Ensemble machine learning paradigms in hydrology: A review

Supervised Machine Learning for Estimation of Total Suspended Solids in Urban Watersheds

(2021) Mohammadreza Moeini et al.   Water

A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

(2020) Xinxin He et al.   WATER RESOURCES MANAGEMENT

Modeling River Ice Breakup Dates by k-Nearest Neighbor Ensemble

(2020) Wei Sun et al.   Water

Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review

(2020) Taher Rajaee et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

(2020) Viet-Ha Nhu et al.   Water

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

(2020) Phong Tung Nguyen et al.   Sustainability

Ensemble learning of daily river discharge modeling for two watersheds with different climates

(2020) Jingwen Xu et al.   Atmospheric Science Letters

Hybrid decision tree-based machine learning models for short-term water quality prediction

(2020) Hongfang Lu et al.   CHEMOSPHERE

Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index

(2020) Sani Isah Abba et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques

(2020) Alireza Arabameri et al.   JOURNAL OF HYDROLOGY

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

(2020) S.I. Abba et al.   JOURNAL OF HYDROLOGY

Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms

(2020) Hristos Tyralis et al.   NEURAL COMPUTING & APPLICATIONS

The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty

(2020) Ahmad Sharafati et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

(2020) Peyman Yariyan et al.   WATER RESOURCES MANAGEMENT

Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors

(2020) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN

(2020) Salim Heddam et al.   JOURNAL OF HYDROLOGY

Flood susceptibility assessment using extreme gradient boosting (EGB), Iran

(2020) Sajjad Mirzaei et al.   Earth Science Informatics

Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins

(2020) Amirhosein Mosavi et al.   Geocarto International

River Water Salinity Prediction Using Hybrid Machine Learning Models

(2020) Assefa M. Melesse et al.   Water

Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data

(2020) Meysam Alizamir et al.   Water

Diversity-driven ANN-based ensemble framework for seasonal low-flow analysis at ungauged sites

(2020) Mohammad H. Alobaidi et al.   ADVANCES IN WATER RESOURCES

Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia

(2020) Jianqing Zhai et al.   ATMOSPHERIC RESEARCH

Introducing entropy-based Bayesian model averaging for streamflow forecast

(2020) Pedram Darbandsari et al.   JOURNAL OF HYDROLOGY

A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran

(2020) Ahmad Sharafati et al.   JOURNAL OF HYDROLOGY

A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer

(2020) Hossein Sahour et al.   JOURNAL OF HYDROLOGY

Comparing rotation forests and extreme gradient boosting for monitoring drought damage on KwaZulu-Natal commercial forests

(2020) M. N. M. Buthelezi et al.   Geocarto International

Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series

(2020) Sungwon Kim et al.   Sustainability

On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: Case studies of river and lake in USA

(2020) Meysam Alizamir et al.   JOURNAL OF CLEANER PRODUCTION

Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques

(2020) Binh Thai Pham et al.   Geoscience Frontiers

Evaporation modelling by heuristic regression approaches using only temperature data

(2019) Ozgur Kisi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential

(2019) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

An ensemble neural network model for real-time prediction of urban floods

(2019) Simon Berkhahn et al.   JOURNAL OF HYDROLOGY

Calculation of Critical Rainfall for Small-Watershed Flash Floods Based on the HEC-HMS Hydrological Model

(2019) Wenlin Yuan et al.   WATER RESOURCES MANAGEMENT

Application of penalized linear regression and ensemble methods for drought forecasting in Northeast China

(2019) Zeng Li et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging

(2019) Huaping Huang et al.   WATER RESOURCES MANAGEMENT

Assessing the performance of a suite of machine learning models for daily river water temperature prediction

(2019) Senlin Zhu et al.   PeerJ

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm

(2019) Yi Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A multi-model integration method for monthly streamflow prediction: modified stacking ensemble strategy

(2019) Yujie Li et al.   JOURNAL OF HYDROINFORMATICS

Assessment of Artificial Intelligence–Based Models and Metaheuristic Algorithms in Modeling Evaporation

(2019) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

(2019) Gozen Elkiran et al.   JOURNAL OF HYDROLOGY

Drought forecasting using novel heuristic methods in a semi-arid environment

(2019) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Comparison of support vector regression and extreme gradient boosting for decomposition-based data-driven 10-day streamflow forecasting

(2019) Xiang Yu et al.   JOURNAL OF HYDROLOGY

Multi-parametric modeling of water treatment plant using AI-based non-linear ensemble

(2019) S. I. Abba et al.   JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

(2019) Farzaneh Sajedi Hosseini et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models

(2019) Mohammad Zounemat-Kermani et al.   ADVANCED ENGINEERING INFORMATICS

Comparison of four learning-based methods for predicting groundwater redox status

(2019) M.J. Friedel et al.   JOURNAL OF HYDROLOGY

Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

(2019) Hossein Mojaddadi Rizeei et al.   JOURNAL OF HYDROLOGY

A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China

(2019) Junfei Chen et al.   International Journal of Environmental Research and Public Health

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

(2018) Alaa M. Al-Abadi   Arabian Journal of Geosciences

Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting

(2018) Stefanos Georganos et al.   IEEE Geoscience and Remote Sensing Letters

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Earthfill dam seepage analysis using ensemble artificial intelligence based modeling

