Comparison of Bayesian, k-Nearest Neighbor and Gaussian process regression methods for quantifying uncertainty of suspended sediment concentration prediction

Robust regularized extreme learning machine with asymmetric Huber loss function

(2020) Deepak Gupta et al.   NEURAL COMPUTING & APPLICATIONS

Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction

(2020) Barenya Bikash Hazarika et al.   Environmental Earth Sciences

Using Bayesian change point model to enhance understanding of the shifting nutrients-phytoplankton relationship

(2019) Zhongyao Liang et al.   ECOLOGICAL MODELLING

Interpolation of wind pressures using Gaussian process regression

(2019) Xingliang Ma et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Seasonal and event-based concentration-discharge relationships to identify catchment controls on nutrient export regimes

(2019) Camille Minaudo et al.   ADVANCES IN WATER RESOURCES

Mapping LUCAS topsoil chemical properties at European scale using Gaussian process regression

(2019) Cristiano Ballabio et al.   GEODERMA

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

(2018) Eric Schulz et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

River suspended sediment modelling using the CART model: A comparative study of machine learning techniques

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Stochastic modeling of suspended sediment load in alluvial rivers

(2018) Shahab Aldin Shojaeezadeh et al.   ADVANCES IN WATER RESOURCES

A semi-physical sediment yield model for estimation of suspended sediment in loess region

(2017) Wei Si et al.   International Journal of Sediment Research

Evaluating Spatial Variability in Sediment and Phosphorus Concentration-Discharge Relationships Using Bayesian Inference and Self-Organizing Maps

(2017) Kristen L. Underwood et al.   WATER RESOURCES RESEARCH

Elemental properties, hydrology, and biology interact to shape concentration-discharge curves for carbon, nutrients, sediment, and major ions

(2017) F. Moatar et al.   WATER RESOURCES RESEARCH

Using the nonparametric k-nearest neighbor approach for predicting cation exchange capacity

(2016) A.A. Zolfaghari et al.   GEODERMA

Efficient estimation of flood forecast prediction intervals via single- and multi-objective versions of the LUBE method

(2016) Lei Ye et al.   HYDROLOGICAL PROCESSES

Evaluation of data driven models for river suspended sediment concentration modeling

(2016) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS

(2015) Riccardo Taormina et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Quantile Regression-Based Probabilistic Estimation Scheme for Daily and Annual Suspended Sediment Loads

(2015) Jenq-Tzong Shiau et al.   WATER RESOURCES MANAGEMENT

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

(2014) Haitham Abdulmohsin Afan et al.   WATER RESOURCES MANAGEMENT

Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric -Nearest Neighbor Approach

(2013) Yves-Dady Botula et al.   VADOSE ZONE JOURNAL

Estimating bootstrap and Bayesian prediction intervals for constituent load rating curves

(2013) Olga Vigiak et al.   WATER RESOURCES RESEARCH

Accounting for uncertainty in cumulative sediment transport using Bayesian statistics

(2012) M.L. Schmelter et al.   GEOMORPHOLOGY

Spatial discontinuity and temporal evolution of channel morphology along a mixed bedrock-alluvial river, upper Drôme River, southeast France: Contingent responses to external and internal controls

(2012) J. Toone et al.   GEOMORPHOLOGY

Sediment rating curves in the Ningxia-Inner Mongolia reaches of the upper Yellow River and their implications

(2012) Xiaoli Fan et al.   QUATERNARY INTERNATIONAL

Theoretical/numerical model for the transport of non-uniform suspended sediment in open channels

(2011) Sanjeev K. Jha et al.   ADVANCES IN WATER RESOURCES

Daily variability of river concentrations and fluxes: indicators based on the segmentation of the rating curve

(2011) Michel Meybeck et al.   HYDROLOGICAL PROCESSES

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Load estimation with uncertainties from opportunistic sampling data – A semiparametric approach

(2010) You-Gan Wang et al.   JOURNAL OF HYDROLOGY

Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1

(2010) Robert M. Hirsch et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

A Bayesian changepoint–threshold model to examine the effect of TMDL implementation on the flow–nitrogen concentration relationship in the Neuse River basin

(2010) Ibrahim Alameddine et al.   WATER RESEARCH

Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests

(2008) T. Francke et al.   HYDROLOGICAL PROCESSES

Hysteresis effect in suspended sediment concentration in the Rybárik basin, Slovakia / Effet d'hystérèse dans la concentration des sédiments en suspension dans le bassin versant de Rybárik (Slovaquie)

(2008) PETER BAČA   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Determining annual suspended sediment and sediment-associated trace element and nutrient fluxes

(2008) Arthur J. Horowitz   SCIENCE OF THE TOTAL ENVIRONMENT

Applying bootstrap resampling to quantify uncertainty in fluvial suspended sediment loads estimated using rating curves

(2008) P. Rustomji et al.   WATER RESOURCES RESEARCH

Reconstruction of sediment flux from the Changjiang (Yangtze River) to the sea since the 1860s

(2007) Houjie Wang et al.   JOURNAL OF HYDROLOGY