@article { author = {Zallaghi, Ebrahim and Akhoond-Ali, Ali Mohammad and Ashrafi, Seyed Mohammad}, title = {Developing Concept of Water-energy Productivity to Evaluate Dez Dam Operation}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {1-15}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.36362.1157}, abstract = {The “concept of productivity” in the context of WEN (water-energy nexus) is a new outlook to evaluate dam and power plant operation policies. Understanding and modeling the complicated nature of water-energy nexus (WEN) are essential to increase productivity. The performance of dams and hydropower plants is mostly evaluated by the amount of energy generated and/or meeting downstream demands. The present study investigates the historical operation efficiency of Dez dam and hydropower plant from 1972 to 2018 by defining the productivity indices of water footprint (WF) of electricity, energy economics, water-energy performance, WEN, and energy sustainability. Then, the correlation between the obtained results and Streamflow Drought Index (SDI) is evaluated. The results indicated that wet years, despite generating more energy, do not show necessarily the highest productivities, since two years with moderate drought and almost similar discharges (i.e., 2007-2008 and 2010-2011) showed the highest and lowest productivities during the operation period of Dez Dam, respectively. Such difference arises from overlooking full supply levels (FSL) in from 2008 to2017. The FSL of water years in 2007-2008 was calculated to be 325.13 masl while it was 350.91 masl for water years of 2010-2011. One can, therefore, conclude that maximum productivity can be achieved even during droughts by adopting an optimal operation policy.}, keywords = {Water-energy nexus (WEN),Hydropower generation,Integrated modeling,Water productivity}, url = {https://jhs.scu.ac.ir/article_16486.html}, eprint = {https://jhs.scu.ac.ir/article_16486_8f4084214b1be30a0ca38e35d7623325.pdf} } @article { author = {ghorbani, zahra and Khozeymehnezhad, Hossein and Ramezani, Yousef}, title = {Laboratory Investigation of the Parameters of the Submerged Plates on the Turbidity Currents Characteristics}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {16-32}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.36477.1159}, abstract = {In dam reservoirs, the turbidity current is usually the cause of sediment transfer and deposition. Therefore, it is necessary to study this phenomenon. Here, experiments were made on the effects of the impermeable submerged plates on turbidity current head. In order to investigate the effects of the impermeable submerged plates, some parameters of the plates were changed, such as shape, angle of mounting of the plates with respect to the current axis, location and the dimensions of the plates. The results showed that the flow velocity of the turbidity current decreased by 25 to 27.1% with respect to the control state in case of different shapes of plates mounted. The analysis of the position of the plates showed that in different conditions, the flow velocity decreases 45.1% relative to the control state. Various mounting angles also resulted in 8.6 to 27.1% lower velocity relative to the control. Changing the width and height of the plates reduced the head velocity from 21.8 to 43.9% and 10 to 45.2%.}, keywords = {Impermeable submerged plates,Turbidity current,Velocity}, url = {https://jhs.scu.ac.ir/article_16684.html}, eprint = {https://jhs.scu.ac.ir/article_16684_8a68943cf8bb7e03544b3e8a1a62733d.pdf} } @article { author = {Mazaheri, Ahmadreza and Nasiri, Masoud}, title = {Liquefaction Behavior of Stabilized Sand using Clay - A Case Study: Dorood Liquefied Sand Investigation}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {33-46}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.36007.1155}, abstract = {The phenomenon of liquefaction in loose and saturated sandy soils is one of the most important hazards for engineering structures during an earthquake. In this phenomenon, the sand changes its behavior rapidly from solid to viscous fluid, resulting in the instability of the ground. In this research, at first, sand samples with liquefaction history collected from a site in Dorood, Lorestan, Iran. Samples obtained from depth of 1.8-2.7 and 2.7-3.5 m and in the laboratory, the parameters of maximum density, moisture content, friction angle and cohesion were determined. Then, in order to evaluate the effect of additive on the liquefaction potential, different percentages of clay from Dorood region added to the samples and tested. Finally, three-dimensional finite difference software (FLAC3D) used with inducing Dorood earthquake, to investigate liquefaction potential of stabilized samples by analyzing the u/σ ratio for models. The results showed that adding clay to the soil of this area reduce the friction angle, increase cohesion, and has a favorable effect on the liquefaction potential. Results of this investigation indicated that adding 3% clay to the liquefied Dorood sand, would lead to decrease the liquefaction potential up to 39%.