جستجوی مقالات مرتبط با کلیدواژه « fars province » در نشریات گروه « آبخیزداری، بیابان، محیط زیست، مرتع »

Chemical fertilizers are nowadays one of the basic production inputs toward enhanced yields of agricultural products. The private businesses stepping into the chemical fertilizer market increasingly encourage farmers to consume more fertilizers, which, in turn, ushers in doubts about their optimal application at the farm level. To address this issue, the present study was designed and implemented to determine the factors involved in the optimal application of nitrogen fertilizers on wheat fields in Fars Province. For this purpose, data were collected through the multi-stage cluster sampling method and the survey method using a questionnaire admninistered to 457 wheat farmers in Fars Province. The data thus collected were analyzed through descriptive statistics and the Tobit model. Results showed that 78.56 percent of wheat farmers had failed to observe optimal fertilizer consumption levels. It may, therefore, be recommended that the policies pertinent to optimal use of nitrogen fertilizers as tailored to soil and plant requirements should still be enforced as the pivotal approach. For this purpose, informal education on the whole crop rotation may be suggested as the main agenda with due heed paid to farmers’ socio-economic characteristics that affect their learning while farm water management as realized by the fertilizer-irrigation approach management of soil resources as implemented through soil tests prior to field operations and disseminated as a social culture among farmers, and the main focus placed on planting dicotyledonous plants in alternation with wheat.

In Iran, brown bears are in a wider range of conflicts with people than other carnivores. However, understanding the factors leading to conflict is a conservation priority, which helps prevent and reduce the damages. The aim of this research is to investigate the factors affecting brown bear conflicts as well as strategies used by local people to reduce the damage caused by this species in the Roshan Kooh no-hunting area, Fars Province. We used Daniel method for sampling by considering the size of households living in rural areas, and 200 questionnaires about the factors affecting brown bear attacks and the strategies used by local people for reducing damages were designed and local people were interviewed in 2019. For this purpose, social network analysis method was used. The results showed that from the perspective of the local communities, drought, brown bear stimulation and lack of fencing around orchards and beehives have the most centrality among the factors affecting brown bear conflicts with human. Among the solutions used by local people, the level of public trust before and after using educating children and inexperienced people, fencing around the orchards or beehives, and using herding dogs, is higher than other methods. The significant results of this research are the reduction of the centrality with the help from the Department of Environment (DoE) after use, which shows the low trust of local people after referring to the DoE. With the determination of the central role of education for children and inexperienced people, it is suggested that education to local communities is considered as a top of the management programs of the DoE.

Determining precipitation spatial pattern in a catchment is necessary for the calculation of hydrologic quantities such as runoff flow and soil moisture content. Sparse meteorological stations as well as spatial variability of precipitation are major obstacles for accurate spatial estimation of precipitation. The development of remote sensing technology and the possibility of using satellite precipitation products has facilitated attaining spatial precipitation patterns. However, low spatial resolution of satellite precipitation products highlights the need for downscaling methods. Nineteen predictive models were fitted using Regression Learner toolbox in MATLAB software. Annual TRMM precipitation data were downscaled from 2001 to 2017 using Normalized Difference Vegetation Index (NDVI), land surface temperature, land elevation and coordination. Models are divided into five general categories: Linear Regressions, Decision Trees, Support Vector Machines, Ensemble models and Gaussian Process Regression models. Comparing the downscaled TRMM data with gauges data, Boosted Ensemble model had the lowest root mean square error and highest correlation coefficient. On the other hand, two methods of Geographical Distance Adjustment (GDA) and Geographical Ratio Adjustment were compared for calibrating the downscaled precipitation. Smaller errors were obtained using GDA in all models.

Gully erosion is one of the most important types of water erosion, which has a great role in the destruction of land production capacity due to intra-regional and extra-regional effects. Preparing a spatial map of the possibility of gully erosion for better management of land use with the aim of reducing land degradation in areas prone to gully occurrence is very efficient. The distribution of this erosion in Iran and the extent of factors and processes affecting its creation have been a major obstacle in creating a comprehensive model for predicting its occurrence on a large scale. The purpose of this study is to prepare a map of the probability of gully erosion using the machine learning model of maximum entropy in Fars province. In this research, it has been tried to use variables related to terrestrial characteristics, especially soil. According to the results, the area under the ROC curve is above 90%, which shows that the model has been able to evaluate the gully erosion in the study area using the studied data. According to the results of the Jaknaev test, the variables of R horizon probability, soil depth, percentage of coarse grains, pH, and silt particles have the greatest impact on modeling moat erosion in the study area. The spatial distribution map of the occurrence of the gully is a map of land susceptibility to gully erosion. Based on the findings, the highest sensitivity to gully erosion is related to the south of Fars province. The map prepared in this research can be used as a basic map for land management, managers and engineers of urban planning, road construction, natural resources, and agriculture.

