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Showing 190 results for Mohammad

Nahid Bagheri, Mohammad Mohammad, Ezatollah Mafi,
Volume 0, Issue 0 (3-1921)
Abstract

From the time of human life until now, disasters have had a negative impact on human life; In response, individuals and communities are trying to mitigate the consequences of these disasters and establish scales to assess the initial effects; Also respond to the post-disaster needs and return to baseline. To address these challenges and, as a result, improve the quality of life in cities and metropolises, the need for long-term planning and decision-making in solving these problems is more necessary than ever. Therefore, dealing with new urban theories, each with the aim of solving urban problems, improving the quality and quantity of life of citizens in cities, improving the quality of the city environment, city management, advancing the city to become more desirable, and so on. , Is more important than ever. In recent decades, to solve these challenges and reduce its effects on metropolises and large cities, various solutions and perspectives have been proposed, one of which is to pay attention to the concept of resilient city. The present study is descriptive. - It is analytical and practical in terms of purpose. The statistical population of this study consisted of experts and professors familiar with the topics of the city. 35 university professors and experts in the field of research determined the sample size intended to complete the questionnaire. The results of this study showed that the criterion of physical characteristics of tissue with the highest D-R value (0.672) is at the top of the chart and shows that this criterion is the most effective criterion. Also, based on the calculated D + R value, the building quality criterion is the most important criterion. Also, the urban infrastructure criterion was considered as the most influential criterion due to the fact that it has the lowest D-R value.

Mohammad Saghebi, Ezatollah Mafi, Mehdi Watanparast,
Volume 0, Issue 0 (3-1921)
Abstract

Nowadays, addressing approaches such as livability for today's cities as concepts that play an important role in reducing social, economic and environmental problems of cities is an inevitable necessity. In fact, livability is a concept with all angles and mental and objective dimensions Is concerned with human beings and seeks to create a healthier and more livable urban environment for current citizens of future generations; Therefore, livability is a new concept and approach in the paradigm of sustainable urban development, which some consider one of the greatest ideas of urban planning in modern times. In livable city, the goal is not only to meet the physical needs of urban society, but also to create a sense of citizen satisfaction According to this, the main purpose of this research is an analysis of urban livability in Bojnourd with emphasis on security index.
      The purpose of the present study is applied and in terms of method: descriptive-analytical. Using GIS software, maps related to the status of each of the objective sub-indicators based on Bojnourd city police stations have been drawn. For mental indicators that have 8 items, a questionnaire The sample size in the whole city of Bojnourd is 383 people. The results of this study show that police station area 13 of Bojnourd (in region one) is the best area in terms of security index. The worst area in terms of security is related to police station area 12 (area two) in terms of index. It is security.
Dr Hassan Kharajpour, Dr Zahra Hejazizadeh, Dr Bohloul Alijani, Dr Mohammad Hossein Nasserzadeh,
Volume 0, Issue 0 (3-1921)
Abstract

      Considering the undeniable impact of agricultural plants on climatic and regional changes, it seems necessary to conduct regional research to understand the reaction of each agricultural plant in different stages of growth in relation to weather elements. If the temperature of the air along with the warm cloud is lower or higher than a certain threshold, its development will stop. Between the two limits, there is an optimal temperature where the plant grows the fastest. Temperature and clouds are both the most important climatic elements in agriculture. Both climatic parameters together cause stress in wheat and lower the productivity of the product. Considering the strategic nature of wheat, in order to increase the level of production, in the present research, while taking advantage of the experiences and methods and models used in foreign and domestic researches, it was practical in Kermanshah province due to the extent of the land under wheat cultivation and The significant amount of production, which has a special place in this field at the level of the country, the determination of the statistical threshold and the synoptic analysis of warem cloud temperatures on the performance of the wheat crop are investigated. According to the investigations and consultations with agricultural engineers, the maximum temperature along with cloudy days causes the phenomenon of greenhouse and excessive heat, which causes the fall of flowers, rot, sterility of pollen grains, fruit reduction, Premature aging and poverty become seeds, and this phenomenon occurs mostly in the months of May and June.