}, keywords = {Liquefaction,case study,Dorood Sand,Clay,FLAC3D}, url = {https://jhs.scu.ac.ir/article_16685.html}, eprint = {https://jhs.scu.ac.ir/article_16685_2125cf7242e4fcdc5d61a3efd3b150c1.pdf} } @article { author = {Sedighi, Mehdi and Alimohammadi, Vahid and Sedighi, Mojtaba and Farahani fard, Saeed}, title = {Sludge-based activated carbon for removal of Cadmium in the water resource; Financial feasibility}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {47-59}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.36518.1161}, abstract = {Sludge-based activated carbon (AC) was prepared for the cadmium (Cd) removal from the aqueous solution. X-ray diffraction and Fourier transform infrared were applied as two main techniques to investigate the surface characterizations of the adsorbent. Response surface methodology (RSM), which was coupled with central composite design (CCD), was applied to study the impact of three major parameters, such as pH, dosage (D) and initial concentrate (C) on the percentage of Cadmium removal. The RSM model indicates that the optimum points of Cd removal were 90% at pH = 8.74 and D/C = 50. The Financial Feasibility and Investment Strategy was also investigated to consider key indicators in the financial feasibility of water treatment projects. The present study shows the systematic investigation of an attractive adsorbent to remove Cd from an aqueous solution. Also, in this study, modern investment strategies and efficient financing methods for water treatment projects are provided. The results showed that this type of adsorbent is appropriately able to eliminate Cd from water and aqueous solution.}, keywords = {Wastewater,Cadmium removal,Optimization,RSM,Financial feasibility}, url = {https://jhs.scu.ac.ir/article_16688.html}, eprint = {https://jhs.scu.ac.ir/article_16688_dcb08e3975ef36fed0c7304f27f2530a.pdf} } @article { author = {Karamy Moghadam, Amin and Mahdavi Adeli, Mehdi}, title = {Application of Artificial Neural Networks for Seismic Analysis and Design of Buried Pipelines in Heterogeneous Soils}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {60-74}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.35453.1153}, abstract = {Every year, the phenomenon of earthquake causes a lot of human, financial and environmental losses. Transmission pipelines are one of the vital arteries that are very important, however, in the event of an earthquake can cause devastating damages. Safeguarding urban and interurban facilities, including electricity, water supply, oil and gas transmission lines, against these loads requires careful studies and engineering designs. Given that traditional methods for seismic design of pipelines such as FEM modeling and experimental methods are so expensive, a new combined method for predicting the strain of pipes based on the Artificial Neural Network (ANN) is proposed. For this purpose, the parameters of the pipeline including pipe and soil type, length, discharge, path slope, depth, etc. and earthquake-induced characteristics including earthquake acceleration, earthquake occurrence time, Peak ground acceleration (PGA), etc. were included in the model. Earthquake input parameters were considered as input parameters and pipe strains and stresses were considered as output parameter. ANSYS finite element software has also been used to simulate the pipeline and produce training data. The results of finite element software were used as input and output parameters for training and validating artificial neural network. 753 models created using ANSYS and its input/output data divided into three parts to creat ANN model. 70% of the total data were used for training, 15% for validating and 15% for testing the ANN model. Results show that the proposed Method provides a very good agreement with the computational results of the ANSYS with accuracy of 96 percent.}, keywords = {pipeline,Seismic design,Heterogeneous Soil,FEM,ANN}, url = {https://jhs.scu.ac.ir/article_16719.html}, eprint = {https://jhs.scu.ac.ir/article_16719_1d699dfe5007eee8d349a7147c019940.pdf} } @article { author = {Eslaminezhad, Seyed Ahmad and Eftekhari, Mobin and Akbari, Mohammad}, title = {GIS-Based Flood Risk Zoning Based On Data-Driven Models}, journal = {Journal of Hydraulic Structures}, volume = {6}, number = {4}, pages = {75-98}, year = {2020}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2345-413X}, eissn = {2345-4156}, doi = {10.22055/jhs.2021.36629.1163}, abstract = {Increasing the occurrence of floods, especially in cities, and the risks to human, financial, and environmental risks due to its, make flood risk zoning of great importance. The purpose of this study is to estimate the flood risk of the Maneh and Samalghan based on determining effective criteria and spatial and non-spatial data-driven models. The criteria used in this research include Modified Fournier Index, Topographic Position Index, Curve Number, Flow Accumulation, Slope, Digital elevation model, Topographic Wetness Index, Vertical Overland Flow Distance, Horizontal Overland Flow Distance, and Normalized difference vegetation index. The novelty of this study is to present new combination approaches to determine the effective criteria in flood risk zoning (Maneh and Samalghan). In this regard, the geographically weighted regression (GWR) with exponential and bi-square kernels and artificial neural network (ANN) combined with a binary particle swarm optimization algorithm (BPSO). The best value of the fitness function (1-R2) for ANN, GWR with the exponential kernel, and GWR with bi-square kernel was obtained 0.1757, 0.0461, and 0.0097, respectively, Which indicates higher compatibility of the bi-square kernel than the other models. It was also found that the criteria used have a significant effect on the rate of flooding in the study area.}, keywords = {Flood risk,geographically weighted regression,Artificial neural network,binary particle swarm optimization algorithm}, url = {https://jhs.scu.ac.ir/article_16747.html}, eprint = {https://jhs.scu.ac.ir/article_16747_0bb7301d9e9d2a70bc6962954b1f912c.pdf} }