Welcome Prof. Shuanggen Jin, Editor-in-Chief of JEES, to the Journal Development Seminar!
2023-11-27
Journal of Environmental & Earth Sciences
ISSN: 2661-3190 (Online)
Vol. 5 , Iss. 1 (April 2023)
Articles
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Impact of River Water Quality on Public Health in Perspective of Asian Rivers: A Case Study of Buriganga River, Bangladesh
A.B.M. Kamal Pasha
, Mustafe Said Nur, Sagar Mozumder, Mahfuza Parveen
1-16
Article ID: 5132 DOI：https://doi.org/10.30564/jees.v5i1.5132
340 (Download)
Abstract: Water pollution is one of the current global problems. So many countries are suffering from this problem specifically most South Asian and Southeast Asian countries, and Bangladesh is one of those countries that are suffering from water pollution. Furthermore, the city of Bangladesh, Dhaka is one of the most densely populated cities in the world... More
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Quantum Atmospheric Biophysics: A Comparison of Four Weather Stations in India on Average Monthly Temperatures Since 1892 and Forecasts to 2150
Mazurkin Peter Matveevich
17-32
Article ID: 4942 DOI：https://doi.org/10.30564/jees.v5i1.4942
100 (Download)
Abstract:
The identification method revealed asymmetric wavelets of dynamics, as fractal quanta of the behavior of the surface air layer at a height of 2 m, according to the average monthly temperature at four weather stations in India (Srinagar, Jolhpur, New Delhi and Guvahati). For Srinagar station, the maximum for all years is observed in July, for... More
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Source, Contamination Assessment and Risk Evaluation of Heavy Metals in the Stream Sediments of Rivers around Olode Area SW, Nigeria
65-84
Article ID: 5060 DOI：https://doi.org/10.30564/jees.v5i1.5060
113 (Download)
Abstract:
In order to investigate the source, contamination, and risk of heavy metals such as Pb, Zn, Cu, Ni, Co, Fe, Mn, and Cr, twelve (12) stream sediments and ten (10) rock samples were collected from pegmatite mining sites at Olode and its environs inside Ibadan, Southwestern Nigeria. The average values and order of abundance obtained followed the... More
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Statistical Characteristics of the Temporal Spectrum of Scattered Radiation in the Equatorial Ionosphere
George Jandieri, Nika Tugushi
85-94
Article ID: 5442 DOI：https://doi.org/10.30564/jees.v5i1.5442
89 (Download)
Abstract:
On the basis of the solution of the space-time characteristic system by the method of geometric optics using symbolic calculations, analytical and numerical simulation of the propagation of the ordinary and extraordinary radio waves in the conducting equatorial ionospheric plasma was made considering the anisotropy of plasma irregularities and non-stationary nature of propagation medium. Broadening... More
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Landfill Site Suitability Assessment Using Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) in Butuan City, Philippines
Francis Jhun T. Macalam, Kaleb P. Arreza, Angelica T. Magpantay, Kristine Y. Rabaño
95-107
Article ID: 5381 DOI：https://doi.org/10.30564/jees.v5i1.5381
198 (Download)
Abstract:
Landfilling is one of the most effective and responsible ways to dispose of municipal solid waste (MSW). Identifying landfill sites, however, is a challenging and complex undertaking because it depends on social, environmental, technical, economic, and legal issues. This study aims to map the optimal sites that were environmentally suitable for locating a landfill site in... More
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Domestic Wastewater Treatment through the Application of Corchuros olitorius L. as Bio-Coagulant in Cagayan de Oro City, Philippines
Gina C. Lacang, Corazon V. Ligaray
108-120
Article ID: 5593 DOI：https://doi.org/10.30564/jees.v5i1.5593
356 (Download)
Abstract:
This research paper presented the potential of Corchuros olitorius L. as a natural coagulant in the removal of turbidity, total suspended solids, and biochemical oxygen demand from the domestic wastewater of the University of Science and Technology of Southern Philippines. Optimization of the natural coagulant and synthetic coagulant was employed prior to the treatment design. The jar... More
Review
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Deep Learning Methods Used in Remote Sensing Images: A Review
Ekram M. Rewhel, Jianqiang Li, Amal A. Hamed, Hatem M. Keshk, Amira S. Mahmoud, Sayed A. Sayed, Ehab Samir, Hind H. Zeyada, Sayed A. Mohamed, Marwa S. Moustafa, Ayman H. Nasr, Ashraf K. Helmy
33-64
Article ID: 5232 DOI：https://doi.org/10.30564/jees.v5i1.5232
173 (Download)
Abstract:
Undeniably, Deep Learning (DL) has rapidly eroded traditional machine learning in Remote Sensing (RS) and geoscience domains with applications such as scene understanding, material identification, extreme weather detection, oil spill identification, among many others. Traditional machine learning algorithms are given less and less attention in the era of big data. Recently, a substantial amount of... More