The potential threat of mine drainage to groundwater resources
S Tomiyama, T Igarashi - Current Opinion in Environmental Science & …, 2022 - Elsevier
Groundwater is an extremely valuable freshwater resource for drinking and agricultural use,
and its value is increasing with global population growth. One of the potential threats to its …
and its value is increasing with global population growth. One of the potential threats to its …
Application of neural network in metal adsorption using biomaterials (BMs): a review
With growing environmental consciousness, biomaterials (BMs) have garnered attention as
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
Predicting water table depth over the long-term in agricultural areas presents great
challenges because these areas have complex and heterogeneous hydrogeological …
challenges because these areas have complex and heterogeneous hydrogeological …
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Monthly streamflow forecasting is required for short-and long-term water resources
management especially in extreme events such as flood and drought. Therefore, there is …
management especially in extreme events such as flood and drought. Therefore, there is …
Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model
Large-scale reservoirs play an essential role in water resources management for agriculture
irrigation, water supply and flood controls. However, we need robust reservoir operation …
irrigation, water supply and flood controls. However, we need robust reservoir operation …
A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data
Physically distributed hydrological models are effective in hydrological simulations of large
river basins, but the complex characteristics of hydrological features limit their application …
river basins, but the complex characteristics of hydrological features limit their application …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
Comparison of self-organizing map, artificial neural network, and co-active neuro-fuzzy inference system methods in simulating groundwater quality: geospatial …
Water quality experiments are difficult, costly, and time-consuming. Therefore, different
modeling methods can be used as an alternative for these experiments. To achieve the …
modeling methods can be used as an alternative for these experiments. To achieve the …
Advances of metaheuristic algorithms in training neural networks for industrial applications
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
Input attributes optimization using the feasibility of genetic nature inspired algorithm: application of river flow forecasting
In nature, streamflow pattern is characterized with high non-linearity and non-stationarity.
Developing an accurate forecasting model for a streamflow is highly essential for several …
Developing an accurate forecasting model for a streamflow is highly essential for several …