- Mohammad Reza Ghorbani Param, - Pouyan Shahabian, - Vahid Dinarani, - Ronak Najafi,
Volume 0, Issue 0 (3-1921)
Abstract

The quality of the urban environment is one of the important indicators of the development of any city. In this regard, the type of pattern that can be used in cities can have a great impact that biophilic urban planning is one of the most important patterns due to its relationship and centrality with nature. The purpose of this study is to explain the environmental quality criteria of Tehran according to the components of biophilic urban planning. The research method is descriptive-analytical and based on data collection through survey method. The research tool was a questionnaire whose validity was confirmed by the elite community and its reliability was confirmed by Cronbach's alpha coefficient greater than 0.70. The statistical population of the study also consists of urban experts and specialists, including academics and experts in Tehran. Due to the lack of statistics in this area, coronary and cost constraints, 120 experts were selected as the sample size. The results showed that the structural-functional, content and physical-spatial indicators of the quality of Tehran's urban environment based on biophilic urban planning were significant at a level of less than 0.05. The study of the mean and significant direction indicates the weakness of these indicators and lack of attention to biophilic urban planning in the planning of this city. Also, the results of structural equation modeling confirmed that the structural-functional, content and physical-spatial indices of biophilic urban planning can be effective in improving the quality of Tehran's urban environment. . Therefore, biophilic urban planning has not been emphasized in the planning model of Tehran, but the results indicate their effectiveness in improving the quality of the city's environment if used.
 
Tahereh Karimi, Amir Karam, Parviz Zeaiean Firuzabadi, Seyyed Mohammad Tavakkoli Sabour,
Volume 0, Issue 0 (3-1921)
Abstract

Abstract
The catchment area of ​​Alamut River in Qazvin province is witnessing numerous landslide hazards and landslides every year, which cause significant economic and sometimes life-threatening losses. Diagnosing the unstable areas of slopes through soil texture characteristics is a difficult task due to the difficulties of obtaining soil samples in mountainous areas. For this reason, in the present study, by using Sentinel A1 radar data, by determining the percentage of clay and sand in the soil, the soil texture map at the depths of 10, 60, 100 and 200 cm with two random forest (RF) and support vector machine (SVM) algorithms was produced in the eastern Alamut region, which was verified with soil profile samples. The results indicated that the Kappa index was more accurate in the RF model at three depths of 10, 60 and 100 cm. Then, by extracting the soil moisture map from Sentinel 2 data, at the same time as examining the internal friction angle of the types of soils in the region, comparing the slope and profile of the slopes and the shape of the convex (divergent) and concave (convergent) slopes, the unstable areas of slope movements, RF and SVM models were specified and validated with GPS data, field visits and Google Earth. Research findings show that the instability map resulting from the RF model has a higher accuracy (AUC=0.93) than the instability map resulting from the SVM model (AUC=0.90) and there is more instability in areas with medium to high slope and with soil texture of sandy clay loam and sandy loam. . This method has many advantages in preparing the soil texture map, determining the unstable areas of the slopes against mass movements and landslides, determining the vulnerable areas in mountainous areas and reducing financial and human losses.
 
Miss Sorayya Derikvand, Dr Behrooz Nasiri, Dr Hooshang Ghaemi, Dr Mostafa Karampoor, Dr Mohammad Moradi,
Volume 0, Issue 0 (3-1921)
Abstract

sudden stratospheric warming has an obvious effect on the Earth's surface climate. In this research, the changes in precipitation during the occurrence of this phenomenon have been investigated. For this purpose, after revealing the warmings that occurred during the studied period (1986-2020), 18 warmings were identified. The 5th decile and 9th decile of precipitation were calculated for the precipitation data of 117 stations. And the size of the difference from the normal rainfall was checked in two ways. First, the precipitation at the time of warming was compared with the long-term average, and then the trend of changes in precipitation at three times before thewarming, at the same time as the warming, and after the warming was finished. Finally, these results were obtained. Warmings according to the month in which they occur; They have a different effect on the amount of precipitation. In the sudden stratospheric warming that occurred in December, January and February, the northwest experiences the most rainfall changes and is above normal, and the probability of rainfall above the 9th decile increases up to 65%. Western and southwestern regions also have higher than average rainfall and the probability of heavy rainfall is high. Precipitation on the shores of the Caspian Sea shows an inverse relationship with sudden stratospheric warming, so in all the investigations of this research, the lack of precipitation at the time of warming in these areas is significant. Southern regions have less than normal rainfall in all sudden stratospheric warming events. The center of Iran has higher than average rainfall in the sudden stratospheric warming months of March. Eastern Iran also has heavy rains compared to normal during the sudden stratospheric warming months of March.

