Browsing 1 USN ansatte by Journals "Water"
Now showing items 1-10 of 10
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A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
(Peer reviewed; Journal article, 2020)Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), ... -
A Conflict between Traditional Flood Measures and Maintaining River Ecosystems? A Case Study Based Upon the River Lærdal, Norway
(Peer reviewed; Journal article, 2021)Floods are among the most damaging of natural disasters, and flood events are expected to increase in magnitude and frequency with the effects of climate change and changes in land use. As a consequence, much focus has ... -
Effect of Intermittent Aeration in a Hybrid Vertical Anaerobic Biofilm Reactor (HyVAB) for Reject Water Treatment
(Peer reviewed; Journal article, 2020)Water from anaerobic sludge dewatering (reject water that is recycled to the inlet main process treatment) from the Knarrdalstrand municipal wastewater treatment plant in Porsgrunn, Norway, contains 2.4 g/L of total chemical ... -
Effects of N/S Molar Ratio on Product Formation in Psychrophilic Autotrophic Removal of Sulfide
(Journal article; Peer reviewed, 2017) -
Energy and Exergy Analysis of the Impact of Renewable Energy with Combined Solid Oxide Fuel Cell and Micro-Gas Turbine on Poly-Generation Smart-Grids
(Peer reviewed; Journal article, 2023)In this study, the thermodynamic performance of a combined gas turbine system equipped with a tubular solid oxide fuel cell and hydrogen fuel was investigated. All components of the system were separately modeled using ... -
Evaluating flood exposure for properties in urban areas using a multivariate modelling technique
(Journal article; Peer reviewed, 2017)Urban flooding caused by heavy rainfall is expected to increase in the future. The main purpose of this study was to investigate the variables characterizing the placement of a house, which seem to have an impact when it ... -
Novel ensembles of deep learning neural network and statistical learning for flash-flood susceptibility mapping
(Peer reviewed; Journal article, 2020)This study aimed to assess flash-flood susceptibility using a new hybridization approach of Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and Frequency Ratio (FR). A catchment area in south-eastern Romania ... -
Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework
(Peer reviewed; Journal article, 2022)Predicting discharges in sewage systems play an essential role in reducing sewer overflows and impacts on the environment and public health. Choosing a suitable model to predict discharges in these systems is essential to ... -
Utilization of Augmented Reality Technique for Sewer Condition Visualization
(Peer reviewed; Journal article, 2023)Wastewater pipelines are largely buried underground, and techniques for assessing and visualizing their condition are critical for planning and rehabilitation. This paper introduces a framework for integrating Geographic ... -
What effect does rehabilitation of wastewater pipelines have on the share of infiltration and inflow water (I/I-water)?
(Peer reviewed; Journal article, 2021)Infiltration and inflow water (I/I-water) is a big challenge in sewage systems in many countries. I/I-water above an acceptable level indicates that the sewage system is not functioning properly. I/I-water leads to increased ...