Journal of Spatial Analysis

Environmental hazards include all kinds of hazards in the environment such as natural and technological or natural and man-made. The natural phenomena such as rains or floods are the normal behaviors of the nature which only when they cause damage to the human life, are considered as hazard. The technological events such as road accidents, air pollution and chemical pesticides are always dangerous to human life. Both kinds of two hazards are produced in the context of human- nature relation. For example if human beings avoid flood prone areas there will be no harm or damage. And if human beings control their waste in the urban areas they will never pollute the city. Thus, this is the human who causes risk and damage to his life. The relation between human and the nature is governed by the thoughts and beliefs of human or in general terms his world perspective and philosophy. It is the human perspective and belief which controls his action at any circumstances. A person who believes in the nature as his mother and supporter of life differs from the one who thinks of nature as a sole source to use and enjoy. The first one gets only his basic needs from the environment, but the second person tries his best to exploit the nature for his benefits. Therefore to understand the intensity and frequency of environmental hazards, we should investigate the mental beliefs of people living in different places. A brief discussion of the historical development of hazards will help us to have a better understanding of the philosophical basis of the environmental hazards. From the ancient times up to around nineteenth century life was very simple and man had been using nature only for his basic needs, there was no consideration of environmental hazards. Hazards were considered only as diseases threatening the human life. But later, especially after the industrial revolution, due to the increase of human population and demands, the use of natural resources was exponentially increased far above the production and recovery of the nature. This process triggered the occurrence and expansion of environmental hazards.  The human- nature relation is studied by different scientific fields such ecology, anthropology, and geography from different aspects. The ecologists mostly emphasize on the relationship of individuals with his environment, as the characteristics of environment controls his life. While geography studies the spatial relations between human population and environmental assets. As a result, the philosophical stances of these fields differ substantially. Ecologists want to see whether this relation is dominated by the needs and intentions of man or by the capacity and potentials of the nature. From this point of view three kinds of philosophies were developed including anthropocentrism, biocentrism and ecocentrism. On the other side, geography emphasizes on the spatial distribution of human population on the basis of environmental resources. This spatial relation between human and natural resources is believed to be controlled by the nature or human conducing to the development of two philosophies of environmental determinism and possiblism. Ecological philosophy of anthropocentrism was dominated in the earlier centuries, focusing on the will of human to use and enjoy the nature. In this view, the nature has the instrumental value for human. The result of this philosophy was depletion and destruction of the environment in favor of the human development. But during the twentieth century some philosophers stated that the human does not have the right to harm and damage all living creatures including animals and plants. This view ended with the biocentrism approach.  During the second half of the 20^th century due to the over exploitation of nature by human, the philosophers and ecologists realized that the human kind in order to possess a sustainable living should not harm any members of the environmental system including even rocks, rivers, soil and etc. This approach developed the ecocentrism philosophy. The main controlling force in these philosophies is the ethical stance of humans. On the other hand, the older geographers believed that it is the nature that controls the human distribution and living conditions. The humans cannot change the natural arrangement of the environment and should limit their activities to the natural allowances. The development of the technology after the Second World War changed this view. Some geographers believed that human can change the environment by his techniques and developed the possiblism. The adoption of this philosophy and the growth of industrial development ended with the deployment and damage of the natural resources. It is clear from the aforementioned discussion that in all cases, the main reason for the depletion and destroy of the environment was lack of ethical considerations in human behavior toward the nature. If the ecologists have come with the ecocentrism, geographers developed the geocentrism philosophy. That is, to save the nature and prevent environmental hazards we, as human beings, should preserve the natural arrangement of resources. We should not disrupt the spatial order of any resources, because it will cause harmful results in the environment. For example eroding the soil will deteriorate the vegetation and cause floods and other hazards. The alteration of spatial order of surface temperature has caused the thermal imbalance and hence global disorder and warming. There is no doubt that the relation of each human should be controlled and put in the moral contexts, but to prevent the environmental hazards an overall effort is needed over the environment which is possible only through the preservation of spatial order of natural resources. Spatial management of land resources is the outstanding example of this philosophy and ethic.

Natural disasters are investigated of various dimensions and consequences of natural hazards. As well, they can become as a repeatable phenomenon in the absence of mitigation systems, and could be caused devastating consequences. Resiliency approach as a basis for reducing the negative effects is taken into account to reduce the impact of natural disasters. Today, the two tourist areas of Cheshmekile (Tonkabon County) and Sardabrud (Kelardasht County) as typical feature of regional tourism planning have important potentials for development of tourism. But in recent years they have repeatedly been invaded by floods so that in some cases the impact of economic, environmental, socio-cultural and physical environment is followed. In economic dimension, flash flood destroyed agricultural fields and rural houses and in socio-cultural dimension it has increased insecurity. And finally, in terms of the physical and environmental aspect, it has created the most damage such as adverse changes in the appearance of the landscape, loss of trees, and destruction of public infrastructure (roads and bridges network). It is an approved hypothesis that rural settlements cannot be moved to the riverbank, but have created a situation that endangered abiding rural settlement. Various aspects such as socio-cultural, economic and administrative highly effect on resiliency. Among them, the role of infrastructures such networks, the location of health care facilities, police stations, fire stations and disaster management offices, communication networks (telephone, Internet) are more important to improve resiliency. This paper seeks to answer the key question that is the infrastructure in promoting resiliency after flooding in the two areas satisfactory?  The methodology of the study is objective and analytical analysis is based on the nature and method. The main variables are infrastructures and resiliency. Resiliency as the dependent variable consists of two main components of individual and community resiliency. Required information on the objectives, data integrity and availability has been developed in both library and field methods. In previous studies, library and documentation center is studied. Questions are sorted in the distance range, rated and ranked based on the needs and nature of the research and the knowledge and the education level of the local community. Questions are tested initially and after a measurement of the level of reliability (0.812), which is obtained using Cronbach's alpha. First, to determine the total sample size of villages located in flood risk areas in the two basins 9 villages (50%) were selected. Cochran formula is used to determine sample size. According to Cochran formula for the total population 296 households that included 129 head of households for Sardabrud basin and 167 head of households for Cheshmekileh basin. After the initial survey the collected information is encoded using a statistical software SPSS and then has been processed according to the assumptions formulated. Based on the results of the questionnaire analysis, some indicators, same as access to aid agencies (Crescent) and disaster management center, there were no significant differences between rural settlements such as the two basins distance to the city center is short. The nearest major communication route roads - Branch is located at a distance of 5 km from the city of Kelardasht, but in Cheshmekileh basin there are less than 5 kilometers distance to the main road of the Caspian Sea. That is why the average satisfaction of the local authorities in these areas is much higher than Sardabrood basin. Check out the highlights of each area residents is showed more satisfaction on facilities and services infrastructure in Cheshmekile. Result. To understand the relationship between resiliency and infrastructure used is the correlation coefficient between these two measures 003/0 there is level. This relationship of mutual relations, the improvement of infrastructure in the area with 99% probability of increasing population resiliency against natural disasters (floods) within it. The average calculated for the physical aspects - infrastructure represents the position of the component. Ring roads in northern cities, near airports such as Ramsar Branch, and there are several large medical centers, access to police stations in both basins are made ​​from the perspective of the respondents favored the status of this criterion is to be evaluated. However, among the subset of infrastructure, the roads are better than others. The reason can be attributed to the investment and construction of new networks of communication. In the case of energy network, although the topography of the area is caused that part of the basin, some of villages such as Gavpol, Letak, Drazlat in Cheshmekile basin and Lush, Krdychal and Roudbarak in Sardabrood basin was still stay deprived of the gas network but have favorable drink water and electricity network. However, keeping the population in the rural area is largely dependent on the infrastructure. Resiliency in relation to rural and infrastructural facilities, access to places of temporary accommodation is very important but in this particular field in any of the villages still planning has been done.

