@article{ author = {Bayat, Reza and Arabkhedri, Mahmood and Behnam, Najmeh and Gerami, Zahr}, title = {Performance evaluation of EPM and MPSIAC Models for determination of Erosion Status of Shahriari Watershed}, abstract ={Soil erosion is one of the most important environmental issues in developing countries, including Iran that there is inaccurate information about its amount and distribution. For this purpose, the accuracy and distribution of erosion classes obtained from EPM and MPSIAC models as compared to BLM as ground truth values were evaluated in Shahriari watershed. First, the required data and information for MPSIAC, EPM and BLM models for basin erosion status was stored in a database. Then, using ARC/GIS9.3 software, erosion class maps were prepared based on each model formula and they have been intersected with the ground-truth map. Also a point map containing 1400 random points was also prepared for sampling the maps obtained from the models. Then, based on random sampling points map, each of the statistical indices of RMSE, RRMSE, MAE, MBE, NSE, CD, CRM and MSE were calculated. Also, to verify the spatial accuracy of the erosion class maps derived from the error matrix models and the Kappa coefficient of agreement, overall accuracy, producer accuracy and user accuracy. The results of the erosion of the models showed that the mean erosion intensity in MPSIAC model was 589 and in EPM model 287 m3/ km2.year that the basin erosion status is estimated to be moderate for the basin with the help of MPSIAC model and EPM model. The analysis of the above statistical indices shows that the RSME, MAE, MBE and MSE statistics in MPSIAC model have lower values. As a result, the MPSIAC model has less error than the EPM model. Overall, the results of the statistical indices showed that the MPSIAC model's erosion classes were more in line with the BLM output (as a ground truth map) than the EPM model. Also the kappa coefficient in MPSIAC is higher than in EPM model. Overall, the results show that the MPSIAC model erosion class maps overlap with the BLM model and in fact with the actual conditions of the area.}, Keywords = {Kappa coefficient, Accuracy of erosion classes, erosion, BLM, Shahriari, Spatial accuracy, MPSIAC}, volume = {7}, Number = {3}, pages = {1-16}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.1}, url = {http://jsaeh.khu.ac.ir/article-1-3067-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3067-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {mehrabi, ali}, title = {Spatial Analysis and Monitoring of Slope Stability using Persistent Scatterer Tecnique of Sentinel 1 Radar Images, Case Study: Sarcheshmeh Copper Mine}, abstract ={Based on the correlation diagram between the master and slave images (Fig. 5), the pair of appropriate images in terms of the shortest spatial and temporal lines is identified to produce the interferogram. As shown in Fig. 5, the maximum vertical baseline is obtained between -400 and -400. The obtained interferograms indicate the cumulative phase of the study area, which fluctuates between zero and 2ᴫ. Using StaMPS method on interferograms, 650 points were identified and selected as permanent scatter points in the study area. As can be seen in Figure 7, the cumulative displacement of the permanent dispersant points varies from + 45 mm to -45 mm. The displacements occur in the direction of the satellitechr('39')s view so that the positive numbers Indicates surface approach to satellite and the uplift and the negative numbers indicate the surfacechr('39')s distance from the satellite and the subsidence. As shown in the figure, in the western part of the mine wall, areas of 100,000 square meters have been heavily subsided. The next area, which has high subsidence points, is in the eastern part of the mine wall with an area of 68,000 square meters. The third area is located in the northwestern part of the mine with an area of 17,000 square meters. By measuring the amount of displacement of Persist Scatters points, the altitude changes occurred in the mining area. Based on the results, the altitude variation changes in the range of 45 mm to -45 mm per year. Accordingly, 3 subsidence area were identified in western, eastern and northwestern parts of the mine wall with an area of 100, 68, and 17 thousand square meters. Considering the importance of the subject and in order to prevent the destruction of the mine wall, more precise geotechnical studies are needed in these specified areas.