Showing 43 results for Ghani
Sh Mimohamadi, H Allahyari, M Nematolahi, A Sabouri, S Zarghami, Sh Khaghani,
Volume 13, Issue 47 (4-2009)
Abstract
The cabbage aphid Brevicoryne brassicae L. is an important pest, which attacks the rape seed and causes economic damage. In this study, effects of four different cultivars of rape seed (Zarfam, Licord, Hyola 401, and SLM046) on biological parameters and intrinsic rate of increase of B. brassicae were studied in laboratory conditions (25±1ºC, 70±10 RH and of 14:10 (L:D) photoperiod). Results showed that maximum nymphal and reproductive period, longevity of insects were found on Licord cultivar. The maximum fecundity of adult aphid was seen on Hyola 401. There was no significant difference between duration of developmental stages, and aphid fecundity on different cultivars. The intrinsic rate of increase was calculated by Wyatt & White method. Estimated intrinsic rate of natural increase of aphid was 0.316, 0.294, 0.311, and 0.289 on Zarfam, Licord, Hyola 401, and SLM046, respectively. Although the lowest intrinsic rate of increase was observed on Zarfam, statistical analysis of Wyatt & White output showed there was not any significance difference between rm on different cultivars.
Gh Dehghani, F Malek Shhi, B Alizadeh,
Volume 13, Issue 48 (7-2009)
Abstract
Canola (Brassica napus L.) as one of the oilseed crops has recently received lots of attention due to its suitable oil quality and high oil percentage. To evaluate the effect of water deficit stress on canola genotypes with regard to yield, drought tolerance quantitative indices and identify drought tolerant genotypes, an experiment was conducted in research farm of seed and plant improvement Institute (Karaj) using completely randomized block design with four replications, and 25 genotypes under two stress and non stress conditions. Genotypes were evaluated regarding drought tolerance. Drought tolerance quantitative indices include MP, GMP, STI, SSI and TOL. Result of variance analysis showed significant differences among genotypes as regards all indices and seed yield of genotypes in both conditions at 1% probability level. MP, GMP and STI indices were selected as the best indices for selection of tolerant genotypes in regard to analysis of correlation between seed yield in two stress and non stress conditions and drought tolerance indices. Results indicated that Genotype Vectra was the best genotype, because of its proper mean yield in both stress and non stress conditions. Multivariate biplot figure display showed that MP, GMP and STI indices had high correlation coefficient with each other, and tolerant genotypes were located near tolerance indices. Also results of three dimensional scatter plot and cluster analysis indicated that genotypes Modena, Jura, Eshydromel, Vectra, Dante, Zarfam, Esbetty and Olano were tolerant to drought stress, and genotypes Olpop, GKHelena, RG4504 and Olphi were sensitive genotypes.
S Mahbob Sharemi, A Forghani, H Ramezanpor,
Volume 13, Issue 49 (Water and Soil Science 2009)
Abstract
Surface charge of soils is measured using two different approaches: ion adsorption and potentiometric titration. Most models of surface charge chemistry of soils have been derived from the data obtained by potentiometric titration. The Uehara and Gillmanُs model was used to estimate the surface charges at some soil pH range in three forest soils of Lahidjan region. The selected soils (Typic Udorthent, Typic Hapludalf, Ultic Hapludalf) were formed on three different types of parent rocks. So, the effect of parent rocks on surface charge characteristics was investigated. Soil samples were characterized through their organic carbon, clay percentage, pH in water and 1 M KCl, cation exchange capacity (CEC), point of zero charge of variable charge components (pH0), zero point of net charge(ZPNC) and charge variation. All soils had a significant amount of negative charge at soil pH. A Typic Hapludalf contained the lowest value of pH0 and the largest amount of negative charge at soil pH. The pH0 values were less in the surface than in the subsurface horizons. The ZPNC values were not obtained by the interpretation of charge variation curves and estimated lower than 2.5, which refers to high amount of negative charge in these soils. Differences in negative charge development in a pH range from 3 to 6 were largest for horizons rich in organic carbon and least for those with significant amounts of layer silicate minerals. Data obtained from charge variation curves of the studied soils also showed that the values of AEC were low and below 1 cmol/kg soil.
