جستجوی مقالات مرتبط با کلیدواژه « ارتفاع رواناب » در نشریات گروه « کشاورزی »

Occurrence of numerous floods in different regions of the country has always caused a lot of damages in various fields. Therefore, it seems necessary to prepare and compile a comprehensive plan in the field of flood control. The study area is influenced by the Mediterranean climate and within the radius of the Caspian and Caucasian climates. Due to the high altitude differences, it has a variety of climates and high variability in rainfall, and known as one of the areas exposed to destructive floods. The purpose of this study is to identify flood prone areas based on multi-criteria decision making and neural network model in Khodaafarin Watershed. For this purpose, according to the factors affecting the occurrence of floods, the information layers of the region including Curve Number (CN), Gravilius coefficient, runoff height, precipitation, distance from waterway, soil retention, waterways, slope, drainage density, geology and vegetation, according to the study of maps, reports, satellite images and field surveys. In order to weight the criteria in the present study, network analysis method (ANP) and Super Decisions software were used. The factor of runoff height with the amount of 0.241, slope with the amount of 0.207 and precipitation with the weight of 0.169 were the most important in relation to flood occurrence. Finally, by combining these layers according to their weight in the GIS environment, a flood risk zoning map was extracted in five classes. The results also showed that, 43 square kilometers (3% of the area) of the watershed is in the very high flood risk class and 288 square kilometers (18% of the area) in the high flood risk calss. More than 21% of the area is among the areas with high and very high flood potential. Therefore, it seems that the need for surface water management in the region in order to prevent floods and the proper use of water in the region is necessary.

Unbalanced exploitation of natural resources in Iran has led to the loss of soil and water resources. Optimal land management leads to sustainable exploitation of water and soil resources and hence reduces the depletion of these resources. The aim of this research is to develop a list of vegetation-based management activities and to predict the impacts of the activities on surface runoff characteristics and soil erosion in the Bonekooh Watershed (about 3300km2) using a modeling exercise. The predictions can assist watershed planners and managers to make appropriate decisions solving the problems in the watershed. In this research, considering the type and extent of the environmental problems in the study area and determining their relative importance, 11 management activities were chosen to solve the watershed problems. The L-THIA model and the Global Soil Loss Equation(RUSLE) model within the framework of the GIS were used to estimate the surface runoff characteristics (runoff, phosphorus and nitrate) and the amount of soil erosion, respectively. The RUSLE factors include R, K, LS, C, and P, which are calculated from rainfall data, regional soil maps, digital elevation models, and remote sensing techniques, respectively. The values of P and C factors in the RUSLE were estimated according to the standard tables provided in the relevant literature and based on expert judgment. Statistical criteria of RMSE and MAE were used to evaluate the efficiency of the models for the current status of the watershed. Subsequent to model evaluation, the models were used to predict the possible impacts of various management activities on surface runoff characteristics and soil erosion. The average values of R, K, LS and C factors for the current status were 1.85 (MJ mm ha-1h-1y-1), 0.29 (t ha h ha-1 MJ-1 mm-1), 10.82, and 0.86, respectively. Soil erosion map shows that the amount of soil erosion changes from a insignificant value to 33.49 (tons per hectare per year) in the region. Also, 11.12 percent of the total area is located in the high and very high erosion classes. Annual runoff varies from 1.12 to 9.27 cm with an average of 6.74 cm. The analysis indicates that rangeland exclusion and pile seeding management activities in the watershed will have the most impact considering all indices (surface runoff, soil erosion, Phosphorus, Nitrate). But per unit of management activities, forage cultivation, afforestation, and orchard development have the most impact on runoff depth index, respectively. Additionally, considering both soil erosion and phosphorus indices, orchard development, afforestation, and forage cultivation activities will have the best performance, respectively. In addition, in terms of nitrate index, orchard development, afforestation and riparian activities will present maximum differences with the index value for the current status of the watershed. Implementing of all management activities will result a decrease of runoff depth by about 13.20% and a reduction of soil erosion by 8.30% in the watershed. Given the topographic and morphologic conditions of the Bonekooh watershed, and also natural and human-made erosion factors for the watershed, critical areas should be considered in order to prevent the loss of soil and water resources. Because of existing water and soil resources problems in the Bonekooh Watershed, it is required to implement appropriate management activities to fix the problem. Due to the vast extent of areas being suitable for implementing rangeland exclusion and pile seeding activities in the watershed, these activities have the greatest impact on improvement of surface runoff characteristics and soil erosion. To make an improved decision in choosing the best management activities, it is suggested to consider other impacts arising from implementing the activities at the watershed scale from economic, social and ecological point of views.

Estimating the runoff height potential is important for managing and predicting the flooding of an area. In this regard, the US Soil Conservation Agency (SCS) has provided a method that is very suitable for areas lacking hydrological data. Conventional runoff measurement methods are very costly, time consuming and difficult. The purpose of this study was to calculate the flooding potential and draw a map of the Nazlouchai Watershed curve number by the SCS method. Land use map of the area was compared with the index table and integrated with the soil hydrologic group data, and the runoff curve number, an important factor in the SCS method, was obtained. In the next step, the average rainfall curve number, and runoff height were calculated, and the results were zoned according to the curve number and runoff height maps. Using the Geographic Information System, the average weight of the area curve number was estimated as 96.77. Results showed that the highest amount of runoff curve number under the average humidity conditions in the study area was 100, and the lowest value was 56.00. The high mean value of the area curve number indicates the low permeability of the area, which indicates the strong likelihood of flood occurrence.