}, Keywords = {Radar Interferometery, Times Series, Stability Analysis, Displacement Rate, Sarcheshme Copper Mine}, volume = {7}, Number = {3}, pages = {17-28}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.17}, url = {http://jsaeh.khu.ac.ir/article-1-3059-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3059-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Pilpayeh, Alireza and NajafianGhojehbiglou, Davoud and Saadi, Tofigh and Rahmati, Akbar}, title = {Analysis of drought situation in Iran using ECMWF precipitation product}, abstract ={Drought is one of the natural disasters occurring over a long period of time compared to other natural phenomena which intermittently impedes human societies through the negative impacts on water and agricultural resources and subsequently the economy. One of the methods of drought monitoring is the use of drought indices such as SPI. In this study, SPI index was used to study drought over the period 2001 to 2016. The SPI index is purely based on precipitation, so it is important to select a proper precipitation source to extract the SPI index at different time scales. Synoptic stations, due to lack of proper distribution and high statistical gaps, cannot be a reliable source of precipitation in this type of research, so global precipitation datasets having high spatial and temporal resolution can be used as a viable alternative to ground stations, in this study the Era-interim precipitation product, which is the product of the European Center for Medium range Weather Forecast was used. Initial results indicated that the Era-interim precipitation product could be used as a viable alternative to synoptic stations nationwide. Therefore, this precipitation product was used to assess the drought situation in the country. The study of drought status with respect to SPI indicated that with increasing SPI time scale dry and wet conditions became more severe so that mild dry and wet conditions in most in most month and years turned into severe dry and wet conditions.  }, Keywords = {Era-interim, Drought, SPI index, Spatio-Temporal resolution, Synoptic}, volume = {7}, Number = {3}, pages = {29-46}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.29}, url = {http://jsaeh.khu.ac.ir/article-1-3055-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3055-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Basiry, Zeynab and Rostami, Noredin and Salehpourjam, Ami}, title = {Identification and Prioritization of Effective Indicators on Preventing Sustainable Participation of Rural Societies in Combating Desertification Plans (Case Study: Mousian Region, Dehloran)}, abstract ={The main purpose of the research is the identification and prioritization of criteria and indicators affecting on lack of sustainable participation of rural communities in combating desertification plans in Dehloran, Ilam province. To determine the number of sample villagers, 189 family were selected using the Cochran formula. In this research, after determining the effective indices and also indicators in the lack of sustainable participation, the questionnaire was designed and its validity was determined by the relevant experts. The reliability of the questionnaire was also tested and validated by calculating the Cronbach's alpha coefficient. Data were analyzed using AHP and Friedman nonparametric test. The findings of the research show that the results of prioritizing the indicators that affect the lack of stakeholder participation in the AHP based combating desertification plans from the experts' point of view, design-implementation, and educational-promotional criteria are the maximum and minimum priorities, respectively. The results of criteria ranking using the Friedman test in terms of rural residents also indicated that the economic criterion is placed in the first priority and design-implementation, social criterion and educational-promotional are in the next priorities, respectively. Likewise, the results of effective indicators ranking in the lack of sustainable participation of rural communities in combating desertification plans based on the Friedman test in term of the experts’ viewpoints indicate that “ignoring people's income as a direct incentive to implement combating desertification projects” are the most significant economic indicator. Similarly, in the compartment of executive design indicator, from the experts’ viewpoint “the lack of a comprehensive participatory management program to combating desertification” and from the viewpoint of residents of the village “the lack of attention to popular opinion in the design and development of projects are prioritized as the most important indicators. In prioritizing social indicators from the viewpoint of the experts “dependence of the villagers on the state power, distrust of the results of combating desertification plans as well as low literacy level” and in terms of villagers’ opinions, “distrust of the results of combating desertification plans, the dependence of rural residents on the state power, migration of youth” are introduced and prioritized as the most substantial indicators. In the educational-promotional criterion, in terms of both views “lack of training the residents of the area regarding combating desertification projects and the related purposes, as well as lack of utilizing the local promotional group”, are determined as the main important indicators.