جستجوی مقالات مرتبط با کلیدواژه "مدل آنتروپی" در نشریات گروه "جغرافیا"

Quality of life as a multidimensional structure that includes psychological, economic, social and physical aspects; Can be considered as an indicator of the progress and development of a community today; There is general agreement among researchers, policymakers and development planners on the need to study quality of life. Which is important with socio-economic development and improvement of living standards, so it can be used as a powerful tool to monitor community development planning.

The statistical population of the study includes all rural households in Jazinak district of Zahak city, which has 5223 households. After pre-testing the questionnaire and calculating the variance of the main variables through the Cochran relation, by substituting this value in the Cochran's formula, the sample size is estimated at 357 people. Completed. To analyze this part, Shannon and Saw entropy multi-characteristic decision weighting models have been used. Also, in order to analyze the data, using SPSS software, Spearman analysis of variance and correlation tests were used to assess the level of quality of life for analysis.

 The results of leveling using SAW and entropy models showed that the indicators of quality of education and quality of employment and income with a weight of 0.189 and 0.113, respectively, have the highest amount. And the indices of quality of environment and quality of leisure with weights of 0.009 and 0.023, respectively, have the lowest level in terms of quality of life indices among the villages of Jazinak district. also; The villages of Jazinak, Nadam Sharghi and Safdar Mirbik with the final score of 0.586, 0.581, 0.576, respectively, with the highest score and the villages of Qaleh-e No, As Ghazi and Lechvi, respectively, with the final score of 0.494, 0.494, 491, respectively. / 0 are in the last rank in terms of quality of life indicators.

The results of the statistical test of the analysis of variance test show that; There is a significant difference between the dimensions (economic, social, physical and environmental) quality of life in the studied villages. Also, the results of Spearman test show that there is a significant relationship between the level of quality of life indicators of villagers and the development of villages in Jazinak district, and the quality of life of villagers plays an effective role in rural development.

The unbalanced distribution of facilities and activities as well as the existence of inequalities both among the provinces and within each province has always been the focus of social and economic organizations and institutions of the country. Determining and measuring the level of development can identify existing situations and shortcomings and on the other hand help managers and planners in planning for the future and choosing the best solutions. In this research, which is of descriptive and analytical type, three stages of work have been done in order to determine and rank the provinces. First, the experts selected and determined the weight of the indicators, and in the next step, using the Shannon entropy method, the degree of importance of the indicators was obtained. After determining the degree of importance, in TOPSIS model, the ranking of indicators and the degree of deprivation in the provinces has been done. The results of this study indicate that Tehran province is the most prosperous province in terms of infrastructure and economic indicators. Distribution of deprived provinces is mostly in the east and west border of the country and rich provinces are located in the central regions of the country.

Rural services and the power and location of rural services are one of the important issues in planning. In examining patterns and systems of rural services, the status and importance of each village in terms of utilizing a variety of rural services and its ability to receive or transfer Services are considered as an essential element and element. The spatial analysis of services can be described and explained in the context of distributive justice. The rural areas of the Tankeman district of the Alborz province have faced rural immigration in recent years, while faced with challenges in terms of enjoying some rural services. In order to plan and optimize the rural service system in this section, it is necessary first of all to evaluate the situation of each village in terms of utilizing rural services. Based on this, by providing a questionnaire from 16 selected villages in this section, the status of each village was evaluated for different types of rural services based on the number of existing services and the decision matrix was formed and then through Antherapy method, the weight of each specified service and then prioritized by using COPRAS  model. The results show that the main village has basic services. But they are facing challenges with modern and new services. Accordingly, the villages of Bakhtiar, Nukand and Mohammad Abad Khalisheh, Kareem Abad, Qasem Abad and Dengizak have the most benefit from rural services, and this situation follows a cluster pattern.