M. Fereidooni Naghani , F. Raiesi , S. Fallah ,
Volume 14, Issue 54 (winter 2011)
Abstract
The addition of organic and inorganic substrates to calcareous soils low in organic matter and nitrogen contents may change soil microbial biomass and activity. In order to investigate the effect of chemical and organic fertilizers on soil CO2 production and microbial biomass C, a field experiment was conducted under maize cultivation. The experimental design was split-plot arranged in randomized complete blocks with 7 treatments including 3.8, 7.6 and 11.5 ton ha-1 broiler litter and 100, 200 and 300 kg nitrogen ha-1 from urea and a control with 4 replications. The results showed that fertilizer, manure and sampling day had a significant effect (P<0.05) on soil CO2 fluxes. Mean soil CO2 emissions increased from 21.8 g C m-2 soil in control treatments to 24.1 in the second level of broiler litter. Furthermore, the CO2 fluxes in broiler litter treatments were significantly greater than those in urea-treated plots. Similar to CO2 fluxes, the amount of soil microbial biomass C was also affected significantly (P<0.05) by fertilizer and manure applications. Soil microbial biomass C was 28% higher in broiler litter-amended plots than that in urea-amended plots. In contrast, the microbial metabolic quotient (qCO2) in urea-treated soils was 10% higher than that in broiler litter-treated soils. In conclusion, broiler litter and urea fertilizer improved biological properties in this calcareous soil, but broiler litter, especially the highest litter loading, was more effective than urea fertilizer.
Sh. Ghorbani Dashtaki, S. Dehghani Baniani, H. Khodaverdiloo, J. Mohammadi, B. Khalilmoghaddam,
Volume 16, Issue 60 (Summer 2012)
Abstract
Saturated hydraulic conductivity (Kfs) and macroscopic capillary length of soil pores are important hydraulic properties for water flow and solute transport modeling. Measuring these parameters is tedious, time consuming and expensive. One way is using indirect methods such as Pedotransfer functions (PTFs). The objective of this research was to develop some PTFs for estimating saturated hydraulic conductivity and inverse of macroscopic capillary length parameters (*). Therefore, the coefficients, Kfs and * from 60 points of Azadegan plain in Shahrekord were measured using single ring and multiple constant head method. Also, some of the readily available soil parameters from the two first pedogenic layers of the soils were obtained. Then, the desired PTFs were developed using stepwise multiple linear regression. The accuracy and reliability of the derived PTFs were evaluated using root mean square error (RMSE), mean error (ME), relative error (RE) and Pearson correlation coefficient (r). The highest correlation coefficients of 0.92 and 0.72 were found between Kfs-bulk density and *-bulk density, respectively. There was no significant correlation between soil particle size distribution and Kfs and *. This can be related to the fact that most of the soil samples were similar in texture and macro pores. The most efficient PTFs in predicting Kfs and * could explain 85 and 66 percent of the variability of these parameters, respectively. All the derived PTFs underestimated the Kfs and * parameters.