Earth's subsidence is one of environmental hazards that humankind faces in recent decades due to the extraction of groundwater resources in the plains. Over the past years, the desertification of plains in Iran has caused a great deal of economic and social damages to the country due to the decline in groundwater levels. Marvdasht Plain Aquifer has been significantly affected by this phenomenon in recent years. On the other hand, considering the location of historical monuments like Persepolis in this village, the issue of subsidence checking is important. Therefore, the present study investigates the relationship between the amount of groundwater extraction and subsidence situation in this region. In this study, Kriging statistical method was used to study the changes in groundwater level, and radar differential interferometry and COSMO-SkyMed radar images were used to estimate the rate of subsidence. Results showed that the average annual groundwater loss is 45 centimeters. On the other hand, the highest rate of subsidence in the oblast area is between 2.5 centimeters and about 15% of the area has a subsidence of less than one cm in the period from 2013/10/01 to 2014/02/01. Comparing the map of the groundwater level and the map of the earth's surface displacement, showed that the areas with the highest groundwater abundance have the highest displacement and ground falls about one cm for every 45 cm of groundwater level drop. Comparison between amplitude and subsidence pattern obtained from the results of radar interferometry technique with location, the density of wells and groundwater abstraction in this plain shows that subsidence has occurred in the same areas where the density of these wells and extraction of groundwater resources is high.

The materials added to the water from fish farms affect the water quality, as these are decomposed in the environment and may reduce the quality of the water so that it is not suitable for further use. Therefore, it is necessary to measure how water quality changes. The impact of the fish farms on the water in the Joobkhalleh River was investigated. Five sampling stations were selected before flowing into the farm, the outlet, and in 5, 8, and 10km after the farm, to be sampled 6 times in 2-month intervals in the spring 2015-winter 2015 period. DO (annual mean 9.0 mg/L), T (14.5˚C), pH (8.4), TDS (462mg/L), COD (8.1mg/L), [PO4]- (0.2mg/L), and [NO3] (1.3mg/L) did not show significant changes, while oxygen saturation, BOD (1.4mg/L), EC (711µS/cm), TSS (6.0mg/L), [NO2] (0.01mg/L), and [NH3] (0.13mg/L) differed significantly among the stations. Regression analysis proved a significant correlation between the increase with distance from the source for [NO2] (Pearson Correlation= 0.915), TDS (0.878), and EC (0.878). Comparison of the findings with water use criteria shows that most parameters were in the suitable range for aquaculture, except for the TDS, which was far out of the standard, and the ammonia which was slightly higher. Considering the effect of pH, these values for the annual average of ammonia and nitrite are considered toxic for fish farming. In conclusion, the annual average of ammonia and nitrite is toxic at the last point for fish farming due to the water pH; therefore, it is not appropriate to use the water for aquaculture development.

Gully erosion is one of the causes of land degradation, which causes a lot of damage with the loss of fertile soil. For this purpose, in the present study, using the Cochran relation, 40 gullies were selected for measurement in the Mazayjan watershed located in the southeast of Fars province. Factor analysis method was used to determine the factors affecting the classification of samples. Backward multivariate regression was used to determine the most effective factors in the formation, expansion and production of gutter sediment. The results showed that the creation area of ​​the gullies is a function of the variables of bare soil, organic matter and sand. So that with each percentage increase of bare soil, the amount of 0.379 is added to the creation area of ​​the watershed and at the rate of each unit, the percentage of soil organic matter and the percentage of sand are 0.349 and 0.363 units of the creation area are reduced respectively. Also, in determining the factors affecting the volume of gullies, the percentage of sand was the most important factor was reducing the volume of gullies. Therefore, in order to prevent the development of gullies and reduce the production of sediment, more attention should be paid to erosion control in the headcutchr('39')s gullies. It helped reduce gully erosion by increasing roughness and reducing runoff.

