Hybrid forecasting model for non-stationary daily runoff series: a case study in the Han River Basin, China
T **e, G Zhang, J Hou, J **e, M Lv, F Liu - Journal of Hydrology, 2019 - Elsevier
Accurate and reliable short-term runoff prediction is of great significance to the management
of water resources optimization and reservoir flood operation. In order to improve the …
of water resources optimization and reservoir flood operation. In order to improve the …
Daily streamflow prediction using optimally pruned extreme learning machine
Daily streamflow prediction is important for flood warning, navigation, sediment control,
reservoir operations and environmental protection. The current paper examines the …
reservoir operations and environmental protection. The current paper examines the …
Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer
X Zhao, H Lv, S Lv, Y Sang, Y Wei, X Zhu - Journal of Hydrology, 2021 - Elsevier
Accurate and reliable mid-to long-term streamflow prediction is essential for water resources
management. However, streamflow series exhibits strong non-stationary and non-linear; …
management. However, streamflow series exhibits strong non-stationary and non-linear; …
Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models
W Fang, S Huang, K Ren, Q Huang, G Huang… - Journal of …, 2019 - Elsevier
The applicability of the traditionally used overall decomposition-based (ODB) sampling
technique in the development of forecasting models is controversial. This study first conducts …
technique in the development of forecasting models is controversial. This study first conducts …
A hybrid VMD-SVM model for practical streamflow prediction using an innovative input selection framework
E Meng, S Huang, Q Huang, W Fang, H Wang… - Water Resources …, 2021 - Springer
Some previous studies have proved that prediction models using traditional overall
decomposition sampling (ODS) strategy are unreasonable because the subseries obtained …
decomposition sampling (ODS) strategy are unreasonable because the subseries obtained …
Impacts of climate change on photovoltaic energy potential: A case study of China
The worldwide pressure of greenhouse gas (GHG) emission mitigation calls for explosive
growth in the research and development of renewable energies. At the same time, from a …
growth in the research and development of renewable energies. At the same time, from a …
Explicit the urban waterlogging spatial variation and its driving factors: The stepwise cluster analysis model and hierarchical partitioning analysis approach
Q Zhang, Z Wu, G Guo, H Zhang, P Tarolli - Science of the Total …, 2021 - Elsevier
Urban waterlogging is a hydrological cycle problem that seriously affects people's life and
property. Characterizing waterlogging variation and explicit its driving factors are conducive …
property. Characterizing waterlogging variation and explicit its driving factors are conducive …
Parameter uncertainty and sensitivity evaluation of copula-based multivariate hydroclimatic risk assessment
Extensive uncertainties exist in hydroclimatic risk analysis. Especially in multivariate
hydrologic risk inferences, uncertainties in individual hydroclimatic extremes such as floods …
hydrologic risk inferences, uncertainties in individual hydroclimatic extremes such as floods …
Impact of the quality of hydrological forecasts on the managementand revenue of hydroelectric reservoirs–a conceptual approach
M Cassagnole, MH Ramos, I Zalachori… - Hydrology and Earth …, 2020 - hess.copernicus.org
The improvement of a forecasting system and the continuous evaluation of its quality are
recurrent steps in operational practice. However, the systematic evaluation of forecast value …
recurrent steps in operational practice. However, the systematic evaluation of forecast value …
Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas
Investigating the interaction of water resources such as rainfall, river flow and groundwater
level can be useful to know the behavior of water balance in a basin. In this study, using the …
level can be useful to know the behavior of water balance in a basin. In this study, using the …