ORCID Profile
0000-0002-4959-6584
Current Organisation
Universiti Sains Malaysia Kampus Kejuruteraan
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Publisher: Springer Nature Switzerland
Date: 2023
Publisher: Author(s)
Date: 2017
DOI: 10.1063/1.5002224
Publisher: EDP Sciences
Date: 2017
Publisher: Trans Tech Publications, Ltd.
Date: 05-2016
DOI: 10.4028/WWW.SCIENTIFIC.NET/MSF.857.519
Abstract: The research works involve the study of removal of cadmium and zinc contaminations in landfill leachate by electrocoagulation process. This project focused on leachate landfill from Pulau Burung, Nibong Tebal, Penang as an electrolyte solution. Heavy metals are the main factor contributing to pollution in leachate landfill. Types of electrodes used in this study were aluminium (grade 5052) and Stainless Steel (grade 316). The ranges of initial pH applied were pH (3, 4, 5, 6 and 7) and voltages applied were 1.5V, 2.0V and 2.5V. At the end of electrocoagulation process, the solutions were stored and analysed usingatomic absorption spectroscopy (AAS) to determine the final concentration of electrolyte solution. It was found difference electrodes have difference effectiveness in removing heavy metals, relies on the types of electrodes (aluminium or stainless steel) and also types of heavy metals that were being treated. The initial pH also gives the significant effect to removal of heavy metal and the maximum voltages give higher removal of heavy metal. Removal of cadmium and zinc by stainless steel electrode was more effective than aluminium electrodes at voltage of 2.5V. The removal using stainless steel was 22.45% and 97.54% respectively. For removal using aluminium electrodes 18.37% and 92.12% respectively. It was found that the maximum voltages give higher removal of heavy metal for all removal of cadmium and zinc. The removal maximum when the applied voltage was 2.5V and minimum at 1.5V.
Publisher: MDPI AG
Date: 28-10-2022
Abstract: Ground-level ozone (O3) is a significant source of air pollution, mainly in most urban areas across the globe. Ground-level O3 is not emitted directly into the atmosphere. It results from photo-chemical reactions between precursors and is influenced by weather factors such as temperature. This study investigated the spatial and temporal analysis of ground-level ozone and analyzed the significant anthropogenic precursors and the weather parameters associated with ground-level ozone during daytime and nighttime at three cities in peninsular Malaysia, namely, Kuala Terengganu, Perai, and Seremban from 2016 to 2020. Secondary data were acquired from the Department of Environment (DOE), Malaysia, including hourly data of O3 with trace gases and weather parameters. The secondary data were analyzed using temporal analysis such as descriptive statistics, box plot, and diurnal plot as well as spatial analysis such as contour plot and wind rose diagram. Spearman correlation was used to identify the association of O3 with its precursors and weather parameters. The results show that a higher concentration of O3 during the weekend due to “ozone weekend effects” was pronounced, however, a slightly significant effect was observed in Perai. The two monsoonal seasons in Malaysia had a minimal effect on the study areas except for Kuala Terengganu due to the geographical location. The diurnal pattern of O3 concentration indicates bimodal peaks of O3 precursors during the peak traffic hours in the morning and evening with the highest intensity of O3 precursors detected in Perai. Spearman correlation analysis determined that the variations in O3 concentrations during day and nighttime generally coincide with the influence of nitrogen oxides (NO) and temperature. Lower NO concentration will increase the amount of O3 concentration and an increasing amount of O3 concentration is influenced by the higher temperature of its surroundings. Two predictive models, i.e., linear (multiple linear regression) and nonlinear models (artificial neural network) were developed and evaluated to predict the next day and nighttime O3 levels. ANN resulted in better prediction for all areas with better prediction identified for daytime O3 levels.
No related grants have been discovered for mohd remy rozainy mohd arif zainol.