation variations at the provincial level are high between lowlands and highlands in Janury and December, according to the angle of radiation and significant elevation changes in the region. However, in summer, distribution of surface radiation is almost identical because of high solar radiation, and thus standard deviation amount of received radiation is reduced. The highest amount of radiation is received in Javanrood city as much as 528. 1 cal/ cm2/day due to greater heights, and the lowest amount is received in Qasr-e Shirin city as much as 443. 6 cal/ cm2/day due to lower heights.

Landslide mapping is one of the approaches (which can be) used to define the slope stable critical areas and the maps prepared based on this demarcating are used in desining sustainable development. The purpose of this study is to compare the landslide susceptibility mapping models based on Fuzzy logic, Information value and area Density applied in the Chamsangar watershed. According to the tectonic and Iran old basins divisions, this basin is a part of folded Zagros. To study the stability of slopes in the Chamsang field, in first step the sliding point and subsequent distribution maps of landslide were prepared using satellite images and field visits (recording the sliding points by GPS). in this study, Landslide-related factors such slope, aspect, altitude, lithology, rainfall, landuse and distance from the road and drainage used in the landslide susceptibility analyses. To assess and classify was there models outputs the Sum of Quality (QS) index used. Results show that area Density model with QS=1. 85 is the more suitable than Information value model with QS=1. 60 and Fuzzy logic with QS=0. 554 based on the out put of the area Density model, the 36. 31, 44. 78, 16. 62, 1. 65, and 0. 63 percent of the area is located in very low, low, medium, high and very high risk classes, respectively.

Social capital including values such as trust and cooperation and solidarity in a residential zone is a concept that has been very important and critical in the process of urban renewal in recent decades. The aim of the present study was to measure the degree of social capital and to investigate the relationship between social capital and physical interference pattern and continued motivation of residence. And it also tries to identify the type and extent of the relationship between social capital with the increased participation and the rate of the implementation of urban renewal projects, on the other hand. The present study is a survey – based research. It is descriptive-analytical. The conceptual questionnaire was used as an instrument in this study. Formulation of theoretical foundation was based on library resources. The population of the present study consisted of all the inhabitants living in Zanjan old texture (family heads) that was 46150. Using multi-stage random sampling was used and 330 samples were selected using Cochran formula. The results showed that the Zanjan old texture residents have the social capital above average; nearly it was true in all of its components. Also significance relationship does not exist between social capital and the renewal of old urban texture. Due to various factors including lack of trust in the body of urban management, lack of reinforcing the planning of required effective variables, residents are uncertain and in doubt on the issue of renewal and improvement of urban old texture. So, it emphasizes on the importance of planning in this area.

Rainfall is one of the most important components of the water cycle and plays a very important role in the measurement of climate characteristic in any area. Limitations such as lack of sufficient information about the amount of rainfall in time and space scale and complexity of the relationship between meteorological elements related to rainfall, causes the calculation of these parameters using the conventional method not to be implemented. One method of evaluating and forecasting of rainfall in each region is time series models. In this research, to predict the average annual rainfall synoptic station at Mahabad, Uromiya and Mako in West Azarbayejan provience during 1984-2013, linear time series ARIMA was used. To investigate model static, Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) was applied and with differencing method, the non-static data transformed to static data. In next step, stochastic models to estimate the annual rainfall average were used. With regard to the evaluation criterion such as T, P-VALUE < 0. 05 and Bayesian Information Creterion (BIC), ARIMA (1, 0, 0), ARIMA (0, 1, 1) and ARIMA (0, 1, 1) models was determined as a suitable model for predicting annual rainfall in the three selected stations at Uromiya, Makoo and Mahabad. In the following, the annual rainfall for 3 (2013-2016) years is forecasted which based on rainfall data in that time, the adjusted model was acceptable.

A most important part of the world’ s tourism activities is based on the use of nature and areas having valuable natural potentials. one most considered in this regard the aim of this research is priorititing the affecting factors on development of ecotourism in villages of Barzok district. As a need for tourism planning. The research method is descriptive – analytical And Results are combined using ANP and DEMATEL methods. MATLAB and Super Decisions software used for Results analysis. The results show that among the 17 criteria participate of local and regional investors and giving respansibilitis of Assignment, Tourism organizating and managment to local people have the highest score and stand in the first rank. Visiting tours, especially during Rose water production and during growing season of Medicinal Plants and the use of local and interested people as a tour leader and stand the second and third respectively.