_{Settlement's Systems are evolving as any other systemic phenomenon. Multitudinous and different factors are involved in settlements evolution and shaping. One of the effective factors on settlement system evolution is society public power intervention and planning based on approaches which had been approved as predominant paradigm on its time.}    

_{Creation and reinforcement of growth poles was considered as national economic growth instrument in developing country, till 1970. It was supposed that growth pole effect will cause surrounding area's prosperity. The theory of Perroux growth pole was one of these theories in regional planning.}

_{During recent years, some rural settlements of country have experienced physical-spatial changes and have transformed to Towns. These processes have been rising based on theoretical approaches related to spatial development or according to political consideration and election requirements. This trend imposed inconsistency landscape to settlements, and has been the source of crises and economic, social, management and environmental disasters.}

     _{The main question in this research is "what has been the environmental subsequent of Maklevan evolution based on rural planning and also political consideration, and alteration it into town from 2013? Study area of research is Maklevan in Fuman county, Guilan province, Iran. Required data are collected from documents, Satellite images, and field study and questionnaire fulfillment. Collected data has analyzed based on variable frequencies distribution and locational-spatial approaches. Documents show that Maklevan development trend was done without passing any gradual organic process and only inspired from growth pole theory. Assignment the role of service center (services including health, education, agricultural, post, bank, administrative, business services, and Saturdays week local market), creation of main big avenue and concentration of investment (although limited) with the purpose of hinterland development and population centralization, are some of these evidences. That outcome of current development trend in Maklevan is creation a situation which has reinforces incidence and prevalence of environmental hazards including:}

• _{Destruction and loss of agricultural soil, the soil of Maklevan was very rich for rice cultivation, because it is provided from alluvial of Masuleh Rudkhan River. Deficiency of arable soil is considerable, therefore arable soil elimination could result to food insecurity, unemployment, extension of unofficial jobs in the region and urban fringes. Research depicted that the area of paddy lands were reduced from 1.27 square kilometers to 0.8 square kilometers during 5 years (2010-2015), which means that 46 percent of rich paddy lands has been reduced. Agricultural lands and forest has been destructed by establishment of unnecessary roads and villas. Due to above mentioned changes the area of Maklenan (constructed area) was increased from 6.12 square kilometers to 12.11square kilometers during last five years (2010-2015).}
• _{Destruction of forest and flood extension risk, regarding to climate situation of area, topography and kind of soil, the probability of flood risk and landfall has been increased. The evidence of land destruction, housing and bridge by the flood obviously can be seen in the point of bridge between Maklevan and Kondesar.}
• _{As the experience of Masuleh shows, concentration of population in a location such as Maklevan will intensify the pollution of water resources especially Masuleh Rudhan River, because of the drainage of all wastewater are into this River.}
• _{Undermining the foundations of traditional production and its subsidiary production, elimination of handicraft production and vernacular architecture resulted into the attenuation of area tourism foundation. Extension of Tourism activities was one of the main goals of Maklevan development.}
• _{Due to Physical disturbance, functionally Maklevan has become a space that is urban space nor rural. Livelihood system shows the coexistence of agricultural, animal husbandry, service and business activities. Modern buildings are seen besides the cottages.}

     _{As a conclusion it can be said that growth pole theory is not suitable approach for settlements development in the country, or at least in the studied area. Since land use control and management should be in accordance with existing local reality. Land use planning process should be responsible of three fundamental questions: where are we? Where are we going? How can we arrive there? Rational decision making, different situation flexible approaches, emphasis on conservation of sustainability, harmony with nature, can prevent from adverse consequences of interference in nature. Therefore, abrupt town creation without gradual processes and using indigenous knowledge and people participation doesn't lead to creation of sustainable cities, but its outcome will irreparable harm to people and natural resources.}

Illegal sale of extra building density (footages) and building violations all are being considered as the most important measures regarding urban management rent issues in Tehran, between 1991-2001. This in turn, intensifies the occurrence of building violations and instability regarding to Tehran’s spatial organization during the mentioned decade. This study aims to investigate the type, rate and spatial distribution of building violations and spatial-physical changes in districts of Tehran metropolis. The objective of this paper is to identify and explain the types of urban management functions and their resulting consequences in Tehran metropolis. The distribution pattern of building violations and some of their impacts are the major outcome of this research. This research based on its objective, possesses applied nature at strategic level. This study is based on spatial-structural and analytical approach. The under study area are all constructions in 22 districts of Tehran metropolis. It further supports the application of documentation. Data analysis demands descriptive statistic as well as GIS technique. This study suggests that 59% of all the issued construction permissions are associated with zone 1-5 followed by 67% which pertains to zones 1-7 between 1993-2002. These northern zones possess large holdings, good location, comparative advantage and very beneficial vertical density. About 117028 building licenses contain extra building footage problems. Total area of these violations occurrences has been amounted up to 32710210 meters. The distribution of the extra building footages associated with different zones represents a sharp but regular gradient with north-south direction. Moreover, this study suggests most of the governmental institutions committed violations associated with illegal land possessions as well as construction of illegal land uses in the area of public lands during 1990 decade. In addition, 249 illegal constructions pertaining to public institutions were identified by 2002 out of which 137 (55%) were visited by Tehran's municipalities.

     The statistics associated with Tehran's building violations which referred to variance number 1 of 100 municipality law represents a high magnitude and level of violations occurrence during 2000 decade. The total area deal with these building violations inspected by these commissions has been amounted to be 2810559 and 1565644 square meters in 2001 and 2008 respectively. However, some of these types of violations informally resolved without ever referred to this corresponding municipality commissions. Most of these violations are associated with land use changes (56.98%). This is followed by violations pertaining to extra density footages. It is argued that 3.5 violation cases registered against each issued construction license between 1997-2008 in Tehran metropolis. Generally, the issuances of building permits and sale of extra construction density and footages were dealt with market demand and geared toward gaining its resulting rents. These measures and actions were contradicted with Tehran's master plan principles. These violations possess a sharp gradient with north-south directions in Tehran's south and north economic-social basins. These activities are harmful to public interests and simultaneously very beneficial to very small inclusive private group which possess capital and lands. This in turn, is associated with lack of a master plan and subsequent spatial equalization, imbalanced land uses per capita and services and cons equally. Tehran's unsustainable physical development, For instance, Tehran's residential per capita in 1991, 1996, and 2001 has been amounted to be 20.35, 22.51 and 23.88 square meters respectively. This amount is associated with 17.37% growth rate unit during 1990 decade. However, Tehran's residential per capita in 1996 and 2001 have been underestimated and amounted to be 17.8 and 12.8% respectively compared with 1995 estimation (27.39 square meters). Tehran's existing commercial per capita in 2001 (2.05 square meters) compared with previous estimation of 1996 (0.87 square meters) shows 136.44% growth. This has been resulted from change in existing residential unit in central part of Tehran. Tehran's military per capita land use in 2001 (7.50 square meters) compared with the previous estimation of 2006 (1.5 square meters) shows 400.87% growth as well.

Wind erosion is important in areas with less than 150 mm of rainfall Measuring the extent and severity of wind erosion in many countries, including Iran, there is no station to measure wind erosion sediments and so the deposition estimation methods rely on empirical models so that in many cases there are measurement errors. With estimates wind and water erosion and deposition potential compared using IRIFR EA and MPSIAC models in semi-arid Nematabad Bijar watershed concluded that the IRIFR model quantitatively and qualitatively accuracy and, due to a 22.6% wind erosion and 77.4 percent water erosion effective in reducing the fertility of soil (Ahmadi et al, 2006). This study estimates deposition and wind erosion potential using IRIFR method in esfarayen Miandasht region.

In this study, the data collection and basic research in the area uses of maps such as topography, geology, geomorphology, land capability, vegetation, and include information and meteorological studies, field visits, and the prevailing wind direction in the form of desert and question naires were completed and work units to people in another way - specific preparation, IRIFR experimental model of wind erosion in each of the work units were defined the land to wind erosion susceptibility map was prepared using IRIFR and deposition potential temperature using the relationship between precipitation and sediment yield were obtained. After scoring each of the factors affecting wind erosion facies geomorphology (erosion) and the sum of given annual sediment production rates, the rate of erosion severity maps were produced in ArcGIS environment. Soil erosion severity and sedimentation of the area, were obtained nine factors affecting wind erosion scores are considered in five classes.

The results showed erosion class I (very little) with an area of ​​about 11287.21 acres more land erosion. This erosion class is includes geomorphological facies 1-1-2 (water erosion on the erosion piedmont) and 1-2-2 (water erosion on the apandajz piedmont). and class IV (erosion) with an area of ​​6682.45 acres, is the second largest in the area. This erosional class also includes geomorphological facies detachement region - farm lands – fine desert pavement and the stream. Among stream geomorphologic facies (5-3-2) and arable land (2.3.2) have the most the highest amounts of precipitation.