Karst transformation process is a complex process and is affected by various variables. Due to the inherent sensitivity of the karst system, today in the planning related to karst areas, an attempt is made to study the rate of evolution and sensitivity of the karst within the framework of appropriate models. The southern slope of Binalood has an evolving karst due to the extent of calcareous formations, the presence of tectonic lines and climatic conditions. The main tools of this research are topographic, geological, soil type and land use maps along with meteorological data. In the present study, 9 environmental factors were examined as independent variables and karst forms as dependent variables. Closed holes were identified as the most developed karst landforms in the region and based on the characteristics of these landforms, each of the effective factors in the development of karst was assigned an expert weight. Then, using entropy model and GIS, zoning of surface karst development has been done. Finally, in Arc GIS10/4 environment, overlapping maps were prepared and standardization of factors and final correction was done with the help of entropy model and the final zoning map was prepared and the factors influencing the karst evolution of the region were identified. The purpose of this study is to identify areas prone to karst development, the result of which is to identify groundwater resources and karst springs. Among the nine factors, lithology, altitude, precipitation, distance from fault and temperature have the most effect, respectively, and factors such as soil type, land use, slope direction and slope have no effect

High-rise building and spatial developmental strategy in height as a result of population growth and the lack of suitable land for the building of recent decades have increased particularly in large cities. In Ilam, like most cities in Iran, the most important political and commercial centers are included in the center of this old city. The central part of the urban structure and distribution have always attracted travelers because of large amount of attractions. In this study, the functional effects of the building density on the transportation network in central context of Ilam have been analyzed. This study using developmental-functional approach and a combination of research methods (descriptive, analytical and field study) investigates this issue in Ilam. For analysis of the findings Visio, Crafer, and ArcGis software have been used coupled with entropy technique. The results of the research revealed the weaknesses in access, the inappropriate structure of the urban transportation network, the spatial position of utilization, the excessive building density in the old urban texture, the failure of the public transportation system, and the inconsistency of pedestrian traffic and vehicles in the urban structures in Ilam.

Today the city, for various reasons, are prone to damage from natural hazards, the risks that are associated with many human and financial damage requires urgent measures are preventive. Poshtkuh a city of Fereydoun city.The occurrence of the landslide and imposing heavy body and property damages may be studied based on the recognition and special conditions of the zones. In this research, Poshtkuh zone in Fereidun Shahr town having 581 km2 located in the west of Isfahan province. was selected and then, by using aerial pictures, satellite pictures, geological maps and field studies the dispersion map of the landslides studied through entropy model. Then, the entropy matrix and the zoning map of the landslide were prepared on ArcGIS 10 software environment and finally a technique was given for lowering its damages with respect to the condition of the zone. The results showed that the distance from the fault (60.84%), geology (12.49%), direction of dip (11.38%), elevation beds (7.01 %), distance from channel (5.74%), and slope (2.59%) have been effective in occurring the landslides of the zone. The zoning map indicates that low-risk zones have only covered 31% of the zone and also the medium zone 33% and high-risk zone 36% have high potentials in happening the landslide. Construction having the distance from the fault, geological layers in steep regions, making the communication routes safe and controlling digging and excavation in geological layers are the most important actions for lowering the damages of slope movements in Poshtkuh zone of Fereidun Shahr.

Today, cities around the world are exposed to natural hazards for many reasons. These risks come with many injuries that require immediate and preventive actions. The occurrence of landslides and hazards has made it necessary to identify and prioritize these sensitive areas. Ardal-Naghan region is located in the southwest of Chaharmahal-Bakhtiari province. The method of this research is descriptive-analytic. In the descriptive section, using the documentary studies and in the analytical section, identifying the effective parameters in the zoning of geomorphic hazards and integrating it with spatial analysis in the GIS of the vulnerable zones in the study area were determined. In this study, firstly, effective factors in hazard zonation were identified. After examining satellite images, geological maps and field studies, effective factors were studied using entropy model. The aim of this research is to determine the zoning of landslide hazard in Ardal-Naghan region using the entropy model in landslide occurrence by identifying effective factors such as slope, direction, distance from fault, distance from the waterway, elevation, geology and so on. According to the entropy model, the results show that 23 percent of landslides are in low-risk area, 25 percent are in moderate risk, and 52 percent of landslides are in high-risk area. This shows that in landslide zoning, the regional entropy model possesses the accuracy and validity.

