Multi-objective decision-making for green infrastructure planning (LID-BMPs) in urban storm water management under uncertainty
Sustainable urban surface runoff management is receiving increased attention due to
environmental and ecological consequences related to urbanization. This study presents a …
environmental and ecological consequences related to urbanization. This study presents a …
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico
M Zounemat-Kermani, A Mahdavi-Meymand… - Journal of …, 2020 - Elsevier
Sediment transportation in water bodies may cause many problems for the water resources
projects and damage the environment. Hence, modeling sediment load components …
projects and damage the environment. Hence, modeling sediment load components …
Experimental studies on scour of supercritical flow jets in upstream of screens and modelling scouring dimensions using artificial intelligence to combine multiple …
S Sadeghfam, R Daneshfaraz, R Khatibi… - Journal of …, 2019 - iwaponline.com
Performances of screens in watercourses are investigated for dissipating energy of
supercritical flows, capable of inducing scour or stabilising hydraulic jumps. Subsequent …
supercritical flows, capable of inducing scour or stabilising hydraulic jumps. Subsequent …
[HTML][HTML] Quantitative forecasting of bed sediment load in river engineering: an investigation into machine learning methodologies for complex phenomena
The intricate calculation of bed sediment load (BSL), which is influenced by hydraulic,
hydrological, and sedimentary factors, is vital for informed decision-making in water …
hydrological, and sedimentary factors, is vital for informed decision-making in water …
Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression
K Roushangar, S Shahnazi - Journal of Hydroinformatics, 2020 - iwaponline.com
Estimating sediment transport rate in rivers has high importance due to the difficulties and
costs associated with its measurement, which has drawn the attention of experts in water …
costs associated with its measurement, which has drawn the attention of experts in water …
Stochastic modeling of groundwater fluoride contamination: Introducing lazy learners
While it remains the primary source of safe drinking and irrigation water in northwest Iran's
Maku Plain, the region's groundwater is prone to fluoride contamination. Accordingly …
Maku Plain, the region's groundwater is prone to fluoride contamination. Accordingly …
Regression models for sediment transport in tropical rivers
The investigation of sediment transport in tropical rivers is essential for planning effective
integrated river basin management to predict the changes in rivers. The characteristics of …
integrated river basin management to predict the changes in rivers. The characteristics of …
Simulation of daily suspended sediment load using an improved model of support vector machine and genetic algorithms and particle swarm
Predicting suspended sediment load is one of the most important issues in relation to
watershed basins which must be in a way that decision-makers make correct decisions …
watershed basins which must be in a way that decision-makers make correct decisions …
Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm
Prediction of sediment volume and sediment load is always one of the important issues for
decision-makers of watershed basins. The present study investigated the daily suspended …
decision-makers of watershed basins. The present study investigated the daily suspended …
Bed load prediction in gravel-bed rivers using wavelet kernel extreme learning machine and meta-heuristic methods
K Roushangar, S Shahnazi - International Journal of Environmental …, 2019 - Springer
The present study aims at developing a wavelet kernel extreme learning machine (WKELM)
and meta-heuristic method, known as particle swarm optimization (PSO). PSO algorithm is …
and meta-heuristic method, known as particle swarm optimization (PSO). PSO algorithm is …