Ensemble machine learning paradigms in hydrology: A review
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
A review of machine learning applications to coastal sediment transport and morphodynamics
A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …
of insight and quantitative relationships from multidimensional datasets. Here, we review the …
Mechanistic modeling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change
While many studies focus on the persistence of coastal wetlands under climate change,
similar predictions are lacking for new wetland establishment, despite being critical to …
similar predictions are lacking for new wetland establishment, despite being critical to …
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
H Tao, ZS Al-Khafaji, C Qi… - Engineering …, 2021 - Taylor & Francis
River sedimentation is an important indicator for ecological and geomorphological
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
F Fahimi, ZM Yaseen, A El-shafie - Theoretical and applied climatology, 2017 - Springer
Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …
widely in engineering and science problems. Water resource variable modeling and …
Climate change and coastal morphodynamics: Interactions on regional scales
Climate change and its impacts, combined with unchecked human activities, intensify
pressures on coastal environments, resulting in modification of the coastal morphodynamics …
pressures on coastal environments, resulting in modification of the coastal morphodynamics …
Estimation of settling velocity using generalized reduced gradient (GRG) and hybrid generalized reduced gradient–genetic algorithm (hybrid GRG-GA)
This study describes the settling velocity phenomenon and deals with the methods for its
estimation. The accuracy of three previously proposed settling velocity equations is also …
estimation. The accuracy of three previously proposed settling velocity equations is also …
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment
An in-situ monitoring of water quality (suspended sediment concentration, SSC) and
concurrent hydrodynamics was conducted in the subaqueous Yellow River Delta in China …
concurrent hydrodynamics was conducted in the subaqueous Yellow River Delta in China …
A machine learning approach for the prediction of settling velocity
EB Goldstein, G Coco - Water Resources Research, 2014 - Wiley Online Library
We use a machine learning approach based on genetic programming to predict
noncohesive particle settling velocity. The genetic programming routine is coupled to a …
noncohesive particle settling velocity. The genetic programming routine is coupled to a …
[HTML][HTML] Simulating mesoscale coastal evolution for decadal coastal management: A new framework integrating multiple, complementary modelling approaches
Coastal and shoreline management increasingly needs to consider morphological change
occurring at decadal to centennial timescales, especially that related to climate change and …
occurring at decadal to centennial timescales, especially that related to climate change and …