 
Dr Mohammad Hossein Nasserzadeh, Dr Ali Reza Karbalaee Doree, Mr Mohammad Siah Kamari,
Volume 0, Issue 0 (3-1921)
Abstract

Drought is one of the natural disasters whose long-term effects affect the economy and society. This phenomenon is considered a challenge in arid and semi-arid regions, including Iran. Nowadays, the use of remote sensing methods can help us in understanding the drought behavior of vegetation. In order to monitor and analyze the behavior of drought in Kermanshah province, the data of Sanjande Weathers products (VIIRS) and AVHRR data indexed by NOAA STAR were used. In this study, the Vegetation Health Index was used in the period of 1982-2021 in a seven-day format with a spatial resolution of 4 x 4 km. After extracting the data in the Kermanshah area, the vegetation drought trend was investigated on 65,387 cells using the Mann-Kendall test. The results showed that in the winter season, the trend of vegetation cover in the western areas of the province was decreasing and significant at the level of 0.05. While in the northern, central and eastern regions of the province, the trend is increasing and significant. In the spring and summer seasons, especially the months of June, July, August and September, which correspond to the dry months of the year, the size of the areas with a significant decreasing trend of vegetation cover has increased, while in the autumn season, with the beginning of the water year, the size of the areas with a decreasing trend has decreased. 
Mohammad Radman, Mohammad Saligheh, Mohammad Hossein Naserzadeh,
Volume 0, Issue 0 (3-1921)
Abstract

In order to comprehend the water flow characteristics and variations of the Karun River, we examined the Zaz, Bazoft, and Beshar sub-basins from its main branches. The reason for choosing these basins was the proximity to the catchment centers of the Middle Zagros and their location upstream of the dams.
 Iran Water Resources Management Company provided all the required data (from the water year
1356-57 to 1395-96), and we analyzed them using Kolmogorov-Smirnov tests, data skewness, skewness, and Pearson correlation. Then, we performed the linear regression test to determine the effect of temperature and precipitation on river discharge, and they conducted the Mann-Kendall test to identify the trend and jump points. The results of the data analysis showed that all of them are in normal conditions, although they have some elongation and skewness. The Pearson correlation test revealed a correlation between meteorological and hydrometric data.
 The regression model used shows the changes in precipitation and discharge (unlike temperature and discharge) well. The significance number of all stations in the model is less than 0.05, which shows that the changes that occurred between predictor and dependent variables are significant. We see the high performance of the model in explaining the changes in discharge compared to precipitation. According to the regression charts, the decreasing trend of precipitation and discharge and increasing temperature are clear in all three basins.
The Mann-Kendall test reveals a significant trend of increasing temperature in Bazeft and Bashar basins, a decreasing trend of discharge in Bazeft and Bashar basins, and a decreasing trend of precipitation in Zaz and Bazoft basins.except for the temperature of the Zaz basin, all variables show mutations in mutation basins.
 

Dr. Mostafa Kabolizadeh, Dr. Sajad Zareie, Mr. Mohammad Foroughi Rad,
Volume 0, Issue 0 (3-1921)
Abstract

There are various indicators to monitor and management of agricultural water resources in arid and semi-arid countries including Iran, some of which can be extracted directly in situ, and some can be retrieved using remote sensing technology and satellite images. Aim of this study is to propose the most appropriate and efficient indicators of agricultural water resource management for achieving maximum production and maximum water efficiency using remote sensing technology, therefore, Crop Water Stress Index (CWSI) and Surface Energy Balance Algorithm (SEBAL) were used to estimate Evapotranspiration (ET). In the first step, ET rate was calculated using SEBAL algorithm for six Landsat 8 satellite images related to the wheat growth period. Then, zoning of this index was done in the range of zero to one, in four categories of very low, low, medium and high, which respectively indicate the lowest to the highest amount of ET. In next step, CWSI was calculated based on Idso equation, and its results show different changes both in cold season and in warm months. Comparison of ET and CWSI shows a significant relationship between these two indices in warm months, while in cold months, no significant relationship can be seen. These findings along with the established relationship between ET and CWSI can inform water management strategies in arid environments for sustainable crop production.