Landslides are one of the geomorphological hazards responsible for considerable damages as direct and indirect expenses in different regions every year. They play a major role in the destruction of human installations, human casualties, destruction of pastures and forests, and sedimentation in watersheds. This study aims at evaluating a Promethean model and entropy in landslide zonation of Lahijan city and identifying the impact of all the six factors in landslide and landslide hazard map using the Promethean model and entropy. It then provides scientific solutions for better management of the region against landslide hazard. The region landslides were initially identified using the visual interpretation of different maps and data. Through examining the landslides in the region, the sixfactors of lithology, distance to fault (DFT), topography, slope, slope direction, and land use were identified as the effective factors in a landslide occurrence. With respect to the characteristics obtained from the landslides in the region, the layers were weighted and classified based on experts opinions and the Promethean matrix and entropy weight were formed for them.

Karst masses have great importance in water supply of settlements and agricultural lands in arid and semi-dry areas. The most the mountains in Kermanshah province consist of carbonate formations, that Parâw - Bisetoon mountain masses in Zagros structural zone (thrust) are one of the most important karst masses. Karst landforms such as dolines, uvulas, and karst caves in this mountain mass are created due to affecting factors in the karst development such as the carbonate formations, tectonic, climatic and geomorphological conditions. The purpose of the present study is to zonate the development of surface karst in Parâw - Bisetoon mountain mass using Entropy model. This study used seven factors of geology, elevation, slope, aspect, rainfall, temperature and distance from the fault as independent variables and sinkholes factor as the dependent variable. The results of this study indicate that 39% of this area is categorized as the high and very high karst development. The accuracy of the model using the sinkholes layer indicates that 98% the sinkholes of region are in these two areas. Also there are a large number of karst springs (Saraw) around the mountain that shows the development of karst in the area.

IntroductionLandslide is one of the natural phenomena causing many financial losses and casualties in Iran every year (Kamranzadeh, 2014, p.101). This phenomenon occurs when the force of the materials’ weight is higher than the soil's sheer force (Memarian et al., 2006, p. 105). The Shannon entropy is a function of probability distribution and a standard for measuring uncertainty in the information content of a parameter. In addition, by considering the frequency of the occurrence of the subgroups of that parameter, it shows the heterogeneity level. As a result, it calculates the effect of each parameter on the results of the system (Hosseinpour Mil Arghadan et al., 2014). The purposes of the present study are the selection of criteria and standards, preparation of the digital factors layers, preparation of the landslide hazard zonation map, diagnosis of the high risk points via the Shannon entropy, presentation of the strategies appropriate for preventing possible risks, and solutions to reduce damages in the study area. Bajgiran is the central district of Bajgiran Country and a part Doulatkhaneh Rural District of Ghouchan Township. According to climatological divisions, Bajgiran has a moderate mountainous climate. Moreover, geologically and structurally, it is part of Kopeh Dagh Sedimentary Basin. In terms of stratigraphy, outcrops from the Jurassic rock units to the present era can be observed in the study area.
Materials and methodsIn the present study, first of all, the factors affecting the occurrence of the landslides including height, precipitation, slope, slope direction, slope shape, distance from the waterway, distance from the road, distance from the fault, land cover, and lithology were identified, and the mentioned maps were digitized in GIS. To this end, using the topographic map on a scale of 1:50000, the Digital Elevation Model Map (DEM), factors of slope degree, slope direction, slope shape, height level, distance from the waterway, and distance from the road were prepared. In addition, using the land-use map on a scale of 1:25000, information layers of land use were extracted. Then, to draw the lithological map, the distance from the fault of the geological map on a scale of 1:50000 was used. Finally, to draw the precipitation map, the statistics of the rain gauge stations of five Daroungar, Mohammad Taghi Beig, Aman Gholi, Kikan, Hey Hey Ghouchan, and Bahman Jan Stations were used.
Results and DiscussionAfter converting the criteria into integers and the formation of the initial matrix, the values of Pij and K were respectively calculated via equations 1 and 2. To calculate Ej for each criterion, equation 2 was used. The results are indicated in table 2. In this equation, the value of E is a function of n. For each n, where Pi is equal, the value of E becomes maximum which is statistically calculated via probability distribution of Pi. Then, the uncertainty or the degree of the deviation of each criterion (dj), obtained from the fraction of the value of Ej, from 1 were calculated per each indices effective on landslides of the study area (table 2). After that, using equation 5, the weight of each parameter, used in the entropy matrix of landslides (Wj), including height (0.02113), precipitation (0.031142), shape of slope (0.0116110), slope (0.011342), distance from the waterway (0.045161), distance from the road (0.113401), distance from the fault (0.099871), land use (0.997110), and lithology (0.095148) were obtained. After that, the regional model of the landslide hazard degree in the area was obtained via equation 6. Hi is the landslide hazard degree in the area (equation 7).
ConclusionThe aim of the present study was to prioritize the factors affecting the occurrences of landslides and to zone their sensitivity in Bajgiran Region via the Shannon entropy. The results of the study showed that the most important factors affecting landslides in the study area were slope layers, slope direction, lithology, distance from the fault, and height. After weighing the parameters and formatting the entropy matrix, the zonation mappings were conducted. To this end, the information layers were prepared in Arc GIS and converted into Raster formats. With regard to the zoning maps obtained from the entropy model, 15 landslides have occurred in the area, of which 9 landslides have occurred in a high risk zone (42%), 4 landslides in a moderate risk zone (31%), and 2 landslides in a low risk zone (27%). Regarding the slope factor, it can be said that most of the landslides have occurred in slopes with 60% because of the lack of the soil-formation process prone to the slippery movements. In case of the slope direction, most of the landslides have occurred in northern domains and in heights with 1600 m high. This result is compatible with the faults and calcareous, marl, and Pyura Chilensis organizations of the area. The results of the present study also show that the entropy model has appropriate performance in identifying risk areas and their zonation. In addition, the results can be used in decision making and management of the land use and urban planning.

