Theo dơi
Binquan Li
Binquan Li
Email được xác minh tại - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
RM Adnan, Z Liang, S Heddam, M Zounemat-Kermani, O Kisi, B Li
Journal of Hydrology 586, 124371, 2020
Daily streamflow prediction using optimally pruned extreme learning machine
RM Adnan, Z Liang, S Trajkovic, M Zounemat-Kermani, B Li, O Kisi
Journal of Hydrology 577, 123981, 2019
A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework
Z Liang, Y Li, Y Hu, B Li, J Wang
Theoretical and applied climatology 133, 137-149, 2018
Effects of climate variations and human activities on runoff in the Zoige alpine wetland in the eastern edge of the Tibetan Plateau
B Li, Z Yu, Z Liang, K Song, H Li, Y Wang, W Zhang, K Acharya
Journal of Hydrologic Engineering 19 (5), 1026-1035, 2014
Hydrologic response of a high altitude glacierized basin in the central Tibetan Plateau
B Li, Z Yu, Z Liang, K Acharya
Global and Planetary Change 118, 69-84, 2014
Long-term streamflow forecasting using SWAT through the integration of the random forests precipitation generator: case study of Danjiangkou Reservoir
Z Liang, T Tang, B Li, T Liu, J Wang, Y Hu
Hydrology Research 49 (5), 1513-1527, 2018
Combination of multiple data-driven models for long-term monthly runoff predictions based on Bayesian model averaging
H Huang, Z Liang, B Li, D Wang, Y Hu, Y Li
Water Resources Management 33, 3321-3338, 2019
Using the SPEI to assess recent climate change in the Yarlung Zangbo River Basin, South Tibet
B Li, W Zhou, Y Zhao, Q Ju, Z Yu, Z Liang, K Acharya
Water 7 (10), 5474-5486, 2015
Bayesian flood frequency analysis in the light of model and parameter uncertainties
Z Liang, W Chang, B Li
Stochastic Environmental Research and Risk Assessment 26, 721-730, 2012
A multi-model integration method for monthly streamflow prediction: modified stacking ensemble strategy
Y Li, Z Liang, Y Hu, B Li, B Xu, D Wang
Journal of Hydroinformatics 22 (2), 310-326, 2020
Comparison of LSSVR, M5RT, NF-GP, and NF-SC models for predictions of hourly wind speed and wind power based on cross-validation
RM Adnan, Z Liang, X Yuan, O Kisi, M Akhlaq, B Li
Energies 12 (2), 329, 2019
Climate change driven water budget dynamics of a Tibetan inland lake
B Li, J Zhang, Z Yu, Z Liang, L Chen, K Acharya
Global and Planetary Change 150, 70-80, 2017
A revised drought index based on precipitation and pan evaporation
B Li, Z Liang, J Zhang, G Wang
International Journal of Climatology 37 (2), 793-801, 2017
Evaluation of drought and wetness episodes in a cold region (Northeast China) since 1898 with different drought indices
B Li, Z Liang, Z Yu, K Acharya
Natural Hazards 71 (3), 2063-2085, 2014
Concept of equivalent reliability for estimating the design flood under non-stationary conditions
Y Hu, Z Liang, VP Singh, X Zhang, J Wang, B Li, H Wang
Water resources management 32, 997-1011, 2018
Attribution analysis of runoff decline in a semiarid region of the Loess Plateau, China
B Li, Z Liang, J Zhang, G Wang, W Zhao, H Zhang, J Wang, Y Hu
Theoretical and applied climatology 131, 845-855, 2018
Comparison of parameter uncertainty analysis techniques for a TOPMODEL application
B Li, Z Liang, Y He, L Hu, W Zhao, K Acharya
Stochastic Environmental Research and Risk Assessment 31, 1045-1059, 2017
A review of hydrological uncertainty analysis based on Bayesian theory
Advances in Water Science 21 (2), 274-281, 2010
Changes in streamflow and sediment for a planned large reservoir in the middle Yellow River
B Li, Z Liang, Z Bao, J Wang, Y Hu
Land Degradation & Development 30 (7), 878-893, 2019
New flood early warning and forecasting method based on similarity theory
Z Xiao, Z Liang, B Li, B Hou, Y Hu, J Wang
Journal of Hydrologic Engineering 24 (8), 04019023, 2019
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