Ayşegül Yağmur Gören

Bio: Ayşegül Yağmur Gören is an academic researcher from İzmir Institute of Technology. The author has contributed to research in topics: Arsenic & Arsenate. The author has an hindex of 6, co-authored 23 publications receiving 101 citations. Previous affiliations of Ayşegül Yağmur Gören include Gebze Institute of Technology.

Arsenite and arsenate removals from groundwater by electrocoagulation using iron ball anodes: Influence of operating parameters

Abstract: Removals of arsenite (As(III)) and arsenate (As(V)) from groundwater by a cylindrical packed-bed electrocoagulation (EC) reactor using Fe ball anodes were investigated in this study. Effects of some operating parameters such as initial pH (pHi of 6.5–8.5), applied current (i of 0.075–0.30 A), initial concentration (Co of 30–200 μg/L), diameter of iron ball (dp of 5.0–10.0 mm), height of anode balls in the reactor (h of 2–8 cm) and airflow rate (Qair of 0.0–6.0 L/min) on the removal efficiency of arsenic were evaluated. The removal efficiency of arsenic decreased with increase in concentrations of arsenic from 30 to 200 μg/L while its removal efficiency increased with increase in operating time, applied current, height of anode in the reactor, and airflow rate. The optimum operating conditions for effective As(III) and As(V) removals to meet the permissible level of arsenic effluent concentration of

Arsenite removal from groundwater in a batch electrocoagulation process: Optimization through response surface methodology

Abstract: In this study, influences of seven process variables such as initial pH (pHi), applied current (i), operating time (tEC), initial As(III) concentration (Co), diameter of Fe ball anode (dp), column ...

A review on decontamination of arsenic-contained water by electrocoagulation: Reactor configurations and operating cost along with removal mechanisms

Abstract: Pollution of water resources by arsenic (As) that originates from both natural and anthropogenic sources is a serious matter causing health problems to millions of people worldwide due to the toxic effects of this ionic pollutant. To attain conformity with strict Maximum Contaminant Level (MCL) of As (10 μ g/L), electrocoagulation (EC) is considered as an advantageous process for the removal of As because of high removal efficiency, simplicity, cost-effectiveness, feasibility of small scale operations and lower chemical requirement in comparison with other treatment processes. In this regard, this review discusses the applications and performance results of EC process for arsenic removal, taking into account the drawbacks and limitations of EC technologies. The mechanism and theoretical aspects of arsenic removal by EC was reviewed with details. The effects of operational parameters on the efficiency of EC process, including current density, charge loading and initial pH, as well as reactor configurations and operating cost of the process were reviewed. The amount of sludge produced during EC process, characterization and disposal methods were investigated and the simultaneous removal of As with other contaminants from water presented. Furthermore, examples of pilot and full-scale applications of EC for the removal of arsenic were provided. Concluding remarks and outlook of this field of study with respect to new areas of research are also discussed.

Wearable multi-sensor system for embedded body position and motion analysis during cycling

Abstract: Purpose: The purpose of this study was to validate the AREM system in laboratory conditions. AREM is an embedded electronic system for motion tracking and movement analysis, based on Micro Electro Mechanical Systems (MEMS) sensors and a reconfigurable hardware/software electronic architecture including FPGA + PSoC embedded boards for real time acquisition and signal processing. Methods: AREM sensors were installed on cyclist before performing on a test in which other measurements were made to analyse efficiency of standing position. The position of cyclists during whole test was measured by both AREM and a Kinematic Arm and verified by video systems. The protocol included 13 elite participants on a motorised treadmill with their own bike during which they rode in a randomized order seated vs. standing positions with several slopes (5, 7.5 and 10%) and intensities (3.8, 4.2 and 4.6 W.kg-1). GE was calculated for each condition using the ratio of power output (PO) measured with a Powertap G3 hub (CycleOps, Madison, USA) and the oxygen uptake (VO2) measured with a portable gas analyzer (Metamax 3B, Cortex, Leipzig, Germany). Results & Discussion: The synchronised data of 8 inertial sensors was retrieved and combined to obtain joint positions of shoulders (2), waist (3), middle and lower trunk (2) on cyclist. 1 sensor was installed under the saddle of the bike. The position data was compared between the two systems, and result on validation of AREM for 3-axis displacements (up to 40cm on X axis). We also compared the accelerations (+/- 2 m.s-2 seated to +/- 6 m.s-2 in standing position, errors up to 10% between both systems), power and energies for each cyclist during test steps (kinetic energies variation from 1.1 J/Kg to 3 J/Kg in a pedal stroke). Moreover, the acceleration and orientation data on cyclist and bike revealed different approaches on effort management during the test, and were compared to videos to obtain sensors data according to different “standing position” techniques. This data is an interesting indicator of the cyclist fatigue during a test, and is being crossed with PO and VO2 data. Conclusion: The validation of AREM system offers the possibility to extend our measures on real cycling locomotion in outdoor conditions, replacing the kinematic arm with AREM.Despite the 3D movement analysis of the cyclist on a standard protocol, first results suggest a position adjustment according to the technique of each cyclist, but also an impact of the mechanical response of the system tires-bike frame. The main perspective of these works is to include the Structure Health Monitoring analysis (SHM) on bike and to synchronise it with the cyclist activity and motion analysis during outdoor training. With both data, we expect to develop a reliable monitoring and optimisation system of the bike-cyclist couple in different course conditions.

Industrial wastewater treatment by electrocoagulation process

Abstract: Treatment of wastewater from industries for meeting the effluent discharge standards is a challenging task. Electrochemical methods, especially electrocoagulation (EC) process received great attent...