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 …

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

A Malik, Y Tikhamarine, D Souag-Gamane… - … Research and Risk …, 2020 - Springer
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …

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 …

Reference evapotranspiration forecasting based on local meteorological and global climate information screened by partial mutual information

W Fang, S Huang, Q Huang, G Huang, E Meng… - Journal of …, 2018 - Elsevier
In this study, reference evapotranspiration (ET 0) forecasting models are developed for the
least economically developed regions subject to meteorological data scarcity. Firstly, the …

Conjunction of cluster ensemble-model ensemble techniques for spatiotemporal assessment of groundwater depletion in semi-arid plains

E Sharghi, V Nourani, Y Zhang, P Ghaneei - Journal of Hydrology, 2022 - Elsevier
In this study, first to identify the patterns of groundwater level (GWL) over the Ghorveh-
Dehgolan plain (GDP) located in western Iran, as a data pre-processing scheme, three …

Identifying sensitivity of factor cluster based gully erosion susceptibility models

S Pal, S Paul, S Debanshi - Environmental Science and Pollution …, 2022 - Springer
The present study has attempted to address the issue of sensitivity of different clusters of
factors towards gully erosion in the Mayurakshi river basin. Firstly, the gully erosion …

Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling

H Chen, Q Liang, Y Liu, S Xie - Journal of hydrology, 2018 - Elsevier
Abstract Digital Elevation Model (DEM) is one of the most important controlling factors
determining the simulation accuracy of hydraulic models. However, the currently available …

Development of clustered polynomial chaos expansion model for stochastic hydrological prediction

F Wang, GH Huang, Y Fan, YP Li - Journal of Hydrology, 2021 - Elsevier
This study introduced a clustered polynomial chaos expansion (CPCE) model to reveal
random propagation and dynamic sensitivity of uncertainty parameters in hydrologic …

A systematic assessment of watershed-scale nonpoint source pollution during rainfall-runoff events in the Miyun Reservoir watershed

J Qiu, Z Shen, G Wei, G Wang, H Xie, G Lv - Environmental Science and …, 2018 - Springer
The assessment of peak flow rate, total runoff volume, and pollutant loads during rainfall
process are very important for the watershed management and the ecological restoration of …