In this study, water use efficiency index (WUE) was used to assessing the effect of drought on the carbon and water cycle. To calculate this index, we used the gross primary product (GPP) and evapotranspiration (ET) products obtained from the MODIS sensor, and the trend of their changes and reaction of this index to drought were calculated for the period 2017-2001 in Fars province. Finally, we assessed the land degradation and desertification in different land uses for study area. The results showed that the indices of evapotranspiration, GPP, water use efficiency, and drought increased by 75.25%, 29.9%, 78.51%, and 67.23%, respectively. The effects of drought on evapotranspiration in agricultural lands and grasslands showed more than 67% positive relationship and also, in these land uses, we observed a significant positive relationship (33.4% and 12.5% for the agricultural lands and grassland, respectively). However, in shrubs lands, and savannas, it is more than 66.6% and 87.5%. The effect of drought on water use efficiency in grassland showed that more than 87% of these areas have a positive relationship. The effectiveness of water use efficiency in plants shows a positive relationship in 40.9% in this area, of which only 0.9% has a significant positive relationship. The negative relationship of this land use is about 59.1% of it. Of this negative amount, only 1.6% of the area had a significant negative relationship. The study of this relationship in the use of savannas shows 75% of this area, which includes 1.5 square kilometers.

Climatic factors are the most important factors affecting vegetation growth and production. The impact of each of these factors in each region varies depending on the vegetation type. The effect of climatic factors (rainfall and temperature) on the production of grazed plant species at 6 steppe sites in Fars province over a ten year period (1998 to 2007) was investigated. 60 plots of 2 square meters along 4 transects of four hundred meters were used to measure cover and production was measured by cutting and weighing method in 15 plots along transects. Then, using regression relationship between canopy cover (percent) and production (kg ha-1), the residual plot yield was calculated for that year. Important climatic indices analyzed in this study are: annual rainfall, growing season rainfall (March to June), plus and earlier rainfall, annual temperature, July temperature, August, maximum and minimum temperatures. The results showed that the average canopy cover was 6.3% and the average yield was 128.5 kg / ha and among the different vegetative forms of shrubs had the highest percentage of cover and production and wheat had the lowest cover and production percentage. Among the important climatic indices, annual rainfall and August temperature at all sites and the growing season rainfall at all sites except for the desired site were the most effective indicators on forage production and showed a positive and significant correlation with forage production.

Monitoring the area and their marginal land uses changes in lakes are one of the strategies to achieve proper management of lakes and wetlands. In the present study to monitor Maharlu Lake area and its marginal land uses changes in Fars Province, the Landsat images of 1987, 2001 and 2013 were selected in wet and dry periods (March and September). By applying geometric and atmospheric corrections, the maximum probability algorithm was used for providing land use map. The Kappa coefficients for the September of 1987, 2001 and 2013 were 0.85, 0.88 and 0.89, and for April of 1987 and 2013 were 0.86 and 0.88, respectively. After providing land use map and validation, the method of comparing satellite images was used to monitor the changes. The changes were monitored by comparing Landsat images after classification. Results showed that the Maharlu Lake area has decreased by 82% in September 2013 compared to 1987. This reduction was 20% in March, 2013 compared to 1979. By reducing the water level of lake in September, bare soil and saline lands were increased by 39 and 37.5%, respectively. Agricultural and range lands have been decreased by 28 and 3.5% from 1987 to 2013, respectively. In general, the area under cultivation around the Maharlu Lake and the water level has been decreased significantly due to the lack of significant changes in rainfall during the long-term period and significant increase in evapotranspiration of Maharlu area during the last three decades. Due to recent droughts, bare soils and saline lands have been increased during this period. This has different consequences which require the proper management and planning of lakes and wetlands, especially during the drought periods.

With due attention drought and water deficit in recent years, artificial recharge (A.R.) projects have been special importance as a solution execute for comparison with present state. A.R. projects effect on environmental, social and economic dimensions through direct or non-direct. This efficient can sustainable or non-sustainable for development dimensions. First, sustainability development of A.R. projects need appointment and description assessment framework. One of the effect framework for sustainability assessment of environmental, social and economic is DPSIR framework or driving force-pressure-state-impact-response. In this search, assessment criteria and indicators appoint with DPSIR framework, area condition, special view to A.R. project of Kal (south of Fars province) and notice area environmental, social and economic problems. Research method is questionnaire- analytic method. This research be based on Delphi method and asked from 16 experts. Results show, 10 criteria appoint for environmental, social and economic dimensions. Also, 100 indicators appoint for three dimensions. For environmental dimension (with 4 criteria) 54 indicators, social dimension (with 3 criteria) 27 indicators and economic dimension (with 3 criteria) 28 indicators