R. Roghani, S. Soltani, H. Bashari,
Volume 16, Issue 61 (fall 2012)
Abstract
Southern Oscillation Index (SOI) and Sea Surface Temperature (SST) patterns affect rainfall in many parts of the world. This study aimed to investigate the relationship between monthly and seasonal rainfall of Iran versus SOI and Pacific and Indian sea surface temperature. Monthly rainfall data, from 50 synoptic stations with at least 30 years of records up to the end of 2007, were used. Monthly and seasonal time series of each station were divided to several groups by four methods (Average SOI, SOI Phases, Indian SST Phases and Pacific SST Phases) using Rainman software and with regard to 0-3 months lead-time. Significant differences among rainfall groups in each method were assessed by the non-parametric Kruskal-Wallis and Kolmogorov-Smirnov tests, and the significant relationship was validated using Linear Error in Probability Space (LEPS) test. The results showed that SOI during summer (July-September) was related to autumn (October-December) and October rainfall in the west and northwest of Iran and the west Caspian Sea coast. The El Niño (negative) phase was associated with an increase in rainfall and the La Niña (positive) phase was associated with a decrease in rainfall in these regions. Average SOI is a useful index for rainfall forecasting in the above-mentioned areas. However, Indian and Pacific SST phases are not suggested for rainfall forecasting in Iran, duo to weak or non-persistence relationships. In conclusion, Iran rainfall is not limited to SOI, Pacific and Indian SST therefore, Rainman could not be used as an aid to water resources management over a year in Iran. It is suggested that we study the teleconnection between Iran rainfall and other ocean-atmospheric oscillations developing a model similar to Rainman in order to that we investigating the variation in Iran rainfall with aid of other effective ocean-atmospheric indicators
T. S. Taleghani , H. Khademi, M. Afyuni ,
Volume 18, Issue 67 (Spring 2014)
Abstract
Stabilizing heavy metals in polluted soils is a method to prevent them from entering plants. Clay minerals are considered good sorbents for heavy metals due to their low cost, high abundance, easy manipulation and harmlessness to the environment. The objective of this study was to investigate the potential of clay deposits containing smectites and palygorskite to sorb cadmium and to reduce its movement into canola. Two selected deposits are located in the Isfahan Province. Physical and chemical characteristics of clay deposits were determined. The clay fraction was then separated from each deposit sample. This study showed that palygorskite was the dominant clay mineral in deposit sample 1 and smectites in deposit sample 2. These clays were then used as an amendment to plant growth medium. Pot experiment was carried out with canola (Brassica napus) as a test plant with 3 replicates. Treatments included three growth media: smectite + quartz sand, palygorskite + quartz sand and pure quartz sand (control treatment) under 3 Cd concentrations: 0, 2.5 and 7.5 ppm. Results obtained from the pot experiment indicated that deposits containing smectite and palygorskite were very useful in stabilizing cadmium in polluted soils and could prevent Cd from entering plant. Smectite clay mineral could retain a higher quantity of cadmium as compared to palygorskite. Plants in pots amended with smectite had a higher growth rate as compared to those in control and palygorskite amended pots. Cadmium accumulation in plant roots was much higher than that in shoot. Furthermore, the higher Cd concentration in growth media resulted in the higher amount of Cd uptake by the plant.
M. Abdi Dehkordi, A. A. Dehghani, M. Meftah, M. Kahe, M. Hesam, N. Dehghani,
Volume 18, Issue 68 (summer 2014)
Abstract
In many water resource projects such as dams, flood control, navigability, river aesthetics, environmental issues and the estimation of suspended load have great importance. The complexity of sediment behavior and mathematical and physical model inability in simulation of sedimentation processes have led to the development of new technologies such as fuzzy logic which has the ability to identify nonlinear relationship between input and output variables. In this study, the application of fuzzy clustering algorithm in estimating the annual amount of sediment was studied. So, the corresponding data of flow and sediment discharge of Valykben station in kasilian basin during 1349-1350 till
1353-1354 period was daily determined. The data was divided in two groups i. e. 75% as training data and 25% for test data. Then, the efficiency of model was obtained by using statistical parameters such as correlation coefficient, nash-satklyf coefficient, mean square error root and variance ratio. The result showed that the classification of data on the annual time scale and use of fuzzy clustering algorithm can estimate 0.49 values of the measured annually suspended sediment transport. Furthermore, on the same scale of classification, i.e. annual scale, this value was obtained 0.19. Thus, using fuzzy clustering algorithm can lead to higher accuracy and reliability than rating curve method, which is suggested for estimating suspended sediment transport.