Wind erosion in the miandasht region,  include 8 erosional form and severity of erosion stream facies, etachement region, farm lands and fine desert pavement have high erosion rates. Topography is flat and low-slope land in the north eastern parts of the area where directly affected by the prevailing winds, led to the destructive power of wind improve. One of the best ways to combat wind erosion in the area around the farm and out carminative Miandasht construction area of agricultural land around the study area and the direction of the prevailing winds in parts of the east, the north east is. The study area of wind erosion control perspective is a set of constraints and capabilities. Fine tissue silt abundant salts in the soil and reduces adhesion of soil particle aggregate structure fragmentation and reduce the threshold velocity of wind erosion in the region and the area are prone to erosion. Existence drought resistant species such as Haloxylon prsicum Artimisia sp. in the region can be developed that will help to control wind erosion.

Abstract

Coastal areas are dynamic and complex multi-function systems. A wide number of often conflicting human socio-economic activities occur in these areas. These include urbanization, tourism and recreational activities, industrial production, energy production and delivering, port activities, shipping, and agriculture. Coastal systems are also characterized by important ecological and natural values; their high habitat and biological diversity is fundamental to sustain coastal processes and provide ecosystem services which are essential also for human well-being. Human activities often conflict with the need to preserve natural coastal systems and their ecological processes.

   One of the most important applied problems in coastal geology today is determining the physical response of the coastline to sea-level rise. Predicting shoreline retreat and land loss rates is critical to planning future coastal zone management strategies and assessing biological impacts due to habitat changes or destruction. Presently, long-term (>50 years) coastal planning and decision-making has been done piecemeal, if at all, for the nation's shoreline. Consequently, facilities are being located and entire communities are being developed without adequate consideration of the potential costs of protecting or relocating them from sea-level rise-related erosion, flooding and storm damage.

   Research on major natural disasters and related technologies has become an important subject in geography and its application. The complexity analysis of the issue is possible in a system approach to theoretical and applied geography also in the integrity of physical and human geography.

Due to the Caspian Sea water-level fluctuation in coastal zone of Babolsar which happens very quickly in decade scale, the observance of safety element will be possible in light of the integrated coastal zone management with determine of sea frontage. In this context, geography and especially geomorphology is a main basic in this kind of coastal management.

   Detection of sea level fluctuations causing morphological changes in the earth surface and damage to facilities, clarifies the necessary of the present research to study the role of geomorphological indices in Babolsar coast zone constructions. The Coastal Vulnerability Index (CVI) is one of the most commonly used and simple methods to assess coastal vulnerability to sea level rise, in particular due to erosion and/or inundation. The CVI provides a simple numerical basis for ranking sections of coastline in terms of their potential for change that can be used by managers to identify regions where risks may be relatively high. The CVI results can be displayed on maps to highlight regions where the factors that contribute to shoreline changes may have the greatest potential to contribute to changes to shoreline retreat.

In this study, coastal vulnerability index (CVI) is used as effective geomorphic index on Babolsar coast zone constructions. In first, primary and secondary vertical frontages were detect using topographic data (digital elevation model with cell size 10-meter) and Caspian Sea water-level fluctuations.

   The primary vertical frontage includes areas which have the lower height of -24.7 meters and secondary vertical frontage consists of areas which are placed between -24.7 and -23.5 meters. Following this issue, within the primary and secondary vertical frontage, coastal vulnerability index was performed based on five parameters, elevation, slope, landform, land use and distance from main road. According to the coastal vulnerability based on natural (NCVI), human (HCVI) and total vulnerability index (TCVI), large parts of the Babolsar coastal zone (especially in Fereidoonkenar and Babolsar city areas) placed in classes of high and very high vulnerability.

   With respect to detection of the primary (level -24.7 m) and secondary (from level -24.7 to -23.5 m) frontages in Babolsar township area, 345 and 7177 hectares of the township lands are located in the primary and secondary vertical frontages, respectively. The most area of the township land uses in primary frontage belongs to natural structures that have 153 hectares of area. Survey of lands distribution in the height of -24.7 to -23.5 m (secondary vertical frontage) shows that agriculture land use has the most extent in this area; the area of this land use is 5293 hectares that equivalent to 74 percent of all lands which are located in the secondary frontage. Urban and industrial structures have 45 and 522 hectares of area in the primary and secondary frontages of Caspian Sea in Babolsar Township, respectively.

Today, urban and regional issues related to sustainable development is a key challenge for policy-makers, planners and specialists in various disciplines. Geomorphologic studies can be useful and effective in analyzing and deriving acceptable means to assess the growth and development of the city, and to set criteria to determine the directions of urban development.    Landslides range of motions not only affect the human structures such as roads, rail lines and residential areas, but also lead to casualties. Tehran metropolis mountainous basins, including Kan, Vesk, Farahzad, Darake, Velenjak, Darband, Golabdare, Darabad, Sorkheh-Hesar, and Sohanak due to the lithology, geologic structure, weathered sediments, steep slope, rainfall and poor urban development are considered as one of the places where landslides are a range of geomorphologic processes can be studied.    At this research, using Fuzzy and AHP methods and by the use 8 factor variables such as lithology, elevation, slope, aspect, annual rainfall, maximum daily rainfall, distance from fault and drainage system. the map of landslide zonation hazard in mountainous areas of the city is prepared to determine risky strips. After the standardization of the criteria for the occurrence of landslides and using frequency ratio method and fuzzy model and functions, Landslide hazard zonation maps was prepared for evaluating from the fuzzy sum, fuzzy product and fuzzy gamma operator 0.8 and 0.9. Then the final map of landslide zonation, obtained from the above-mentioned method matched with the map of urban regions in mountainous areas. In this way the constructed region have been distinguished from very high and very low hazard zonation.    Lithological studies showed that most of the basin areas covered by Karaj Formation. About 45/7 percent of units with sliding movement in areas with "rock crystal tuff and tuff lytic green, with the layers of limestone" (unit Et2) of the intermediate tuff formation occurred. Cross of faults distance map with landslide density map showed that about 33/1 percent of landslides occurred within 200 m of the fault lines and 78/4 percent of landslides occurred within 500 m of drainage network. Most sliding movements (60/2 percent) in the range of 1900 to 2500 meters altitude and about 35/3 percent of this type of range of motion in height of 1500 to 1900 meters occurred. This area is about 81/6 percent of sliding movements in slopes between 15 and 40 degrees (26/8 to 83/9 percent) and about 17/6 percent on slopes less than 15 degrees (26.8 percent) occurred. In the aspect, sliding movements of the basin, mainly in the south-western slopes (about 23/2 percent), the South (about 17/5 percent), West (about 16/6 percent) and Southeast (about 77/1 percent), northwest (about 33/1 percent) occurred. About 88/9 percent of sliding movements in areas with average annual rainfall of 244 to 280 mm occurred. According to the zoning map, 12 percent of mountainous basins area (approximately 10,057 acres) is in the zone of very high risk, 33 percent (approximately 27,723 acres) is in high risk areas, 20.5 percent (approximately 17,143 acres) in the moderate risk zone, 30/ 7 percent (approximately 25,672 acres) in area and 3.8 percent of the total area of the basin, low risk (approximately 3172 acres) located in low risk areas. The results showed that approximately 5.2 hectares (about 0/05 percent) of the urban in zones with a huge landslide, about 51/5 acre (approximately 1 percent) in zones with high landslide risk and about 821 acres (equivalent to 25/16 percent) in the medium risk landslide zones are located and developed.     The final results indicate that some mountainous regions of Tehran Metropolis are apt to landslide with middle to high risk. (Apart from strengthening the vulnerable area) avoiding these areas is an important solution to decrease damages caused by landslide.

