جستجوی مقالات مرتبط با کلیدواژه « حرکت توده ای » در نشریات گروه « کشاورزی »

Identification of the areas prone to landslides and the risks arising from them is one of the primary measures in natural resource management and development and construction planning. Considering the loss of lives, financial losses and environmental effects, landslides have been one of the most important natural disasters in the world and especially in our country, which every year plays an increasing role in the destruction of communication roads, pastures, gardens, residential areas, cause erosion and produces a high volume of sediment in the watersheds of the country. These issues have led to the use of data mining models in geological and geotechnical studies. In recent years, the use of geographic information systems and remote sensing along with machine learning methods has created a new step in landslide occurrence zoning and landslide susceptibility maps with appropriate accuracy. The watershed of Karaj Dam is one of the areas prone to landslides due to mountainous and rainy conditions and many construction due to suitable weather conditions and non-standard road construction. The purpose of this research is to prioritize the factors affecting landslides using the maximum entropy model (MaxEnt model) and to determine areas with landslide susceptibility potential.

The Karaj Dam watershed is located in the east of Alborz Province. The highest and lowest average annual rainfall is calculated as 1099 and 608 mm, respectively. In this research, in order to determine the areas with landslide susceptibility, among 11 factors affecting the landslide potential of the area, including height, slope, slope direction, distance from waterway, lithology, rainfall, land use, topographic moisture index, surface curvature, distance from the waterway and the distance from the road, the factors were selected and tested for collinearity with the Variance Inflation Factor (VIF) test in SPSS software. From the total of 477 landslides, 70% were randomly classified as test data (334 points) and 30% as validation data (143 points). In this research, the maximum entropy model is used. To determine the most important parameters, the jackknife diagram and the Relative Performance Detection Curve (ROC) were used to determine the predictive power of the model. Landslide points of the studied area were prepared from the database of the General Directorate of Natural Resources and Watershed Management of Alborz Province and field visits.

The results showed that there is no co-linearity between the used factors. According to the Jackknife diagram, rainfall layers, distance from the road, lithology and land use were respectively the most important factors influencing the occurrence of landslides in the study area. The relative performance detection curve showed the accuracy of 90% (excellent) of the maximum entropy method in the training phase and 83% (very good) in the validation phase. According to the final landslide susceptibility map, more than 35% of the study area has high and very high landslide susceptibility potential.

According to the obtained results, it can be said that the MaxEnt model has a high ability to determine landslide-susceptible areas, and due to the high speed and accuracy of the model, it is suggested that it be used in similar research, especially in developing countries. The reason for the lack of facilities and financial resources, as well as the time-consuming nature of identifying landslide sensitive areas, should be used. In addition to natural factors, some human factors such as road construction play an important role in the occurrence of landslides, and in order to reduce the relative risks, it is necessary to avoid changing the ecosystem as a driver of natural disasters. In general, it can be stated that the watershed of Karaj Dam has a high potential for landslide susceptibility, that most of the susceptible areas are located near roads, and because there are many human interventions in these areas. Landslide sensitivity has increased. It is suggested to combine geographic information systems with maximum entropy method in order to determine areas with landslide susceptibility, especially in developing countries like Iran, where access to landslide information and data is limited by time and cost. The results of this research can be used in decision-making and preparation of provincial land as well as urban planning and will play a significant role in preventing and reducing damage caused by landslides.

Groundwater resources,as one of the most important resources of water supply, have been faced with the qualitative decline and increasing the concentration of pollutants in addition to a quantitive problems in recent years. According to the importance of the role of water supply quality in exploitation, recognizing the aquifer and factors affecting it is very important. This study was conducted to investigate the movement of pollutants with the view of assessing aquifer vulnerability in one of the branches of Zanjan River. Accordingly, two types of intrinsic and special vulnerability in the region were investigated by two methods of drastic and HPI. The results of vulnerability index show that the soil of region is effective in decreasing the concentration of heavy metals under study (lead, chromium, nickel, cobalt, zinc) and the concentration reduces in the direction of groundwater flow. The results of vulnerability index showed that the Drastic index is more than 80% in the medium to low and low ranking and the HPI index of the basin with an average of 30.3 is in the low risk, however, this basin has the potential to develop pollution. In order to determine the direction of pollution and the role of alluvial in the area MODPATH numerical model was used to simulate under the influence of the advection process in order to determine the direction of pollutants movement and the role of alluvium of the region. The numerical simulation of the region was carried out for three years after modeling and calibrating the MODFLOW model. Based on the results, the wells located along the groundwater and surface water flow path in the center of the basin have longer length compared to the wells that are around and far from the center of the basin. Based on the results, different patterns can be used such as creating barriers to modify and reduce the amount of pollutants transfer in this basin and other basins leading to Zanjan River.

One of the most important types of water erosion, is massive erosion. Soils with fine particles (especially silt particles) have little stability against erosion, because they have more water holding capacity and thus increase the saturation moisture and the likelihood of this type of erosion. So In this study, to investigate the relationship between particle size of silt, with behavior and rheological properties of soil in the rabor region of Kerman province, three profiles were studied respectively, at the top of the slope, middle slope and down hill slope. After identifying the soil layers, soil sampling was conducted at various depths. Then some physical and chemical characteristics of the soil, Includes equivalent calcium carbonate, sand, clay, silt, silt components, saturated moisture content and psychological limits was measured in triplicates. The rheological tests such as yield stress and viscosity were also performed to determine the flow behavior of the soil. The results showed that in the study area are high erodibility index position of the bottom and top of hill slope (k=0/54 down the slope and k=0/52 above the slope. The soil profile at the top of hill slope had the highest amount of coarse (28.33%) and saturation moisture (57.29%) and the lowest amount of clay (16.45%). Subsequently it had shear stress much lower than the position of the tilt tolerance and thus faster flow decreases. The shear stress was much lower than the position of the tilt tolerance. The best model to predict the flow behavior of soil was herschel-bulkley model, which has a higher coefficient of determination (R2>0.90) and lower SD than the Bingham and Kasson models. The results also showed that all samples have thixotropic behavior. The fine silt and calcium carbonate equivalent affected behavior and thixotropic properties. The fine silt mostly influnced the shear stress while the calcium carbonate equivalent affected the recovery process structure, viscosity and yield stress and yield stress was a good criterion for predicting soil behavior against sulification erosion and identifying the critical points of this erosion.