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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Hao Yi, Xiaolin Chen, Zewei Liu, Hongxia Xi, Zecong Ding, Kai Cui and Yongyou Hu
Chlorinated polyfluoroalkyl ether sulfonates (F-53B) were often used as mist suppressants in the chrome plating industry, resulting in the large discharge of F-53B-containing electroplating wastewater into the aquatic environment. Due to the high toxicit...
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Fatemeh Mollaamin and Majid Monajjemi
Carbon dioxide (CO2) adsorption on decorated graphene (GR) sheets with transition metals (TMs) including iron, nickel and zinc was investigated for removing this hazardous gas from the environment. TM-doped GR results in higher activity toward gas detect...
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Ebenezer O. Oluwasakin and Abdul Q. M. Khaliq
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and m...
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Han Wang, Ping-an Zhong, Ervin Zsoter, Christel Prudhomme, Florian Pappenberger and Bin Xu
Our paper aims to improve flood forecasting by establishing whether a global hydrological forecast system could be used as an alternative to a regional system, or whether it could provide additional information. This paper was based on the operational Gl...
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Susen Shrestha, Mattia Zaramella, Mattia Callegari, Felix Greifeneder and Marco Borga
This study aims to evaluate the potential of ERA5 precipitation and temperature reanalysis for snow water equivalent (SWE) simulation by considering the role of catchment spatial scale in controlling the errors obtained by comparison with corresponding S...
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Yonas Abebe Balcha, Andreas Malcherek and Tena Alamirew
Climate change makes the climate system of a given region unpredictable and increases the risk of water-related problems. GCMs (global climate models) help in understanding future climate conditions over a given region. In this study, 12 GCMs from the CM...
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Yuan Chen and Abdul Q. M. Khaliq
The Lee?Carter model could be considered as one of the most important mortality prediction models among stochastic models in the field of mortality. With the recent developments of machine learning and deep learning, many studies have applied deep learni...
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Mohammed Renima, Ayoub Zeroual, Yasmine Hamitouche, Ali Assani, Sara Zeroual, Ahmed Amin Soltani, Cedrick Mulowayi Mubulayi, Sabrina Taibi, Senna Bouabdelli, Sara Kabli, Allal Ghammit, Idris Bara, Abdennour Kastali and Ramdane Alkama
The role of climate change in future streamflow is still very uncertain, especially over semi-arid regions. However, part of this uncertainty can be offset by correcting systematic climate models? bias. This paper tries to assess how the choice of a bias...
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Mohamed Abatal, M. T. Olguin, Ioannis Anastopoulos, Dimitrios A. Giannakoudakis, Eder Claudio Lima, Joel Vargas and Claudia Aguilar
In this work, biomass obtained from seeds (S-MO) and leaves (L-MO) of the Moringa oleifera plant were used as low-cost biosorbents to remove the Pb(II), Cd(II), Co(II), and Ni(II) from aqueous solutions. The biosorption of the heavy metal ions was done u...
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