مقالات رزومه مریم رئیسی

Awareness of the amount of the danger of ablation, the possibility of recognizing critical areas and arranging of managing plans and protecting plans achieved. the present study is produced aiming the use of fuzzy logic EPM and BLM in predicting the power of ablation and calculation of the whole illuviation that has been produced in a year in the Razan basin by help of evaluation and GIS then the correctness of the studies have been compared according to the results of BLM model the more of the studied are wan in low erosion in the rest of the paper by using EPM model the whole of illuviation that had been produced in Razan basin was calculated according to the results of EPM model the power of ablation in the studied area laid in the ablation of middle class also the results of game operator of fuzzy %98 of study area was show reel in five class of the less clanger to the most danger final the results of credit evaluating of models showed that the results of EPM model had more similarity with the prepare data of the study that show the correctness of EPM model in analyzing ablation of the studied area according to the ranking of the area and using EPM model 28/44- 32/16 and 39 /40 % Percent of the space of the area laid in the classes of the more less .less – middle.

The variable and complex nature of the sediment load of rivers has led that the estimation of sediment entering the reservoirs and the production of long term sediment, for determining the lifetime of the structures encounter with the problem. Application of sediment rating curves is one of the most common methods for estimating the suspended sediment load of rivers. Regardless of the accuracy of sediment measurement in sampling and measuring the concentration of samples and also measuring the corresponding discharge and with due attention to the spatial and temporal changes of suspended sediment in river management and reform operations, the providing of sediment rating curves is one of the most important resources of error for estimating sediment. Therefore, providing time backup curves for sediment rating curves is necessary for evaluation of accuracy and precision of sediment rating curves. So, in this research are presented time backup curves for sediment rating curves for investigating temporal variations of the sediment rating curve and are applied for considering slope changes of curve and annual changes of it too. Also, in this research compared the results of the sediment rating curve method with the results of some statistical methods for estimating the suspended sediment load in three hydrometric stations in Gamasiab watershed. The results of validations showed that transfer function model due to take into account time parameter with SSE 0.00003 ton/day, 3.24 ton/day, 5.92 ton/day, respectively for stations: Sang-Surakh, Vasaj and Marvil has high precision in the forecasting and moreover it presents confidently unbiased forecasts for the future.