Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM
J Guo, Y Liu, Q Zou, L Ye, S Zhu, H Zhang - Journal of Hydrology, 2023 - Elsevier
Accurate prediction of runoff is an important foundation for optimizing water resource
allocation and reservoir scheduling operations. However, due to its complex characteristics …
allocation and reservoir scheduling operations. However, due to its complex characteristics …
A review on drought index forecasting and their modelling approaches
Drought being one of the costliest natural hazards and its adverse impacts towards the
agricultural and socioeconomic sectors has gained concerns among the researchers …
agricultural and socioeconomic sectors has gained concerns among the researchers …
Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia
Forecasting of reservoir inflow is one of the most vital concerns when it comes to managing
water resources at reservoirs to mitigate natural hazards such as flooding. Machine learning …
water resources at reservoirs to mitigate natural hazards such as flooding. Machine learning …
Daily groundwater level prediction and uncertainty using LSTM coupled with PMI and bootstrap incorporating teleconnection patterns information
H Chu, J Bian, Q Lang, X Sun, Z Wang - Sustainability, 2022 - mdpi.com
Daily groundwater level is an indicator of groundwater resources. Accurate and reliable
groundwater level (GWL) prediction is crucial for groundwater resources management and …
groundwater level (GWL) prediction is crucial for groundwater resources management and …
Component-based reconstruction prediction of runoff at multi-time scales in the source area of the Yellow River based on the ARMA model
J Zhang, H Xiao, H Fang - Water Resources Management, 2022 - Springer
Improving the accuracy of hydrological prediction for long-term annual runoff series is
important for water resources management and planning. In this study, the complementary …
important for water resources management and planning. In this study, the complementary …
Medium and long-term precipitation prediction using wavelet decomposition-prediction-reconstruction model
Y Wang, J Liu, R Li, X Suo, EH Lu - Water Resources Management, 2022 - Springer
To improve the accuracy of medium and long-term precipitation prediction, we propose an
innovative application of the wavelet decomposition-prediction-reconstruction model …
innovative application of the wavelet decomposition-prediction-reconstruction model …
Improving short-range reservoir inflow forecasts with machine learning model combination
M Rajesh, S Anishka, PS Viksit, S Arohi… - Water Resources …, 2023 - Springer
This paper presents a simple and effective framework to combine various data-driven
machine learning (ML) algorithms for short-range reservoir inflow forecasting, including the …
machine learning (ML) algorithms for short-range reservoir inflow forecasting, including the …
Mapping groundwater potential for irrigation, by geographical information system and remote sensing techniques: A case study of district Lower Dir, Pakistan
The changing climate and global warming have rendered existing surface water insufficient,
which is projected to adversely influence the irrigated farming systems globally …
which is projected to adversely influence the irrigated farming systems globally …
Prediction of river inflow of the major tributaries of Indus river basin using hybrids of EEMD and LMD methods
Reliable prediction of the water flow entering a reservoir is a crucial concern for agricultural-
based countries like Pakistan. This study applies a hybrid method to model the daily river …
based countries like Pakistan. This study applies a hybrid method to model the daily river …
Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region
Reservoir inflow (Q flow) forecasting is one of the crucial processes in achieving the best
water resources management in a particular catchment area. Although physical models …
water resources management in a particular catchment area. Although physical models …