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 …

Daily streamflow prediction using optimally pruned extreme learning machine

RM Adnan, Z Liang, S Trajkovic… - Journal of …, 2019 - Elsevier
Daily streamflow prediction is important for flood warning, navigation, sediment control,
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; …

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 …

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 …

Impacts of climate change on photovoltaic energy potential: A case study of China

X Zhao, G Huang, C Lu, X Zhou, Y Li - Applied Energy, 2020 - Elsevier
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 …

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 …

Parameter uncertainty and sensitivity evaluation of copula-based multivariate hydroclimatic risk assessment

K Huang, YR Fan - 2021 - bura.brunel.ac.uk
Extensive uncertainties exist in hydroclimatic risk analysis. Especially in multivariate
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 …

Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas

M Nazeri Tahroudi, Y Ramezani, C De Michele… - Applied Water …, 2022 - Springer
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 …