Thunderstorm is one of the most severe atmospheric disturbances in the world and also in Iran, which is characterized by rapid upward movements, abundant moisture, and climatic instability. Since this phenomenon is usually accompanied with hail, lightning, heavy rain, flood and severe winds, it can cause irreparable damage to the environment. Investigation of spring thunderstorms has a great significance regarding the irreparable damages can cause by them and also because of the higher frequency of this phenomenon in the spring and the necessity for preparedness and disaster mitigation actions. To identify the locations of the major thunderstorm risk areas, the entire country with an area of 1648195 square kilometers, which is located between the 25°-40° north latitude and 44°-63° east longitude is considered.     Spatial distribution of the occurrence of hazardous spring thunderstorms was analyzed using a series of monthly thunderstorm frequency data obtained from 25 synoptic stations over a 51-year-long period (1960-2010). Ward's hierarchical clustering and Kriging methods were used for statistical analysis. Initially, total number of thunderstorms in April, May and June were considered as the frequency of occurrence of thunderstorm in different stations in the spring. Measure of central tendency and dispersion which consists of the sum, minimum, maximum, range and coefficient of variation, standard deviation, and skewness were used to clarify the changes of thunderstorms and to determine the spatial and temporal climatic distribution of spring thunderstorms. An appropriate probability distribution function was chosen to determine the distributions of the data.  Due to the large volume of data and the uneven distribution of stations, cluster analysis and kriging methods were used to classify different regions into homogeneous groups for zoning and spatial analysis of spring thunderstorms, respectively. The statistical characteristics of spring thunderstorms were reviewed and fitted with a 3-parameter Weibull distribution. Regions considered for this study were classified in four separate clusters according to the simultaneity of thunderstorms in the spring. After zoning, it was found that the highest rates of thunderstorm took place in the northwest and west of country. The northeast of Iran has the second highest number of thunderstorm occurrence. The least number of thunderstorm event had happened in the central and southern half of the country.     According to the descriptive statistics parameters, maximum number of thunderstorms occurred in May.. Based on the results of the cluster analysis, there is a similar trend in the central and eastern regions, the rest of the country was clustered into five distinct homogeneous regions, including the northwestern, western, southern, northern, central northern and northeastern regions. Zoning results indicate that the highest number of the occurrence of this phenomenon in the country is concentrated in the northwestern and western regions. Higher frequency of occurrence of thunderstorms in the northwestern and western regions may be attributed to local topographic conditions like high mountains, orientation of the terrain, solar radiation on slopes and existence instability conditions, hillside convection, the presence of water resources and specific climatic conditions in these areas. In addition, as a result of a continuous surface obtained by the method of interpolation with the least amount of systematic error and also the use of correlation functions for recognizing the spatial structure of the data and estimating the model error when using the Kriging method, the weights are chosen in order to have a more optimized interpolation function. Also the cluster analysis may significantly reduce the volume of operation without affecting the results and will help in finding a real band due to more appropriate classification of different geographic areas with greater spatial homogeneity and minimal variance within the group. Based on the results of the spatial analysis, it is clear that Kriging and Ward cluster analysis methods are appropriate for thunderstorm zoning and classification of different regions according to occurrence of thunderstorm, respectively.

Environmental hazards are considered as one of the main obstacles for achieving sustainable human settlements development (particularly in rural areas). Today, with a new look at crisis management, using all managerial, organizational and planning accomplishments before the crisis, is an essential and rational concern. Rural settlements of the country along with cities always are threatened by a variety of environmental hazards, but what makes these spaces different from the cities is the high-intensity of vulnerability due to its physical decay texture. In this regard, one of the key elements in confronting the possible crisis that must be taken into account is the crisis management bases in which all prevention, preparedness and response measures, including disaster relief, temporary accommodation for the injured, etc. is provided and minimizes the consequences of potential crisis. Being located in the Kahrizak fault zone and the placement of hazardous industries in this region, is the main reason for selecting Kahrizak district as a study area in this research.    To achieve goals of constructing crisis management bases which indeed is the tactic ability of crisis management system (CMS), it is required to set the site selection criteria and standards for constructing them in such a way that provide more operational activities and develop the level of their impacts. In this regard, in the first step, the final criteria for site selection of crisis management base were selected after reviewing previous studies. Then, after surveying the experts and also the localization of criteria on the basis of area condition, seventeen final criteria were determined. For quantitative criteria, data were collected through organizations and reference centers and for a single qualitative criterion (cultural convergence), the questionnaire instrument used in gathering data. After collecting data using library and field methods, a combination of two models: fuzzy logic and hierarchical analysis process (AHP) applied for optimal location of crisis management base.    To determine the impact level of each criterion in the site selection process in two above-mentioned models, the standards for each of the seventeen criteria was determined with the help of combination method. The standards of some of the criteria determined using the standards in related organizations and some other standards proposed by experts and also through the localization by the researcher. Afterward, initially fuzzy standardized common scale maps produced from all information layers in a raster format. Then selected criteria by experts in the format of AHP model were compared with each other through pairwise comparison method. As a result of this comparison, the weight of criteria was determined which indicates the preference degree of each criterion over the others. At last, all standardized (fuzzified) layers multiplied in each of the final weight resulting from Analytical Hierarchy Model and in total converted into weighted fuzzy layers. In the next step, following the process of fuzzy model, fuzzy addition and multiplication operators were applied on output layers. Finally, to modify the layer resulting from fuzzy addition and multiplication, the Gamma operator was used. As such, after producing layers of different fuzzy gammas, essential assessment was conducted for selecting appropriate and ideal gamma. In order to do this, produced layers of each fuzzy gammas were compared with the study area for optimal location and the establishment of crisis management base. Since the gamma 0.9 had the most conformity to suitable zone in the layers of study area, it was selected as the appropriate gamma. However, to ensure the selected location, field study was conducted.     According to the research findings, the following conclusions were obtained: Site selection criteria for rural crisis management base not only has an environmental essence (built and natural), but socio –economic criteria are important as well Effective criteria for site selection of rural crisis management base, affected by regional and local requirements are not the same. Localization of criteria is a necessity that should be considered in site selection. Standards based on site selection criteria depending on the type of services, goals and location at multiple spatial levels (regional, local, urban and rural) is different: in the other words one size does not fit all Site selection is not only based on the location within overlaying information layers by using the models, but the final choice is done after field evaluation and visit.

Climate is one of the important natural factors that affect all stages of life, particularly human exploitation. Selection of the type of clothing, housing, cultures, architecture, civil engineering, and settlements are influenced by climatic factors. It can be said that the climatic circumstances of the surface of the earth and atmospheric circulation patterns have an important role in shaping and organizing the environment (Alijani, 2009). In some cases, the normal weather conditions become abnormal and cause many damages, which are mostly catastrophes rooted in climatic changes, such as hail, frost, heat and cold waves, floods, storms and so on. Blizzard is one of the atmospheric phenomena, which happens as the result of snow combined with wind (15 meters per second), and low temperatures (below zero°C), and it causes severe losses.

Due to its special geographical location, Iran is placed in the transition region of the large-scale patterns of common tropospheric circulation, and is the intersectional place of the of extra-tropical and tropical circulation system. This feature along with its complex topography caused the land to have a considerable climatic diversity. The climatic diversity makes the various climatic phenomena to be observed with intensity, energy, and different frequencies, therefore, the climatic phenomena with high intensity always causes damage to natural resources and the human civilization. This undesirable phenomenon is called climatic risks. Since the West Azerbaijan Province is located in mountainous areas and high latitudes, the feature is triggered many climatic risks such as flood, hail, snow, snow storm, and so on. Therefore, snowstorm is one of such phenomena that have occurred every year or every few years due to the specific characteristics of the region and have caused damages in the fields of transportation, energy, livestock, closeness of schools and offices.

