A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method
The important foundation for water resource management and utilization is effective monthly
runoff prediction. In this study, a new coupled model for predicting monthly runoff is …
runoff prediction. In this study, a new coupled model for predicting monthly runoff is …
An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical …
Reliable runoff prediction plays a significant role in reservoir scheduling, water resources
management, and efficient utilization of water resources. To effectively enhance the …
management, and efficient utilization of water resources. To effectively enhance the …
The impact of climate change and human activities on the Aral Sea Basin over the past 50 years
The destruction of the Aral Sea area constitutes one of the world's most infamous ecological
disaster. However, the retreat of the Aral Sea has slowed down in recent years and the …
disaster. However, the retreat of the Aral Sea has slowed down in recent years and the …
An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition
Accurate and reliable monthly runoff predictions are crucial for dispatching, allocation, and
planning management of water resources. This research provides a hybrid forecasting …
planning management of water resources. This research provides a hybrid forecasting …
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction …
J Wang, W Wang, X Hu, M Gu, Y Hong… - Journal of …, 2024 - iwaponline.com
This study proposes a hybrid model based on the combination of Sand Cat Swarm
Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least …
Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least …
Seasonal propagation characteristics from meteorological to hydrological drought and their dynamics in the headstreams of the Tarim River Basin
Z Wang, S Huang, Q Huang, W Duan… - Journal of …, 2022 - journals.ametsoc.org
In the propagation from meteorological to hydrological drought, there are time-lag and step-
abrupt effects, quantified in terms of propagation time and threshold, which play an important …
abrupt effects, quantified in terms of propagation time and threshold, which play an important …
Performance comparison of machine learning models for annual precipitation prediction using different decomposition methods
C Song, X Chen - Remote Sensing, 2021 - mdpi.com
It has become increasingly difficult in recent years to predict precipitation scientifically and
accurately due to the dual effects of human activities and climatic conditions. This paper …
accurately due to the dual effects of human activities and climatic conditions. This paper …
Drought patterns and multiple teleconnection factors driving forces in China during 1960–2018
W Wang, Q Du, H Yang, P **, F Wang, Q Liang - Journal of Hydrology, 2024 - Elsevier
Due to increasing global warming and the frequent occurrence of severe drought risk in
recent decades, many studies have investigated drought in China. However, the …
recent decades, many studies have investigated drought in China. However, the …
A nonlinear hybrid model to assess the impacts of climate variability and human activities on runoff at different time scales
Understanding the contributions of potential drivers on runoff is essential for the sustainable
management of water resources; however, the impacts of climate variability and human …
management of water resources; however, the impacts of climate variability and human …