زمین‌لغزش

Open Access Article

1 - Using Boolean and fuzzy logic and weighting factors for landslide and sediment hazard analysis in the watershed of Chelgerd- Chaharmahal and Bakhtiari Province
Ali Akbar Jamali Mohamad Ali Hakimi

Erosion such as landslide is phenomenon that causes wasting of many water and soil resources and destructing natural resources. The objective is landslide hazard mapping. Landslide can be the main source for sediment supply. The region was Chelgerd watershed in Shahreko More

Erosion such as landslide is phenomenon that causes wasting of many water and soil resources and destructing natural resources. The objective is landslide hazard mapping. Landslide can be the main source for sediment supply. The region was Chelgerd watershed in Shahrekord. For landslide hazard mapping, information layers including slope, elevation lithology, land use, distance to road, distance to stream, distance to fault and to springs as effective parameters of landslide have been recognized and digitized. After fuzzy standardizing of constraints and factors by methods fuzzy and Boolean weighing factors using the analytic hierarchy process (AHP) was incorporated. Final phase, landslide hazard zonation map was prepared. Results show that 49 percent of studied land are high and very high risk zones located. In this study, the most landslides occur in 500 meters from road and 400 meters from Stream with dip ranging from 15 to 50 percent at the elevation of 2600 meters moreover, agricultural lands and gardens within Khankat and Neyriz formation contain the most landslides. Since the possibility of landslide in the vicinity of roads and Stream, with medium dip is very high. It is necessary to be considered in managing of the area. Manuscript profile

Open Access Article

2 - Analysis and investigation of landslide hazard zoning using of hierarchical analysis and artificial neural network models in the southern foothills of the Alborz (Tajrish of Tehran)
Mohsen Ranjbar Asal Fadak

In this research, by review of previous works and field works, the Nine factors identifiedeffective factors in landslide hazard and used for analysis risk by GIS software. the occurredland slides in the study area were gathered and rectified by GPS. These Nine maps were More

In this research, by review of previous works and field works, the Nine factors identifiedeffective factors in landslide hazard and used for analysis risk by GIS software. the occurredland slides in the study area were gathered and rectified by GPS. These Nine maps werecrossed with the occurred landslide map and Landslides amounts and their areas werecomputed in each class. After determining the rate of each factor (element), land slidezonation was performed in GIS by artificial neural network and AHP Models. The efficiencyof output results of models was assessed by DR and QS indices. The results of DR indexshowed The map was produced using a neural network than maps produced using the analytichierarchy higher accuracy for the study area. Manuscript profile

Open Access Article

3 - Feasibility of landslide risk using Entropy model, case study: (Shirpnah mountainous region in South West Kermanshah Province)
Shirin Mohammadkhan Abdolkarim Veisi Keyvan Bagheri

The main objective of this study is landslide Susceptibility mapping in the Shirpanah, byusing of Entropy model and evaluation of this model in the zoning of landslides occurrenceof Shirpanah Mountain and the extent of the influence of each of these five factors on theo More

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

Open Access Article

4 - The performance of the maximum entropy algorithm and geographic information system in shallow landslide susceptibility assessment
Faezeh Rajabzadeh saeed ghiasi omid Rahmati

Shallow landslide is one of the natural hazards that damage life and property of people in mountainous watershed. Due to the fact that a lot of landslides events have been occurred in this watershed, assessment the risk of shallow landslides by using appropriate methods More

Shallow landslide is one of the natural hazards that damage life and property of people in mountainous watershed. Due to the fact that a lot of landslides events have been occurred in this watershed, assessment the risk of shallow landslides by using appropriate methods and determine of effective factors in reduce the hazards of it is so effective. The potential of using maximum entropy modeling for landslide susceptibility mapping is investigated. In the case study of west of Ardabil province, 74 landslide occurrences were identified, 52 landslides (70%) used for training and the 22 landslides (30%) applied for validation purpose. environmental factors including continuous (altitude, slope, aspect, plan curvature, drainage density, and rainfall) and categorical (lithology and landuse) data were used as inputs for modeling. From the optimal setting test based on cross-validation, a continuous data and its combination with categorical data showed the best predictive performance. The results of validation showed that the ROC and AUC for success and prediction rate of model was 96.1 and 97.6%, respectively. Factor contribution analysis indicated that altitude and rainfall layers were the most influential factors. From interpretations on a response curve, steeply sloping areas that consisted of excessively covered with old alluvial terrace soils were very susceptible to landslides. Predictive performance of maximum entropy modeling was slightly better than that other models like of a logistic regression which has been used widely to assess landslide susceptibility. Therefore, Maximum entropy modeling is shown to be an effective prediction model for landslide susceptibility mapping. Manuscript profile