The purpose of this study is the statistical and synoptic analysis of snowstorm in west Azerbaijan province. Therefore, the data related to the present weather codes were collected during the period 1986 to 2009 from the National Meteorological Agency. The data related to the weather codes entered in Excel, and data related to the snowstorm were selected through Filter tool and isolation of codes related to the strong snowstorms (codes 37and39) and weak snowstorms (codes 36 and 38). Then the data related to the snowstorm was entered in SPSS, and the statistical analysis was performed. In the next step, three cases of the strong and common snowstorm (code 37 and 39) were selected for synoptic analysis. Then, the synoptic maps of the different layers of the atmosphere were selected as the samples for strong snowstorm for the days before the event of the phenomenon, the day of event, and the day after the event of the phenomenon by the using of the accuracy of 2.5 degrees from cdc.noaa.gov website. The study area has been selected in 10 to 80 degrees north latitude, and 15 to 90 degrees east longitude for identifying the patterns that affect West Azerbaijan Province. The data was received on wind speed and direction in digits from the National Center for Environmental Prediction. Then, the maps of the wind direction and speed were provided in Grads. Finally, the daily analysis and interpretation of pressure (500hPa at sea level), instability (700hPa level and the ground level), Earth's surface temperature, wind speed and direction maps for 700hPa level, and identification of patterns that have caused snowstorm in West Azerbaijan province were carried out. Statistical and synoptic analysis of snowstorm phenomenon in West Azerbaijan province during was performed in the period 1986 to 2009. To do this, using codes 36 to 39, which represent a variety of snowstorm (weak and strong), the frequency of snowstorm days on monthly and annual average, distribution of the snowstorm in the extracted stations, the frequency of strong snowstorms (codes 37and39), weak snowstorms (codes 36 and 38), all types of snowstorms (codes 36 to 39), and the frequency of storms in the station level were compared. Out of 322 snowstorms occurred during the period 1986 to 2009 in seven synoptic stations 108 have been determined as strong snowstorm and 214 as weak snowstorm. In order to analyze the synoptic snowstorm in West Azerbaijan province, in the first place, the strong snowstorms were identified, and then five of the strong and comprehensive storms were selected for the synoptic analysis. The snowstorms of choice are as follows: On 18 January 1986, on January 19, 2000, on February 7, 1992, on February 5, 1997, and on December 25, 1990.

For applying the study, pressure maps, Omega (700hp level at ground level), Earth's surface temperature, and wind speed and direction at 700hPa were analyzed, and patterns and conditions that are causing this phenomenon in the West Azerbaijan province were identified.

      In this study, to perform statistical and synoptic analysis of snowstorm in Western Azerbaijan province, the statistical data were examined during the period 1986 to 2009 from 7 stations, and the results of the statistical analysis showed that:

• Out of a total 322 snowstorm event days of 7 synoptic stations during the period 1986 to 2009, 108 and 214 days were strong and weak snowstorms, respectively.

• Review the annual and monthly snowstorm during the study period showed that the 1992, 1997, and 1989 with a total of 69, 29, and 25 days, as well as the 1999, 2006 and 2007 with 0, 1, and 1 day have the most and the fewest days of snowstorm, respectively. The statistical analysis showed that the snowstorm phenomena happened in January, February, March, April, November, and December. January had the most and April had the fewest snowstorms with 119 and 3 days, respectively. February with 39 days, and April and November, with the number 0 and 1 had the most and the fewest days of strong and constant snowstorms.

• Distribution of the snowstorms in the stations indicated that out of the studied seven synoptic stations, which had a great impact on the synoptic situation of the region, topography, and height, Sardasht-Maku station had the most, and stations of Khoy, Mahabad, and Orumiyeh by having no snowstorms had the fewest days of snowstorm.

• The results of the maps of the different levels of the atmosphere and Earth’s surface in the days before the storm, event day and the day after the snowstorm were selected for the snowstorm pattern, which indicated that the snowstorm in the winter due to low compliance pressure formed in the earth's surface with synoptic patterns of middle levels of the atmosphere have provided the conditions for the event, in a way that among the sample cases of the strong snowstorms occurred in the West Azerbaijan Province two circulation patterns were involved in the formation of natural hazards: The Caspian Sea low pressure pattern- Eastern Europe high pressure pattern and the north of the Black Sea low pressure pattern.

Today urban livability reflects a powerful discourse in urban development and city design that is prevalent in urban planning literature suggests that there is an ideal relationship between the urban environment and the social life .On the one hand, the livability indicates the strong urban influence and attraction. On the other hand, the livability will further strengthen the urban connectivity and influence by attracting more investment, human and cultural resources. The livability of a city is closely related with a healthy and ecological city and sustainable urban development. This study aimed to measure the livability in the neighborhood of  region(2) of Sanandaj city and research methodology is descriptive-analytical.  A base map of the study area was prepared using Arc view Software. The region (2) is located in the central parts of the Sanandaj city.and the population of region is 239,965. The sample size was calculated using the formula Cochran. Therefore, 370 residents of neighborhood filled the questionnaire and expressed their viewpoint about the indicators of livability. A data collection method with respect to the merits of subject is Library and field method. The filled questionnaire by residents of different aspects of livability is measured. According to the Social features, facilities, geographic, economicfacilities and services available in the region , urban managers and experts have weighted the dimension and index of urban livability.The index of economic, social and environmental livability was calculated and  the sum of these three dimensions is considered as total livability.To assess the livability of neighborhoods, data from filled questionnaires by people have been analyzed by the software GIS, SPSS and Excel. Using hot spots, three indicators and total livability of each neighborhood displayed.The results of the analysis of economic indicators showed that the areas in  the western parts of the city  are hotter and more color spots, But in the East and South East areas neighborhoods, like Shahrdari, Sepahdegaran  have  in colder and less color spots. This actually shows the cluster distribution of economic indicators. Also the results of the analysis of social indicator showed that spatial distributon is cluster neighborhoods like Khosow Abad, Masnav, Chahar Divari, Mobarak Abad are in the hotter spots and neighborhood Adab, Varmaghani, Hassan Abad are in colder spots.The resualts for environmental indicator reveals  that spatial distribution is cluster. Mriginal neighborhoods are in colder spots and Nezam Mohandsi and Shardari town and Degaran allocated the lowest Z. In contrast neighborhood like Mobarak Abad and Khosrow Abad are in hotter spots. Analysis of hot spots for total livability implies that neighborhood in West area of city follow clusters of  hotter spots and the South East neighborhood follow colder spots. This can result in injustice in space services and  the lack of performance in order to improve the quality of the environment and quality of life in area, livability is defined as one of the aspects that could contribute to a high quality of living, because high quality of living will affect citizen's lifestyles, health condition and shows stability of the built environment. most researchers agree that livability refers to the environment from the perspective of the individual and also includes a subjective evaluation of the quality of the place so measurement of urban livability   for all places promote the perception of urban managers and planners and with such knowledge, the path will be open for practical, creative and futuristic management of the urban environment. In relation to the livability of neighborhoods to each other, spatial and non-spatial analysis shows that areas with different ratings are compared to each other. With respect to results of measurements of livability: centrally located neighborhood is more livable than their peripheral counterparts which may calculate that location has significant importance in the pattern of livability. Therefore spatial distribution of dimension and index of livability is not the same extent.The results showed that between main dimensions of neighborhood livability is not different. But in terms of spatial distribution, three dimensions are not equally distributed and it is cluster. Ranking based on total index indicate neighborhood of Khosrow Abad with score (3.279) is ranked at first and Sharif Abad with score (2.228)is ranked at last.

In advance crisis management of natural disasters, particularly earthquakes in urban areas is one of the necessities of urban planning. However, nowadays with the help of technology we can determine the risk of crisis in the urban areas and settlements. Due to population growth and increasing urbanization, the occurrence of natural disasters such as earthquake can cause terrible disasters in the cities. The need to reduce the vulnerability of the cities is one of the main objectives of physical planning of urban areas and city designing. The city of Kashmar in one of Iran's earthquake-prone areas (due to its adjacency to the Lut fault)  has  witnessed the sever destruction from  the September 25, 1903 earthquake (with a magnitude MS= 5/9) and Torbat Haidariye earthquake on 25 May 1923 (a magnitude MS= 5/8). It is very important to identifying vulnerable areas to earthquakes in advance. Accordingly the objective of this study is to identify the vulnerability of urban areas of  Kashmar city to the earthquake by using VIKOR model of urban planning. The vulnerability of the city was computed on several parameters among which the population density is the most important one.

     In order to carry out the research eleven population and other indices were used. These indices are as follows:

1. Building Materials;
2.  The quality of the building;
3. Old buildings;
4. Number of floors;
5. The materials of facades of building;
6. Compatibility of land uses;
7. Access to network passages;
8. Distance from the main fault;
9. The building density;
10. Numbers of population; and
11.   Relief and rescue centers.

 By using the VIKOR ranking model the vulnerability of the urban areas of the city was identified and classified. The correlation between the city vulnerability and each of these indices was calculated. The impact of the indices on the city vulnerability was calculated according to the AHP model.

