Hemavathi Sundaram
@krct.ac.in
Assistant Professor and Civil Engineering
K.Ramakrishnan College of Technology, Trichy
Professor
RESEARCH INTERESTS
Civil Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
<p>Researchers have been focusing on protecting water quality and preventing environmental contamination caused by industrial discharge of heavy metals. Various methods have been explored for extracting these metals from wastewater, but they often prove to be costly and rely on non-renewable resources. Adsorption, however, offers a promising solution due to its stability, affordability, and ease of implementation. In this research, continuous biosorption tests were conducted using a glass column filled with Sargassum Wightii (SW) seaweed, with Pb(II) ions used as a model solute. Varying bed heights (15-25cm) and flow rates (0.3-0.6 L/hr) in the column tests aimed to maximize biosorption efficiency. The optimal conditions for metal uptake and removal were a bed height of 25cm and a flow rate of 0.3L/hr, resulting in Sargassum Wightii adsorbing 41.17mg/g of metals with a removal efficiency of 69.07%. The Modified dose-response model effectively characterized Pb(II) biosorption at different bed heights and flow rates. Column regeneration studies demonstrated breakthrough and sorption within 2 hours, complete depletion at 24 hours, and an elution efficiency of 99.2% using 0.1M NaOH, allowing for up to three cycles of biosorbent reuse.</p>
A. El–marghany.
University of the Aegean
<p>Tamarindus indica shell biochar is employed as an alternate adsorbent precursor for the removal of heavy metal ions from aqueous solutions. It investigated the Tamarindus indica shell biochar's capacity to absorb chromium (Cr), copper (Cu), and Lead (Pb). This study showed the extensive explored how biosorption experimental limitations counting primary metal attentiveness, adsorbent dosage, temperature, and contact time affect the process. The complete analysis of the Tamarindus indica shell's adsorption capability with respect to chromium, copper, and nickel removal was conducted using a batch adsorption procedure. Determining the amount of heavy metal removal in the aqueous solution proceeded by Gas Chromatography (GC). The experimental data analyzed using the Yoon Nelson and Thomson models to regulate the equilibrium isotherms. The optimal parameters for the overall adsorption model were determined by using ANOVA. Investigate the adsorbent's surface area to determine the presence of heavy metal presents using SEM, XRD, and FTIR techniques. Each researched heavy metal's adsorption capability is listed below: Cr = 6.07 mg/L, Cu = 5.53 mg/L and Pb = 5.497mg/L with a removal percentage of 64%, 92% and 78%, respectively. The results showed that biochar generated from Tamarindus indica shells is an effective adsorbent for removing copper from aqueous solutions but not a viable biosorbent for removing chromium. Also, the regenerated column's adsorption capability was examined. The outcomes of the research demonstrated that bio-char, which produced from Tamarindus indica shell can be employed as an efficient and reasonably priced adsorbent to remove heavy metal ions from aqueous solutions.</p>
S. Thiru, Hina Hashmi, S Hemavathi, Daxa Vekariya, Arvind Kumar Pandey, and Wael M. F. Abdel-Rehim
IEEE
Millions many sensors will be connected to the Internet via the Networks of Things (IoT), enabling new mobile cloud technologies and products. With the introduction of IoT, future Internet of Vehicle (IoV) will replace the present Auto Informal Services (Van - to - Driver), where customers may place orders for various services by integrating their cars, sensors, and tablets to a huge network. Vehicular Cloud Computing (VCC) is merely being imagined with the goal of supplying traffic services that enhance our daily traveling in order to provide Routes with broadband service. These plans include resources and support the expansion of the Internet of Things (IoT), which is a crucial component of IoV. The utilization of Vehicular Cloud (VC), however, is necessary for ITS (Intelligent Transportation System) to properly support a top travel service (VC). In order to acquire data for the benefit of ITS, we integrate the novel VCC technique in this study. We show via modeling results that a flexible VC may provide useful data collection with just a small percentage of autos involved.
S. Hemavathi and R. Manjula
Technoscience Publications
Information of interactions between waves and aquatic vegetation is becoming increasingly important, in particular, due to the trend of plant-induced wave attenuation towards sustainable coastal management systems. This study aims to understand monotypic vegetation-wave interactions through three-level, four factors, response surface methodology (RSM) using laboratory wave flume under controlled conditions. Cymodocea Serrulata is one of the prevalent monotypic seagrass species found in the Gulf of Mannar, Tamilnadu, South India. It was physically simulated using synthetic plant imitations to create a relationship between wave attenuation (E%) and four direct control factors, i.e., water depth (h), wave period (T), plant density (N) and bed roughness factor (f) using an empiric model. The model developed was tested using the analysis of variance technique (ANOVA) and evaluated for the main and interaction effects of the studied parameters. The findings showed that both individually and in combination, all of the parameters considered were significantly effective on E%. All modelbased findings were compared with a new collection of experimental data and validation tests were performed. The comparison of experimental results with model predictions was at a good agreement with a high coefficient of determination (R2) of 0.98 (with p-value < 0.05).
S. Hemavathi and R. Manjula
Current Science Association
Understanding of the interactions between wave and aquatic vegetation is gaining importance mainly due to plant-induced wave attenuation phenomenon for developing sustainable coastal management systems. Most of the wave–vegetation interaction studies focus mainly on monotypic coastal plant meadows; however, studies on heterospecific plant meadows are limited. The present study is aimed to understand the heterospecific vegetation–wave interactions through a threelevel, four-factor response surface methodology using wave flume under controlled conditions. Heterospecific seagrass species, Halophila spinulosa and Halophila ovalis are simulated physically by means of synthetic plant mimics to develop a relationship between wave attenuation (E%) and four direct control factors, viz. water depth (h), wave period (T), plant density (N) and bed roughness factor ( f ) through an empirical model. The developed model was tested using analysis of variance technique, and analysed for main and interaction effects of the studied parameters. The results showed that all the considered parameters are significantly effective on E% individually as well as in combination. All the model-based results were compared with a new set of experimental data and tested for validation.
S. Hemavathi, A. Sumil Kumaran, and R. Sindhu
Elsevier BV
S. Hemavathi, R. Manjula, and N. Ponmani
Springer Singapore