N. Dehghani, M. Vafakhah,
Volume 18, Issue 69 (fall 2014)
Abstract
Sediment is as one of problems related to water resources utilization. Numerous formulas have been developed for bed load estimation in rivers. In this study, eleven common formulas including hydrologic and hydraulic methods such as Einstein Tofalti Meyer, Peter and Muller Van Rayne Modified Van Rayne Yalin Bagnold Fraylink Habibi and Sivakumar and Samaga were used for selection of the most suitable bed load estimator formula in Kharajgil hygrometry station on Navrud river. The results showed that Habibi and Sivkumar formula is the most suitable with the mean computed to observed data=1.35, standard deviation computed to observed=1.96, RMSE=1.63 and ill sorted ratio(computed transportation ratio to observed)=33.82% within the range of 0.5 to 2.
M. Amini, A. Forghani,
Volume 19, Issue 71 (spring 2015)
Abstract
Any change in the characteristics of air, soil, water and food that adversely affect the health of the ecosystem, activities of human and other organismsis called contamination. Heavy metal uptake by plants depends on the type and concentration of metalin soil, its bioavailability, and plant species. The use of new sciences such as geostatistics is useful for fast and simple determination of soil and leaf contamination risk. This study studied the amount of soil and leaves of Platanus orientalis contamination in order to map the lead (Pb) and cadmium (Cd) concentration in Rasht city using a geostatistic method. To achieve the goal, 126 samples of surface soil (0-30 cm) and 76 leaf samples (Platanus orientalis) were collected from city streets. Total concentrations of lead and cadmium in the soils and leaves were determined, and clay, silt and sand particle percentage, organic matters, and soil pH were measured. Average concentrations of elements in terms of mg/kg were as follows: soil’s Lead: 86.62, soil’s Cadmium: 0.6, leaf’s Lead: 8.99. For soil Pb and Cd and leaf Pb, spherical model yielded a better fit in the experimental variogram in GS+ program by using trial and error method. According to the spatial structure, Kriging and IDW estimators were used for interpolation. Kriging estimation was mapped using Arc GIS 9.2 software.
B. Khalili Moghadam, M. Afyuni, A. Jalalian, K. C. Abbaspour, A. A. Dehghani,
Volume 19, Issue 71 (spring 2015)
Abstract
With the advent of advanced geographical informational systems (GIS) and remote sensing technologies in recent years, topographic (elevation, slope, and aspect) and vegetation attributes are routinely available from digital elevation models (DEMs) and normalized difference vegetation index (NDVI) at different spatial (watershed, regional) scales. This study explores the use of topographic and vegetation attributes in addition to soil attributes to develop pedotransfer functions (PTFs) for estimating soil saturated hydraulic conductivity in the rangeland of central Zagros. We investigated the use of artificial neural networks (ANNs) in estimating soil saturated hydraulic conductivity from measured particle size distribution, bulk density, topographic attributes, normalized difference vegetation index (NDVI), soil organic carbon (SOC), and CaCo3 in topsoil and subsoil horizon. Three neural networks structures were used and compared with conventional multiple linear regression analysis. The performances of the models were evaluated using spearman’s correlation coefficient (r) based on the observed and the estimated values and normalized mean square error (NMSE). Topographic and vegetation attributes were found to be the most sensitive variables to estimate soil saturated hydraulic conductivity in the rangeland of central Zagros. Improvements were achieved with neural network (r=0.87) models compared with the conventional multiple linear regression (MLR) model (r=0.69).
N. Dehghani , M. Vafakhah, A. R. Bahremand,
Volume 19, Issue 73 (fall 2015)
Abstract
Rainfall-runoff modeling and prediction of river discharge is one important parameter in flood control and management, hydraulic structure design, and drought management. The goal of this study is simulating the daily discharge in Kasilian watershed by using WetSpa model and adaptive neuro-fuzzy inference system (ANFIS). The WetSpa model is a distributed hydrological and physically based model, which is able to predict flood on the watershed scale with various time intervals. The ANFIS is a black box model which has attracted the attention of many researchers. The digital maps of topography, land use, and soil type are 3 base maps used in the model for the prediction of daily discharge while intelligent models use available hydrometric and meteorological stations' data. The results of WetSpa model showed that this model can simulate the river base flow with Nash- Sutcliff criteria of 64 percent in the validation period, but shows less accuracy with flooding discharges. The reason for this result can be the small and short Travel time noted. This model can simulate the water balance in Kasilian watershed as well. The sensitivity analysis showed that groundwater flow recession and rainfall degree-day parameters have the highest and lowest effect on the results, respectively. Also, ANFIS with the inputs of rainfall 1-day lag and evaporation 1-day lag, with Nash-Sutcliff criteria of 80, was superior to WetSpa model with Nash-Sutcliff criteria of 24 percent in the validation period.