      The results of the study showed that the zone 3 had the highest and the zone 8 had the lowest physical vulnerability in the model. Based on the results of the Spearman correlation, the impact of the population on the vulnerability was about .5866 which is relatively noteworthy.  This means that highest degree of vulnerability can occur in very populated areas of the city. All of the city was regionalized according to the degree of vulnerability to earthquake.

The lack of amenities and facilities such as health centers, fire stations, building materials and weak areas within the city will increase the losses and casualties. It is noteworthy that comprehensive city planning in the future must improve and the needed facilities should be provided. In addition providing services to the residents, especially in critical times after the earthquake should be provided.

The best path to development is the primary focus on the potentials and threats of the environment and accordingly efficient use of the land. In this regard, it has a closely relation between agricultural and rural development and natural resources. The type of land use is a main factor in soil erosion and sediment production in the watersheds. In this research, it has been studied and evaluated the soil erosion in the Aleshtar plain catchment with aim of developing agricultural exploitation.

This study is based on PSIAC model. The PSIAC method has been designed based on the estimating of sediment potential with 9 important effective factors contains surface of the earth, soil type, weather conditions, runoff conditions,  topography,  land cover, Land use, current erosion condition, slope of river erosion and sediment transportation in the soil erosion. In the process of this research using geographical information system (GIS), the mentioned data analyzed, integrated, and finally layers of information were prepared. Followed by extraction of units, erosion zoning of the studied area has been implemented.

The total area of the studied area is 80305 hectares and is located in the northern parts of Lorestan province (southwest of Iran) and geomorphologic features are  almost mountainous and 39.65% of their area are mountains and hills. The maximum altitude is 3600 meters; the minimum is 1500 meters. and the average height of 2116 meters. Its climate type (based on De Marten method) is Mediterranean climatic pattern exists and  the average annual rainfall is 506 mm. The Aleshtar City is the only urban center in the area but there are 208 villages. The economy of the settlements is based on agriculture (farming, gardening and animal husbandry).

     Based on the findings of this research, 37.92% of the total land area of the basin is eroded (classes I, II, III). The land consists mainly of low slope and plain basin and is suitable for plantation (I). In this zone, 98 rural settlements (47.11%) are located. Relatively deep soils and flat are the features of these lands so the rate of erosion is low (II). 84 rural settlements (40.38%) are classified in this class. Shallow soils, these lands need to have conservation measures and can be managed under the operation of arable, rangeland, forest and resorts (III). 1 rural settlement (0.48%) is located in this class of erosion. 62.09% of the total basin land is located in the classes IV and V. A total of 25 rural settlements (12%) are located in this class. These lands under certain conditions can be planted; because erosion in the land is relatively high and the limitations in comparison with class III is more. Therefore they need more protection operations for exploitation. Also in these lands that are located in the high topography of the basin; erosion is extreme (Class V), which makes arable exploitation impossible.

    Generally the land use in Aleshtar basin is faced to erosion limitation, so the control of the soil erosion and soil conservation and water resources management are essential. However, the locations of the most rural settlements were based on low to moderate erosion zones which indicates that the ancient has had a traditional preparatory thinking.

    As a general recommendation, it can be said that in any location, including rural and urban settlements, along with the development of agricultural activities, attention to the erosion and zoning is essential.

Precipitation is one of the important aspects of the Earth’s climate that has both spatial and temporal variations. Understanding the behavior of this element and analyzing its spatial and temporal variation is importantwhich can lead to a comprehensive and detailed planning for water resource management and agriculture. Geostatistical techniques and spatial autocorrelation analysis are the most widely used techniques in the field of the spatial continuity. Spatial autocorrelation analysis is applied to help researchers understand the spatial patterns in the area.

      The purpose of this study is to identify the heavy precipitation spatial patterns in Guilan Province. For this purpose, the 6- hourly sea level pressure of the network from  0 to 120 Easter longitude and 0 to 80 Northern latitude with 2.5×2.5 degrees spatial resolution were obtained from the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) for the period 1979-2010. The daily precipitation data of 21 stations were obtained from the Islamic Republic of Iran Meteorological Organization and Ministry of Energy.

      Guilan province is one of the most humid regions in the country. The heavy rain days were selected as days when more than 30 percent of the all stations had daily rain amount more the 95^th percentile. As a result, 321 days were selected as heavy and widespread rainy days. By using principal component analysis these 321 days were reduced to 9 factors. These factors then were subject to cluster analysis with Ward method and resulted in three surface pressure patterns of heavy rainy days. Within the resulted pressure patterns by using local geostatistical techniques we identified the heavy rain spots and their spatial orientation. These spatial methods include Kriging,  Geostatistical Analysis, and Anselin local Moran index.

According to the results of this research, the first pattern was characterized with a high pressure over northern part of the Black Sea causing the highest Variance of heavy rainfalls. The second pattern is identified as a low pressure on the Black Sea. But the third pattern showed a precipitation distribution with low variation caused by the Siberian high-pressure. The results of Spatial Statistics techniques indicated that heavy rains were clustered in all there patterns. The clusters of heavy rains were localized mostly over the coastal areas and some over the central regions. The clusters of the western high-pressure patterns penetrated somewhat inside the province, while clusters of the Siberian high pressures was located on the shoreline of the province. The precipitation of western migratory high-pressures was heavier than of the Siberian high-pressure. The results of the standard deviation ellipse showed that heavy rain clusters were oriented in the east-west direction and were nonhomogeneous. While the ones oriented in the south east direction were more homogeneous and clustered. Because of this arrangement, the entry of moisture from the Caspian Sea is relatively concentrated on the East or North East. Because of the concentration of heavy rains in the central areas of the coast, the risks of floods and soil erosion is very high in these areas. This study showed that contrary to the popular belief, the heavy rains of Guilan were produced by western systems and the role of the Siberian high pressure is less important and is limited only to the coastline.

Groundwater resources are important sources for the supply of water in agriculture, industry and drinking in Ardabil plain, therefore underground water resources planning and sustainable management of these resources are important. The purpose of this study is grading the villages in the plain of Ardabil in underground water crisis and changes during the years 1360-1391. The information obtained from 39 wells, piezometers in plain of Ardabil. Using simple techniques and fuzzy cumulative weighting and interpolation methods, the piezometers interpolation of shallow water table and how it changes during the period is showd.

Introduction
     Groundwater is one of the main sources of drinking water supply for many people around the world, especially in rural areas. Groundwater can be contaminated by natural or human activities are numerous. All activities including residential, municipal, commercial, industrial and agriculture can affect groundwater quality. Groundwater contamination can result, such as the loss of a source of water supply, high cost of clearing the high cost of alternative water supply or cause potential health problems. Given the importance of determining the results of the plains of the country, the aim of this study was to determine changes in aquifer storage of Ardabil using statistics and analysis on multi-criteria decision-making and evaluation of groundwater is a crisis situation.

Data and Methods

     In this study, the data of piezometers wells in of Ardabil plain scattered through the city of Ardabil Regional Water Authority have been prepared. Also, the surface layers and point to the plains of Ardabil, political divisions and the location of wells, piezometers villages for final maps have been used. The data of deep wells, as well as cultivation of four major product with a high water requirement of wheat, barley, potatoes and forage to determine the relationship between ground water and water harvesting has been a drop in water table.

The study area

     Plain study area is located in the north-west of Iran in Ardabil province (Figure 2 and Figure 3).  The average height is about 1360 meters above sea level  It covers an area of approximately 820 square kilometers and is located in the Gharasoo watershed.

• Inverse Distance Weight;
• Global Polynomial Interpolation;
• Local Polynomial Interpolation;
• Radial Basis Functions;
• Straight Ranking;
• Fuzzy Normalized;
• Fuzzy multi-criteria decision-making;
• FSAW.

   The first step is to evaluate each process and required hydrological data collection, and the coordinatingits location. The geostatistical methods of IDW, GPI, LPI, and RBF in the ArcGIS software were used for  interpolating all existing data and a drop in water table in the area of standards for grades 10 class (raster) within restricted fields of Ardebil were determined.

    Finally, using simple collective weight, weight-bearing layers and layers of loss data water table for the years 60 and 90 is obtained. To get the final map of water table drops, the two layers are deducted and the final map of Ardabil plain water table drop that phase is obtained.

