Blar i Scientific Publications in Engineering Sciences på forfatter "Ghorbani Mooselu, Mehrdad"
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Assessing optimal water quality monitoring network in road construction using integrated information-theoretic techniques
Ghorbani Mooselu, Mehrdad; Liltved, Helge; Nikoo, Mohammad Reza; Hindar, Atle; Meland, Sondre (Journal article; Peer reviewed, 2020)The environmental impacts of road construction on the aquatic environment necessitate the monitoring of receiving water quality. The main contribution of the paper is developing a feasible methodology for spatial optimization ... -
Characterization and treatment of tunneling wastewater using natural and chemical coagulants
Ghorbani Mooselu, Mehrdad; Liltved, Helge; Akhtar, Naureen (Peer reviewed; Journal article, 2023)Particles are a concern regarding tunneling wastewater, but gaps remain in understanding metal(loid)s content and coagulation efficiency. In this research, characterization of the wastewaters before and after treatment was ... -
A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty
Yalda Norouzi, Gharakezloo; Mohammad Reza, Nikoo; Ayoub, Karimi-Jashni; Ghorbani Mooselu, Mehrdad (Peer reviewed; Journal article, 2021) -
Network design for surface water quality monitoring in a road construction project using Gamma Test theory
Azadi, Sama; Amiri, Hamid; Ghorbani Mooselu, Mehrdad; Liltved, Helge; Castro-Muñoz, Roberto; Sun, Xun; Boczkaj, Grzegorz (Journal article; Peer reviewed, 2021)Road construction has a negative environmental impact on the surrounding aquatic environment, requiring the continuous monitoring of surface water quality. Here, optimization of the water quality monitoring network (WQMN) ... -
Optimizing Fenton-like process, homogeneous at neutral pH for ciprofloxacin degradation: Comparing RSM-CCD and ANN-GA
Salari, Marjan; Nikoo, Mohammad Reza; Al-Mamun, Abdullah; Rakhshandehroo, Gholam Reza; Ghorbani Mooselu, Mehrdad (Peer reviewed; Journal article, 2022)Antibiotics are considered among the most non-biodegradable environmental contaminants due to their genetic resistance. Considering the importance of antibiotics removal, this study was aimed at multi-objective modeling ...