Open Access Article

5 - Landslide Susceptibility Zoning Using New Synthetic Method in the GIS Environment
Majid Mohammady Hamzeh Noor

10.22034/jest.2019.28413.3721

Introduction: Landslides are one of the most natural hazards in hilly regions with great human and economic losses in the worldwide. Iran is always exposed to landslide susceptibility because of climatic and physiographic conditions. The purpose of this research is land More

Introduction: Landslides are one of the most natural hazards in hilly regions with great human and economic losses in the worldwide. Iran is always exposed to landslide susceptibility because of climatic and physiographic conditions. The purpose of this research is landslide susceptibility mapping using AHP-Density area model in GIS environment in the part of Haraz Watershed. Methods: Landslide inventory map was created using field surveys, and then conditioning factors were prepared. Using AHP model and Expert Choice software, weight of each factor was calculated. Weight of classes for each factor was calculated using the density area model in the GIS environment. Finally, weight of classes and weight of factors was multiplied. Weighted map was integrated in GIS environment and the final zoning map created. Results: Results indicated that lithology, distance from road, slope angle, distance from drainage network, land use, elevation, and slope aspect are the main landslide controlling factors in the area. Results showed that slope of 15-50 percent, north and west facing, altitude of 1,500–2,100 m, residential and mixing orchard and agriculture area types of land use, distance of 500 meter from road and 400 meter from drainage network, Shemshak formation and fluvial terraces are very susceptible to landslide. Discussion and conclusion: In general, study area is very susceptible to landslide occurrence and landslide susceptibility mapping is very essential in this region. The resultant map would be useful for general land use planning. Manuscript profile

Open Access Article

6 - Landslide susceptibility mapping using frequency ratio, logistic regression and AHP models in the part of Golestan province
Majid Mohammady Shantia Jamal Arman Mansoori

10.30495/jest.2018.18782.2751

Background and objective: Iran is always exposed to landslide hazard especially in the north because of climatic and topographic conditions. Identification of landslide prone areas and its hazards is one of the first works in natural resources management and development More

Background and objective: Iran is always exposed to landslide hazard especially in the north because of climatic and topographic conditions. Identification of landslide prone areas and its hazards is one of the first works in natural resources management and development programs. Policymakers pay high attention to landslide investigation in order to landslide susceptibility mapping and identifying susceptible areas and stable locations for development of new settlements in the future. The main goal of his research is landslide susceptibility mapping in the part of Golestan province.Material and Methodology: 78 landslides were identified from the field surveys in the part of Golestan province, and then landslide inventory map was created in year 2016. Effective factor maps such as slope degree, slope aspect, plan curvature, altitude, lithology, land use, distance from road, distance from fault, distance from drainage and slope-length (LS), were prepared in the GIS environment. Three methods such as analytical hierarchy process, frequency ratio and logistic ratio were applied to landslide susceptibility mapping. Also ROC curve was used to accuracy assessment of susceptibility mapsFindings: prioritization of effective factors using AHP showed that distance from road, slope, distance from drainage and distance from residential area have the most effect on landslide occurrence. Landslide susceptibility map obtained from three models was compared using Relative Operating Characteristic (ROC) and Area under Curve (AUC). The result showed that frequency ratio model with the AUC equal to 0.8 has the most accuracy to landslide susceptibility mapping.Discussion and Conclusion: In general, the results showed that the study area has a high potential for landslides occurrence. Identifying susceptible areas help to prevent changes in the natural state of these areas as much as possible. Manuscript profile

Open Access Article

7 - Landslide susceptibility mapping using fuzzy-analytic network process
Elahe Akbari Ali Darvishi Boloorani Najmeh Neysani Samani

In recent decades, with the expansion of human activities on the natural environment, a variety of hazards, including landslides, have had serious human and financial damage. As a result, landslide susceptibility assessment and identifying the critical areas for watersh More

