Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
Authors
Keywords
-
Journal
WATER RESOURCES MANAGEMENT
Volume 35, Issue 1, Pages 199-223
Publisher
Springer Science and Business Media LLC
Online
2020-11-21
DOI
10.1007/s11269-020-02719-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantifying the Uncertainties in Data-Driven Models for Reservoir Inflow Prediction
- (2020) Xiaoli Zhang et al. WATER RESOURCES MANAGEMENT
- Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network
- (2020) Kai Lun Chong et al. WATER RESOURCES MANAGEMENT
- Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models
- (2020) F. Wang et al. WATER RESOURCES MANAGEMENT
- Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision analysis (DID)
- (2020) Saeed Farzin et al. JOURNAL OF CLEANER PRODUCTION
- Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States
- (2020) Peiman Parisouj et al. WATER RESOURCES MANAGEMENT
- A Novel Approach for Prediction of Monthly Ground Water Level Using a Hybrid Wavelet and Non-Tuned Self-Adaptive Machine Learning Model
- (2019) Maryam Malekzadeh et al. WATER RESOURCES MANAGEMENT
- Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification
- (2019) Quang-Thanh Bui et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
- (2019) Mahdi Valikhan-Anaraki et al. Sustainability
- Novel approaches for air temperature prediction: A comparison of four hybrid evolutionary fuzzy models
- (2019) Armin Azad et al. METEOROLOGICAL APPLICATIONS
- Modeling total dissolved gas (TDG) concentration at Columbia river basin dams: high-order response surface method (H-RSM) vs. M5Tree, LSSVM, and MARS
- (2019) Behrooz Keshtegar et al. Arabian Journal of Geosciences
- Uncertainty Analysis of Climate Change Impact on River Flow Extremes Based on a Large Multi-Model Ensemble
- (2019) Jan De Niel et al. WATER RESOURCES MANAGEMENT
- Investigation of a New Hybrid Optimization Algorithm Performance in the Optimal Operation of Multi-Reservoir Benchmark Systems
- (2019) Majid Mohammadi et al. WATER RESOURCES MANAGEMENT
- Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors
- (2018) Hadi Sanikhani et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India
- (2018) Jew Das et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty
- (2018) Mohammad Ehteram et al. JOURNAL OF HYDROINFORMATICS
- Multi-step ahead forecasting in electrical power system using a hybrid forecasting system
- (2018) Pei Du et al. RENEWABLE ENERGY
- Quantifying the sources of uncertainty in an ensemble of hydrological climate-impact projections
- (2018) Anil Aryal et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Ensembling Downscaling Techniques and Multiple GCMs to Improve Climate Change Predictions in Cryosphere Scarcely-Gauged Catchment
- (2018) Muhammad Azmat et al. WATER RESOURCES MANAGEMENT
- Data-driven ensemble model to statistically downscale rainfall using nonlinear predictor screening approach
- (2018) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Streamflow Forecasting Using Four Wavelet Transformation Combinations Approaches with Data-Driven Models: A Comparative Study
- (2018) Sinan Jasim Hadi et al. WATER RESOURCES MANAGEMENT
- A new approach for simulating and forecasting the rainfall-runoff process within the next two months
- (2017) Mohamad Javad Alizadeh et al. JOURNAL OF HYDROLOGY
- Runoff Projection under Climate Change Conditions with Data-Mining Methods
- (2017) Parisa Sarzaeim et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasting in Linear and Nonlinear Conditions
- (2017) Fereshteh Modaresi et al. WATER RESOURCES MANAGEMENT
- Uncertainty Modeling of Statistical Downscaling to Assess Climate Change Impacts on Temperature and Precipitation
- (2017) Roja Najafi et al. WATER RESOURCES MANAGEMENT
- Runoff Projection under Climate Change Conditions with Data-Mining Methods
- (2017) Parisa Sarzaeim et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- Future changes in rainfall, temperature and reference evapotranspiration in the central India by least square support vector machine
- (2017) Sananda Kundu et al. Geoscience Frontiers
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Impacts of climate change on streamflows under RCP scenarios: A case study in Xin River Basin, China
- (2016) Yuqing Zhang et al. ATMOSPHERIC RESEARCH
- Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China
- (2016) Wei Qi et al. JOURNAL OF HYDROMETEOROLOGY
- Optimizing connection weights in neural networks using the whale optimization algorithm
- (2016) Ibrahim Aljarah et al. SOFT COMPUTING
- Assessment of climate change impacts on rainfall using large scale climate variables and downscaling models – A case study
- (2014) Azadeh Ahmadi et al. Journal of Earth System Science
- Impact of Climate Change on Flood Frequency Using Different Climate Models and Downscaling Approaches
- (2013) S. Camici et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Performance assessment of different data mining methods in statistical downscaling of daily precipitation
- (2013) M. Nasseri et al. JOURNAL OF HYDROLOGY
- Improved statistical downscaling of daily precipitation using SDSM platform and data-mining methods
- (2012) H. Tavakol-Davani et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff
- (2012) Hua Chen et al. JOURNAL OF HYDROLOGY
- Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections
- (2012) T. Bosshard et al. WATER RESOURCES RESEARCH
- A refined index of model performance
- (2011) Cort J. Willmott et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- SVM-PGSL coupled approach for statistical downscaling to predict rainfall from GCM output
- (2011) Subimal Ghosh JOURNAL OF GEOPHYSICAL RESEARCH
- Statistical downscaling in the arid central Andes: uncertainty analysis of multi-model simulated temperature and precipitation
- (2011) Maxime Souvignet et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Downscaling GCMs using the Smooth Support Vector Machine method to predict daily precipitation in the Hanjiang Basin
- (2010) Hua Chen et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree
- (2009) Krishna Kumar Singh et al. WATER RESOURCES MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started