One of the basic challenges of governments, especially in developing countries, is to organize the desired national spatial structure in the changing urbanization. Such a structure allows us to divide economic and social functions in the urban and regional hierarchy in a balanced manner. In most provinces and territories of Iran, the urban hierarchy has formed completely cluttered and irregular, and the tasks of cities are unknown, that has led to several problems. This study examines and analyzes the urban hierarchy of Lorestan province from 1986 to 2011. The main research method is descriptive-analytical, and the research type is applied-developmental. The required data were collected with the documentary-desk method. The study aims to evaluate urban hierarchy changes in Lorestan province from 1986 to 2011. The entropy model, the rank-size rule, class difference limit model, and nearest neighbor are used for data analysis. The results indicate that the urban network of Lorestan province from 1986 to 1996 has had an almost balanced state in terms of special distribution of cities but from 2006 to 2011, this balance has disturbed and the spatial distribution of cities has become unbalanced. One of its major reasons is the emergence of very small towns (village-towns). In addition, in terms of distribution of urban population based on the class difference limit model, there is a statistically significant disharmony and disruption during the studied periods in the cities of the province.
This is a descriptive-analytic research of the applied-developmental type. The required information was obtained from library sources and from collected documents. Statistics concerning the study, and related to the period from 1986 to 2011, were collected from the Office of the Governor General of Lorestan Province and from the Statistical Yearbook of the Statistics Center of Iran. The “Rank and Rate,” “Limit of Class Differences,” “Entropy Coefficients,” and “Nearest Neighbors” models were used to analyze the statistics.
Results obtained from the nearest neighbors model are in agreement with those found by Taleshi et al. in the study they carried out on Ardabil Province, in which it was shown that there was a balance among the cities in Ardabil Province, but do not conform with results Sadr Moosavi and Talebzadeh found in their research in 2009.
Results obtained from the model of rank-size rule somewhat agree with those of a study Gharakhanloo et al. conducted in 2008 on the urban network of Ardabil. They found that the value of q, despite being less than one and moving towards values that indicated decentralization in the period from 1988 to 1996, suddenly increased in the period from 2006 to 2011, exceeded one, and was moving towards centralization in Ardabil Province.
Results obtained from the model of the limit of class differences are in agreement with those Tavakkolinia and Shali obtained in their study on urban systems in West Azarbaijan Province in 2011. They found that there were great statistical discords in population distributions in the cities of the province, and that a clear disharmony and disequilibrium existed in urban population distribution in the province.
Urban hierarchy in Lorestan Province has experienced great fluctuations with respect to spatial distributions in the cities during the periods studied, and population distribution shows great variations in these periods, one of the main reasons of which is the appearance of newly founded cities during the period from 2006 to 2011. During the period from 1986 to 2006, there were 10 cities in the province, but in 2006, this number suddenly rose to 23 and reached 25 in 2011. In other words, during the span of a single decade, more than 13 cities were added to those already existing in the province. Many of these new cities were created following incorrect political and administrative decisions and because of the changes made in the Municipal Law. These new cities still possessed rural characteristics as far as economic, service provision, and cultural and social aspects were concerned, and no infrastructure had been built to cater for the needs of these new cities. In 2006, there were 12 cities with populations less than 5000, and their number rose to 13 in the year 2011, i.e., more than 50 percent of the cities of the province had populations less than 5000. This in itself confirms the sudden increase in the populations of major cities: a city like Khorramabad with a population of more than 300000 indicates there are great differences among the cities of the province with respect to their populations. In general, given the issues raised, and taking the obtained results from the models into consideration, it is quite clear that the urban network system of Lorestan Province almost, and to some extent, preserved an equilibrium state with respect to spatial distribution of cities in the period from 1986 to 1996. However, after the period from 2006 to 2011 and following the creation of new cities, this equilibrium was replaced by a state of disharmony and disequilibrium. To prevent the further worsening of this situation, it is proposed that the following steps be taken
1. Filling the gaps, particularly the economic and service provision gaps between the larger cities of the province and the smaller ones, and planning balanced regional programs with the purpose of creating the possibility of equal growth in the cities of the province.
2. Creating balance and harmony in the spatial organization of Lorestan Province through building appropriate transportation and service provision systems in deprived regions which have low populations.
3. Preventing irregular migration from villages and small cities to Khorramabad by creating the necessary facilities and providing the required services in these villages and small cities.
4. Developing and enhancing small-scale local industries and handicraft in villages and small cities with the purposes of strengthening their economy and of preventing migration of people who live in them.

