Research Paper
Modeling discharge coefficient of triangular plan form weirs using extreme learning machine

Ehsan Yarmohammadi; Fariborz Yosefvand; Ahmad Rajabi; Saeid Shabanlou

Volume 6, Issue 2 , July 2019, Pages 80-87

https://doi.org/10.22126/arww.2019.1356

Abstract
  In this paper, for the first time, the discharge coefficient of triangular plan form weirs is simulated by the extreme learning machine (ELM). ELM is one of the powerful and rapid artificial intelligence methods in modeling complex and non-linear phenomena. Compared to other learning algorithms such ...  Read More

Research Paper
Comparison performance of artificial neural network based method in estimation of electric conductivity in wet and dry periods: Case study of Gamasiab river, Iran

Nasrin Abozari; Mohammadreza Hassanvand; Amir Hossein Salimi; Salim Heddam; Hossein Omidvar Mohammadi; Amir Noori

Volume 6, Issue 2 , July 2019, Pages 88-94

https://doi.org/10.22126/arww.2019.1357

Abstract
  The frequent occurrences of wet and dry in the catchment area of the Gamasiab river located in the west of Iran, in addition to affecting the quantitative status of surface water, has caused changes in the water quality of the basin. Therefore, modeling and prediction of Gamasiab river water quality ...  Read More

Research Paper
Multi-objective optimization of water scheduling in irrigation canal network using NSGA-II

Elham Darvishi; Tayebeh Kordestani

Volume 6, Issue 2 , July 2019, Pages 95-99

https://doi.org/10.22126/arww.2020.1358

Abstract
  The objective of distribution and delivery of water canal scheduling in irrigation canal networks is timely and adequate delivery of water with minimum operational stages of the head gate of supply canal in the presence of canal capacity and irrigation rotation period constraints. In this paper, two ...  Read More

Research Paper
Modeling discharge capacity of labyrinth weirs through a learning machine approach

Mohammadali Izadbakhsh; Reza Hajiabadi

Volume 6, Issue 2 , July 2019, Pages 100-108

https://doi.org/10.22126/arww.2019.1395

Abstract
  In this paper, the discharge coefficient of weirs is simulated by the extreme learning machine (ELM). To this end, seven different ELM models are introduced by the input parameters. Also, the most optimal number of the neurons in the hidden layer is computed 7. Furthermore, different activation functions ...  Read More

Research Paper
Optimization of horizontal drain dimensions in heterogeneous earth dams using Artificial Neural Network (ANN): A case study on Marvak dam

Ahmadreza Mazaheri; Mehdi Komasi; Ali Mohammadzadeh; Behrang Beiranvand

Volume 6, Issue 2 , July 2019, Pages 109-116

https://doi.org/10.22126/arww.2019.1403

Abstract
  It is important to design and optimize the dimensions of the dam drainage system to keep the dam's downstream shell dry and to prevent the increase of pore water pressure in the earth dam body. It will also be possible to find the minimum factor of safety (FOS) to reduce construction costs by optimizing ...  Read More

Research Paper
Comparison of the performance of stochastic models in the generation of synthetic monthly flows data: A case study on Marun river

Mostafa Bayesteh; Arash Azari

Volume 6, Issue 2 , July 2019, Pages 117-125

https://doi.org/10.22126/arww.2019.1405

Abstract
  One of the most important issues in planning and managing water resources is the accurate estimation of monthly input discharge of the reservoirs in the future years, which is always associated with uncertainty. To cover these uncertainties, synthetic stream flow data generation models have been used ...  Read More

Research Paper
Spectrophotometric determination of cyanide in aqueous samples after its conversion to thiocyanate and complexation to ferric-thiocyanate

Mohammad Samimifar

Volume 6, Issue 2 , July 2019, Pages 126-130

https://doi.org/10.22126/arww.2019.1410

Abstract
  A simple spectrophotometric method is developed for the determination of traces of cyanide ion in water samples. Toxic cyanide was reacted with sulfur (S8) dissolved in acetone and converted to non-toxic thiocyanate which is more stable than cyanide also. This product was reacted to Fe (III) to form ...  Read More

Research Paper
Influence of process and operating variables on the performance and fouling behavior of modified nanofiltration membranes treating licorice aqueous solution

Fariba Oulad; Sirus Zinadini; Ali Akbar Zinatizadeh; Ali Ashraf Derakhshan

Volume 6, Issue 2 , July 2019, Pages 131-137

https://doi.org/10.22126/arww.2019.1412

Abstract
  The main purpose of this study was to investigate the effect of different operational parameters on performance and fouling trends of unfilled- polyethersulfone, 0.5 wt.% boehmite-polyethersulfone, tannic acid coated boehmite-polyethersulfone nanofiltration membranes during filtration of Licorice aqueous ...  Read More

Research Paper
Synthesis and characterization of Ag-ZnO@Clinoptilolite for photocatalytic degradation of Tetracycline

Sara Hatamzadeh; Narjes Keramati; Mohsen Mehdipour Ghazi

Volume 6, Issue 2 , July 2019, Pages 138-143

https://doi.org/10.22126/arww.2019.1413

Abstract
  In this research, degradation of Tetracycline by Ag doped ZnO based on Clinoptilolite (Ag-ZnO@CP) as photocatalyst was investigated under visible light. To synthesize of photocatalyst, the wetness impregnation method was used. The synthesized photocatalyst was characterized using XRD, FT-IR, SEM, BET ...  Read More

Research Paper
Intensification of Co(II) adsorption from aqueous solution onto Fe3O4/bentonite nanocomposite by high-frequency ultrasound waves

Tahereh Mansouri Jalilian; Neda Azimi; Shahin Ahmadi

Volume 6, Issue 2 , July 2019, Pages 144-149

https://doi.org/10.22126/arww.2019.1414

Abstract
  The effect of ultrasound on cobalt adsorption from aqueous solution onto Fe3O4/Bentonite nanocomposite is investigated. Two layouts of using shaker and sono-separator equipped with ultrasound are considered. The effect of pH on Co(II) ions removal is investigated. Co(II) removal rate increased with increasing ...  Read More

Research Paper
Degradation of Enrofloxacin antibiotic in contaminated water by ZnO/Fe2O3/Zeolite nanophotocatalyst

Simin Shokrolahi; Mehrdad Farhadian; Nila Davari

Volume 6, Issue 2 , July 2019, Pages 150-155

https://doi.org/10.22126/arww.2019.1415

Abstract
  ZnO/Fe2O3/Zeolite nanophotocatalyst was synthesized by sol-gel method, and its performance in degradation of ENR, as one of the most commonly used veterinary antibiotics, is evaluated. The synthesized nanophotocatalyst is characterized by XRD, XRF, FT-IR, FE-SEM, EDX, and BET analyses. According to XRD, ...  Read More

Research Paper
A long-term study of the effects of wastewater on some chemical and physical properties of soil

Sara Habibi

Volume 6, Issue 2 , July 2019, Pages 156-161

https://doi.org/10.22126/arww.2020.4593.1148

Abstract
  Nowadays, reuse of wastewater is widespread to prevail over shortage of water and to fertilize agricultural lands. This study was conducted to investigate effects of wastewater on some chemical and physical properties of soil. For this purpose, two farms were selected. These farms are located in the ...  Read More