N. Salamati, H. Dehghanisanij, L. Behbahani,
Volume 23, Issue 1 (Spring 2019)
Abstract
In order to investigate the effect of water quantity in subsurface drip irrigation on water use efficiency of palm yield and yield components, and determining suitable irrigation treatments for three different date cultivars, a split plot experiment design in a randomized complete block design with three replications were applied for three cropping years (2013-2016), at Behbahan Agricultural Research Station. The applied irrigation water in three levels based on 75, 100 and 125 percent of water requirement in the main plots and three cultivars of Kabkab, Khasi and Zahidi dates were compared in sub plots. The irrigation level of 75% with 0.646 kg of dates per 1 cubic meter of water in terms of water use efficiency as compared to the other two levels of irrigation showed a significant superiority. The Khasi cultivar with 83.9 pips and 29.2929 fruits in the cluster ranked first. The irrigation level of 125% with 11.1% were higher in fruit moisture, and 100% and 75% irrigation levels with 9.6% and 7.8% moisture content were the next. The irrigation level of 125% for Kabkab cultivar with a volume of 11.1 cubic centimeters were ranked first. Optimizing water use and reducing it to 10606 cubic meters per hectare in irrigation level of 75% water treatment will save water consumption. If the basis for comparing the amount of water used in 100% water treatment is considered, then the use of subtropical drip irrigation reduces water consumption by 2509.6 and 5019.2 cubic meters per hectare, respectively, compared to 100 and 125% water requirements.
S. Z. Kiani Harcheghani, A. R. Hosseinpur, H. R. Motaghian,
Volume 23, Issue 2 (Summer 2019)
Abstract
Adsorption is one of the most important processes controlling the concentration of zinc (Zn) in the soil solution. The presence of nutrient anions in the solution can affect Zn2+ adsorption. In this study, the effect of orthophosphate, nitrate and chloride anions on the Zn2+ adsorption in five calcareous soil samples of Chaharmahal-va-Bakhtiari province was investigated. In order to study the Zn adsorption isotherms, solutions containing 25, 50, 75, 100, 150 and 200 mg/L Zn of ZnSO4 source were used in KH2PO4, KNO3 and KCl electrolytes (electrolytes concentration equal to 50 mM). The Freundlich, Langmuir, and linear equations were used to investigate the ability to describe the Zn adsorption. Based on the results, the Freundlich and Langmuir equations could describe the Zn adsorption. The results of this study showed that Zn in the presence of orthophosphate anion had the maximum adsorption capacity and an adsorption intensity higher than that of chloride and nitrate anions; meanwhile, in comparison with nitrate and orthophosphate anions, adsorption energy (k), maximum buffering capacity (MBC), and distribution coefficient (kf) in the presence of chloride anion were higher (p< 0.05). The results of this study, therefore, showed that in the presence of anion orthophosphate, Zn adsorbed more intensity and strongly, while adsorption energy was less than the presence of the other two anions. Therefore, it could be concluded that Zn and phosphate fertilizers should not be applied together in the soil.