Estimation of the ground to determine the zoning of sensitive areas movements, especially landslides range of research related to natural geographers is especially geomorphologists.Identification of sensitive areas to landslide can prevent the damages and also provide the capability for slope stabilization projects. In this paper landslide risk zoning is done by entropy and fuzzy methods. According to studies nine factors have been determined as the most important factors in landslide risk which include: lithology, distance from stream, distance from fault, distance from road, slope, aspect, altitude, land use and rainfall. By overlaying data layers, the effects of these factors on landslides in study area was reviewed in GIS, then the effect of them was evaluated and finally zoning map of landslide risk was provided by using these 9 factors. Evaluating by experimental probability index shows that fuzzy model with index of 90% is more capable than entropy method with index of 50% in landslide risk assessment in Kermanshah Township.

Population data is easily accessible and shows the relationship between city size and other socio-economic factors in the city indirectly, so many geographers using this type of data to gain an understanding of the structure of the cities network and distribution of the people in the different levels of urban hierarchy. In fact, urban hierarchy is the best way of space organization in respect to population distribution and function in the area. But the most important part of urban hierarchy is the relationship between neighbor habitats. The dynamics of urban systems could be seen from the traffic of goods, services, thoughts and population among city centers and rural areas. A structured urban hierarchy results in equal distribution of goods and services and facilities in the region. In third world countries, there is an unbalance population distribution in the urban hierarchy. Iran as a third world country is under pressure from recent rapid urbanization and subjected to changes in the urban hierarchy resulted to an inequality in its city network structure.
Literature review: Cities could be known as a reflection of many social and economic processes thorough time that their formations, relations and interactions create a complicated system, so urban systems are known as main part of spatial structure (Rostaii, 1998: 1). Distribution of cities in urban network is called urban hierarchy (Farid, 2000: 396). There is two main interests in the study of urban hierarchy; one based on population size, economic structure and relation between cities and one based on the flow of data and information. In fact, urban hierarchy is the spatial vision of all of the small and big habitats in the national economy. In developed countries, due to existence of many functions and activities in every city and an equality in distribution of economic opportunities, the urban network is like galaxy.
The economic and political concentration processes in Iran in recent decades, led to the phenomenon of prime city in the country and the dominance of Tehran over other cities in urban network. On the other hand in provinces, central cities acted as a prime city in the area and the second city usually is far from it in respect to population and function. These shows the concentration of investment and function in large cities that absorbs resources from peripheral cities to large cities and metropolises. Guialn province like other provinces in the country experienced this situation. In this province, Rasht due to its politic and economic situation, its location in the region and due to existence of required economic infrastructures for production especially in industry and service sectors, is considered as the main pole in the region. This caused the population migration to the city, even from other provinces and led that many other parts of the region remain undeveloped. So the main goal of this study is to analyze the urban hierarchy in Guilan province between 1966 – 2011.The method of the study is analytic and descriptive based on some of the urban and regional planning models.