In recent decades, with the expansion of human activities on the natural environment, a variety of hazards, including landslides, have had serious human and financial damage. As a result, landslide susceptibility assessment and identifying the critical areas for watershed protection seems to be necessary. In this study, landslide susceptibility using combined fuzzy and Analytic Network Process (FANP) methods has been modelled on the Farub Roman basin. To achieve this goal, four clusters; topography, biological, hydro-climate and geological and criteria such as elevation, slope, aspect, curvature, distance from roads, land use, normalized difference vegetation index (NDVI), distance from rivers, drainage density, rainfall, soil moisture index, distance from faults and lithology have been considered. The results showed that the Fuzzy-analytic network process model is appropriate for landslide susceptibility modelling for as much as in model validation through the Relative Operating Characteristic (ROC) curves, the AUC, 0.83 has achieved with the standard error; 0.07, of the P-value equal to zero. For assessing the landslide susceptibility in the Farub Roman basin based on the results of the ROC curve, fuzzy ANP model evaluated very well. In addition, the results showed that, 66% of the known landslides have been found in areas with high and very high sensitivity. Due to the estimation of the high and very high sensitivity of landslides; 51% of the total area, the implementation of studying watershed protection seems to be necessary. Manuscript profile

Open Access Article

8 - Environmental hazards zonation landslide, earthquake, flood and erosion using AHP Fuzzy method (Case study: Vark Basin)
Siyamak Baharvand salman soori Jafar Rahnama Rad

Natural hazards cause every year around the world, including Iran harmful damages. A Vark basin in the Lorestan province due to a variety of geological properties such as lithology, tectonic and climatic conditions, is taken as areas with potential environmental risks i More

Natural hazards cause every year around the world, including Iran harmful damages. A Vark basin in the Lorestan province due to a variety of geological properties such as lithology, tectonic and climatic conditions, is taken as areas with potential environmental risks into account. To reduce the damage caused by these risks, earliest and foremost task is to determine areas with high potential risk. In order to evaluate environmental hazards in this basin,  each informational layer has been identified and registered using the satellite images ETM+ (2016 year), geological maps, topographic maps and field visits (2017 year). Then, using the informational layers of the slope, aspect, elevation, land use, geology, the epicenter of the earthquake, fault, drainage and rainfall in ArcMap software and based on an AHP-Fuzzy method of the map, the risk of landslide, floods, erosion and earthquake have been prepared. In this study, in order to map the environmental risks using expert judgment, the Quartet Hazards of the region were weighted and then overlapped. Based on the results achieved, 9.03, 20.84, 27.68, 27.41 and 15.03 percent of the area ranked at-risk classes very low, low, medium, high and very high respectively. The results of the environmental risk map of the region show that landslides and flooding are a larger role in the creation of high-risk zones. Manuscript profile

Open Access Article

9 - Landslide hazard zonation based on fuzzy-analytical hierarchy process (FAHP) and Multi-criteria decision analysis (Case study: Marbar river basin)
Mohammad Reza Sajjadi Ahmad Ahmadi Behnaz Bigdeli

10.30495/girs.2020.675969

Background and ObjectiveLandslide as a terrifying disaster can cause human and economic losses and the destruction of cultural and natural heritage. While the need for a method to directly predict the location of landslides has vital importance but currently, the predic More