}, Keywords = {Stakeholders, multi-criterion decision-making, Analytical Hierarchical Process, Delphi method, Friedman test, Dehloran.}, volume = {7}, Number = {3}, pages = {47-60}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.47}, url = {http://jsaeh.khu.ac.ir/article-1-3068-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3068-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {keikhosravi, ghasem and khaledy, shahriar and Yahyavi, Ameneh}, title = {Investigation of Foehn phenomena Mechanism in the western Alborz Mountains}, abstract ={This study was conducted to investigate the foehn mechanism in the Alborz Mountains.For this purpose, daily temperature, mean and maximum daily temperature, minimum, mean and maximum daily relative humidity, hourly wind direction and velocity data were collected and prepared at 8 selected stations over a 10-year statistical period (2006-2010). To derive the sum of frequency of occurrence of foehn, hot days are extracted using Baldy index and taking into account wind direction relative to station position and temperature rise compared to previous days were identified as days associated with foehn. Then, using NCEP / NCAR database data, different atmospheric alignment maps were obtained for the selected samples and plotted in Grads software environment. Then the position of high pressure cores and adjacent low pressures on the maps were determined. Results showed that Masouleh station with 41 days frequency and Astara and Bandar Anzali station with 18 days had the highest and lowest occurrence of foehn. Investigations on the synoptic maps of 35 foehn events showed that a total of three groups of Anti-cyclone or high-pressure centers were affected by the synoptic pattern of the region in the days involved. The first group is the Siberian High Pressure Tabs, whose cores are located in the confines of Lake Baikal, Balchash and northern Pakistan, depending on the season and synoptic conditions. The low pressure cores are located on the Caspian Sea and the pressure difference between the high pressure tab of the Alborz Outer Slopes and the Caspian Sea causes a compressive stress. In this model, Cyclone currents with increasing moisture of the Caspian Sea on the western slopes of Alborz Heights cause precipitation and warm flow due to warming under windward slopes. The second group is the anticyclone of Saudi Arabia, in which specimens with spin cores are deployed on southwestern Iran. As the north side of the Arabian High Pressure extends northwest of Iran and the presence of low polar pressure in the Caspian region with intensified compressive flow causes currents southwest along the perpendicular heights. Western anticyclone currents in the Arabian Sea circulate the moisture of the southern warm seas to northwestern Iran. The third group is a combination of African anticyclones, immigrants, Siberian highs and its tabs that create a thermal and compressive style over the study area and west of the Alborz Mountains. And provide the basis for the formation of the foehn phenomenon.}, Keywords = {warm wind, synoptic, anticyclone, cyclone, western Alborz mountains}, volume = {7}, Number = {3}, pages = {61-78}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.61}, url = {http://jsaeh.khu.ac.ir/article-1-3091-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3091-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Jahdi, Roghayeh and Darvishsefat, Ali Asghar and Badripour, Hossei}, title = {Wildfire risk and exposure modeling using geographic information system in Khalkhal and Kowsar municipalities}, abstract ={Wildfires have proven to cause considerable damage to natural environments in Ardabil in the last years, and the prevalence of such events is anticipated to increase in the future. Fine scale wildfire exposure and risk maps are fundamental to landscape managers and policy makers for prevention, mitigation and monitoring strategies. In this paper, we provided 100 m resolution wildfire risk and exposure metric raster grids for the fire-prone municipalities in South Ardabil province corresponding to a fire simulation modeling and a geospatial analysis with a geographic information system, along with complementary historic ignition and fire area data (2005-2018). Fire risk parameters (burn probability (BP), conditional flame length (CFL) and fire size (FS)) were generated with FlamMap Minimum Travel Time (MTT) algorithm considering fire weather conditions during the last 14 wildfire seasons. Moreover, we estimated fire potential index (FPI) to spatially analyze where large fires likely initiate. Average BP, CFL and FS ranged from 0.00007 to 0.0025, 0.05 to 1.6 m, and 54.7 to 360.3 ha, respectively, that highlighted a large variation in the fire exposure factors in the study area. The calculated FPI showed two major areas with the highest values, where historic ignitions were high, and where large areas of faster burning fuels were present. The results of this study can be useful for analyzing potential wildfire risk and effects at landscape scale, evaluating historical changes and future trends in wildfire exposure, as well as for determining fuel treatment strategies to mitigate wildland fire risk.  }, Keywords = {MTT algorithm, Fire risk, Historic ignition, Burn probability, Landscape scale}, volume = {7}, Number = {3}, pages = {79-94}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.79}, url = {http://jsaeh.khu.ac.ir/article-1-2987-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-2987-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Haidari, hamed and Yarahmadi, Dariush and Karampour, Mostaf}, title = {Identification of potential sources of dust in Lorestan province}, abstract ={Dust phenomenon is one of the climatic fronts that is often formed in the dry and desert regions of the world, and is known as a natural hazard. Occurrence of walnuts causes dust, damage to the environment and the occurrence and exacerbation of respiratory, cardiac, air traffic and threats of tourism, agriculture and so on. Also, in the health section of the compounds in calcium dust, more than 2.5 g of it causes the appearance of kidney stones, and blood vessels. Iron causes swelling of the conjunctiva and retinal inflammation, as well as the syndrome. Magnesium causes depression, depression and dizziness of the individual. Short-term breathing of aluminum leads to coughing and irritation of the lungs and prolonged breathing causes damage to the lungs. In recent years, the identification of dust source areas has attracted the attention of researchers in numerous studies, and have introduced various areas around the world as the main source of generous production. The country of Iran, and in particular the Western and Southwestern logic of Iran, is constantly experiencing the phenomenon of dust and its problems. In the west of Iran, desert areas are located in the deserts of southern Iraq, Saudi Arabia and far away from Syria and North Africa. The geographic location of the southwestern part of Iran and its proximity to these deserts have led to a frequent occurrence of the phenomenon of dwarfs, which are different throughout the year. In this research, two categories of data were used: the first group is data on climatic elements or unstable elements. The annual climatic layers of the region were used for a 30-year statistical period of 2016- 2016. Measurement data on the temperature of surface temperature was obtained from a MODIS sensor in a 17-year statistical period (2000-2016). The second group of data layers and information on the ground factors or factors were stable. The layers of these variables included: The digital elevation layer of the area with a precision spacing of 30 meters from this layer was used as the elevation layer of the area. 2. The slope of the region, in percent, which is the layer derivative of the digital elevation model and derived from the same specifications of the DEM layer. 3. The surface layer of the surface layer that was taken from the MODIS surface coating product 4. Layer of vegetation on the surface of the earth, which was also taken from the 1 kilogram MODIS vegetation cover 5. Soil layer that was prepared by the country's water and soil organization  The method of conducting analytical and statistical research in which the main objective is the determination of areas conducive to the formation or expansion of dust cores. In this regard, the establishment of land-based and climate databases is the first stage of work, after forming the required databases, the formation of information layers These data are in the GIS environment. In order to form these layers, the interpolated models in GIS were used and the optimal model was selected in such a way that less error values ​​were obtained. After forming the existing layers, we classified and weighed each layer based on the AHP weighting algorithm. Finally, due to the assigned weights, the overlaying of the weights of the layers in the GIS environment was obtained and finally a potential capability map of the formation of local dust collectors in Lorestan province was obtained.  The rainfall factor is the most important and most important factor in determining the areas susceptible to becoming dusty. The weight of this factor in determining and identifying areas susceptible to dusty cores was equal to 239%. Vegetation factor, which was prepared using the NDVI indicator of the MODIS product, was the second factor in the development of dust-prone areas with a weight of 199.99. Relative humidity factor is the third factor or component that influences the determination of suitable areas to become the local focus of dust. The weight of this factor is equal to 0.15. The wind speed factor is in the fourth place in terms of determining the areas susceptible to dust. The relative weight of this factor is estimated at 116.0. As shown in Table 14, slope and elevation factors are the least important factors that can play a role in the production and development of dusty centers. The weight of these factors in identifying areas susceptible to formation of dusts is 0.024 and 032.2, 0 is detected. The calculated incompatibility index for this weighing is as high as 4.8, as shown in Table 15, which indicates that the contradiction between the offered weights of indices relative to each other is less than the allowed threshold (12).  