     Analysis showed the reduction of water table almost 47 percent in 1391 compared to 1360. As can be seen in Figures 12 and 13, maximum of 45 meters water table wells, piezometers in 1360 to more than 70 m in 1390 has come to reveal the deterioration of the aquifer Ardabil.

    Pholadloo_e_Shomali district with the highest concentration of deep wells in the near future to continue the removal of existing deep wells, groundwater resources will go into sharp decline.

    Sharghi Village goes to the crisis and in the meantime, the central Vilkij district includes the eastern part of the plain, the drop in water table aquifer at greatest risk to the two villages in East and Central Vilkij.

• Due to the limitations of traditional agricultural development potential ground water;
• Increase the efficiency of irrigation, changing crop patterns of water needed to fill low-power consumption;
• Efficient use of water resources and prevent unauthorized digging deep wells to exploit the nutritional front, especially in the East and Southeast plains.

The temperature as an indicator of heat intensity is one of the basic elements of knowing weather. The frost is a condition when the air temperature is less than 0 c Due to the geographical possition of Iran, spring is a season that plants resume a new life after leaving a pause in a periode of the growth. At the beginning of such a periode emerge of sudden cold cause loss bloom (in the case of openinig) or delay in a beginning of plant growth periode (Azizi,2002). Recentley with occuring climate chaos, one of the important climatic disasters which treats human and particularly different  areas of the country are cold waves and sever frosts that in some years covers large area of the country.

    Surface data including minimum daily temperature of the days of 29 to 30 and 25 to 26 of march of 2003 and 2005 in 9 meteorological synoptic stations in the area of north west of Iran in  table (1) was collected  from meteorology organization then the days of cold waves in the above mentioned time periode, were analyzed. In ordet to analyse the synoptic patterns, using ncep/ncar data, maps of sea level pressure ,combined of  geopotential height and vorticity and temperature advection  using Grads were drawn and analysed in the levels of 1000 to 500 hpa.

    As it mentioned, during the time period, 29 to 30 and 25 to 26 of the march in 2003 and 2005, 2 clod system  were located on the area of north west. In oeder to explain and analyze of  synoptic patterns of  mentioned period time, the absolute minimum temperature below 0 degrees celsius of stations in western Azarbayejan province were selected and maps of sea level pressure, combined of  geopotential height and vorticity and temperature advection  using Grads were drawed and analysed in the levels of 1000 to 500 HPA. 

     The results showed that in the time of occuring hazardous cold waves of  29 to 30 of march 2003 and 25 to 26 of march 2005 and analyzing the sea level map in the first day of cold wave with spreading the cold core high pressure  from the eastern Europe and its location on north and east north of the black sea and its pentration from north west corner of the country covered most of the areas of the country. 

    Analyzing the combined maps of geopotential height and vorticity in the levels of 1000 and 850 HPA in the first day of occurrence of  cold, generaly faced with huge anticyclonic development . But in the levels of 700 and 500 HPA , the under studied area was in the south trough of the obtained cold core of the low height locating in the cetral Asia. But on the day of cold peak, high pressure core was exactly located on the under the studied area . Also in the upper levels of atmosphere with locating the back of the trough cumulated  of cold air of upper width on the sea level high pressure centre while strengthening the lower levels anticyclonic flows, led to intensifying cold and frost in the west Azarbayejan province. 

Positive and negative vorticity maximum cells, also conformed the intensity cold circulation flows on the north half of the country in anticyclone and cyclone centers in order. Also analysing the temperature advection in the levels of 1000 to 500 HPA, direction and temperature intensity exactly followed geopotential height maps patterns. 

     Such that in the levels of 1000 hpA of the both cold wave analysed, the anticyclonic cold temperature adcection and northward is located on the north west of the Iran. In temperature advection maps of 29 and 30 march 2003 in 850 HPA in Azarbayejan province, the anticyclonic circulation is matches with sea level high pressure. But in the 2nd cold wave that’s occured on 25 and 26 march 2005, the north west area is between 2 antycyclonic circulation on Mediterranean and cyclon located on south of  Russia that the directions of temperature cold flows is completely north ward in this level. 

    In the temperature advection maps of 700 and 500 HPA, the Azarbayejan province is in the western edge of central Asia trough or south of Russia. 

    The results showed that with studying  atmospheric motions and synoptic systems which create cold flows, we can prevent of spring late  emergence cold wave destructive impact on agricultural products, energy consumption, and road accidentd by  forcasting of these atmospheric conditions.

Nowadays, the adaptation of urban crisis management with  urban development plans is considered as an efficient way of cutting back on damages and it is essential to predict economic and physical susceptibility of families and communities. Therefore, considering the urban crisis index can play a significant role in urban planning. Tehran city thanks to geographic location, climate conditions and geological conditions is among risky cities so that the presence of seismic faults has made this city potentially seismic and in need of comprehensive crisis management; it needs to be confirmed that despite the earthquake potential in the region and the quality of the buildings especially in old and organic texture and other parameters such as access network and buildings and skeletal disorder the occurrence of a large scale earthquake and other natural disasters would be very catastrophic. For this purpose and given the high susceptibility of the region such as the impression by the North and South Rey fault, hazardous industries and fundamental establishments on the one hand and the presence of worn-out texture on the other hand were the reasons behind choosing this region to do the research.

     This research is descriptive-analytic in terms of data collection and practical concerning the function. The location of study is 20^th municipal district of Tehran. The area is about 23 square kilometer and by including the range  about 200 square kilometers. The research population consists of 500 experts and administrators engaged in preparation and practice of detailed municipal plan of Tehran city and crisis management organization of Tehran city. The research mass was selected at 217 persons by the use of Cochran’s formula. The sampling method was random classification method. Data collection instrument was the use of author-prepared questionnaire which consisted of four parts. Measurement instrument validity by facial method and its reliability was examined using  Chronbach Alpha. Therefore, after providing the required acceptable reliability among 20 persons of the subjects the personal attendance method of distribution was applied.

     The research findings show that among research variables, locating crisis management uses within detailed plans received more attention (Mean:82/36) and the knowledge of crisis management within detailed plan management process received less attention (Mean: 24/08). Also the study of distribution indices using  standard error deviation and variance reveals that the type of responses to the variable of attention to risky use policies (standard deviation: 4/08) has low distribution and attention to crisis management uses (8/49) has high distribution. For ranking variable conditions Freedman test was implemented. The results obtained from this test showed that the variable of attention to crisis management uses with the mean of 3/81 ranked first and attention to crisis management knowledge within detailed management process with the rank mean of 1/00 stands fourth on the list. The obtained results from the Pearson test also show that among all variables there is a significant relation with a confidence level of 99% and the correlation among them was  positive. Also the highest correlation coefficient was attention to the crisis management uses and attention to crisis management knowledge at the rate of 0/898 and the least correlation is about the relation between the variable of attention to knowledge of crisis management and the reflection of crisis management indexes on detailed project plans at the rate of 0/423.

     Considering the obtained results can conclude  that crisis management indexes through the process of preparation, approval and the administration of detailed projects of Tehran city and 20^th municipal district have not been attended sufficiently. For instance, skeletal features determination and operational properties at each urban scale were given the rate of susceptibility and the natural place limitations to enhance escape possibilities and people refuge (apposite building type, low building density, use of paths as the getaway and refuge spaces etc.) have not been estimated and their impacts have not been included in development plans.

     Also neighborhood was expected to be observed in urban lands use determination and avoid incongruous uses next to each other and provide quick exit but such cases have not been attended in detailed Tehran city project and 20^th municipal district or that the intended issues have been briefly listed and practically had no use in administration stage. In fact, the bad condition of the skeletal elements location and inapposite uses of the urban lands, deficient urban network, compact urban texture high urban density, improper location of fundamental establishments and shortage and improper distribution of urban open spaces etc. which have critical role in boosting up the rate of inflicted damages to Tehran city against crisis on the basis of the experts’ vantage point has received insufficient attention and while discussing the issue there is no coordination among related organizations concerning a serious attention to such indexes.

Land degradation in arid, semi-arid and sub-humid areas, leads to  desertification and land degradation is a concept that refers to any reduction of soil potentials. In Iran, that 85 percent of its area is classified in arid and semi-arid climates, and  one percent per annum growth rate of desertification and its increasing trends, finding ways to evaluate this phenomenon and its causes in the form of models seems essential. In Iran, especially southern areas due to their arid climatic conditions, are considered to be areas prone to desertification. This study aims to evaluate and analyze the vulnerability of desertification in the Mond watershed located in the northern coast of the Persian Gulf.

