Showing 854 results for SH
S. H. Roshun, Gh. Vahabzadeh, K. Solaimani, A. Khaledi Darvishan,
Volume 21, Issue 3 (Fall 2017)
Abstract
Sand and gravel mining from the most of our country rivers causes morphological, hydrological and geomorphological changes in these rivers. This study investigates the effects of removal of sand and gravel from the river bed on sedimentological features of Zaremrood River in Mazandaran province. For this purpose, by determining four sections before and four sections after the sand removing point, the river bed sediments sampling in combined approach and in a plot within the river were performed and sedimentology features such as the large, medium and small diameters (a, b and c), roundness (Rc), form factor (Sf), normal diameter (D), sphericity (S), and width ratio (W), were measured and calculated in the laboratory and analyzed by SPSS software. The results showed that the variations of sediment statistics a, b, c, Sf, D, S and W in the pre- and post- harvest location has a significant difference but the Rc statistic does not show any significant difference. The reduction of the triple diameters after the excavation site is caused by the fracture of the sediments in the mining area, so that the sphericity of grains also decreased in the mining area. Roundness of sediment particles after the excavation site is decreasing up to 600 meters reach and then it tends to increase.
A. Khalili Naft Chali, A. Shahidi, A. Khashei Siuki,
Volume 21, Issue 3 (Fall 2017)
Abstract
In recent years and in many countries, overusing groundwater resources had been higher than their annual feeding amount. This issue caused drop in the groundwater levels, followed by drying wells, qanats and springs. In this study, given the importance of Neyshabur plain in supplying agricultural, industrial and drinkable water of the area, lazy algorithms of KNN, KSTAR and LWL and M5 tree model have been utilized under seven different scenarios in order to estimate groundwater level of this aquifer. To compare the results, the Statistical parameters of root mean square error, correlation coefficient and the average absolute error were analyzed. The results showed that the ‘f’ scenario which contains the volume of water discharged and total precipitation parameters is less efficient because the ground surface level parameter was not taken into account. In ‘a’, ‘b’ and ‘g’ scenarios, an optimum estimation has been maintained for the groundwater level by considering the parameters of total rainfall in the previous month, total rainfall in the last two months and the ground surface level. Among the models of lazy algorithms and M5 decision tree model, the ability of KNN model under ‘a’ scenario was more than other models in December (Azar) by the statistical parameters RZ=0/96 , RMSE= 6.56 and MAE= 3.53. Also, study of evaluation criteria showed that the LWL is not an appropriate model to predict the level of the water table.
M. J. Asadollahzade, A. H. Khoshgoftarmanesh, M. Sepehri,
Volume 21, Issue 4 (Winter 2018)
Abstract
Iron (Fe) and zinc (Zn) deficiency is common in wheat growing areas of the world particularly in calcareous soils. Soil application of chemical fertilizers is considered as a cost-effective and easy approach to combat micronutrient deficiency. However, due to economic, environmental, and agronomic constrains, efficiency of soil fertilization is low in most calcareous soils. Therefore, finding proper and effective approaches to improve fertilizer use efficiency and/or soil availability of metal nutrients is of great importance. This research was performed to investigate the effect of endophyte fungus Piriformospora indica and Zn-sulfate application on root and shoot dry matter yield and uptake of Fe and Zn by wheat. The experiment was set up in a completely randomized factorial design; each treatment contained three replicates. Two wheat cultivars (Triticum aestivum L. cvs. Durum and Rushan) were exposed to two Zn fertilizer rates (0 and 15 mg/kg ZnSO4.7H2O) and were inoculated with and without P. indica. Results showed that inoculation with P. indica increased root and shoot uptake of Fe (25 and 27%, respectively) and Zn (46 and 26%, respectively). In general, inoculation of roots with P. indica resulted in significant increase of shoot and root dry matter yield and uptake of Fe and Zn by both studied wheat cultivars. Infection of wheat roots with P. indica seems to be an effective and environment-friendly approach to improve Fe and Zn uptake in calcareous soil; although further research is needed to clarify all aspects of this approach
A. R. Keshtkar, H. Shariatmadari, H. R. Naseri, M. Tazeh,
Volume 21, Issue 4 (Winter 2018)
Abstract