Dr Abed Golkarami, Dr Mohammad Yousefi Shatouri, Dr Afshin Mottaghi,
Volume 0, Issue 0 (3-1921)
Abstract

Water diplomacy, as one of the effective tools in the management of shared water resources—particularly in regions with transboundary rivers—plays a crucial role in reducing tensions and strengthening regional cooperation. This study, employing an applied approach and a descriptive–analytical method, provides a geopolitical analysis of water diplomacy in Iran’s border rivers. To better conceptualize the issue, three converging theoretical frameworks in international relations—neoliberal institutionalism, liberalism, and constructivism—are utilized. Accordingly, the main research question explores how these theoretical approaches can contribute to an effective analysis of water diplomacy in Iran’s transboundary river basins. The central hypothesis posits that an integrative application of these theories can lead to a more accurate understanding of geopolitical relations, reduction of regional tensions, and enhancement of cooperation mechanisms between Iran and neighboring countries in managing shared water resources. The findings—drawn from the application of these approaches to three case studies (Helmand, Harirud, and Aras rivers)—indicate that despite their theoretical differences, all three frameworks emphasize institutional capacity building, economic interdependence, and the formation of shared identities and norms. These elements, in turn, can provide a solid foundation for enhancing water diplomacy across Iran’s borders. The study also highlights that adopting a synthesized approach can significantly assist policymakers in formulating comprehensive and multi-dimensional strategies for the sustainable management of transboundary water resources.

Dr Mohammad Shali, Hosna Emamzadeh,
Volume 0, Issue 0 (3-1921)
Abstract

Informal settlements, as one of the most important challenges of urban management in Iranian metropolises, require the adoption of new approaches with an emphasis on public participation and a community-based approach in the field of local planning and development. Within this framework, facilitation offices have been established in some informal neighborhoods with the aim of raising awareness and empowering residents, strengthening the relationship between official institutions and the local community, and improving social, economic, and physical indicators. However, the effectiveness of these offices in practice has been less evaluated structurally and empirically. The present study aimed to analyze the performance of facilitation offices in four neighborhoods of Tabriz metropolis, focusing on its relationship with empowerment, social participation, and physical, economic, and social outcomes.The research method is descriptive-analytical and applied. Data were collected in the field using a researcher-made questionnaire from 396 residents of neighborhoods with facilitation offices in 1401 and analyzed using structural equation modeling in SmartPLS software. The results showed that the performance of the offices had a direct effect on empowerment with a coefficient of 0.907 and on local participation with a coefficient of 0.636. Participation also played a significant mediating role in improving social indicators with a coefficient of 0.438, economic indicators with a coefficient of 0.294, and physical indicators with a coefficient of 0.266. Also, educational measures, transparent information, and interaction with local institutions were among the most important influential factors in the neighborhood development process. Accordingly, the research findings can be a basis for reviewing urban policies and creating participation-based institutions in the process of recreating and developing informal settlements
, Mohammad Hossein Nasserzadeh,
Volume 6, Issue 8 (- 2007)
Abstract


, , Mohammad Hossein Nasserzadeh,
Volume 11, Issue 20 (6-2011)
Abstract


Esmaeail Ahmadi, Zahra Hejazizadeh, Bohlol Alijani, Mohammad Saligheh, Hassan Danaie Fard,
Volume 15, Issue 36 (6-2015)
Abstract

The more exposure to Climate change / variability, the more vulnerability and a community with low adaptive capacity and high sensitivity is more vulnerable. Vulnerability reduction depends on adaptation policy and strategies. Designing and assessing these strategies require climate vulnerability (CV) measuring. To produce a new CV index, as a main propose of this study, first: The score of exposure factor for two five span years was calculated based on four synoptic stations data (Zabol, Zahedan, Iranshahr and Chabahar). Second: The scores of adaptive capacity and climate sensitivity were determined using all of the country census and yearbook data for 1385 and 1390. Third: Due to the nature and factors of vulnerability, a climate vulnerability index was developed based on the multiplicative-exponential model (CVIMEM). Forth: The index was calculated for the province and sub regions. The result shows, although the Sistan and Baluchistan (SB) adaptation capacity was increased, but because of the increased exposure and sensitivity, this province is 16.3% more vulnerable. Area with very high vulnerability label expanded from 57.5% to 100%, which reflects the spatial expansion of vulnerability over SB. The overall result is that vulnerability reduction needs for accurate and continuous measurement, on the increase adaptation capacity and mitigate climate sensitivity.
Mohammad Najarzadeh, Aliakbar Bidokhti, Jamal Moradnejad,
Volume 15, Issue 36 (6-2015)
Abstract