Background and ObjectiveLandslide as a terrifying disaster can cause human and economic losses and the destruction of cultural and natural heritage. While the need for a method to directly predict the location of landslides has vital importance but currently, the prediction is not possible. The zoning of landslide hazard can be an efficient indirect approach. This paper proposes a method for landslide hazard zoning based on the decision fusion and Analytical Hierarchy Process (AHP) in the Semirom of Isfahan province. Materials and Methods In the first step of the proposed methodology of this research, GIS information layers of the study area are collected. Then by using of fuzzy and non-fuzzy hierarchical analysis method and based on expert knowledge, the layers and sub-layers were weighted. In addition, two different overlay methods including weighted overlay and fuzzy overlay are applied for zoning of the AHP and fuzzy AHP results. Combination of both AHP and fuzzy AHP methods with two overlay methods create four zoning maps for the area. The Fuzzy Overlay tool makes it possible for the analysis of the possibility of a phenomenon belonging to multiple sets in a multi-criteria overlay analysis. Not only the fuzzy overlay determines the influential members in the occurrence of a phenomenon but also analyzes the relationships between the memberships of several sets. Weight overlapping is one of the most effective methods used to overlay analysis to address multiple-criteria questions such as location selection and appropriate models. This method will adopt the values in the input raster to a common evaluation criterion for suitability or priority, risk, or appropriate scale. The cell values of each row of inputs increase with the increase of importance of the raster. It also combines the resultant cells to produce the output raster. After obtaining four zoning maps, a decision fusion strategy is applied for the fusion of these maps. Decision fusion systems or in general data fusion or combination strategies combines various decisions made from different methods or data to ultimately make decisions that are more precise and reliable than the result obtained from a single decision. One of the most important and effective methods for integrating decisions is based on the concept of voting. In this method, one vote is assigned to each decision. The simplest form of this method is known as the majority voting. In this method, if all decision-making methods have the same weight and accuracy, the decision of all strategies for an input sample is considered to be the same weight, and the decision with the highest score will be introduced as the winning class for the input sample. Results and Discussion The study area is located approximately 60 kilometers from Semirom city. Also, this area is located in Marbur River watershed. Generally, different factors can be effective in slope instability and landslide, which in this research, slope, aspect, distance to fault, distance to roads, distance to drainages, distance to residential areas, lithology and rainfall were selected for assessing the landslide phenomenon. These effective layers are obtained from information data such as Digital Elevation Model (DEM), fault lines, rivers location, streams location, residential areas, roads location, lithology and synoptic stations. The digital elevation model (DEM) of the region is prepared with 30 meters pixel size from the USGS website. By using DEM in GIS, slope and aspect maps in five classes are created. Faults map of the studied area is obtained from 1:100000 geology map of the Geology organization center of the country. Also, by using Euclidean distance in GIS, distance to faults layer is created in five classes. For preparation of rainfall map, the rainfall content of the studied area has been used from the average rainfall data of the Iran Meteorological Organization in the last 10 years of 19 meteoroidal stations. Based on the rainfall information, the area is divided into five classes. Roads map of the area is obtained from 1:25000 map of National Cartographic Center.  The distance to road layer is created from roads map of the area and divided into five classes. For drainage and residential area maps, a 1:25000 map from NCC is applied. Also, distance to residential area layer is created by this map in five classes. For assessment of the lithology in this area, a 1:100000 geology map is applied. Conclusion Results showed that the zoning methods provide satisfactory results, but eventually the results were improved with the decision fusion strategy. For validation our finding the results were compared with historical landslides. Based on the results, it was concluded that zoning by four different combinations: hierarchical analysis and overweight analysis, hierarchical analysis and fuzzy overlay, fuzzy hierarchical analysis and weighted overlay, and fuzzy hierarchical analysis and fuzzy overlaying, have a precision of 80%, 86%, 75% and 88% respectively. After integrating the results of these four methods, the accuracy of the zoning increased to 90%. Manuscript profile

Open Access Article

10 - Landslide hazard zoning using frequency ratio, entropy methods and TOPSIS decision-making methods (Case study: Fahliyan basin, Fars)
SEYED VAHID RAZAVI TERMEH Kourosh Shirani

Distinguishing the susceptible areas to landslide using appropriate experimental models of landslide susceptibility mapping is one of the primitive and basic works to reduce probable damages and reduce risk in country's watersheds. In this research, thirteen factors, in More

Distinguishing the susceptible areas to landslide using appropriate experimental models of landslide susceptibility mapping is one of the primitive and basic works to reduce probable damages and reduce risk in country's watersheds. In this research, thirteen factors, including altitude, slope, aspect, rainfall, plan curvature, profile curvature, Topographic Wetness Index (TWI), Stream power index (SPI), distance from the river, distance from road, distance from the fault, lithology, and land use are identified as effective parameters in landslide occurrence in the studied area. The landslide landslide distribution map was prepared using Landsat 2017 satellite imagery and Field studies (2017). Then, the landslide susceptibility mapping was performed with three methods, including frequency ratio, entropy and TOPSIS. The results were evaluated using receiver operating characteristic (ROC) curve. The area under the curve (AUC) of applied models shows the accuracy of 84, 87.7, and 91 percent for entropy frequency ratio and TOPSIS models, respectively. The results are indicative statistical models have a better accuracy in comparison with MCDM models and expert approaches. The results of the present study could be useful for better managing the flood affected areas and to reduce its damage. Manuscript profile

