Improving monthly streamflow prediction in alpine regions: integrating HBV model with Bayesian neural network
出版年份 2018 全文链接
标题
Improving monthly streamflow prediction in alpine regions: integrating HBV model with Bayesian neural network
作者
关键词
Hybrid model, Streamflow forecasting, Bayesian neural networks, Least-square support vector machine, HBV light model, Uncertainty estimates, Alpine region
出版物
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2018-06-09
DOI
10.1007/s00477-018-1553-x
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- An improved approach for water quality evaluation: TOPSIS-based informative weighting and ranking (TIWR) approach
- (2018) Zhenya Li et al. ECOLOGICAL INDICATORS
- A probabilistic method for streamflow projection and associated uncertainty analysis in a data sparse alpine region
- (2018) Weiwei Ren et al. GLOBAL AND PLANETARY CHANGE
- Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach
- (2018) X.W. Zhuang et al. JOURNAL OF HYDROLOGY
- Review of analytical models to stream depletion induced by pumping: Guide to model selection
- (2018) Ching-Sheng Huang et al. JOURNAL OF HYDROLOGY
- A hybrid empirical-Bayesian artificial neural network model of salinity in the San Francisco Bay-Delta estuary
- (2017) John S. Rath et al. ENVIRONMENTAL MODELLING & SOFTWARE
- How do the multiple large-scale climate oscillations trigger extreme precipitation?
- (2017) Pengfei Shi et al. GLOBAL AND PLANETARY CHANGE
- Development of a new IHA method for impact assessment of climate change on flow regime
- (2017) Tao Yang et al. GLOBAL AND PLANETARY CHANGE
- Prospective scenarios of the saltwater intrusion in an estuary under climate change context using Bayesian neural networks
- (2017) Xudong Zhou et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Assessment of the impact of climate change on flow regime at multiple temporal scales and potential ecological implications in an alpine river
- (2017) Tong Cui et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Analysis of multi-dimensional hydrological alterations under climate change for four major river basins in different climate zones
- (2016) Xiaoyan Wang et al. CLIMATIC CHANGE
- Large-scale climate patterns and precipitation in an arid endorheic region: linkage and underlying mechanism
- (2016) Pengfei Shi et al. Environmental Research Letters
- Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan
- (2016) N.J. Mount et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A comparison of three predictor selection methods for statistical downscaling
- (2016) Chunli Yang et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Coupling SWAT and ANN models for enhanced daily streamflow prediction
- (2016) Navideh Noori et al. JOURNAL OF HYDROLOGY
- A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network
- (2016) Greer B. Humphrey et al. JOURNAL OF HYDROLOGY
- Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55)
- (2016) Nobuyuki Kayaba et al. SOLA
- Rationalization of Altitudinal Precipitation Profiles in a Data-Scarce Glacierized Watershed Simulation in the Karakoram
- (2016) Xiaolei Wang et al. Water
- Brewer-Dobson circulation diagnosed from JRA-55
- (2016) Chiaki Kobayashi et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation
- (2015) Aranildo R. Lima et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
- (2015) Youngmin Seo et al. JOURNAL OF HYDROLOGY
- The JRA-55 Reanalysis: General Specifications and Basic Characteristics
- (2015) Shinya KOBAYASHI et al. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
- Probabilistic modeling and uncertainty estimation of urban water consumption under an incompletely informational circumstance
- (2015) Tao Yang et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios
- (2014) Umut Okkan et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- A review on applications of ANN and SVM for building electrical energy consumption forecasting
- (2014) A.S. Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Potential improvements to statistical downscaling of general circulation model outputs to catchment streamflows with downscaled precipitation and evaporation
- (2014) D. A. Sachindra et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Snowpack regimes of the Western United States
- (2014) Ernesto Trujillo et al. WATER RESOURCES RESEARCH
- Climate change and probabilistic scenario of streamflow extremes in an alpine region
- (2014) Tao Yang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
- (2013) Makoto Yamada et al. NEURAL COMPUTATION
- Product-Units neural networks for catchment runoff forecasting
- (2012) Adam P. Piotrowski et al. ADVANCES IN WATER RESOURCES
- The contribution of glacier melt to streamflow
- (2012) Neil Schaner et al. Environmental Research Letters
- Using large-scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River Basins
- (2012) Ajay Kalra et al. HYDROLOGICAL PROCESSES
- Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows
- (2012) D. A. Sachindra et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Modeling effects of changing land use/cover on daily streamflow: An Artificial Neural Network and curve number based hybrid approach
- (2012) Sabahattin Isik et al. JOURNAL OF HYDROLOGY
- Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm
- (2011) Dong-xiao Niu et al. APPLIED SOFT COMPUTING
- Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
- (2011) Daniel Gianola et al. BMC GENETICS
- A modified monthly degree-day model for evaluating glacier runoff changes in China. Part I: model development
- (2011) Shiqiang Zhang et al. HYDROLOGICAL PROCESSES
- Modeling the runoff and glacier mass balance in a small watershed on the Central Tibetan Plateau, China, from 1955 to 2008
- (2011) Hongkai Gao et al. HYDROLOGICAL PROCESSES
- Evaluation of two statistical downscaling models for daily precipitation over an arid basin in China
- (2011) Zhaofei Liu et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Changes of climate extremes in a typical arid zone: Observations and multimodel ensemble projections
- (2011) Tao Yang et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Daily streamflow forecasting by machine learning methods with weather and climate inputs
- (2011) Kabir Rasouli et al. JOURNAL OF HYDROLOGY
- A Bayesian Approach to Predictor Selection for Seasonal Streamflow Forecasting
- (2011) David E. Robertson et al. JOURNAL OF HYDROMETEOROLOGY
- The Japanese 55-year Reanalysis “JRA-55”: An Interim Report
- (2011) Ayataka Ebita et al. SOLA
- Statistical downscaling of extremes of precipitation and temperature and construction of their future scenarios in an elevated and cold zone
- (2011) Xiaoyan Wang et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Monthly and seasonal streamflow forecasts using rainfall-runoff modeling and historical weather data
- (2011) Enli Wang et al. WATER RESOURCES RESEARCH
- Application of a Modular Feedforward Neural Network for Grade Estimation
- (2011) Pejman Tahmasebi et al. Natural Resources Research
- Statistical downscaling of river flows
- (2010) Clement Tisseuil et al. JOURNAL OF HYDROLOGY
- On the value of glacier mass balances for hydrological model calibration
- (2010) Markus Konz et al. JOURNAL OF HYDROLOGY
- A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites
- (2009) Q. J. Wang et al. WATER RESOURCES RESEARCH
- Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
- (2009) Mark Thyer et al. WATER RESOURCES RESEARCH
- Estimating uncertainty of streamflow simulation using Bayesian neural networks
- (2009) Xuesong Zhang et al. WATER RESOURCES RESEARCH
- Flow forecast by SWAT model and ANN in Pracana basin, Portugal
- (2008) Mehmet C. Demirel et al. ADVANCES IN ENGINEERING SOFTWARE
- Future changes in snowmelt-driven runoff timing over the western US
- (2008) Sara A. Rauscher et al. GEOPHYSICAL RESEARCH LETTERS
- Statistical downscaling of GCM simulations to streamflow using relevance vector machine
- (2007) Subimal Ghosh et al. ADVANCES IN WATER RESOURCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started