[HTML][HTML] A comparison of performance of SWAT and machine learning models for predicting sediment load in a forested Basin, Northern Spain
In water bodies, sediment transport is a potential source of numerous negative effects on
water resource projects and can damage environmental services. Two machine learning …
water resource projects and can damage environmental services. Two machine learning …
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 …
[HTML][HTML] Calibration of SWAT and two data-driven models for a data-scarce mountainous headwater in semi-arid Konya closed basin
C Koycegiz, M Buyukyildiz - Water, 2019 - mdpi.com
Hydrologic models are important tools for the successful management of water resources. In
this study, a semi-distributed soil and water assessment tool (SWAT) model is used to …
this study, a semi-distributed soil and water assessment tool (SWAT) model is used to …
Assessment of the effective width of riparian buffer strips to reduce suspended sediment in an agricultural landscape using ANFIS and SWAT models
Z Sirabahenda, A St-Hilaire, SC Courtenay… - Catena, 2020 - Elsevier
Riparian buffers are important features that help to mitigate suspended sediment loads
within rivers running through agricultural landscapes. Evaluating their effectiveness for …
within rivers running through agricultural landscapes. Evaluating their effectiveness for …
[HTML][HTML] Estimation of instantaneous peak flow using machine-learning models and empirical formula in peninsular Spain
The design of hydraulic structures and flood risk management is often based on
instantaneous peak flow (IPF). However, available flow time series with high temporal …
instantaneous peak flow (IPF). However, available flow time series with high temporal …
Improving annual streamflow prediction by extracting information from high-frequency components of streamflow
L Wang, Y Guo, M Fan - Water Resources Management, 2022 - Springer
Annual streamflow prediction is of great significance to the sustainable utilization of water
resources, and predicting it accurately is challenging due to changes in streamflow have …
resources, and predicting it accurately is challenging due to changes in streamflow have …
Ranking of hybrid wavelet-AI models by TOPSIS method for estimation of daily flow discharge
This research uses the multi-layer perceptron–artificial neural network (MLP-ANN), radial
basis function–ANN (RBF-ANN), least square support vector machine (LSSVM), adaptive …
basis function–ANN (RBF-ANN), least square support vector machine (LSSVM), adaptive …
Evaluating ability of three types of discrete wavelet transforms for improving performance of different ML models in estimation of daily-suspended sediment load
The main aims of this study are (a) evaluating effects of discrete wavelet transforms (DWTs)
on the machine learning (ML) models,(b) evaluating ability of two types of ML models …
on the machine learning (ML) models,(b) evaluating ability of two types of ML models …
Investigating the extrapolation performance of neural network models in suspended sediment data
AO Pektas, HK Cigizoglu - Hydrological Sciences Journal, 2017 - Taylor & Francis
Suspended sediment modelling is a quite significant issue in hydrology. The prediction of
suspended sediment has taken the attention of several scientists in water resources. With …
suspended sediment has taken the attention of several scientists in water resources. With …
Analysis of dissolved oxygen influencing factors and concentration prediction using input variable selection technique: A hybrid machine learning approach
W Liu, S Lin, X Li, W Li, H Deng, H Fang, W Li - Journal of Environmental …, 2024 - Elsevier
Accurate quantification of dissolved oxygen (DO) is critically important for the protection and
management of aquatic ecosystems. Successful applications have utilized mechanistic and …
management of aquatic ecosystems. Successful applications have utilized mechanistic and …