Journal of Water Science & Engineering: 2 (15)

Open Access Article

1 - Simulation of the climate change impact on monthly runoff of Dez watershed using IHACRES model
ثریا صیاحی علی شهبازی خیراله خادمی

Identification and analysis of flow fluctuations in consequences of climate change is one of the most important factors in water resources management planning and this is vital especially in areas where large crowds are engaged in agriculture. Dez watershed, as an agric More

Identification and analysis of flow fluctuations in consequences of climate change is one of the most important factors in water resources management planning and this is vital especially in areas where large crowds are engaged in agriculture. Dez watershed, as an agricultural hub in the country, is one of areas that river flow fluctuations caused by climate change can affect a large population. In this study, by using gridded precipitation data APHRODITE and gridded temperature data set CHCN-CAMS, the IHACRES hydrological model was calibrated for the basin. Therefore, with introduction the temperature and precipitation under 2.6 Scenario of fifth report (CMIP5) to hydrologic model, flow fluctuations of watershed is simulation in future. result indicate that the temperature increase of 0.17-2 and precipitation changes of 3 to 75 percent in 2011-2035 period compared to the historical period (1983-2007). Runoff simulation result for future period showed that increases of 9.7 percent in long-term average annual runoff compared to the historical period. Manuscript profile

Open Access Article

2 - The use of wavelet - artificial neural network and adaptive neuro fuzzy inference system models to predict monthly precipitation
اباذر سلگی حیدر زارعی بهداد فلامرزی

Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. More

Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a modern and efficient method to analysis of signals and time series.In this study, wavelet analysis combined with artificial neural network and compared with fuzzy inference system-adaptive neural for forecasting rainfall in Vrayneh station in the Nahavand. For this purpose, the original time series using wavelet theory decomposed to multi time sub-signals, then these sub-signals as input data to the neural network was used to predict monthly flow.Obtained results showed that hybrid wavelet - neural network model outperformed than fuzzy inference system - adaptive neural model and cant used for prediction of short and long term precipitation. Also the results showed that the hybrid model of wavelet - neural network acts well in estimating the extent points. Manuscript profile

Open Access Article

3 - Experimental investigation time changes of maximum depth of scouring on control scouring of slot with rectangular slot section (comparison between triangular and invers triangular shape)
مهناز حیدری بنی مرتضی بختیاری مجتبی صانعی سید محمود کاشفی پور

Bridges are one the most important and useful river structure and as a key of Communication ways are very significant. Local Scouring is one the most reason of Instability of bridges and finally its failure annually immense human and financial cost to the government imp More

Bridges are one the most important and useful river structure and as a key of Communication ways are very significant. Local Scouring is one the most reason of Instability of bridges and finally its failure annually immense human and financial cost to the government imposes. So far, several studies on ways to control and reduce scouring around piers of the bridges has been done among them, the slot is at the base of the bridge. The purpose of this study is experimental investigation of maximum change of scouring over to time. For this purpose, two slot with Triangular and inverse triangular with same area and two levels of location, 1.5 and 3 cm over the bed at two discharges 25.6 and 32 lit/s on sediment with 0.5 mm diameter are investigated. The results of this study show that, at all of the cases slot caused reduce the local scouring and reduced the maximum volume hole scouring also the maximum scouring depth and volume of scouring hole with level of location to bed and Froude number and time has direct relationship. Manuscript profile

Open Access Article

4 - Prediction of scour dimension in the Plunge Pools below Outlet Bucket with Artificial intelligence method
علی لشکرآرا سارا خرم زاده

Accurate prediction of sediment scour hole dimensions downstream of hydraulic structures, e.g. the outlet bucket, is a complex and not straight forward engineering problem encountered worldwide. Because of the complexities of the study, its comprehensive, simultaneous i More