Climate change and human activities have a direct impact on land vegetation. Decreased rainfall and increased temperature are among the climate change factors leading to significant changes in water resources and energy balance in affected areas. On the other hand, human activities such as growing population, overgrazing and land use changes that make change in land conditions, also cause land degradation and desertification. Land degradation is a negative environmental process defined by many authors using different methods. Some authors have defined land degradation as reduced potential for land production or long-term decrease in ecosystem performance, while others have determined land degradation as decreased resources over time due to negative effects of human activities. Despite these definitions, all definitions imply that land degradation causes decrease in potential of land resources to meet the ecosystem needs. There are several methods for assessing land degradation at different spatio-temporal scales. Land degradation is the result of a prolonged decrease in vegetation and initial production at spatio-temporal scales. Therefore, long-term study of vegetation can be used as a strong index for assessing land degradation. According to studies, one can conclude that arid and semi-arid regions are very sensitive to climate change, and on the other hand, vegetation well illustrates these changes. Therefore, due to the fact that Fars province occurs in arid and semi-arid regions of Iran, this study aims to investigate the process of land degradation using trend analysis of climate data and vegetation indices in Fars province.

Fars province covers 122000 km2, which accounts for 7.4% of the country's total area. Monthly products of NDVI index from Terra satellite, MODIS sensor MOD13A2 were used in this study in order to investigate vegetation. Also, climate data of temperature and precipitation with the monthly lag from the synoptic stations in the region, with appropriate distribution at the province scale and a common time base during the period of 2006-2016 were used. The NDVI products were used to calculate vegetation index for the period of 2006-2016. Google Earth software was used to assess NDVI values in different regions of Fars province. In order to collect the field data, the available images from Google Earth for each year were taken as random sampling points, and then the consistency rate of vegetation and NDVI index were evaluated. Also, we use used MODIS land cover-type product (MCD12Q1, 500 m) for land cover information 2006–2016. After obtaining climatic (temperature and rainfall) data for the stations in the present study, temperature and rainfall maps were prepared using inverse weighted distance interpolation method. Inverse Weighted Distance (IDW) method interpolates the unknown quantity by weighing the data around the point. Mann-Kendall test and Theil–Sen estimator were applied to calculate the monthly changing trends of vegetation, temperature and rainfall in the study area. Theil–Sen estimator was used to confirm the accuracy of the trend changes. After analyzing the trend of climatic data and vegetation index, the correlations between these indices were investigated. The linear correlation model was used for monthly NDVI, temperature and rainfall time series. All statistical analyses were performed in IDRISI software on a monthly basis for the period of 2006-2016.

The changing trend of vegetation, rainfall and temperature showed that these indices show different changes during the period of 2006-2016. Changes in NDVI index indicate that the value of this index varies from 0 to 0/55. The changing trend of NDVI index showed a decreasing trend for this index during the time period, but climatic indicators of temperature and rainfall showed increasing trends. The trend of changes in NDVI index showed that this trend is not the same throughout Fars province so that 22.4% of the area of Fars province showed a decreasing trend in terms of vegetation. On the other hand, the decreasing rend of vegetation was significant for 7.8% of the study area. 13.2% of the area of province indicated no correlation as well as no trend for this period. The increasing trend for vegetation accounted for 64.4% of the area of province. The analysis of rainfall trends showed that this index had a decreasing trend in 86.1% of the area of the province. Rainfall changes without any trend accounted for 9.7% of the province's area, while the increasing trend for rainfall was found for only 4.2% of the province. The study of the temperature trend showed that only 2.4% of the province showed a decreasing trend. About 0.02% of the province showed temperature variations without trend, and 97.5% of the province indicated the increasing trend of temperature. The correlation between NDVI and rainfall indicated that in 81.8% of the province area, there was a negative correlation between vegetation and rainfall, and about 1.8% of the province had no correlation with the trend of changes in vegetation with rainfall. Positive correlation between these two parameters also was found for 16.4% of the province. The relationship between temperature and vegetation indicates that the negative trend of this correlation is observed in 53.3% of the province's area. Also, about 11.8% of the province did not indicate any correlation between vegetation and temperature. The positive correlation between these two indices was found for 34.9% of the province, so that the temperature increased with increasing vegetation, of which in 13.3% of these areas the correlation was positive and significant. The correlation between temperature and rainfall also shows that there is a negative relationship between temperature and rainfall over 97.4% of the province, of which has a negative and significant correlation was observed for ​​24.5% of the province's area. Also, in 1% of the area of ​​the province, there was no correlation between these two parameters and in 1.6% of the total area of ​​the province, the relationship between rainfall and temperature was significant and positive.
 