Open Access Article

11 - مدل‌سازی عرصه‌های حسّاس به وقوع زمین لغزش و شناسایی عوامل مؤثر بر وقوع آن با استفاده از مدل آنتروپی شانون (مطالعه موردی: حوضه آبخیز بار نیشابور)
مریم خسرویان علیرضا انتظاری مختار کرمی مجیذ ابراهیمی

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12 - مدل‌سازی عرصه‌های حسّاس به وقوع زمین لغزش و شناسایی عوامل مؤثر بر وقوع آن با استفاده از مدل آنتروپی شانون (مطالعه موردی: حوضه آبخیز بار نیشابور)
مریم خسرویان علیرضا انتظاری مختار کرمی مجید ابراهیمی

1015

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13 - تهیه‌ی نقشه‌ی حساسیت به وقوع زمین لغزش با استفاده از مدل شبکه عصبی پرسپترون چند لایه از نوع پیش‌خور پس انتشار (BP)
سید رضا حسین زاده مسعود مینایی حمید نزاد سلیمانی مهوش نداف سنگانی

1710-1037

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14 - پهنه‌بندی خطر زمین لغزش با استفاده از سیستم استنتاج فازی در حوزه‌ی رودخانه‌ی ایذه
مجتبی محمدی محمد ابراهیم عفیفی عبدالرسول قنبری

1423

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Open Access Article

15 - Landslide Hazard Zoning central part of the Semirom city
Mojtaba Rahimi Shahid Nima Rahimi

Natural hazards such as Landslide is as the nature disasters that have many financial and human losses every year. Today advances in science and technology, provided appropriate fields for the study and reduce these natural hazards. In this respect, the geographic infor More

Natural hazards such as Landslide is as the nature disasters that have many financial and human losses every year. Today advances in science and technology, provided appropriate fields for the study and reduce these natural hazards. In this respect, the geographic information along with decision support tool used to assess the risk of landslides. The aim of this study was to investigate the effects of different factors in the creation and landslide hazard zonation of landslides in Central part of the Semirom city. For this purpose affecting factors were binary compared using analytical method by indicating the weight of each factor as indicator for their effects in occurrence of landslide. Accordingly, the landslide regionalization hazard map was prepared to the use of weighed information layer and weighted coefficient of each factor. Results of this study show that the analytical hierarchy method is precise method for evaluation of landslide potential due to the use of binary comparison affecting factors and considering numerous factors for landslide evaluation at the same time in comparison to the other prevalent method. The results indicates that the percentage of high and very high hazard class is 40.98 percent in AHP method. As well as material and slope were identified as the most important factors in landslide occurrence in the region. Manuscript profile

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16 - پهنه‌بندی حساسیت زمین‌لغزش با سامانه اطلاعات جغرافیایی ومقایسه‌ی کارایی روش‌های رگرسیون لجستیک و نسبت فراوانی در(مطالعه موردی: حوزه‌ی آبخیز چشمیدر، کردستان)
شقایق میرکی قربان وهاب زاده عطااله شیرزادی

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17 - Environmental Effects of the World Hyper-Landslide on Ancient Settlements
Siamak Sharafi Masoud Sadeghi Rad

The occurrence of the world's largest landslides on the Kabir-Kuh anticline and on the path of Sayamareh and Kashkan river drainage network has created many wide environmental changes. The most important changes caused by the landslide include blocking the path of Sayma More

The occurrence of the world's largest landslides on the Kabir-Kuh anticline and on the path of Sayamareh and Kashkan river drainage network has created many wide environmental changes. The most important changes caused by the landslide include blocking the path of Saymareh and Kashkan rivers and creating two lakes which are world’s largest and most stable barrier lakes in the world. Geoarchaeological studies of this region utilizing physical and conceptual tools, laboratory methods, software tools as well as using statistical cluster analysis have led to the landslide fourstage recognition on the Kabir-Kuh anticline and the subsequent formation of four lakes within the Saymareh valley and a single-stage lake within the Kashkan valley; in addition, the results of these studies include detecting settlement patterns of archaeological sites in each periods from Epipaleolithic to Islamic in connection with the formation of the lake and the recognition of the ongoing changes in settlement patterns associated with fluctuations in the lake level. Based on the results of lake sediments dating, the occurrence of the primary Kabirkuh landslide and the formation of Seymare and Kashkan barrier lakes happened about 85000 years ago. Therefore, from the Middle Paleolithic to the Islamic era the human settlement patterns have been environmental changes caused by Kabirkuh landslide and also caused by the formation of barrier lakes. Manuscript profile