The results shows that the urban hierarchy in the province is unequal in the situation is getting worse. in this study using different models like differential levels, entropy coefficient, rank size rule, prime city factor, the Jefferson factor, the Kingsburge factor, Mahta factor and Momow factor, it is shown that the urban hierarchy in the province is unequal and in the recent 50 years, the urban network have faced prime city phenomenon. The results of the entropy model shows that the urban hierarchy is facing inequality. According to differential model, more than 94 percent on the cities in the province are in the first group with a low population and only 43 percent of people live in these cities. On the other hand Rasht with a population about 43 percent of the province, is the pole in the seventh group. Also based on rank size rule, it is concluded that the urban hierarchy in the province is very different from the rule. The result showed the dominance of the prime city and the increase of the small size cities and absence of middle size cities. The results of the analysis with the Jefferson factor showed the spatial inequality and the huge difference between prime city (Rasht) and second city (Bandar-e-Anzali). Also the results of the analysis with the Kingsburge factor, shows in inequality in population distribution in Guilan province. Based on the results of four city of Mahta, it can be inferred that the Guilan province faces prime city phenomenon and in the last decade faced super prime city. Analysis of the prime city phenomenon based on Momow factor was similar to other results and showed the existence of the prime city phenomenon in the Guilan province.

The main objective of this study is landslide Susceptibility mapping in the Shirpanah, byusing of Entropy model and evaluation of this model in the zoning of landslides occurrenceof Shirpanah Mountain and the extent of the influence of each of these five factors on theoccurrence of the landslide. In the survey aerial photographs, satellite imagery, topographicmaps, geological maps and field research to identify the area and were photography from theoccurred landslide. In order to landslide susceptibility Mapping in the area of entropy modelwas used in GIS environment. The results show that the distance of the fault, slope,elevation, lithology and slope, have respectively, the greatest impact of landslides in thisarea. The total area of 20 km² (32%) is consist of in high-risk areas and 380 km² (84/48%) inaverage-risk zones. This suggests that the potential risk of landslides in the area is high. Alsothe results suggest that a 60 percent area landslides in the area in the sensitive areasidentified by the entropy model was located. Therefore, the validity of the proposed model isverified and Susceptibility maps produced can be used as a reference in the planning.

Following rapid and explosive population growth in urban settlements that was result of immigration، urban servicing as an important issue in urban planning has been studied equality in services distribution in urban areas causes equality and social justice. This paper investigates urban services distribution pattern (educational، health، cultural، religious and sport) in 5th region of Tehran city and it is main purpose is spatial justice measurement in sub regions of this area. Methodology of this research is descriptive analytical and method of data collection is documental and field method. The results show According to Williamson model and the Entrojpy model for the distribution utilities in sub regions of 5th region of Tehran is unbalanced. inadequate urban services in some sub regions of 5th region. Appropriate site selection for urban services in this region is one of the most important.

One of the most important points in urban system in every country is the condition of population special distribution, that its analyzing is necessary for most of the environmental planning. In our country in recent decades, inconsistency in population locative distribution has been multiplied because of rural migration to middle cities and migration to big cities. We know of inconsistency in population scale produces, inconsistency in other parts such as economic, social and political activities; so we should have new planning for population distribution. In this research, different models and indices such as "Primate City Indexes, Concentration Indexes, Entropy Model, Rank-Size Rule, and the Nearest Neighborhood Analyzing method" are used for searching about the process of changes in urban systems, population dispersion and the location of settlements in Esfahan province during 1335-1385 are analyzed.The results show that although urban system of province is going toward consistency during the last 50 years, but inconsistency and disharmony in urban hierarchy and population special distribution is obvious because Esfahan is the first city and there is a big difference between its population and the other cities. Also, according to the Nearest Neighborhood Analysis method, the pattern of cities dispersion in this province is random and without planning. It is important to note that this analyzing is useful for other provinces.

