International journal of environmental science and development 

About: International journal of environmental science and development is an academic journal published by EJournal Publishing. The journal publishes majorly in the area(s): Environmental science & Wastewater. It has an ISSN identifier of 2010-0264. It is also open access. Over the lifetime, 1129 publications have been published receiving 9157 citations. The journal is also known as: IJESD.

Synthesis and Properties of Fe3O4 Nanoparticles by Co-precipitation Method to Removal Procion Dye

Abstract: Fe3O4 (magnetite) nanoparticles were synthesized by chemical co-precipitation method. The structure, morphology and magnetic properties of as-prepared were characterized by X Ray Diffraction (XRD), Scanning Electron Microscope-Energy Dispersive X Ray Spectrometry (SEM-EDS), Transmission Electron Microscope (TEM) and Vibrating Sample Magnetometer (VSM). The result of XRD characterization was indicated Fe3O4 as the product. SEM and TEM image of the Fe3O4 showed nanoparticles Fe3O4 have the mean diameter 5-20 nm. The EDS spectra showed strong peaks of Fe and O. Magnetic characteristic of Fe3O4 nanoparticles was indicated super paramagnetic properties. The saturation magnetic was 89.46 emu g-1. Therefore, the nanoparticles Fe3O4 is suitabe to remove dye in the water by a simple magnetic separation process. The optimum adsorption occurred at initial concentration of procion dye 100 mg L-1, pH solution 6, dosage of Fe3O4 0.8 g L-1 and contact time 30 minutes under room temperature with color removal 24.40 % and adsorption capacity was 30.503 mg g-1

An Efficient Weather Forecasting System using Artificial Neural Network

Abstract: Temperature warnings are important forecasts because they are used to protect life and property. Temperature forecasting is the application of science and technology to predict the state of the temperature for a future time and a given location. Temperature forecasts are made by collecting quantitative data about the current state of the atmosphere. In this paper, a neural network-based algorithm for predicting the temperature is presented. The Neural Networks package supports different types of training or learning algorithms. One such algorithm is Back Propagation Neural Network (BPN) technique. The main advantage of the BPN neural network method is that it can fairly approximate a large class of functions. This method is more efficient than numerical differentiation. The simple meaning of this term is that our model has potential to capture the complex relationships between many factors that contribute to certain temperature. The proposed idea is tested using the real time dataset. The results are compared with practical working of meteorological department and these results confirm that our model have the potential for successful application to temperature forecasting. Real time processing of weather data indicate that the BPN based weather forecast have shown improvement not only over guidance forecasts from numerical models, but over official local weather service forecasts as well. Index Terms—Multi layer perception, Temperature forecasting, Back propagation, Artificial Neural Network

Environmental Impact of Leachate Pollution on Groundwater Supplies in Akure, Nigeria

Abstract: Physical, chemical and bacteriological analyses of water samples from three boreholes located near a landfill at Akure, Nigeria was carried out to ascertain the magnitude of dumpsite pollution on groundwater quality. Borehole locations were at radial distances of 50m, 80m, and 100m respectively away from the landfill. The parameters determined included; turbidity, temperature, pH, Dissolved oxygen (DO), total dissolved solids (TDS), Total Hardness, Total Iron, Nitrate, Nitrite, Chloride, Calcium and heavy metals such as Copper, Zinc and Lead using convectional equipment and standard laboratory procedures. Most of these parameters indicated traceable pollution but were below the World Health Organization (WHO) and the Nigerian Standard for Drinking water quality (NSDWQ) limits for consumption. The pH ranged from 5.7 to 6.8 indicating toxic pollution, turbidity values were between 1.6 and 6.6 NTU and temperature ranged from 26.5 to 27.50C. Concentrations of iron, nitrate, nitrite and calcium ranged from 0.9 to 1.4 mg L-1, 30 to 61 mg L-1, 0.7 to 0.9 mg L-1 and 17 to 122 mg L-1 respectively. For heavy metals, zinc ranged between 0.3 and 2.3 mg L-1 and lead ranged from 1.1 to 1.2 mg L-1. The landfill was not directly responsible for the presence of Chromium in one of the wells but could be traced to an abattoir near the well. Bacteriological examinations revealed severe pollution in all the wells. Statistical analyses indicated significant differences among all the parameters tested for in the samples at 95% level. The results showed that all but one of the boreholes was strongly polluted but require urgently certain levels of treatment before use. Public enlightenment on waste sorting, adoption of clean technology, using climate change mitigation strategies and the use of sanitary landfill to prevent further contamination of ground water flow are recommended.

FTIR Analysis for Quantification of Fatty Acid Methyl Esters in Biodiesel Produced by Microwave-Assisted Transesterification

Abstract: Biodiesel was produced by microwave-assisted transesterification of soybean oil with methanol as esterifying agent and sodium methoxide as catalyst. Fourier transform infrared spectroscopy was employed as a fast and reliable analytical technique for the quantification of fatty acid methyl ester content in the produced biodiesel. The quantification was done with the use of a partial least squares model developed based on the infrared spectra obtained. It was shown that microwave irradiation is capable of reducing the reaction time when compared to conventional mechanically stirred reactors used for biodiesel production. In addition, quantification of fatty acid methyl ester content in biodiesel by Fourier transform infrared spectroscopy coupled to multivariate statistics was demonstrated feasible.