Based on the results, increasing and decreasing trends in the vegetation and climatic parameters were variable in the different regions of study area. An increasing trend (about 64.1%) for vegetation was observed in the study area and mainly in agricultural land use. On the other hand, during this time period, the trend of climatic parameters such temperature and rainfall were increasing and decreasing until 2016, respectively. Therefore, more than half of Fars province is characterized by rainfall shortage and increased temperature, which ultimately would result in reduced water for agriculture. The analysis of the vegetation trend in Fars province showed that 22.3% of the study area had a negative trend during this 12-year period. These areas are mainly rangeland and forests. According to results, correlation analysis showed a negative correlation between NDVI and rainfall and a positive correlation between NDVI and temperature in these areas. Another reason for this negative correlation is the adaptation of plants to the region conditions which has made the plants more resistant to drought and water stress (Lamchin et al., 2018).

Doroodzan Dam basin is one of the strategic agricultural areas in Fars province. Changes in time series of climatic parameters, especially temperature and precipitation parameters, can have a significant impact on the growth cycle of agricultural products, the status of water resources and the economy of the populations in the area. In the present study, rainfall and temperature trends were investigated in 13 rainfall stations and 4 thermometric stations. Initially, the change point pettitt test was used to assess the homogeneity and change point in the time series. Then, trends in the rainfall, average monthly and annual temperature time series were investigated using Mann-Kendall (MK), modified Mann-Kendall (MMK) and the sen’s slope methods. The results of the pettitt test showed that there is no significant change point in the monthly and annual rainfall and monthly temperature time series, only in the annual temperature of two stations, there is a significant change point at the 95% confidence level. The results of the trend analysis with all three abovementioned methods showed that the monthly precipitation in all stations and annual precipitation in most stations have a decreasing trend and the average monthly and annual temperature have an increasing trend; however, in none of the time series, the trend was significant in the confidence level of 95%. Based on the results, in the whole area, the mean annual temperature increased by 3.7 percent and precipitation decreased by 9.1 percent compared to the mean.

The aim of this study was to identify the factors affecting ranchers' participation in the conservation activitiesof range management projects in Fars province. Using stratified random sampling method, 89 rangeland projects were selected based on the climatic conditions, vegetation cover, and the number of range management projects implemented. Data were collected using designed questionnaires and interviewing with 267 active ranchers in the rangelands. Poisson regression model and quasi-maximum likelihood estimation were used to identify the factors affecting participation of ranchers in the conservation activitiesof range management projects. According to the results, variables such as experience of ranchers and the number of ranchers in each range management project had a negative effect on the participation of ranchers in the conservation activitiesand it was significant at 1% level. Variables such as the level of formal education, the number of households employed in the agricultural sector and the relation with Natural Resources Offices and the relevant organizations had a positive relationship with participation in conservation activities; however, it was not statistically significant. Variables such as the amount of information passed to the ranchers after their involvement in range management projects, duration of grazing, the area of rangeland allocated to each rancher in the project, and the number of sheep and goats had a significant positive effect (P < 0.01). Based on these findings, it is necessary to express the importance of conservation programs and activitiesto the ranchersbased on theindigenous and scientific knowledge. Moreover, through empowering ranchers and providing the opportunities for investment in appropriate complementary activities, their participation in conservation activities and using rangeland services is enhanced, which would lead to sustainable livelihood.

Landslide is one of the most important factors of soil erosion, and is a natural disaster that makes numerous financial and life damages each year. Therefore, identifying this phenomenon, effective agents in landslide occurrence, and determination of susceptible areas is necessary for reducing damages of this phenomenon. The aim of this study is to evaluate landslide hazards in the Kharestan Watershed, Fars Province. Firstly, maps of the main factors affecting landslide occurrence including slope, direction, height, rainfall, distance from fault, distance from the road, distance from the waterway, land use, lithology and landslide were prepared. Each basic layer and landslide map was integrated to compute the rate of each parameter using LNRF and WINF models. Then, with overlapping different data layers, landslide hazard zonation maps were prepared. Finally, three indices including Landslide index (Li), Density ratio (Dr), and Quality summation (Qs) were used in order to choose the premier model. Results showed that in the LNRF model 17.59 and 79.63% of watershed were located in high and very high zone of risk map respectively. The quantity of Qs in the LNRF model is 4.52%. Based on these results it can be concluded that LNRF model shows a better performance for landslide hazard zonation.