Nowadays, inappropriate land use and degradation of natural resources have led to increase of flood, soil erosion etc. In such critical conditions, an integrated planning in natural resource management with the goal of control, reclamation and conservation seems to be necessary and these kinds of purposes can be reached by an integrated watershed management. Comprehensive management of watersheds is a coordinated and harmonic management of physical, biological, social and economic systems, which provides conditions that minimize the negative impact on resources while safeguarding the interests of the community. In this research, in line with the goals of resource management, the impacts and consequences of physical, economic and ecological criteria on vegetation condition changes were evaluated with focus on elimination of flood and soil erosion issues in Nahrein watershed (with the area of 18800 ha located in Tabas). The evaluation was done by considering four management activities: management of grazing, planting, seeding, and sowing. The prioritization of the scenarios was carried out using analytical hierarchy process (AHP) technique. Then, based on the suggestions and comments from relevant experts, the evaluation of available options was done by pairwise comparison matrix method. After calculations, economic criteria was selected as the most important criteria and management activity of sowing and scenario No. 16 were introduced as the most appropriate reform plan and scenario for the study area which is selected based on available criteria
S. Pishyar, H. Khosravi, A. Tavili, A. Malekian,
Volume 21, Issue 4 (Winter 2018)
Abstract
In this study, to study the status of water resources degradation in Kashan region, Isfahan Province, eight indices including: drop in groundwater, water salinity, irrigation efficiency, Well-to-Qanat development ratio, the pumping time, shortage of water supplies for animals and humans and the water negative balance were selected according to previous studies conducted on desertification in Iran and the world. Existing evaluation models were determined. Desertification map of the study area was provided according to MEDALUS model and selected indices. The selected indices were weighted using a multi-criteria decision method and each index having weight more than 0.5 were selected as the most effective indices of desertification. Again, the desertification status map of the study area was prepared by the most effective indices. Finally, the two desertification maps were compared. The results showed that the drop in groundwater, water salinity, the pumping time and water negative balance have the most effect on water resources degradation among selected indices. The results of comparing two groundwater degradation maps showed that based on map provided with eight indices, 87.78 and 8.30 percent of the total area are classified in critical conditions c and b, respectively. While the map provided by the most effective indicators shows that 99.15% of the total area is classified in the critical condition "c" and just 0.849% is classified in the critical condition "b". It can be concluded that to assess desertification status, it is better to first determine the indicators by weighting and prioritizing methods. This will identify the indicators that have not had a significant effect on the desertification phenomenon in the area and prevent their impact on desertification classes and reduction of scores.
F. Masoudi, M. Shirvani,
Volume 21, Issue 4 (Winter 2018)
Abstract
Water and soil pollution with heavy metals has become a worldwide environmental issue. Therefore, development of efficient and low-cost methods for removal of metals from water or metal stabilization in soil has been identified as priority research areas. Biochar, produced from plant biomass and agricultural wastes, has recently been used to remove heavy metals from aqueous solutions as an effective sorbent. In this study, biochars were made from pyrolysis of palm tree residues at different temperatures of 200, 400 and 600 °C. The prepared biochars were then used to remove Ni from aqueous solutions in batch systems without pH adjustment and with pH adjustment at 7. To investigate Ni sorption rate, kinetic experiments were also carried out at a Ni concentration of 10 mg/L. The results of kinetic tests showed that the biochar prepared at 600 °C had more Ni sorption rate with equilibration time of about 5 h. Power function and Elovich models were the best equations fitted the kinetic data. Langmuir and Freundlich isotherms described sorption of Ni on the sorbents very well. According to the Langmuir model predictions, the biochar produced at 600 °C and the palm raw residues had highest and the lowest capacity to sorb Ni from the solution, respectively, and the biochars produced at 200°C and 400°C were intermediate in this respect. Both the capacity and affinity of the biochars for Ni sorption increased with pH. Overall, under the experimental conditions applied in this study, the biochar prepared at 600 °C showed the highest efficiency for Ni removal from aqueous solution.