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18 - تهیه‌ی نقشه‌ی حساسیت زمین‌لغزش با استفاده از ترکیب روش نسبت فراوانی و تحلیل سلسله مراتبی(AHP)
سید وحید رضوی ترمه کریم سلیمانی فاطمه علی دادگان فرد

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19 - Landslide hazard zonation using the Frequency ratio model and fuzzy logic (Case Study: Central Section of Jam Township)
amir safari monireh Rayati Shavvazi maryam Jan Ahmadi laila Shirzad Malayeri

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20 - Spatial analysis of landslide risk with emphasis on geomorphological factors using stochastic forest model (Case study: Larestan city in Fars province)
Mohammad Ibrahim Afifi

Due to the ability of data mining techniques, their application in the field of earth sciences has been widely developed. The purpose of this study is to zoning landslide sensitivity using stochastic forest algorithm in Larestan city, Fars province. Random forests are a More

Due to the ability of data mining techniques, their application in the field of earth sciences has been widely developed. The purpose of this study is to zoning landslide sensitivity using stochastic forest algorithm in Larestan city, Fars province. Random forests are a modern type of tree-base that includes a host of classification and regression trees. The random forest algorithm is based on a bunch of decision trees and is currently one of the best learning algorithms. For the present study, information layers of slope degree, slope direction, altitude, slope shape, distance from fault, distance from waterway, distance from road, rainfall, lithology and land use as factors affecting landslide occurrence were identified and its maps in software. ArcGIS10 / 2 digit and were prepared. Then, using a random forest algorithm, the relationship between the effective factors and the location of landslides and the weight of each of them were calculated in R statistical software and finally transferred to the GIS environment to prepare a landslide susceptibility map. The results of evaluating the accuracy of the zoning method using the relative yield detection curve and 30% of the slip points not used in the modeling process, indicate the excellent accuracy of the random forest model with the area below the curve being 98.8%. The executive recommendation is to reduce the risk of stabilization of unstable areas and to avoid these areas; And any planning in the future development of the physical elements of urban infrastructure should be done with regard to the possibility of landslides. Manuscript profile

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21 - بررسی مقایسه‌ای مدل‌های ماشین ‌پشتیبان‌بردار و لجستیک درختی برای ارزیابی حساسیت زمین‌لغزش - مطالعه موردی: شهرستان کامیاران، استان کردستان
بهاره قاسمیان موسی عابدینی شهرام روستایی عطاالله شیرزادی

اولین گام مهم و اساسی در ارزیابی خطر زمینلغزش تهیه نقشههای حساسیت زمینلغزش میباشد، این نقشهها به عنوان یک محصول نهایی است که میتواند برایبرنامهریزی کاربری اراضی مفید واقع شود. هدف اصلی این پژوهش مقایسه کارایی مدلهای دادهکاوی More

