Showing 5 results for Fakheri
R. Mirabbasi Najafabadi, Y. Dinpazhoh , A. Fakheri-Fard,
Volume 15, Issue 58 (winter 2012)
Abstract
Accurate estimation of runoff for a watershed is a very important issue in water resources management. In this study, the monthly runoff was estimated using the rainfall information and conditional probability distribution model based on the principle of maximum entropy. The information of monthly rainfall and runoff data of Kasilian River basin from 1960 to 2006 were used for the development of model. The model parameters were estimated using the prior information of the watershed such as mean of rainfall, runoff and their covariance. Using the developed model, monthly runoff was estimated for different values of runoff coefficient, , return period, , at different probability levels of rainfall for the basin under study. Results showed that the developed model estimates runoff for all return periods satisfactorily if the runoff coefficient value is taken 0.6. Also, it is observed that at a particular probability level and runoff coefficient, the estimated runoff decreases as return period increases. However, the rate of change of runoff decreases slightly as return period increases.
A. Ghasemi, A. Ghanbari, B. A. Fakheri, H. Fanaie,
Volume 21, Issue 3 (Fall 2017)
Abstract
In line with sustainable agriculture development, an experiment was conducted including tillage as the main factor in two conventional systems (plowing and mixing fertilizer with soil) and no tillage (leaving residuals of green manure and direct corn sowing). The fertilizer resources were T0: control, T1: barley green manure without chemical and manure fertilizers, T2: barley green manure with full use of the recommended chemical fertilizer (NPK) to barley containing urea, super triple phosphate and potassium sulphate respectively as 165, 90, and 75 kg/ ha, T3: green manure with two -third residual of chemical fertilizer for barley and a third of the residual to corn, T4: green manure with one- third chemical fertilizer for barley and two-third for corn, T5: barley green manure mixed with 50% manure and 50% chemical fertilizer, and T6: green manure with 40 tons of manure used as a sub-plot in the split plot and in completely random blocks with three replications for two crop years ( 2013-2014) at the Agricultural Research Station, Sistan. The results showed that in comparison with no-tillage, the conventional tillage resulted in a significant increase in grain yield, the contents of nitrogen, phosphorus, potassium and soil organic carbon, bulk density and moisture content of the soil decreased in the conventional tillage. Sources of fertilizer (organic and chemical fertilizers) significantly increased soil organic carbon, nitrogen, phosphorus, potassium, and soil moisture content. The pH and soil bulk density factors decreased after using manure sources. Interaction tillage in the fertilizer sources showed that in the conventional tillage and Treatment T5 (mixture of manure, green and chemical fertilizers) the highest yield of corn was obtained with an average of 8471 kg/ha. The results of this experiment reported that using conventional tillage system with mixture of 50% manure, green and chemical fertilizers can increase corn grain yield, provide the dynamics of nitrogen, phosphorus, potassium, organic carbon, and improve soil bulk density and soil pH.
H. Ahmadzadeh, A. Fakheri Fard, M.a Ghorbani, M. Tajrishy,
Volume 25, Issue 3 (Fall 2021)
Abstract
In drought risk management, the regional analysis of drought is significant. In this paper, this important issue is investigated by presenting the new hydrological regional drought index (RDI). For this purpose, the Ajichai basin was selected as the study area. First, the time series of the streamflow drought index (SDI) was calculated for each of the hydrometric stations in the basin f regional analysis of hydrological drought. Then, to determine the homogeneous regions in terms of hydrological drought, the k-means method was used for clustering analysis. Based on the clustering results, 6 Homogeneous regions were identified in the basin. For each of these regions, the time series of the RDI index was calculated from 1365 to 1393. The results showed that during the study period in each of the regions 1, 2, 3, 4, 5, and 6, mild Wet and mild drought has occurred at 82.1, 80.1, 78.9, 83.3, and 84.3 percent of regions, respectively. Also, the total percentage of drought events (moderate and high) is higher than the total percentage of wet events (moderate and high) in all regions. So, during the study period, the total percentage of drought events (moderate and high) is more than twice the total percentage of wet events (moderate and high) in regions 2 and 3.
H. Ahmadzadeh, A. Fakheri Fard, Mohammad Ali Ghorbani, M. Tajrishy,
Volume 26, Issue 3 (Fall 2022)
Abstract
Determining the actual evapotranspiration value and analyzing its temporal trend is essential for optimal water resources management in a basin. In the present paper, the actual evapotranspiration time series is simulated and its trend is analyzed according to the trend of climatic variables and land use in the Ajichi basin during the period of 2015-1987. The comprehensive SWAT model was set up, calibrated, and validated for the Ajichi basin. Also, the average of simulated actual evapotranspiration of crops (in wet years) was compared with similar values in the National Water Document. The results of the Mann-Kendall trend test showed that the annual rainfall in most meteorological stations had a decreasing trend and the rainfall trend in the ten stations decreased significantly. While the annual maximum temperature at all stations and the annual minimum temperature in most of them have significantly increased. Investigation of land use maps illustrated that the irrigated land area of the basin has increased by a 39% during the study period. According the study's results, the potential evapotranspiration of the basin has had a significant increasing trend with a rate of 2.54 mm per year. The results indicated that despite the increasing trend of potential evapotranspiration and irrigated land area, the actual evapotranspiration of the basin had a significant decreasing trend with a rate of 2.2 mm per year due to the decrease in rainfall.
R. Samadi, Y. Dinpashoh, A. Fakheri-Fard,
Volume 27, Issue 3 (Fall 2023)
Abstract
A hydrological parameter affecting the management of water resource systems is changes in the amount and occurrence time of extreme precipitation (OTEP). In this research, the seasonality of precipitation in the Lake Urmia (LU) basin was analyzed using the daily extreme precipitation data of 30 rain gauges in the statistical period of 1991-2018. The uniformity of OTEP was tested by Rayleigh and Kuiper’s tests at 0.1, 0.05, and 0.01 levels. The slope of the trend line for OTEP was estimated using the modified Sen slope estimator. The uniformity of OTEP was rejected at each level. The results revealed two strong seasons: late winter and early spring (S1) and autumn (S2) for OTEP. The results showed a general median seasonality index of 0.3, which changed to 0.82 and 0.9 for S1 and S2, respectively, after dividing the whole year into two seasons. The seasonal strength of S1 was similar in both the western and eastern parts of LU, but the west of the lake was stronger than the eastern part in S2. In S1, negative and positive trends in the OTEP were observed on average in 40% and 60% of the stations, respectively, with corresponding values of 77% and 27% for S2, respectively.