Entropy not only quantifies the quantity of energy but also quantifies the quality of energy and this quality is the measurement of disorder in a system (Mansly and Colleages, 2008: 145). In summary entropy in the meaning of quantification, discuss the disorder between causes and results and decisions in different topics (Van, 2009: 238).Geomorphologic hazards as a threat cause a lot of damages to human societies. In this concept natural disaster is a harmful element that exists in the physical environment for human (Ayla, 2002: 408). Landslide as one of the geomorphologic hazard cause lots of destructions as direct and indirect costs and plays an important role in destructing human facilities and causes human death, forest destruction and sedimentation in watershed basins. Identifying and classifying the areas that are vulnerable in sliding and its danger has an important role in identifying environmental hazard.According to destructive landslides that happen near Nesar anticline, the location of villages and City of Gilan-Gharb and development facilities in amplitudes anticline, it is necessary to provide the landslide map of the area for better management.The purpose of this study is to quantify the occurrence of Nesar anticline landslides and also to know the amount of each five factors in landslide occurrence. It is also determined to provide the map of landslide risk by using entropy model. Finally the last aim of the article is to propose scientific management ideas of the area against landslide hazard. At first, by using visual interpretation of IRS satellite images, landslides of the studied area were identified. Then, by studying occurred landslides in the area with five factors: litho logy, distance from faults, slope topography, the slope and elevation were defined as effective factors in the landslide occurrence and five informational layers came in as raster data and the amount came in identity. According to the landslide features of the area (shown in table 1), weights were given to the layers and then the entropy matrix were completed (Table 2). Decision matrix contains information in which entropy can be used as a criterion for evaluating it. After calculating the entropy matrix and the whole weight of five factors〖 w〗_j, the amount of Hi which is the landslide risk occurrence was achieved and decisions were made to area based on landslide occurrence. Finally, based on the landslide occurrence zoning map and area features analysis, some management ideas as basically and scientifically were given. The data container existed in matrix was generated as Pij and for every five elements the amount of Ej was calculated and after area model the amount of landslide risk in the area was generated as below: H=0 G+0.24987 S+,0.238713 DF+0.403101 E+108334 A that H: the risk of landslides in the area. G; lithology, S; slope, Df; distance from the fault, E: elevation and A is the slope. Based on the above relationship, map of landslide hazard zoning was prepared in the studied area (figure 4). As it has been mentioned in Table 3, areas with medium and high risk consist 98% of the area was suggested to have the high risk area in terms of landslide risk.According to entropy model calculations based on distance, elevation, slope, fault distance, aspect and lithology had the greatest effect in the landslide occurrence in the area. High incident risk areas are located in high elevated places of anticline. These areas have the highest slope and the height and are located in territory of fault area and in territory of Asmari formation. Moderate-risk zone as longed tape has taken middle parts of anticline and has allocated most of the area. This area has a large slope and the classes of less than 1500 height and lithology Asmari formation has got the most places in this area. Low risk zone in the northern and southern anticline are in classes less than 1100 meter, and is based on the consistent of the soft match’s formations of the area including quaternary, low slope and a high distance of the faults in the area. Final precision zone map with occurred landslide occurred in the study area shows that the 33.33% pitch slips occurred in the moderate risk zone, and 66.66% of landslides were located in high risk zones. This suggests optimal performance of the entropy zoning model in landslide hazard zonation. About 1.93 percent of the region across the low risk and 58.26 percent of the region across the moderate risk zone, and 39.8 percent are located at high risk. Finally, we can conclude that the studied area is a high-risk area. The factor of altitude with amount of 40% had maximum role and the lithology has no effect on landslides risks of occurrence. To manage the hazards of the area these two ideas are suggested:Preparing landslide hazard zoning map of the region and preventing development activities at the margins of less than 2 km from anticline.Prevention of excavation operations and watershed operations in the anticline as accelerating factors of the landslides.