A. Honarbakhsh, M. Pajoohesh, M. Zangiabadi, M. Heydari,
Volume 21, Issue 4 (Winter 2018)
Abstract
Nowadays, human interferences in the natural resources cause the loss of these resources and lead to destructive floods, soil erosion and other various environmental, economic and social damages. Furthermore, increasing growth of population and climate change intensify the destructions. Thus management and planning through land use optimization is essential for the proper utilization, protection and revival of these resources. The purpose of this study is to couple the fuzzy goal programming and multi objective land allocation optimization approaches to develop a model for watershed management and planning in Chelgerd watershed. The proposed model is based on optimum area determination in various land uses and also their optimum local situation. In this research, a fuzzy model has been proposed. In this model, minimizing the amount of soil erosion and maximizing the amount of profit are priorities, respectively. Moreover, production resources including water and land as well as economic and social problems are limitations of the mentioned model. Results obtained show that the proposed model is an efficient model in land use optimization and sustainable area development and can increase profit to 37% and decrease sedimentation to 2.4%, respectively.
Y. Choopan, A. Khashei Siuki, A. Shahidi,
Volume 21, Issue 4 (Winter 2018)
Abstract
Limited water resource in arid and semi-arid areas is one of the most important problems in the agricultural sector. Therefore, the use of non-conventional water resources becomes more important. For this reason, a study was conducted on barley to evaluate the effect of irrigation with sugar plant wastewater as a factorial randomized complete block design field experiment. Treatments include water well I1, wastewater I2, combined water and wastewater I3 (the ratio of seven to one, according to local practice) in two levels of without water stress S1 and %75 water stress S2 and treatment I1S1 was considered as control. The results showed changes in surface tension of %1 had a statistically significant effect on plant height, grain yield and root length. As well changes of irrigation water in the level of %1 had a statistically significant effect on plant height, grain protein yield and root length. Maximum grain yield was obtained in treatment I1S1 with the weight of 4034 kg per hectare and lowest grain yield was obtained in treatment I2S2 with the weight of 1564 kg per hectare. The lowest and highest percentages of protein content were observed in treatment I1S1 for 12.37% and treatment I2S2 for 13.47%, respectively. The plant height showed the highest amount in control treatment, i.e. 82.87 Cm.
N. Rashidi, M. Naderi, Sh. Ghorbani Dashtaki,
Volume 21, Issue 4 (Winter 2018)
Abstract
Nowadays application of soil conditioners for mitigation and reduction of runoff is a current method. Considering the advantages of Polyacrylamide (PAM), this study was arranged to evaluate impacts of this soil conditioner on soil infiltration rate, runoff and erosion control. To fulfill the goal, a factorial experiment in a completely randomized design was carried out with four PAM treatments (0, 6, 10, 20 kgha-1), three slope levels (3, 6 and 9 %), three irrigation treatments and three replications. Surficial (0-10 cm) soil samples were collected from Shahrekord University campus and poured into square plots (55×55cm) with 15 cm depth, after pretreatments. The plots were treated with a simulated rainfall intensity of 36 mm.h-1 for 15 minutes and the attributed runoff, sediment load and drained water were collected and measured. The results showed significant differences among the runoff and soil erosion of control and of PAM treated soils. PAM minimized the raindrop negative impacts on soils and improved water infiltration and diminished the attributed runoff. Soil treatment with PAM as a soil conditioner significantly reduced soil erosion and sediment yield in all treatments.
R. Mostafazadeh, Sh. Mirzaei, P. Nadiri,
Volume 21, Issue 4 (Winter 2018)
Abstract
The SCS-CN developed by the USDA Soil Conservation Service is a widely used technique for estimation of direct runoff from rainfall events. The watershed CN represents the hydrological response of watershed as an indicator of watershed potential runoff generation. The aim of this research is determining the CN from recorded rainfall-runoff events in different seasons and analyzing its relationship with rainfall components in the Jafarabad Watershed, Golestan Province. The CN values of 43 simultaneous storm events were determined using SCS-CN model and the available storm events of each season have been separated and the significant differences of CN values were analyzed using ANOVA method. The Triple Diagram Models provided by Surfer software were used to analyze the relationships of CNs and rainfall components. Results showed that the mean values of CN were 60 for summer and winter seasons and the CN values in the spring and autumn seasons were 50 and 65, respectively. The inter-relationships of CN amounts and rainfall characteristic showed that the high values of CNs were related to high rainfall intensities (>10 mm/hr) and rain-storms with total rainfall more than 40 mm. Also the CN values were about >70 for the storm events with 40-80% runoff coefficient values.
