State-of-the-art development of two-waves artificial intelligence modeling techniques for river streamflow forecasting
Streamflow forecasting is the most well studied hydrological science but still portray
numerous unknown knowledge. The conventional physical-based model is unable to yield a …
numerous unknown knowledge. The conventional physical-based model is unable to yield a …
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, developing a reliable stage-discharge rating curve is a fundamental …
flood warnings; thus, developing a reliable stage-discharge rating curve is a fundamental …
Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques
The development of the stage-discharge relationship is a fundamental issue in hydrological
modeling. Due to the complexity of the stage-discharge relationship, discharge prediction …
modeling. Due to the complexity of the stage-discharge relationship, discharge prediction …
[HTML][HTML] Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm
An accurate assessment of energy loss across dams and weir systems is a critical technical
and monetary remedy for understanding the hydraulic system's downstream morphology …
and monetary remedy for understanding the hydraulic system's downstream morphology …
Hydrological time series prediction by extreme learning machine and sparrow search algorithm
B Feng, Y Xu, T Zhang, X Zhang - Water Supply, 2022 - iwaponline.com
In general, accurate hydrological time series prediction information is of great significance
for the rational planning and management of water resource systems. Extreme learning …
for the rational planning and management of water resource systems. Extreme learning …
Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of …
S Shadkani, S Hashemi, A Pak, AB Lahijan - Earth Science Informatics, 2024 - Springer
This study explores the application of machine learning algorithms for the prediction of pan
evaporation (Ep), which is a critical factor in water resource management for the assessment …
evaporation (Ep), which is a critical factor in water resource management for the assessment …
Modelling the future climate impacts on hydraulic infrastructure development in tropical (peri-) urban region: Case of Kigali, Rwanda
P Iradukunda, EM Mwanaumo, J Kabika - Heliyon, 2024 - cell.com
The current global climate has shown a significant change, mostly resulting from human-
induced activities. Frequent experiences of extreme rainstorms, deadly landslides, and …
induced activities. Frequent experiences of extreme rainstorms, deadly landslides, and …
Integrating a GIS-based approach and a SWAT model to identify potential suitable sites for rainwater harvesting in Rwanda
The increasing demand for water results in the overexploitation of water resources. This
situation calls for more effective water management alternatives including rainwater …
situation calls for more effective water management alternatives including rainwater …
Multivariate modeling of river water withdrawal using a hybrid evolutionary data-driven method
Water resources are one of the most important features of the environment to meet human
needs. In the current research, morphological, quantitative and qualitative hydrological, and …
needs. In the current research, morphological, quantitative and qualitative hydrological, and …
Machine Learning Framework with Feature Importance Interpretation for Discharge Estimation: A Case Study in Huitanggou Sluice Hydrological Station, China
S He, G Niu, X Sang, X Sun, J Yin, H Chen - Water, 2023 - mdpi.com
Accurate and reliable discharge estimation plays an important role in water resource
management as well as downstream applications such as ecosystem conservation and …
management as well as downstream applications such as ecosystem conservation and …