Neutbay expressed the highest concentration of areas susceptible to dust mites in the eastern region, especially the northeast of the province, which includes the cities of Azna and Aligudarz. There are also parts of this category in the southern regions of the study area, including the cities of Poldokhtar and Rumshagan. In the central regions of the province as well as in the northwest of the province including the Khorramabad, Delfan, Dynasty and Dorood districts this class is not observed. In the southern parts of the city of Kohdasht, small parts of the floor of the potential centers of dust are also observed. This flooring has the most risk of becoming a dusty focus. The power source of many of the province's dusty incidents can also be said to be areas where some of them are currently potential sources of dust. Since they have played a major role in the identification and detection of these areas, rainfall and vegetation cover, these areas are exactly in line with parts of the province, which, firstly, have a mean rainfall of less than 250 mm, and the density of vegetation is less than 2 / 0 (NDVI index), which represents a very poor vegetation and, in fact, a lack of viable vegetation. In terms of land use, these areas, or inferior land, or very rangelands, are very weak.}, Keywords = {Dust, Potential, Remote Sensing, Modis Sensor}, volume = {7}, Number = {3}, pages = {95-106}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.7.3.95}, url = {http://jsaeh.khu.ac.ir/article-1-3402-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3402-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Jaberi, Parisa and Sabetghadam, Samaneh and Ghader, Sarm}, title = {Visibility prediction during fog and precipitation using the WRF model over Tehran}, abstract ={Visibility is one of the most important optical characteristics of the atmosphere. Prediction of visibility is essential for air pollution, air traffic, flight safety, road traffic and shipping. Visibility reduction may be caused by different reasons. Fog is one of the most common reasons of visibility reduction, i.e. the droplets of water suspended in the atmosphere reduce the visibility to less than 1 km. Precipitation may also reduce visibility. Prediction of visibility in NWP models is usually accomplished by using the relationship between visibility and liquid water content, temperature, relative humidity. Purpose of the present work is to predict visibility during fog and precipitation over Tehran area in January 11th, 2014 and March 7th, 2013. Different algorithms including UPP1, AFWA, FSL and SW99 have been experimented to predict visibility.. Predicted visibility has been compared to observations, including Synoptic and METAR data in Imam Khomeini and Mehrabad airport.  The  WRF version 3.8.1 has been used to simulate precipitation and fog. In this simulation model configuration defined in Lambert uniform space. The model consist three nested domains. First domain was a 27-km grid model (83×65), surrounding a 9-km grid model (112×94) which was surrounding a 3-km grid model (112×97). Center of all domains was at longitude 51° and 44' and latitude 36° and 5' which is located almost at center of Tehran. All domains had 40 vertical layers and model top was located at 100hPa. The out puts of 3-km domain is used for visibility estimation. Initial and boundary conditions were set by using FNL data which is 1°×1° degree grid data. This data is available every 6 hours. Simulations were in 36 hours and first 12 hours was the spin up time. Results show that most of these algorithms can partly predict visibility reduction. The FSL algorithm works better than the other methods in fog situation and SW99 works better in snow situation. Comparing results shows that the visibility reduction during snow is more reliable than during fog. There were some errors in model predictions some of them were due to visibility algorithms, because the coefficients of these algorithms were driven in other parts of earth. The other errors were systematic errors of WRF. Predictions of temperature had warm bias and also there were positive bias in prediction of relative humidity.    }, Keywords = {visibility prediction, WRF, fog, precipitation}, volume = {7}, Number = {3}, pages = {107-124}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.107}, url = {http://jsaeh.khu.ac.ir/article-1-2957-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-2957-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Derafshi, Khabat}, title = {The flood risk changes effective factors in Tehran Metropolis}, abstract ={In this study, the risk map as an index to define the said complexity was prepared in 5 categories of risk by combination of Tehran metropolis flood hazard and vulnerability maps. To analyze the risk varieties, the hydrological catchments of Tehran were extracted by Arc Hydro model and 12 catchments were selected. Using land use, roads network, and the percentage of residential floor area, bridges, altitude, slope and drainage density variables, the flood hazard map was calculated. Dilapidated urban blocks, population density, land use, bridges, slope and drainage density layers were used as variables which affecting the flood vulnerability. Covariance index was applied for matched variables and considering the locational coherence between the values of them. Based on the new raster layers, flood risk variability in Tehran metropolis as well as in each of the catchments were analyzed using stepwise regression model. Explanation of locational changes of risk between the catchments needs to calculate the weighted average risk and the independent variables in 12 catchments that obtained by zonal statistics. Based on these average values the factor analysis used to determine the varifactors or main components of the variability in flood risk between the catchments. Finally, fractal geometry models (perimeter-area and cumulative number-area) were used to demonstrate the chaos of the flood risk value in 5 categories of risk. According to the flood hazard zoning map of Tehran metropolitan area, the extent of high hazard zone is 129.6 square kilometers. High risk zone covers 28.6% of Tehranchr('39')s area, indicating that most of the citychr('39')s extents (174.4 square kilometers) are located in the high flood risk zone. After that, the moderate hazard zone is 28.5% of the city area. Very low zones with 3.53% of the total area are the smallest zones in the city, which are only 21.5 square kilometers. Overall, 78.3 percent of the total area of the city is located in the moderate to very high zones of flood hazard, reflecting Tehranchr('39')s challenge to flooding. The vulnerability map defines that 138 km2 of the Tehran city area is located in high and very high zones of the flood vulnerability. According to Tehran metropolitan flood risk zoning map, 163.1 km2 of Tehran city area is located in high risk zone which has the highest rate among flood risk categories in Tehran metropolis (26.9%).}, Keywords = {Food risk, Worn-out texture, AHP, Factor analysis, Tehran}, volume = {7}, Number = {3}, pages = {125-146}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.125}, url = {http://jsaeh.khu.ac.ir/article-1-3094-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3094-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {Mojarad, Zeinab and jamalabadi, javad and Shafiei, Najmeh and zanganehasadi, mohammad َAli and parak, Kobr}, title = {The zoning of the risk of mass movements using information valuation methods and surface density in the ghouchan- Shirvan watershed}, abstract ={Mass movements are among the morphodynamic phenomena that are affected by various factors at the level of the mountainous slopes. Massive movements and instability of the range are important hazards for human activities. Which often leads to the loss of economic resources and damage to property and facilities. These issues highlight the need for zoning the risk of mass movements as the first step in the proper environmental management of this phenomenon. In this research, we investigate the risk zone of mass movements using information estimation and surface density methods in the Watershed--ghochan-Shirvan Basin. For this purpose, at first, 12 important information layers affecting mass movements such as lithology, slope, elevation, rainfall, tide, erosion, climate, distance from the road, distance from fault, distance from the river, soil and land use, and digital They were. From the combination of operating maps with land surveys, the percentage of landslides in different units of each map was obtained. By calculating surface density, the information value of each factor was determined. Finally, a landslide risk zoning map was prepared by integrating different weight weights into two different information weighing models and a surface density model. The results of this study show that the southwestern part of the basin has the highest amount of landslide. Lithology is the most important element in the occurrence of landslides in the range. The surface density model is worth more than 12%.}, Keywords = {Shirvan watershed, information weighing method, landslide, surface density model.