Sumerianz Journal of Scientific Research

    
Online ISSN: 2617-6955
Print ISSN: 2617-765X

Quarterly Published (4 Issues Per Year)

Journal Website: https://www.sumerianz.com/?ic=journal-home&journal=29

Archive

Volume 5 Issue 1 (2022)

Implication of Landscape Changes Using Google Earth Historical Imagery in Yenagoa Bayelsa State, Nigeria

Authors : Abaye Ebinyo Oreikio ; Ayowei Alvin Harry ; Akajiaku Ugochukwu Charles ; Eteh Desmond Rowland
DOI : doi.org/10.47752/sjsr.51.20.31
Abstract:
Assessment and impact on the environment of dumpsites investigated between 1990 and 2015 and 2015 to 2020 in Yenagoa, Bayelsa State, Nigeria, using Remote Sensing and Geographical Information Systems (GIS) are used to evaluate landscape change from Google Earth Historical Imagery (GIS). Historical Google Earth imagery shows an increase from 1900 to 2015, and again from 2015 to 2020, due to an increase in built-up areas, which resulted in illegal dumpsites in the environment, implying an increase in population due to migration and industrial activities in the area. Six soil samples were collected from illegal dumpsites and one from a control location and analysed for heavy metal ions. The Fe, Mn, Cr, Cu, Zn, Ni, Cd, and Pb concentrations were determined using the atomic absorption spectrometer. All of the illegal dumpsites were discovered to be located along the market area, close to Epie Creek and the pound. Furthermore, the pollution load index (PLI) and contamination factor (CF) results show that heavy metal pollution is present in the area. As a result, it is recommended that urban growth be tracked in order to plan ahead of time for various dumpsite locations, and that site suitability studies for landfill selection sites be made available using GIS and remote sensing-based Multi-Criteria Evaluation. Combining remote sensing and GIS, according to the study, could be an effective approach to landscape planning and environmental improvement.

Pages: 20-31

Potential Role of Nanomaterial’s In Oil and Gas Industry: Review on Downstream Stream Processing

Authors : Navneet Kaur ; Jyoti Rana ; Omprakash Sahu
DOI : doi.org/10.47752/sjsr.51.13.19
Abstract:
Nanotechnology is the modern way of developing the products, which results the high efficiency of nanomaterial’s use in the hydrocarbon recovery processes. Due to unique physico-chemical properties of nonmaterial have lead to their application in the field of petroleum processing industries, such as exploration, reservoir characterization, drilling, cementing, production and stimulation, enhanced oil recovery (EOR), refining and processing. In this review applications of nanotechnology through nano-catalysis in petro-refining processes, recent development of nonmaterial’s were summarized. Finally, an outlook on the current challenges and some prospects for the future applications is also highlighted.

Pages: 13-19

The Use of Artificial Intelligence for Image Processing of Crack Patterns in Panel Painting

Authors : Mohammad Yaghoub Abdollahzadeh Jamalabadi 
DOI : doi.org/10.47752/sjsr.51.1.12
Abstract:
In today world the image processing tools serve as a tool to study the various aspects of an image. In this study the purpose is to study the crack patterns in panel painting. First the cracks are extracted from a painting. Then it simplified with a line and a system of lines and the points of cross overs are studied as a model of crack pattern in that painting. Finally, the type of each cross points (X, Y or O), statics of line lengths and orientation, and crack island area are reported. The artificial intelligence is used for estimation of evolution of crack pattern is done based on continuation of end points and separating the big island to the smaller in load direction.

Pages: 1-12