(2018) Elnaz Sharghi et al.   JOURNAL OF HYDROINFORMATICS

A stacking ensemble learning framework for annual river ice breakup dates

(2018) Wei Sun et al.   JOURNAL OF HYDROLOGY

A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China

(2018) Lei Xu et al.   JOURNAL OF HYDROLOGY

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

(2018) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Data Pre-Analysis and Ensemble of Various Artificial Neural Networks for Monthly Streamflow Forecasting

(2018) Jianzhong Zhou et al.   Water

Accounting for model structure, parameter and input forcing uncertainty in flood inundation modeling using Bayesian model averaging

(2018) Zhu Liu et al.   JOURNAL OF HYDROLOGY

Learning from Multiple Models Using Artificial Intelligence to Improve Model Prediction Accuracies: Application to River Flows

(2018) M. A. Ghorbani et al.   WATER RESOURCES MANAGEMENT

Ensemble learning regression for estimating river discharges using satellite altimetry data: Central Congo River as a Test-bed

(2018) Donghwan Kim et al.   REMOTE SENSING OF ENVIRONMENT

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Summer drought predictability over Europe: empirical versus dynamical forecasts

(2017) Marco Turco et al.   Environmental Research Letters

Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models

(2017) Mohamad Javad Alizadeh et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

(2017) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

(2017) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea

(2017) Sunmin Lee et al.   Geomatics Natural Hazards & Risk

Multi-Model Grand Ensemble Hydrologic Forecasting in the Fu River Basin Using Bayesian Model Averaging

(2017) Bo Qu et al.   Water

Suspended sediment concentration estimation by stacking the genetic programming and neuro-fuzzy predictions

(2016) Ehsan Shamaei et al.   APPLIED SOFT COMPUTING

Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction

(2016) A. Belayneh et al.   ATMOSPHERIC RESEARCH

Random subspace method with class separability weighting

(2016) Ahmet Mert et al.   EXPERT SYSTEMS

Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams

(2016) Mohammad Zounemat-Kermani   HYDROLOGY RESEARCH

Ensemble Combination of Seasonal Streamflow Forecasts

(2016) Mohammad Reza Najafi et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams

(2016) Mohammad Zounemat-Kermani   Hydrology Research

Artificial neural network ensemble modeling with exploratory factor analysis for streamflow forecasting

(2015) Sung Eun Kim et al.   JOURNAL OF HYDROINFORMATICS

Accounting for Conceptual Soil Erosion and Sediment Yield Modeling Uncertainty in the APEX Model Using Bayesian Model Averaging

(2015) X. Wang et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

(2015) Bernard T. Nolan et al.   JOURNAL OF HYDROLOGY

A comparative analysis of 9 multi-model averaging approaches in hydrological continuous streamflow simulation

(2015) Richard Arsenault et al.   JOURNAL OF HYDROLOGY

Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

(2015) Guangyuan Kan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

adabag: AnRPackage for Classification with Boosting and Bagging

(2015) Esteban Alfaro et al.   Journal of Statistical Software

Efficiency enhancement of a process-based rainfall–runoff model using a new modified AdaBoost.RT technique

(2014) Shuang Liu et al.   APPLIED SOFT COMPUTING

A Hierarchical Bayesian Model Averaging Framework for Groundwater Prediction under Uncertainty

(2014) Nima Chitsazan et al.   Groundwater

Evaluating influences of seasonal variations and anthropogenic activities on alluvial groundwater hydrochemistry using ensemble learning approaches

(2014) Kunwar P. Singh et al.   JOURNAL OF HYDROLOGY

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster

(2014) Ping-Feng Pai et al.   WATER RESOURCES MANAGEMENT

Random subspace evidence classifier

(2013) Haisheng Li et al.   NEUROCOMPUTING

Computing Air Demand Using the Takagi–Sugeno Model for Dam Outlets

(2013) Mohammad Zounemat-Kermani et al.   Water

Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

(2012) Halil Ibrahim Erdal et al.   JOURNAL OF HYDROLOGY

A data-driven approach to predict suspended-sediment reference concentration under non-breaking waves

(2011) Francois Oehler et al.   CONTINENTAL SHELF RESEARCH

A new wavelet–bootstrap–ANN hybrid model for daily discharge forecasting

(2011) Mukesh K. Tiwari et al.   JOURNAL OF HYDROINFORMATICS

Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting

(2011) Zhongmin Liang et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach

(2010) Mukesh K. Tiwari et al.   JOURNAL OF HYDROLOGY

Comparison of point forecast accuracy of model averaging methods in hydrologic applications

(2010) Cees G. H. Diks et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A modified support vector machine based prediction model on streamflow at the Shihmen Reservoir, Taiwan

(2009) Pei-Hao Li et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment

(2009) S.K. Sharma et al.   JOURNAL OF HYDROLOGY

Bayesian model averaging for groundwater head prediction and uncertainty analysis using multimodel and multimethod

(2009) Xiaobao Li et al.   WATER RESOURCES RESEARCH

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

(2008) T. Francke et al.   HYDROLOGICAL PROCESSES

Bayesian Model Averaging and exchange rate forecasts

(2008) Jonathan H. Wright   JOURNAL OF ECONOMETRICS

Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging

(2008) Rodrigo Rojas et al.   WATER RESOURCES RESEARCH