EER :: Environmental Engineering Research

Prediction of Transformer Oil Temperature Based on an Improved PSO Neural Network Algorithm

Zhiyan Zhang, Weihan Kong, Linze Li, Hongfei Zhao, Chunwen Xin

Recent Advances in Electrical & Electronic Enginee.2024; 17(1): 29. CrossRef

The Removal of As(III) Using a Natural Laterite Fixed-Bed Column Intercalated with Activated Carbon: Solving the Clogging Problem to Achieve Better Performance

Régie Dimanche Ouedraogo, Corneille Bakouan, Abdoul Karim Sakira, Brahima Sorgho, Boubié Guel, Touridomon Issa Somé, Anne-Lise Hantson, Eric Ziemons, Dominique Mertens, Philippe Hubert, Jean-Michel Kauffmann

A review: The state-of-the-art of arsenic removal in wastewater

Nur Hafizah Ab Hamid, Ahmad Ilyas Rushdan, Abu Hassan Nordin, Mohd Nor Faiz Norrrahim, Siti Nur Husna Muhamad, Muhamad Iqbal Hakim Mohd Tahir, Nur Sara Batrishia Rosli, Nurin Hudanie Mohd Pakrudin, Azreen Syafiqah Roslee, Muhammad Rizal Muhammad Asyraf, V

Facile auto-combustion synthesis of calcium aluminate nanoparticles for efficient removal of Ni(II) and As(III) ions from wastewater

Hossam S. Jahin, Magdy I. Kandil, Mostafa Y. Nassar

Environmental Technology.2023; 44(17): 2581. CrossRef

Artificial intelligence models for predicting calcium and magnesium removal by polyfunctional ketone using ensemble machine learners

Investigating micellar-enhanced ultrafiltration (MEUF) of mercury and arsenic from aqueous solution using response surface methodology and gene expression programming

Separation and Purification Technology.2022; 281: 119880. CrossRef

Application of data-driven machine learning to predict propranolol and trimethoprim removal using a managed aquifer recharge system

Muhammad Yaqub, Soohyung Park, Eman Alzahrani, Abd-ElAziem Farouk, Wontae Lee

Journal of Environmental Chemical Engineering.2022; 10(1): 106847. CrossRef

Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models

Journal of Water Process Engineering.2022; 46: 102521. CrossRef

Arsenic removal from groundwater using acid-activated laterite

Sarthak Karki, Haribansha Timalsina, Sagar Budhathoki, Sanchita Budhathoki

Groundwater for Sustainable Development.2022; 18: 100769. CrossRef

Trend analysis of temperature data using innovative polygon trend analysis and modeling by gene expression programming

Environmental Monitoring and Assessment.2022;[Epub] CrossRef

Toxicity, Environmental Monitoring and Removal Strategies of Arsenic

Akshay Pawar, Simranjeet Singh, Praveen Chandra Ramamurthy, Amith G. Anil, Nabila Shehata, Daljeet Singh Dhanjal, Tandreborekaval Swamy Sunil Kumar Naik, Parul Parihar, Ram Prasad, Joginder Singh

International Journal of Environmental Research.2022;[Epub] CrossRef

A Combined CFD-Response Surface Methodology Approach for Simulation and Optimization of Arsenic Removal in a Fixed Bed Adsorption Column

Zulfiqar Ali Solangi, Inamullah Bhatti, Khadija Qureshi

Predictive modeling of pharmaceutical product removal by a managed aquifer recharge system: Comparison and optimization of models using ensemble learners

Muhammad Yaqub, Nguyen Mai Ngoc, Soohyung Park, Wontae Lee

Journal of Environmental Management.2022; 324: 116345. CrossRef

Optimization of hypochlorous acid generation by HCl electrolysis through response surface methodology and artificial neural networks

Journal of Environmental Chemical Engineering.2021; 9(5): 105826. CrossRef

Inorganic anion removal using micellar enhanced ultrafiltration (MEUF), modeling anion distribution and suggested improvements of MEUF: A review

Ming Chen, Chad T. Jafvert, Yichen Wu, Xiaoqiang Cao, Nicholas P. Hankins

Chemical Engineering Journal.2020; 398: 125413. CrossRef