Z. Eshkou, A. Dehghani, A. Ahmadi,
Volume 23, Issue 3 (Fall 2019)
Abstract
Stilling basins have been used as an energy dissipater downstream of hydraulic structures. Dimensions of the stilling basins depends on hydraulic jump characteristics. In this research diverging hydraulic jump with an adverse slope using baffle blocks and an end sill have been studied experimentally and effect of diverging angle of the walls, adverse bed slope and baffle blocks on the hydraulic jump characteristics have been evaluated. Tests have been done for rectangular stilling basin with different bed slopes (0.025-0.05-0.075) and different diverging angle (3-5-9) degree and using baffle blocks. Discharge and Froude numbers considered to range from 39 to 81.7 lit/s and 4.44 to 8.56 respectively. Results have been indicated that the baffle blocks have been reduced sequent depth ratio and relative length of the jump 12% and 18% respectively (in comparison to diverging stilling basin with adverse slope without block). It was also found that baffle blocks and end sill could considerably improve the general condition and features of an expanding hydraulic jump with an adverse slope and could stabilize the position of this type and bi-stable situation of the flow.
A. M. Ghaeminia, M. A. Hakimzadeh, R. Taghizadeh-Mehrjardi, F. Dehghani,
Volume 23, Issue 4 (winter 2020)
Abstract
One of the reasons for soil salinization is the accumulation of salts in it by transmission through water and wind. In order to investigate the phenomenon of transfer of salts with dust in the arid regions of the north of Yazd- Ardakan plain, field samples were taken using 32 MDCO sediments traps with uniform dispersion in an area of 20,000 hectares at some stage in 4 seasons of 2017. After washing the sediment collector with a liter of distilled water in the field and transferring the samples to the laboratory, for the quantitative analysis of saline dust, similar to measuring the Water Electrical Conductivity (ECw), the Total Soluble Solids (TDS) were additionally measured through evaporation technique. The form and distribution of the dust particle size were additionally investigated using a Scanning Electron Microscope (SEM) tool. Within the qualitative examine of salts, effective cations and anions in salinity including Na+, K+, Ca++, Mg++, C1-, HCO-3 and SO-4 were measured The results confirmed that, in general, the fallout was 11.1 g.m-2 of soluble material with dust particles (13.28%) in the course of only 12 months. Particles with a diameter of 5 to 10 microns were the most frequent. Considering the high correlation between C1- and Na+ in the spring, autumn and winter, due to the high correlation between Ca++ and SO-4 in summer dust, sodium chloride (NaCl) and gypsum (CaSO4) 2H2O)), the most abundant composition of dust- containing salts could be expected in these seasons. By determining the percentage of solutes in the fallout dust, it was observed that the impact of the amount of the deposited salt from dust was slight and insignificant in the short time period; with the assumption of no change in the rate of subsidence, it was anticipated that it would explain the poor salinity in non- saline mass soils for up to 10 cm in 72 years. In general, the capability of airborne salt in increasing the soil salinity in the study area can be in long- term periods. Therefore, it is recommended to investigate other environmental effects of this phenomenon in order to identify its hazards.
A. Forghani, A. H. Forghani, M. Taghizadeh, B. Rabiei,
Volume 24, Issue 1 (Spring 2020)
Abstract
Soils pollution with heavy metals is due to the presence of various metals such as copper, nickel, cadmium, zinc, chromium and lead. Heavy metals have a negative effect on the biological parameters of soil, including size, activity and diversity of soil microbial population, as well as the enzymes involved in the deformation of such elements as P, N, C, and S. Thus, the activity of soil enzymes as a bioavailable agent is reflected as a cheap and fast method for the natural and anthropogenic distribution of heavy metals contamination. The purpose of this study was to investigate the effect of lead, humidity and their interaction on urease and phosphatase enzyme activity during a 10 week incubation period. Different levels of acetate lead (50,100, 150 and 200 mg/kg soil) were added to the plots containing two different moisture regimes (field capacity and flooding). The activity of urease and phosphatase (alkaline and acidity) was measured after 2,4,6,8 and 10 weeks of incubation. The results indicated different levels of lead had no significant effect on the activity of urease and acidity phosphatase. In contrast, high levels of lead significantly reduced the activity of alkaline phosphatase. Moreover, moisture served a different role in the activity of these enzymes, and it was related to the lead concentration and incubation time. Additionally, the function and interaction of lead, moisture and time were very influential on urease and phosphatase activity. Therefore, the above three characteristics are very important to study soil contamination for the polluted soils.