One of the main problems that the human beings are facing these days, is the occurrence of the hydrological droughts and the resulting water crisis. Since the hydrological droughts happen gradually and have long term effects, drought monitoring is of a high importance. Among the indices of drought monitoring, the rainfall abnormality index (RAI) is being widely employed because of its simplicity and high accuracy. The required precipitation data have been gathered from 10 hydrometric stations with an appropriate distribution in the studied region, including the Kazeroun, Dasht Arjan, Farashband, Band Bahman, Jahrom, Joukan, Bovanat, Kaftar Lake, Ghalat, and Neyreez stations. The gathered data are for a statistical period of over 20 years from 1991 to 2011. The drought zoning diagrams are presented for long periods and the most severe droughts are determined. The results revealed that in all stations¡ generally and roughly, drought occurred sporadically in the form of a 1-year periods between 1991 and 2001. And between 2002 and 2011 drought, mostly occurred in the form of multi-year long periods. Based on the RAI¡ the two most severe droughts occurred in 2000 in Jahrom station showing an index value of -3.94 and in 1994 in Kazeroun station with an index value of -3.87. Moreover, RAI shows that the most precipitation was recorded in 1996 in Neyreez station with an index value of 4.63.

Fars province is regarded as one of the important poles of tourism in Iran, because it has enormous potential in terms of natural, historical and cultural attractions. Such cases can be noted in arid areas and deserts and can have very high potential in attracting tourists. In this research, with an emphasis on the desert areas of tourism, the tourism potential in three playas: Shiraz, Neyriz, Meydane Gel were evaluated using both tourists, expert, and data knowledge comparitively. Thus, first, in order to investigate the potential of the three playas, questionnaires from the perspective of tourists and experts were used, and ArcGIS software was used for preparation of layers in data knowledge. Then, TOPSIS model was used to rank the deserts in the form of three scenarios. The results showed that in all three scenarios, Shiraz desert with an average score of 0.95 was ranked first, and then Neyriz deserts and Meydane gel with mean of 0.71 and 0.14 were prioritized in the second and third orders. Therefore, in the development of ecotourism desert in Fars province, Shiraz desert has the highest priority which is prone to develop ecotourism desert.

Environmental Impact Assessment (EIA) procedure are those incrusted in the said as assurance in the way of criteria and environmental regulations in various plans of the past and its main aims is to predict, recognize, including an analysis in detail of all the positive and negative impacts of a plan on the natural and human environment. The purpose of current study was to Environmental components (physical, ecological and socio-cultural) assessment of Feyzabad irrigation and drainage network in Fars province. In this study, ICOLD Matrix method has been used. In this method the environmental components of each project activity in the construction and operation phases were measured. Finding revealed that plans impacts were positive in environment (힏 score). While, the socio-cultural, ecological and physical components respectively are allocated ퟎ, -13 and -26 scores. In other words, the existence of negative impacts on the environment, substantial positive impacts will be seen in the region. Therefore, implement of Feyzabad irrigation and drainage network in Fars province with standards is permissible. According to results, some recommendations have been presented at the end of article.

The aim of this study is determination of probability of occurring precipitation status under the condition temperature status and. zoning map preparation. For this purpose, the daily temperature and precipitation data from 13 synoptic stations were used in Fars province which includes at least the period of 20 years. At first were determined different scenarios of temperature and precipitation. In the next step, daily common frequency of temperature and precipitation events were counted and presented in matrix. In the following, common probability matrix of temperature-precipitation events was calculated. Finally, probability of precipitation under the condition temperature status was calculated for each station. Then 9 probability characteristics of 13 stations were analyzed clustery based on partial Euclidean distance indicator by wards method and their dendrogram were plotted. In the final step, zoning and probability maps was prepared using GIS software. The results showed that based on conditional probability characteristics, study area are divided in to three zones. Also, average results of probability of precipitation under the condition temperature status indicate high chance of days without precipitation and warm than other modes. In all three study zones, the days with high precipitation and low temperature are in second degree of chance. The minimum chance of occurrence, related to days with heavy rain and warm.