}, volume = {7}, Number = {3}, pages = {147-162}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.147}, url = {http://jsaeh.khu.ac.ir/article-1-2853-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-2853-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {omidvar, kamal and mahmodabadi, mehdi and shams, parisa and amiriesfandegheh, mahbobeh}, title = {Analysis of the Effects of anticyclone Movements on Flood Rainfall in Kerman Province}, abstract ={Due to the fact that the mechanism of anticyclone Movements is the desire to descend and suppress the air, so the effect of these movements and their location in the occurrence of flood falls is significant. For this purpose, in this paper, flood precipitation in the last two decades of Kerman province was studied and two of the most severe ones were selected. Due to the emphasis of this paper on the province of Kerman, the heavy rainfall was calculated for each station in the province using the Gumble Type 1 Distribution Statistical Index. Then, the thermodynamic properties of the precipitation were analyzed using radial data and Kerman station's sketch diagram. For analysis of these floods, daily rainfall data of the synoptic station 10 of the province and sea surface pressure maps and850,500,300 hectopascal levels were used. Then, the arrangement of the simulated pattern and its trend in the air maps, were studied during a selective period daily3. The results of the study indicate that the main cause of flood precipitation in the study area is to strengthen the eastern Mediterranean landfall in the middle troposphere, so when moved downward to the bottom of the polar system, it is transmitted to lower latitudes As a result, Western systems, with their movements on the southern warm waters, have a high moisture content and cause heavy rainfall in the region. Also noteworthy in the occurrence of precipitation is the presence of intense swinging movements on the southern waters, especially the Oman Sea, which causes more humidity to be injected into the interior areas of the country and provides the conditions necessary for the occurrence of such rainfall.}, Keywords = {Analysis synoptic, anticyclone, Flood Rainfall,kerman}, volume = {7}, Number = {3}, pages = {163-178}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.163}, url = {http://jsaeh.khu.ac.ir/article-1-3056-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3056-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} } @article{ author = {mohamadi, gholamreza and borna, reza and asadian, farideh}, title = {Temporal-spatial analysis of the polar vortex and its role in the occurrence of heavy and pervasive precipitation days in the Ghare-Su basin in Kermanshah province}, abstract ={In the present study, the spatial-temporal analysis of the Arctic vortex and its role in the occurrence of heavy precipitation days in the Ghare-Su basin have been investigated. For this purpose, firstly, with the 95% percentile method, heavy precipitation days of the basin were extracted. Then, considering the pervasiveness condition, 79 days of heavy and pervasive precipitation days determined during the1979–2015. In the following considering the contour representative of the polar vortex in the geopotential height of 500 hPa maps, elevation maps of 500 hPa, the vortex position identified on each of the heavy precipitation days based on its maximum extent on the synoptic zone. Synoptic analysis of the temporal and spatial of Arctic vortex during the selection of heavy and pervasive precipitation days shows that the 4 patterns can be identified within 79 days of heavy precipitation days. The position and concentration of the vortex patterns in each season have changed. So that the least penetration of the vortex is seen during the autumn and the most penetration in the winter. In all cases of the days of heavy and pervasive precipitation due to the locating the trough of the arctic vortex over the study region, which coincides with the settlement of the huge Rex and Omega blockings on  Europe. The highest correlation between the latitude of the vortex and the precipitation intensity is seen in the third pattern ( the Red Sea to the west of the Persian Gulf), which has the most vortex penetration in the region. In each of the vortex spatial locations, the location, length, and depth of the trough have also changed in each location. So that the best position and the most impact of vortex occurred in the third and fourth patterns where the troughs from vortex have the most depth and extension on adjacent water resources.}, Keywords = {Heavy precipitation, Arctic vortex, trough, Ghare-Su basin}, volume = {7}, Number = {3}, pages = {179-206}, publisher = {دانشگاه خوارزمی}, doi = {10.29252/jsaeh.7.3.179}, url = {http://jsaeh.khu.ac.ir/article-1-3123-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3123-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2020} }