Accurate prediction of sediment scour hole dimensions downstream of hydraulic structures, e.g. the outlet bucket, is a complex and not straight forward engineering problem encountered worldwide. Because of the complexities of the study, its comprehensive, simultaneous including water flow, sediment and applying all of the effective variables involved in scouring it is not easy possible. Dimensions of a scour hole are usually determined by empirical equations which their validation is limited by experimental conditions. As constructing physical models has its own difficulty, determining of scour hole parameters has been applied in this paper for a collection of previous experimental studies. Two artificial intelligence techniques (ANN & ANFIS) are used and the results are compared with empirical equation for maximum scour holes using nonlinear regression method. Artificial Neural Network (ANN) simply represents interconnection of neurons, each of which carries out the task of combining the input, determining its strength by comparing the combination and finding out the result. On the other hand, ANFIS is a hybrid scheme which uses the learning capability of the ANN to derive the fuzzy rules with membership functions. The results showed that maximum error caused by applying ANFIS techniques in estimating scour hole dimensions was 5.2 percent while the error in neural network model was 10.38 percent. The significance of different parameters was discussed and a simple, innovative formula was proposed. This formula is an interesting tool for the engineering community due to its preferences for estimating the parameters of complex phenomena like erosion procedures. It has been established that scour estimations could be improved if soft computation is used in place of the traditional formulae. Manuscript profile

Open Access Article

5 - Effects of superabsorbent polymer on the number and leaf area of lettuce under drought stress
هانیه طاهری امیر سلطانی محمدی ناصر عالم زاده انصاری

In this research, to evaluate the effect of superabsorbent polymer and drought stress on the number and leaf area of Lettuce, experimental research was conducted in a completely randomized design factorial with two treatments of irrigation regime at three levels (60, 80 More

In this research, to evaluate the effect of superabsorbent polymer and drought stress on the number and leaf area of Lettuce, experimental research was conducted in a completely randomized design factorial with two treatments of irrigation regime at three levels (60, 80 and 100 percent of crop water requirement) and four superabsorbent hydrogel application (0, 4, 6 and 8 g per kg of soil) in three replications in the research field of Faculty of Water Sciences Engineering, ShahidChamran University of Ahvaz. The results showed that the use of superabsorbent and drought stress had a significant effect on the number and leaf area of Lettuce. The highest number of leaves (56 leaves per plant) was obtained in treatment with 8 grams of superabsorbent and 80 percent crop water requirement. The highest leaf area (6320 ) was obtained in non stress conditions (100percent crop water requirement) and application of 6 grams superabsorbent hydrogel per kilogram of soil. The lowest number of leaves (43 leaves per plant) and leaf area (3043 cm2) was obtained in treatment with 0 gram of superabsorbent and 60 percent crop water requirement. Between treatments of this research, the most effect in increasing the number of leaves and leaf area was observed in treatment with 6 grams superabsorbent and 100 percent crop water requirement. Therefore, it is recommended. Manuscript profile

Open Access Article

6 - Examination of different leaching methods of solublesalts from saline and sodic soil profiles
زهرا بهبهانی زاده رضائیان ابراهیم پذیرا ابراهیم پناه پور نرگس ظهرابی

Increasing of population in the world caused overusing natural resources and land destruction. Salinization and sodification are two effects of land destruction. Leaching of soil soluble salts is the most appropriate method to emend and reclaim saline and sodic soils. I More

Increasing of population in the world caused overusing natural resources and land destruction. Salinization and sodification are two effects of land destruction. Leaching of soil soluble salts is the most appropriate method to emend and reclaim saline and sodic soils. In this study, Examination of different leaching methods of saline from sodic soils has been evaluated in Veis Area in Khoozestan Province. This area with 6000 m2 is located in north east part of Ahvaz city. Most of this region soil contain clay and fine texture which salinization and sodification is clear. Canalization has been performed to irrigate the area from Karun River. Two different leaching methods including intermittent Ponding leaching and sprayer leaching in Polyethylene culms with 15 cm diameter and 1 meter height of soil have been performed. The depth of utilized leaching were 25, 50, 75 and 100 cm, also estimated soil layers were 0-25, 25-50, 50-75 and 75-100 cm. According to our results, and experimental method were found for estimation of each leaching method. Based on the higher correlation coefficient and lower standard error, the best method was exponent model in intermittent Ponding method. The results indicated that intermittent leaching method needs less water to reclaim slightly soils, also by using this method better leaching efficiency coefficient will be exhibited. Manuscript profile

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