J. Meshkavati Toroujeni, A.a. Dehghani, A. ٍemadi, M. Masoudian,
Volume 25, Issue 3 (Fall 2021)
Abstract
One of the crucial problems that exist in the irrigation networks is the fluctuation of the water surface flow in the main channel and changes in the flow rate of the intake structure. One of the effective methods to decrease these fluctuations is increasing the weir crest length at the given width of the channel with the use of the labyrinth weirs can be achieved for this purpose. The labyrinth weir is the same linear weir that is seen as broken in the plan view. In this study, a labyrinth weir with a length of 3.72 m, three different heights of 15, 17, and 20 cm, three different shapes of dentate (rectangular, triangular, and trapezoidal), and a linear weir were used in a recirculating flume with 15 m length and 1 m width. The result showed that for a given length and height of weir, with the increasing of the upstream water head to the weir height ratio (
), the discharge coefficient decreases. The results showed that by increasing weir height, the discharge coefficient decreases for a given length of the weir. Linear weir and labyrinth weir without dentate create more water depth at the upstream by 3.3 and 1.2 fold compared with dentate labyrinth weir.
K. Ghaderi, B. Motamedvaziri, M. Vafakhah, A.a. Dehghani,
Volume 25, Issue 4 (Winiter 2022)
Abstract
Proper flood discharge forecasting is significant for the design of hydraulic structures, reducing the risk of failure, and minimizing downstream environmental damage. The objective of this study was to investigate the application of machine learning methods in Regional Flood Frequency Analysis (RFFA). To achieve this goal, 18 physiographic, climatic, lithological, and land use parameters were considered for the upstream basins of the hydrometric stations located in Karkheh and Karun watersheds (46 stations with a statistical length of 21 years). The best Probability Distribution Function (pdf) was then determined using the Kolmogorov-Smirnov test at each station to estimate the flood discharge with a return period of 50-year using maximum likelihood methods and L-moments. Finally, RFFA was performed using a decision tree, Bayesian network, and artificial neural network. The results showed that the log Pearson type 3 distribution in the maximum likelihood method and the generalized normal distribution in the L moment method are the best possible regional pdfs. Based on the gamma test, the parameters of the perimeter, basin length, shape factor, and mainstream length were selected as the best input structure. The results of regional flood frequency analysis showed that the Bayesian model with the L moment method (R2 = 0.7) has the best estimate compared to other methods. Decision tree and artificial neural network were in the following ranks.
A. Safadoust, S. Ghanizadeh, M. Nael,
Volume 26, Issue 1 (Spring 2022)
Abstract
This study was conducted to investigate the effects of vegetation type (Alfalfa and Wheat) and slope (5% and 20%) on runoff and drainage pollution in clay loam soil. Sampled soils were repacked in the box with one soil drainage outlet and one surface flow outlet and were cultivated by wheat or alfalfa. A solution containing 0.05 M KCl was poured quickly and uniformly, over the surface of each box, after plant growth. Simulated rainfall was applied to the soil box with the intensity of a constant rate of 64 mm h-1 for 2 hours immediately. Then the concentration of Cl- and K+ were measured in the collected samples of runoff and the drainage outlet. Results showed that the measured concentration of K+ was lower than the Cl- concentration as a result of its absorbable property. The breakthrough curves (BTCs) of Cl- and K+ showed that slope and vegetation type affected the transport of Cl- and K+. The peak of the BTCs for Cl- and K+ in runoff ranked in the order of wheat and 20% slope> alfalfa and 20% slope> wheat and 5% slope> alfalfa and 5% slope, and in the drainage changed to alfalfa and 5% slope> wheat and 5% slope> alfalfa and 20% slope> wheat and 20% slope. For each slope, the intensive vegetation cover of alfalfa than wheat considerably reduces Cl- or K+ pollution in runoff; whereas drainage development of larger and deeper root systems was the cause of higher leached concentrations for both tracers. Based on our research changes in soil surface vegetation cover from wheat to alfalfa are suggested in slope land to prevent surface water pollution; although other factors such as the climate, soil texture, and structure should also be considered.