اولین گام مهم و اساسی در ارزیابی خطر زمینلغزش تهیه نقشههای حساسیت زمینلغزش میباشد، این نقشهها به عنوان یک محصول نهایی است که میتواند برایبرنامهریزی کاربری اراضی مفید واقع شود. هدف اصلی این پژوهش مقایسه کارایی مدلهای دادهکاوی ماشین پشتیبانبردار و لجستیک درختی به منظور پیشبینی مکانی زمین لغزشهای سطحی اطراف شهر کامیاران واقع در استان کردستان میباشد. در ابتدا، نقشه پراکنش زمینلغزش با 60 نقطه لغزشی در منطقه مورد مطالعه با استفاده از منابع مختلف ساخته شد. سپس، آنها به صورت تصادفی به یک نسبت 70 به 30 به ترتیب برای آموزش مدل زمینلغزش و اعتبارسنجی تقسیم شدند. از میان بیست و یک عامل مؤثر بر وقوع زمینلغزشهای سطحی منطقه مورد مطالعه، حدود هشت متغیر (فاصله از آبراهه، تراکم آبراهه، شاخص قدرت حمل جریان، بارندگی، عمق دره، شاخص نمناکی توپوگرافی، شدت تابش خورشیدی و انحنای طولی شیب) بر اساس شاخص IGR مؤثر شناخته شدند. عملکرد مدلها با استفاده از چندین پارامتر آماری از جمله حساسیت، شفافیت، صحت، مجذور مربعات خطا، منحنی نرخموفقیت و سطح زیر این منحنی مورد ارزیابی قرار گرفت. اعتبارسنجی نتایج مدلها با استفاده از منحنی ROC نشان داد که مدل SVM با سطح زیر منحنی 97/0از قابلیت پیشبینی بالاتری نسبت به مدل LMT با سطح زیر منحنی 737/0 برخوردار است. نتایج به دستآمده از این پژوهش میتواند برای برنامهریزی کاربری ارضی، کاهش خطرات زمینلغزش و مدیریت اصولی مناطق مستعد لغزشی مفید واقع گردد. Manuscript profile

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22 - پهنه‌بندی خطر زمین‌لغزش با استفاده از روش ترکیب خطی وزن‌دار -مطالعه موردی: حوضه ده‌سفید، استان لرستان
سیامک بهاروند حمزه سارویی سلمان سوری

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23 - Evaluation of the efficiency of Haeri-Audio experimental model and bivariate statistical in landslide risk zoning (Case study: Qazvin province)
Faramarz Sarfaraz Jamal Mosafaei Rohangiz Akhtari Amin Salehpour Jam

Landslides are one of the most destructive types of erosion on slopes, which causes a lot of financial and human losses. The purpose of this study is to evaluate the efficiency of landslide potential zoning models in Qazvin province and to provide management strategies More

Landslides are one of the most destructive types of erosion on slopes, which causes a lot of financial and human losses. The purpose of this study is to evaluate the efficiency of landslide potential zoning models in Qazvin province and to provide management strategies to reduce landslide risk. The proposed relationships of this model were used for the Haeri-Samiei experimental model. For the statistical model, after preparing the layers of effective factors (land use, slope, slope direction, height, etc.) and cutting them with a landslide distribution map, the area and percentage of landslide in each floor were determined from the effective factors map. Then, using the frequency ratio, the importance of each class of effective factors was calculated and a map was prepared based on the importance of effective factors in the GIS environment. Finally, to prepare a landslide hazard map, the maps were grouped together based on the rate of factors and classified according to the method of intervals equal to seven floors. Density ratio and total utility indices were used to evaluate the efficiency of the models and select the superior model. The results showed that the bivariate statistical model with Qs equal to 0.938 has a higher accuracy than the Haeri-Samiei model with Qs equal to 0.622. To reduce damage and manage landslide risk, three non-action management policies for low risk classes, prevention for medium risk classes and treatment for high risk classes were considered and some necessary measures were provided for each management policy. Manuscript profile

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24 - Safaroud Basin Aquifer Landslides Geomorphology-Ramsar Zone
mohamadreza servati seyed yousef hashemi

Safarud River is placed as farasits source that is javaherdeh high altitude still its maximum limit which is Khazar Sea and its direction is north east to south west. The long distance between its source and cancause different changes and a lot of transformation along s More

Safarud River is placed as farasits source that is javaherdeh high altitude still its maximum limit which is Khazar Sea and its direction is north east to south west. The long distance between its source and cancause different changes and a lot of transformation along side. One of the obvious agents and important Geomorphological phenomena in the area of the Safaroud river is land sliding that its occurrence causes the obstruction of roads. Destruction of agriculture gardens, plant coverage, erosion of lands, damage of residential areas and killing the human beings, too.Studying the Geomorphology of landslides and the factors contributing to their occurrence as well as determining of danger points and to give methods of controlling them are deemed to be important since the considered are a is one of the most important regions for the water supply and also the biggest of tourist center and that it can be used for planning purposes.Arc Gis software has been used for parting the land of dangers of landslide as well as for preparing the maps.It is known about 33 landslide in this basin which some factors like Geology, plant covering, soil, climate, Hydrology, Geomorphology and human activities in the landslide affection it. Manuscript profile

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