by Annette Siakamba  , Mehdi Seraj  and Huseyin Ozdeser

Received: 20 June 2024;  Published: 01 January 2025;  doi: 10.21926/aeer.2501001

Over the years, energy poverty has been seen as a major struggle in Zimbabwe and globally. This paper tries to find the relationship between energy poverty and environmental change. Ecological footprint represents a degradation in this paper. The findings showed an insignificant relationship between renewable energy and ecological footprint in Zimbabwe. This study employs the ARDL technique. This study employs time series data from 1990-2021. This study uses the ARDL framework to get robust results. The ARDL bound [...]

by Hatem Al-Dois  , Farhan Nashwan  , Neil J Rowan  , Amnnah Alhabeeb Shoushan  , Niall O’Brolchain  and Saeed Hamood Alsamhi

Received: 01 August 2024;  Published: 24 December 2024;  doi: 10.21926/aeer.2404028

This proposed FlowingLife framework addresses the challenges of optimizing altered flow regimes in Irish plans and programs to improve Irish aquatic ecosystems' economic and environmental outcomes. The framework uses Artificial Intelligence (AI) techniques to revolutionize flow regime management and decision-making processing, providing sustainable resource allocation, climate change adaptation, and aquatic habitat conservation. The potential of identifying optimization guides thoroughly evaluating Irish Plans, inc [...]

by Jaydev Kumar Mahato  , Shivam Saw  , Brahmdeo Yadav  and Ajay Kumar

Received: 07 August 2024;  Published: 06 December 2024;  doi: 10.21926/aeer.2404027

The present study assessed the spatial distribution of trace elements in the groundwater near the Subarnarekha River Basin - Jamshedpur, India. Half of this city's water need (48.11%) relies on groundwater resources. GIS-based maps were constructed using ArcGIS 10.3 software to describe the spatial distribution of Arsenic (As), Barium (Ba), Cadmium (Cd), Chromium (Cr), Cobalt (Co), Copper (Cu), Iron (Fe), Manganese (Mn), Molybdenum (Mo), Nickel (Ni), Selenium (Se), and Strontium (Sr). The concentration of trace ele [...]

by Marina Maier  , Amela Ajanovic  and Reinhard Haas

Received: 23 June 2024;  Published: 06 December 2024;  doi: 10.21926/aeer.2404026

The transport sector accounts for approximately 25% of CO2-emissions in the EU and Austria, primarily due to passenger car transport powered by fossil fuels. Replacing conventional cars with sustainable alternatives is crucial for reducing emissions, improving air quality, and mitigating climate change while decreasing vehicle kilometers driven. This study analyzes policy strategies for Austria’s road passenger transport sector up to 2050 to determine their potential for significant CO2 reduction. Four scenar [...]

by G.-Fivos Sargentis  , Romanos Ioannidis  , Panayiotis Dimitriadis  , Nikolaos Malamos  , Olga Lyra  , Olga Kitsou  , Matina Kougkia  , Nikos Mamassis  and Demetris Koutsoyiannis

Received: 28 August 2024;  Published: 05 December 2024;  doi: 10.21926/aeer.2404025

The modern globalized civilization is sustained by interactions, trade, the transportation of goods, and energy. Energy self-sufficiency is crucial in rural and disaster-prone areas like North Euboea because dependence on external energy supplies can leave regions vulnerable to supply chain disruptions, price volatility, and geopolitical risks. In such isolated regions, energy independence ensures resilience in natural disasters and economic instability. The alternative to self-sufficiency often involves reliance o [...]

by Clint Sutherland  and Beverly S. Chittoo

Received: 29 July 2024;  Published: 28 November 2024;  doi: 10.21926/aeer.2404024

Global efforts to develop low-cost solutions for the treatment of contaminants in wastewater continue unabated. The conversion of eggshells, a waste material, into a high-value product can be economical and environmentally sustainable. The recent developments in applying eggshells towards the biosorption of contaminants are presented. Eggshells effectively remove pollutants such as metal cations, metal anions, and reactive, basic, and direct dyes. Promising advances in modifying eggshells, elucidating the critical [...]

by Fubara Gift Evans  , Ukoima Hudson Nkalo  , Dokuboba Amachree  and Morufu Olalekan Raimi

Received: 12 May 2024;  Published: 05 November 2024;  doi: 10.21926/aeer.2404023

The study aimed to evaluate the efficacy of various bioremediation approaches on microbial diversity in crude oil-contaminated soil over three to six months in Port Harcourt, Nigeria. The objective was to assess the impact of different bioremediation strategies on microbial populations, particularly focusing on hydrocarbon-utilizing bacteria and fungi. Microbial populations were quantified using serial dilution and microbial count techniques. The vapor phase transfer mechanism was employed to estimate hydrocarbon-u [...]

by Mahmood Haji-Rahimi  , Kiana Bahmanzad  and Hamed Ghaderzadeh

Received: 06 August 2024;  Published: 31 October 2024;  doi: 10.21926/aeer.2404022

Current production and distribution models in agriculture primarily operate based on the 'linear economy' approach. This means that after the exploitation of natural resources and the production of the final product, a significant portion of these resources and products, now contaminated or turned into waste, exit the economic cycle. The circular economy approach in agriculture seeks to reuse waste products and depleted inputs, thereby reducing the intensity of resource exploitation and taking a step towards sustai [...]

by Ana Teresa Rodrigues de Sousa  , Gustavo Coxev Wolski  , Max Filipe Silva Gonçalves  and Marcos Paulo Gomes Mol

Received: 16 May 2024;  Published: 21 October 2024;  doi: 10.21926/aeer.2404021

Using thermal treatment in the waste management process has advantages such as reducing volume and the possibility of energy recovery. There are several incineration technologies with different characteristics and potential. Incineration, however, requires efficient environmental control to reduce associated risks, such as the emission of harmful compounds. The paper aims to compare solid waste treatment processes in grate and fluidized bed incinerators based on technical and environmental characteristics. For this [...]

by Fuad Bin Nasir  and Jin Li

Received: 30 July 2024;  Published: 17 October 2024;  doi: 10.21926/aeer.2404020

Increasing urban wastewater and rigorous discharge regulations pose significant challenges for wastewater treatment plants (WWTP) to meet regulatory compliance while minimizing operational costs. This study explores the application of several machine learning (ML) models specifically, Artificial Neural Networks (ANN), Gradient Boosting Machines (GBM), Random Forests (RF), eXtreme Gradient Boosting (XGBoost), and hybrid RF-GBM models in predicting important WWTP variables such as Biochemical Oxygen Demand (BOD), Tot [...]