S. Zahedi, K. Shahedi, M. Habibnejhad Roshan, K. Solaimani, K. Dadkhah,
Volume 21, Issue 4 (Winter 2018)
Abstract
Soil depth is a major soil characteristic commonly used in distributed hydrological modeling in order to present watershed subsurface attributes. It strongly affects water infiltration and accordingly runoff generation, subsurface moisture storage, vertical and lateral moisture movement, saturation thickness and plant root depth in the soil. The objective of this study is to develop a statistical model that predicts the spatial pattern of soil depth over the watershed from topographic and land cover variables derived from DEM and satellite image, respectively. A 10 m resolution DEM was prepared using 1:25000 topographic maps. Landsat8 imagery, OLI sensor (May 06, 2015) was used to derive different land cover attributes. Soil depth, topographic curvature, land use and vegetation characteristics were surveyed at 426 profiles within the four sub-watersheds. Box Cox transformations were used to normalize the measured soil depth and each explanatory variable. Random Forest prediction model was used to predict soil depth using the explanatory variables. The model was run using 336 data points in the calibration dataset with all 31 explanatory variables (18 variables from DEM and 13 variables from remote sensing image), and soil depth as the response of the model. Prediction errors were computed for validation data set. Testing dataset was done with the model soil depth values at testing locations (93 points). The Nash-Sutcliffe Efficiency coefficient (NSE) for testing data set was 0.689. The results showed that land use, Specific Catchment Area (SCA), NDVI, Aspect, Slope and PCA1 are the most important explanatory variables in predicting soil depth.
A Fararooei, M. Noshadi, S. Amin Sichani,
Volume 22, Issue 1 (Spring 2018)
Abstract
PCBs are persistent organic pollutants which, due to high environmental hazards, must be traced, determined, and decomposed to reduce their risks. . To detect this material in the soil, the method of extraction and appropriate measuring conditions should be investigated. Two soil samples with two kg weight were selected with two different soil textures and the solutions of soil were made with the 1000 µg/ml aroclor 1254 mixture in a GC device. . Agilent GC-MS with stationary phase (CP 7477) was used to measure aroclor 1254. The analysis of variance and the test of the extraction mean of aroclor 1254 were compared in two soil textures. The results suggested that coarse texture soil (sandy loam) had a higher extract than the fine one (silty loam). The difference was statistically significant (P< 0.01). These findings suggested that the soil texture affected the extraction of aroclor from soil. In addition, four different levels of moisture (5%, 10%, 15% and 20%) produced in two soil textures and aroclor were measured. The highest level of extraction was obtained at 20% moisture, which was significantly higher than that in other levels (P< 0.01). The difference between the mean of extractions in the soil samples with 10% and 15% levels of moisture was non-significant (P> 0.05).
S. Z. Atar Shahraki, A. R. Hosseinpur, H. R. Motaghian, Sh. Ghorbani,
Volume 22, Issue 1 (Spring 2018)
Abstract
The study of the kinetics of non-exchangeable potassium (NEK) release is very important for a better understanding of K availability for plants in different soils. Moreover, aggregates with different sizes have different effects on the release of nutrients. Therefore, the aim of this study was to examine the release of NEK in 5 calcareous soils of chaharmahal-va- bakhtiari province, and small and large aggregates (<250 μm and >250 μm) using CaCl2 0.01 M at 25±1ºc for 2-2017 h. The results showed that cumulative released NEK in soils, and small and large aggregates was 173.5-372.7, 215.1-426.1 and 178.9-381.5 mg kg-1, respectively. The results revealed that coefficients of the cumulative released NEK in small aggregates was lower than those of the soils and large aggregates. Based on the coefficient of determination (R2) and standard error (SE), the released NEK was well described by the first order, the power function, parabolic diffusion, and simplified Elovich equations. The rate coefficients of the release of K were different in different soils. The cumulative released amount of K and its rate of release in a solution of calcium chloride in small aggregates was more than those of large aggregates.