According to WTTC (World Tourism and Travel Council) forecast tourism contribution of global GDP will be about 6000 billion dollar in 2020 and will create 300 million job Therefore, Tourism could be considered as multidimensional field that response to tourists needs with diversity interests and motivations. Shopping is the most necessity needs and it is the one popular activity for tourists. Border regions facilitate this activity because they have two potentials: appropriate geographical situation and non-favorite economic condition for host community. One of the best and most popular border cities in Iran country is Baneh that placed in the west boundaries between Iran and Iraq country. Region’s Economy  extremely depends on tourism shopping and majority of the host community directly or indirectly involved in that bussiness. Therefore, we can connect tourist's satisfaction with welfare and/or economical condition improvement. As, if it realize positively, region will develop in close future. This paper aims to evaluate performance of factors influencing tourists overall satisfaction in the Baneh border city due to important of development issue. Here, factors divided into two categories: shopping factors and tourism environmental factors. This research has followed a practical object, a descriptive approach with Field- Survey type in the method. Statistical population included tourists who have traveled to baneh city to purchase mainly. Matching to Morgan's table 400 tourist as statistical sample have selected and the questionnaire give to them randomly. The tools for gathering were base on two method, early data (from the field- survey study) and secondary data (from the library studies).   An analysis of the results revealed that, in thematic destinations, in addition to factors related to specific Theme (Subject) that they were more influencing, The tourism environmental factors also can  influence on the tourist total satisfaction . In sumery, this research aims to examine amount of satisfaction factors impact on the overall satisfaction. Finally, suggestions for relevant governmental institutes are provided.


 
Mohammad Shali, Jamileh Tavakolinia,
Volume 15, Issue 36 (6-2015)
Abstract

Nowadays, informal settlements has become a common challenge in many of cities particularly in Metropolises .On one hand, it is a spatial manifestation of social and economical inequalities and injustice at the local, regional and national levels. On the other hand it is the result of urban planning deficiency, absence of citizenship and inattention to social and economical needs of low income groups in urban development plans. In this research, in order to develop main strategies for enabling and regularizing Tabriz informal settlements by zoning the district one’s settlements of Tabriz municipality and identifying the low income and vulnerable zones, the social, economical, physical and environmental indicators have been used. Moreover, the data was analyzed by combining GIS and AHP models and three zones were reached. The research shows the socio-economical and environmental separation between vulnerable zones and others. The CDS strategy has been confirmed because of paying attention to participatory and community-based approach for enabling and regularizing informal settlements of Tabriz district one
Hakimeh Behboudi, Mohammad Saligheh, Ali Bayat, Akram Zakeri, Fatemeh Jamali,
Volume 15, Issue 36 (6-2015)
Abstract

Understanding weather zoning and knowing homogeneous climate regions are essential for land use and regional planning. The aim of this study was to compare three different geographical climate of Iran, the Caspian coastal, mountainous and arid interior of the provinces of Mazandaran, Semnan, Tehran, Qazvin, Qom, and Markazi. In order to do this study, climatic data of 56 synoptic and climatology stations and 19 climatic elements were used by using cluster analysis and factor analysis models. For this purpose, a matrix with dimensions of 56 x 19 and the R configuration and as a database was used for segmentation. By applying factor analysis based on principal components analysis with Varimax orthogonal rotation it was determined that in the climate of these three regions, four factors of humidity, temperature, dust and thunderstorms are affecting more than 85% of the total variance of the climate of this region. The hierarchical cluster analysis method and integration into the matrix of factor scores, four main and several sub-region areas were identified.The main areas are hot, dry desert area, ​​low rainfall mountain slopes, the mountainous and cold and semi-rainy regions and high rainfall and finally the moderate high rainfall. The study of four areas and their local and regional conditions shows that the neighborhood with humidity source such as the Caspian Sea and rough configurations such Alborz Mountains play a decisive role in the formation of north sub-areas.
Mohammad Darand,
Volume 15, Issue 37 (9-2015)
Abstract

