Improving monthly streamflow prediction in alpine regions: integrating HBV model with Bayesian neural network-Reference-Cited by-同舟云学术

Improving monthly streamflow prediction in alpine regions: integrating HBV model with Bayesian neural network

Published:2018-06-09 Issue:12 Volume:32 Page:3381-3396
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Ren Wei Wei,Yang Tao,Huang Ching Sheng,Xu Chong Yu,Shao Quan Xi

Funder

National Natural Science Foundation of China

key grant of Chinese Academy of Sciences

a grant from the Ministry of Education

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-018-1553-x/fulltext.html

Reference83 articles.

1. Ahmad AS, Hassan MY, Abdullah MP, Rahman HA, Hussin F, Abdullah H, Saidur R (2014) A review on applications of ANN and SVM for building electrical energy consumption forecasting. Renew Sustain Energy Rev 33:102–109

2. Beckers JVL, Weerts AH, Tijdeman E, Wellesn E (2016) ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction. Hydrol Earth Syst Sci 20(8):3277–3287

3. Bolch T (2007) Climate change and glacier retreat in northern Tien Shan (Kazakhstan/Kyrgyzstan) using remote sensing data. Glob Planet Change 56(1–2):1–12

4. Braithwaite RJ, Olesen OB (1984) Ice ablation in West Greenland in relation to air temperature and global radiation. Zeitsehrift fur Gletscherkunde und Glazialgeologie 20:155–168

5. Cui T, Yang T, Xu C-Y, Shao Q, Wang X, Li Z (2017) Assessment of the impact of climate change on flow regime at multiple temporal scales and potential ecological implications in an alpine river. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-017-1475-z

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid model coupling process-driven and data-driven models for improved real-time flood forecasting;Journal of Hydrology;2024-07

2. Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review;Cogent Engineering;2024-06-03

3. Uncertainty estimation of hydrological modelling using gridded precipitation as model inputs in the Gandaki River Basin;Journal of Hydrology: Regional Studies;2024-06

4. Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia;Remote Sensing;2024-03-08

5. Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review;Sustainability;2024-02-06