N. Abbasi, A. A. Afsharian,
Volume 22, Issue 1 (Spring 2018)
Abstract
Gypsiferous soils are one of the problematic soils which, due to solubility and contact with water, are a threat to various civil structures, especially water structures. Various factors affect the rate and amount of gypsum particles solubility. Gypsum types, the soil texture, the amount of gypsum in soil, the hydraulic gradient, and temperature and flowing water from gypsum soil are the major factors affecting the quality and quantity of the gypsum solution. In this research, the effects of some peripheral conditions including water temperature and hydraulic gradient on the solubility of gypsum soils were studied. To this aim, samples of gypsum soils were provided artificially by adding various rates of the natural gypsum rock including 0, 5, 10, 20 and 30 percent by weight of clay soil. Then, all gypsum soils were leached under five hydraulic gradients levels including 0.5, 1, 2, 5 and 10. The results indicated that the rate of Gypsum in the soil had a direct effect on the rate of solution in a way that by increasing the percent of Gypsum, the rate of solubility was increased. Also, the rate of leaching (the rate of the derived Gypsum from soil to the primary rate of Gypsum) was decreased by increasing the rate of Gypsum. In addition, by increasing hydraulic gradient, the speed of water and its amount in soil environment within a specified time were raised; further the rate of gypsum was increased too. Also, it was found that the rate of the solubility was increased directly by the temperature. The solubility rate of the gypsum soil at 50 C0 was found to be 2.5 and 1.6 times greater than that of the soil at 5 and 20 C0, respectively.
M. Shahsavari Gugharغ, A. Rezaei Estakhroieh, M. Irandost, A. Neshat,
Volume 22, Issue 1 (Spring 2018)
Abstract
With the increase of population, the optimal use of water resources is necessary. This study was carried out to evaluate the impact of different levels of irrigation on the yield, yield components and water productivity of corn using single and double row drip irrigation systems (Tubes type). . The experiment was conducted in a split plot design based on the randomized complete block design (RCBD) with three replications in 2012 in Hajiabad, Hormozgan Province. The treatments were comprised of three levels of irrigation as the main plot (100, 80 and 60% water requirement) and two patterns of irrigating water pipe installation (normal and every other row) as a sub-plot of the design. The results showed that irrigating with the 80 percent water requirement, in comparison with full irrigation, increased the total yield by 1.4%, the seed weight by 1.8%, the number of seeds per row by 8.7%, and the number of seed row per maize by 13%. In spite of yield superiority in the pattern of normally irrigating water pipe installation (10055.56 kg ha-1), against every other row installation (9366.67 kg ha-1), water productivity was more in every other row installation (1.089 kg m-3). Therefore, partial root-zone drying was recommended by the irrigation of the 80% plant water requirement for the maize in the region.
S. Shakeri,
Volume 22, Issue 1 (Spring 2018)
Abstract
Potassium fixation is one of the most important factors influencing the availability of this ion for plants. This research was carried out to evaluate the relationship between potassium (K) fixation with some physical and chemical characteristics of soils and clay minerals and to investigate the effect of the dry and wet cycle on potassium fixation in Kakan Plain, in Kohgilouye & Boyerahmad Province. To measure the amount of Potassium fixation, four levels of K were added to the samples and the samples were shaken for 24 h and then dried in the oven at 50°C for 24 h. The drying and wetting cycle was repeated three times. Another set of soil samples was similarly incubated for a period similar to the previous treatment, but drying was performed at room temperature in an equilibrium state. The results showed that potassium fixation was increased with the potassium concentration increment, whereas K fixation percentage was reduced. Also, potassium fixation showed a positive significant relationship with cation exchange capacity (CEC) as well as clay content, in both normal and dry and wet treatments, and a negative significant relationship with organic carbon. Moreover, potassium fixation was enhanced with the increase of smectite content in both normal and dry and wet treatments. Besides, due to more organic carbon and less smectite, surface horizons fixed K less than the subsurface horizons.
R. Khankhani Zorab, S. M. Kashefipour,
Volume 22, Issue 1 (Spring 2018)
Abstract
The purpose of this study was to evaluate two perforated sills in the stilling basin and their impact on characteristics of the hydraulic jump, such as the length of the roller of hydraulic jump, decrease in the secondary depth of the hydraulic jump, and the required tailwater depth. Also, the optimal distance of two perforated sills from the beginning of the stilling basin with a fixed height for the perforated sill and ratios of the opening of holes equal to 50% were determined. The experiments were carried out in the form of 48 tests for different discharges in the range of 47 to 145 lit/s and for Froude numbers in range of 3.6 to 11.2. The results of the experiments on two perforated sills showed that they could only reduce the length of the roller of the hydraulic jump to an acceptable level, with the distance between them providing the conditions to create a stable jump; also, the length of roller of jump was not decreased by reducing the distance between the sills. Also, they decreased the secondary depth of the forced hydraulic jump up to 27.8%, which was less than the secondary depth of the free hydraulic jump; the length of roller was up to 76.9 % less than the length of the roller of the free hydraulic jump for the Froude number of 11.2.