The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of year that start from October to June. By applying the principle component analysis on the sea level pressure during the 107 days, the results showed that 12 components explain about 93 percent of sea level pressure variation. The results of the applying cluster analysis on the component score showed that two circulation patterns result in occurrence of extreme and heavy precipitations in Kurdistan province. In order to recognize heavy precipitation in dry season (June to October), the area mean precipitation for the province have been calculated. According to the 99 percentile threshold and extensively of precipitation the heavy phenomena recognized. By two thresholds 32 days selected and same as to the wet season precipitation the sea level pressure data from NOAA extracted. The data analyzed by Principle Component Analysis and 11 components extracted that explain the 93 percent of variation sea level pressure in the frame study. By doing cluster analysis on the 11 components, one pattern recognized for the sea level pressure.  The results showed that in lower atmospheric levels (1000, 925 and 850 hpa) occurred highest convergence on the study region during wet season. The source of humidity in the lower levels is Arabian, Red, Oman, Persian Gulf and Mediterranean Seas. In the high level atmosphere, the value of convergence is low. The sources of humidity in high levels atmosphere are Red and Mediterranean Seas. In the mid level atmosphere (500 hpa) the presence of trough results in nutrition of the instability on the study region. Also during dry season, the highest moisture flux convergence occurred in the low levels but the resource of the moisture is Caspian Sea. In the upper levels (from 700 hpa to up) in addation to Caspian Sea, Mediterranean and Red sea are the resource of heavy precipitations.
Mohammad Hajipour, Vahid Riahi, Hadi Gharagozloo,
Volume 15, Issue 37 (9-2015)
Abstract

Housing enjoys a multilateral functioning in the rural system. One of the aspects highlighted by planning system is the renewal and rehabilitation of housing. In our country, Iran, development of rural housing has experienced a growing trend, especially in the physical and structural aspects. However, a large part of the rural population in different areas of the country is living in non-resistant and less durable housing. This article attempts to analyze the spatial distribution and quality of rural housing in the country. In this article it is tried to address and analyze the spatial distribution of quality and construction of rural housing in various provinces in the country. The data was derived from document studies. The quality of rural housing in 9 indices has been measured for each province of the country. Data has been analyzed using VIKOR method for the multi-criteria decision analysis. Finally, the classification of provinces based on the construction and quality of rural housing was conducted using K cluster analysis in SPSS and output was drawn in GIS as a map. The results showed that there is a significant difference and distinction in the types of materials used in the rural settlements. Such that a significant percentage of the houses are made out of bricks, iron and stone that somehow confirms the durability and normal quality. In terms of spatial and local distribution it can also be said that the quality of rural housing in most of the provinces (i.e. 24 provinces) are in low-quality, medium and/or appropriate levels. Meanwhile, only three provinces of Mazandaran, Azerbaijan Sharghi and Kerman enjoy the excellent quality in rural housing construction.
Faramarz Khoshakhlagh, Mohammad Amin Heydary,
Volume 15, Issue 37 (9-2015)
Abstract

  Climate control centers in each area are diverse and understanding how they relate to the atmospheric components of the Earth's surface contribute to prediction of climate fluctuations.   In this study, by using Pearson's correlation and multivariate regression in a thirty-year period (1961-2010), the relationship between widespread rainfall anomalies in entire of Iran west with temperature and pressure of atmospheric centers in East and West of Mediterranean Sea in 5 atmospheric levels (SLP, 850, 500 and 300 Hpa) were analyzed and modeled. Based on the results, the correlation of atmospheric control centers in the East and West Mediterranean Sea with anomalies of rainfall in West of Iran is inverse and meaningful in 95% level. In this study, statistical indicators such as temperature differences and standardized  pressure between West and East Mediterranean sea were identified as the most important indicators in relation to changes of rainfall in the study area.   Based on the designed indicators, whenever indicators DT and DH is positive, this means higher temperature and higher atmospheric standardized pressure in the Western parts of Mediterranean sea in compare with its East and therefore the wet spells (Monthly) occur in the study area, and If the above mentioned index is negative, means that the occurrence of drought in West Iran. As for the indicators introduced for lower levels of the atmosphere, especially in the case of temperature, meaningful strong and direct correlation is seen with rainfall abnormalities in entire West of Iran. Modeling provided some indicator for Mediterranean region using multivariate regression that they showed a relatively strong correlation in this regard of the selected components that include the pressure difference in sea level, the temperature difference in 925 and 850 hPa level in the West (Compared to its East) Mediterranean sea. Also check the regression model using real data confirm the accuracy of the relative performance of the model.  

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