Migration is among important issues that less developed and developing countries have confirmed during the recent five decades. This issues in Iran has attraced a lot of researcher and planner views. Irregular and increasing migrations have created a lot of consequences for cities and the target settlements, social effects of migration on the cities is among such consequence these, in this project, ethnocentrism, linguistic diversity and conformance quality are considered among the city's residents. This issue has been studied in Takestan Qazvin. For illustrating the issue, theories of Michael Todaro, Edward Sapir, Benjamin Whorf and William Samner have been used. The research has been done according to library methods (documents) and field methods (special for questionnaires and measurement). In addition to confirming the questionnaire by the experienced faculties, its reliability has been obtained in accordance with Cornbrash’ s Alpha coefficient by 82, 2 percent and the SPSS software is used for analyzing and processing. The result obtained by analyzing questionnaire filled in by 400 people that the number has been chosen according to Morgan's Table, and the people have been chosen randomly, shows that there is a meaning full relation ship between ethnocentrism and linguistic diversity with development of the city.

The aim of this study is to retrieve land surface temperature (LST), air temperature (AT) and precipitation and to study their relationship with vegetation in rang lands of Karun watershed of Khuzestan province. For this purpose, land surface temperature (LST) and NDVI was drived from NOAA-AVHRR for maximum amount of greenness (April) for a period of 27 years. In order to extract LST, Price algorithm was used. Also air temperature and precipitation were interpolated for selected weather stations using IDW method. Spatial correlation outcomes (on 0. 05) between NDVI with LST and air temperature show a reversed relation. This spatial relation is stronger for LST, so that this coefficient is often upper than 0. 6, while seldom is 0. 4 for air temperature and precipitation. Spatial regression models show that 62 percent of NDVI changes is determined by LST (R2=0. 62) and air temperature and precipitation determine very limited amount of NDVI dynamics.

At the moment with regard to geopolitical and geostrategic situation of Iran, the existence of countless underground resources and the formation of ideological state, unfortunately, in urban areas of the country, especially in Ardabil, because of its proximity to the border of northern and northwestern borders with knowledge of this particular situation, economic and infrastructural projects, Infrastructures and installations have been made without observing and interference of considerations and defense and security arrangements and have become a bare and significant available target for enemy and invading countries. This research aimed to study the vulnerability of Infrastructures Ardabil in terms of passive defense and application-development approach in a descriptive and analytical way using 18 effective indicators in form of 5 components of "Lifeline", "crisis management Centers", "military and police centers", "Urban equipment" and "support centers" in three priorities of strategic, psychological and support destruction. Information gathered in the Super Decision software (network analysis) are weighted, then mapped in GIS environment. The results of the studies show that there are six major hazardous zones under crisis conditions and are prone to injury in the Ardabil that the most important of them are the northeast output of Ardabil (Jahad field leading to Astara gate), the southwest of Ardabil (Sarein station leading to the Basij field toward the Sham Asbi village) and finally the north and northwestern parts of Ardabil (Vahdat square), with the sum of (17% of the total land area of the city) have included the highest vulnerability, due to the poor conditions of the physical characteristics and focus on management, corporate, military and state entities in this regions of the Ardabil city.

Among the various processes that destroy lands, soil erosion is a complex and hazardous environmental process that constitutes a serious threat to preservation of soil and water resources in Iran and has inflicted its negative effects on the vital ecosystem with the intensified utilization of nature by human beings. The present descriptive and analytic research employed the PSIAC model to study erosion and compare it with other empirical methods and models by investigating the effects of nine important and influential factors in soil erosion and sediment production in various parts of the Sefidrood Basin through giving intra-layer numerical scores to them. Erosion and landform zoning maps and also zoning maps for the nine factors were then extracted. Results indicated that 77 percent of the lands in the plain landforms faced very little erosion and 23 percent little erosion, 14 percent of the lands in the mountainside landforms were exposed to very high erosion rates, 55 percent with high erosion rates, and 31 percent with average and low erosion rates, and 17 percent of the lands in the mountain landforms experienced very high erosion rates, 58 percent high erosion rates, and 25 percent average erosion rates. In other words, the rates of erosion changed from low in the plain landforms to very high in the mountain landforms. This implies that pastures and natural resources are confronted with numerous problems. In general, considering the study carried out on the nine influential factors in the soil erosion model (the PSIAC model), we notice that the mountainside and mountainous regions are more sensitive to erosion and influential factors in erosion are more active in these regions.