H. Faghih, J. Behmanesh, K. Khalili,
Volume 22, Issue 1 (Spring 2018)
Abstract
Precipitation is one of the most important components of water balance in any region and the development of efficient models for estimating its spatiotemporal distribution is of considerable importance. The goal of the present research was to investigate the efficiency of the first order multiple-site auto regressive model in the estimation of spatiotemporal precipitation in Kurdistan, Iran. For this purpose, synoptic stations which had long time data were selected. To determine the model parameters, data covering 21 years r (1992-2012) were employed. These parameters were obtained by computing the lag zero and lag one correlation between the annual precipitation time series of stations. In this method, the region precipitation in a year (t) was estimated based on its precipitation in the previous year (t-1). To evaluate the model, annual precipitation in the studied area was estimated using the developed model for the years 2013 and 2014; then, the obtained data were compared with the observed data. The results showed that the used model had a suitable accuracy in estimating the annual precipitation in the studied area. The percentages of the model in estimating the region's annual precipitation for the years 2013 and 2014 was obtained to be 7.9% and 17.3%, respectively. Also, the correlation coefficient between the estimated and observed data was significant at the significance level of one percent (R=0.978). Furthermore, the model performance was suitable in terms of data generation; so the statistical properties of the generated and historical data were similar and their difference was not significant. Therefore, due to the suitable efficiency of the model in estimating and generating the annual precipitation, its application could be recommended to help the better management of water resources in the studied region.
A. Shabani, A. Jahanbazi, S. H. Ahmadi, M. M. Moghimi, M. Bahrami,
Volume 22, Issue 1 (Spring 2018)
Abstract
In this study, five infiltration models including Kostiakov, Kostiakov-Lewis, Philip, Soil Conservation Service (SCS) and Horton were fitted to the experimental data using the double rings, and the empirical coefficients of these models were determined. Infiltration experiments were conducted in the gravelly sandy loam soil under and between the olive and orange trees in Fasa city, Fars Province, Iran. The results showed that all five models were fitted accurately to the measured data. The accumulated infiltration under the trees was higher than those measured between two trees. Higher infiltration under the tree canopies was probably due to the higher soil organic matter, the lower soil bulk density, and the tree root channeling, which were more pronounced when compared to the small pores in these soils. Despite the positive effect of sand particles on soil infiltration, the big gravel occurrence in soil would decrease the cross section area of water flow path, thereby reducing the infiltration. Therefore, changing the land use and planting olive and orange trees in the gravel soils would increase the infiltration rate and consequently, decrease runoff and erosion rates in such soils.
Sh. Zand-Parsa, S. Parvizi, A. R. Sepaskhah, A. A. Kamgar Haghighi,
Volume 22, Issue 1 (Spring 2018)
Abstract
In this study, the values of moisture and soil temperature were estimated at different depths and times under unsteady conditions by solving the Richards’ equation in an explicit finite difference method provided in Visual Studio C#. For the estimation of soil hydraulic parameters, including av and nv (coefficients of van Genuchten’s equation) and Ks (saturated hydraulic conductivity), soil moisture and temperature at different depths were measured by TDR probes and the stability apparatus, respectively. The objective function [equal to Root Mean Square Error (RMSE)] was minimized by the optimization of a parameter separately, using the Newton-Raphson method, while, the other parameters were considered as the constant values. Then, by replacing the optimized value of this parameter, the same was done for other parameters. The procedure of optimization was iterated until reaching minor changes to the objective function. The results showed that soil hydraulic parameters (coefficients of van Genuchten’s equation) could be optimized by using the SWCT (Soil Water Content and Temperature) model with measuring the soil water content at different depths and meteorological parameters including the minimum and maximum temperature,, air vapor pressure, rainfall and solar radiation. Finally, the measured values of soil moisture and temperature were compared to the depth of 70cm in spring, summer, and autumn of 2015. The values of the normalized RMSE of soil water content were 0.090, 0.096 and 0.056 at the soil depths of 5, 35 and 70 cm, respectively, while the values of the normalized RSME of soil temperatures were 2.000, 1.175 and 1.5 oC at these depths, respectively. In this research, the values of soil hydraulic parameters were compared with other previous models in a wider range of soil moisture varying from saturation to air dry condition, as more preferred in soil researches.