     In order to evaluate the potentials of desertification in the Mond watershed, geological, the erosion (water erosion potential), rainfall, slope, elevation levels and land use maps are used.  To identify vegetation cover conditions Landsat ETM + sensor data and normalized vegetation index (NDVI) are used.

     Where in reflected in the near-infrared band (Band 4, Landsat ETM+) and the reflection in the visible band (band 3 sensor ETM+) respectively. Overlaps and combines the above criteria is done using E-VIKOR (VIKOR developed) a method of multi-criteria decision-making models (MCDM). This method is based on a compromise plan proposed in the compromise solution is justified determines solutions that are as close to the ideal solution and has been created through special credit decision-makers. VIKOR use linear approach normal. The normal value in VIKOR  is not related method unit of measure. Also standardization effective indicators of desertification has been done using a linear scale.

      In this study, the ANP method (Analytical Network Process) was used for weighting criteria. Analysis method Network, is one of the popular methods of multi-criteria decision problems. This method complex relationship between and among the elements of the decision by replacing hierarchical network structure considers. Table 1 shows the weights of the effective criteria in desertification. In this study 7 criteria are used that results show criteria’s of climate and vegetation, have the most effective measures in the area of desertification and erosion (water and wind) have the least amount of importance in the region.

Table 1: weight criteria of effectivein desertification

    After mapping the effective indicators in evaluating desertification separately, Standardization of maps, weighting the index, To obtain amount and   , Finally, the amount of , was produced Zoning map of desertification that in it Mond watershed in the province Bushehr in terms of desertification is divided into five ratio and the area is provided in Table 2.

Table 1: Percentage and  area zone of desertification

    Studies show that more than half of the Mond basin have on the surface with average risk of desertification and In the continuation of the current trend of soil degradation, desertification prone zones and will be reduced all lead to the deterioration of the natural ecosystems and human life quality.

The runoff simulation have  particular importance in Civil works, river training, design and planning of ground water resources, flood control and prevention of environmental hazards and reduction of erosion and sedimentation in the watershed. The runoff in each region varies according to climatic conditions, hydrological, soil and vegetation in the basin. Simulate these processes need to provide the necessary information on the spatial variation of these factors.  In this context, given the diversity of hydrological models, to achieve the most appropriate simulation of hydrologic models and choose the appropriate model requires the evaluation of their performance in each area is commensurate with hydrological conditions. So hydrologicl models, need to recognize the capabilities and limitations of basins.  In this study, the performance of the two models of rainfall – runoff including IHACRES and SWAT models was compared and evaluated in runoff simulation for two watersheds Yalfan and Sulan in Hamedan province in West of Iran .  

     The SWAT model uses various information, including;  hydrometry, climate , soil , topography, vegetation and land use . SWAT (Soil & Water Assessment Tool) is a river basin scale model developed to quantify the impact of land management practices in large and complex watersheds. SWAT model is a hydrology model with the following components: weather, surface runoff, return flow, percolation, evapotranspiration, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading. SWAT model uses a two-level disaggregation scheme; a preliminary sub-basin identification is carried out based on topographic criteria, followed by further discretization using land use and soil type considerations. Areas with the same soil type and land use form a Hydrologic Response Unit (HRU), a basic computational unit assumed to be homogeneous in hydrologic response to land cover change.

     IHACRES model is a catchment-scale rainfall – stream flow modeling methodology whose purpose is to characterize the dynamic relationship between rainfall and stream flow, using rainfall and temperature (or potential evaporation) data, and to predict stream flow. The model can be applied over a range of spatial and temporal scales - from small experimental catchments to basins; using minute, daily or monthly time steps. It can be used to fill gaps in data, extend stream flow records, as well as explore the impact of climate change and identify effects of land use changes.

    Data used in this study includes temperature, precipitation and runoff in the period of 2010-1983. Rainfall and temperature data were used from weather stations and runoff gauging stations from basin Sulan  and Yalfan hydrometry stations. In this study we select two periods, first period from 1983 to1999 for calibration and the second period from 1999 to 2009 for validation. Some of the required basic information such as soil, vegetation, topography and land-use maps were used to carry out the research were received from the Research Center of Agriculture and Natural Resources of Hamedan province.      Accordingly, after collecting basic data and analysis of the sensitivity parameters, then calibrate and validate the models. To determine the ability of models Nash Sutcliffe (NS) and determination coefficient ( R2) were evaluated .

    The results showed that both models are acceptable in simulating runoff in both basins. According to the results obtained in the simulation by SWAT model in both basins, Nash Sutcliffe on a monthly scale in the Yalfan basin for calibration period is 0.68 and verification period is 0. 74 and for Sulan basin calibration period is 0.69 and verification period 0.76.

    The flow rate during validation periods have high accuracy. In the Yalfan basin observed daily flow 1.17 cubic meters per second and simulated flow is 1.10 cubic meters per second. As well as an overview of the values of the coefficient of determination can be seen in both basins, amount represents the high precision simulation in monthly and daily scales. Based on the results obtained in the two basins, IHACRES model has been good performance on a monthly scale, so that the Nash Sutcliffe in the Yalfan basin for calibration period 0.68 and for verification periodic 0.72 in the Sulan basin for calibration period 0.64 and for verification periodic 0. 65. In general, both models can be seen by comparing the SWAT model was calibrated and validated with the highest Nash Sutcliffe on the monthly and daily scales. Generally it can be concluded that to simulate the daily and monthly runoff, the SWAT model is recommended for evaluation hydrology process in the Yalfan and Sulan basins. It is essential in most similar studies to determine of rainfall-runoff models with respect to variability of rainfall-runoff models in different climate periods of dry and wet years.

Spatial analysis as the main approach of geography was reviewed and searched through its historical development. The results of this exploratory research showed that this approach was born after the Second World War due to the overall interest of geographers to develop universal theories and laws. The advocators of this field believed that the old regional geography was not able to develop a scientific and applied knowledge. The main motivation of the development of the spatial analysis was the quantitative revolution of the 1960’s which was triggered by the article published by Shaeffer in 1953. This was followed by some prominent geographers such as Bungeh, Ulman, Barry, Hagget, Chorley and others. Bungeh and Harvey strengthened the philosophical foundation of spatial analysis and others such as Hagget , Chorley and Hajestrand published important books in the field of quantitative geography. The main objective of spatial analysis is to analyze the distributions through the identification of their global and local structures and reasoning these structures by their spatial relationship with other distributions. In this regard it uses quantitative data and mathematical language to achieve the spatial theories and laws.

     The spatial analysis studies the spatial distributions and structures. These are the entities that are not subject to the human interpretation and thinking. This approach is true in the both physical and human geography. The knowledge it tries to achieve is the theories and laws about the spatial distributions. The methodology of spatial analysis is the quantitative methods such as experiment and survey. Thus in terms of ontology the entities of spatial analysis are independent of human mind and objective. The spatial characteristics of distributions are not constructed but discovered. The methodology used in spatial analysis is quantitative and objective including some methods such as experiment and survey. In 1980 and onward, human geography tried to move toward qualitative methods such hermeneutics but during 21^st century all branches of geography are using quantitative methods more frequently than qualitative ones; but the use of the combined version of quantitative and qualitative methods is becoming more frequent day by day.

  The introduction of Geographic Information System as the operational environment for spatial analysis works the approach has become more widespread and dominant. Geographers are now able to analyze more spatial data and discover more spatial theories to solve the spatial problems. GIS is the main tool for spatial analysis and by introducing the science of geostatistics has improved the scientific and applied power of spatial analysis. The application of quantitative geography including geostatistics and GIS requires improved knowledge of mathematics, geometry and statistics; the main language of today geography. The spatial analysis covers the important topics of geography including spatial distributions, regions, spatial relations especially the relation between human and environment, spatial structures, spatial reasoning, interpolation, and the most important topic of spatial planning. The spatial analysis is the only scientific field to define and develop spatial planning. With correct and logic spatial planning there won’t be any environmental hazards. Because in any region all human settlements and activities are planned according the potentials of the region.