Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for
prediction and forecasting in water resources and environmental engineering. However …
prediction and forecasting in water resources and environmental engineering. However …
Watershed modeling and its applications: A state-of-the-art review
EB Daniel, JV Camp, EJ LeBoeuf… - The Open Hydrology …, 2011 - benthamopen.com
Advances in the understanding of physical, chemical, and biological processes influencing
water quality, coupled with improvements in the collection and analysis of hydrologic data …
water quality, coupled with improvements in the collection and analysis of hydrologic data …
Evaluating the application of the statistical index method in flood susceptibility map** and its comparison with frequency ratio and logistic regression methods
M Shafapour Tehrany, L Kumar… - … , Natural Hazards and …, 2019 - Taylor & Francis
Statistical methods are the most popular techniques to model and map flood-prone areas.
Although a wide range of statistical methods have been used, application of the statistical …
Although a wide range of statistical methods have been used, application of the statistical …
River suspended sediment modelling using the CART model: A comparative study of machine learning techniques
Suspended sediment load (SSL) modelling is an important issue in integrated
environmental and water resources management, as sediment affects water quality and …
environmental and water resources management, as sediment affects water quality and …
HydroTest: a web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts
This paper presents details of an open access web site that can be used by hydrologists and
other scientists to evaluate time series models. There is at present a general lack of …
other scientists to evaluate time series models. There is at present a general lack of …
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
This paper traces two decades of neural network rainfall-runoff and streamflow modelling,
collectively termed 'river forecasting'. The field is now firmly established and the research …
collectively termed 'river forecasting'. The field is now firmly established and the research …
Prediction the groundwater level of bastam plain (Iran) by artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS)
S Emamgholizadeh, K Moslemi, G Karami - Water resources management, 2014 - Springer
Prediction of the groundwater level (GWL) fluctuations is very important in the water
resource management. This study investigates the potential of two intelligence models …
resource management. This study investigates the potential of two intelligence models …
Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques
Time series modeling is necessary for the planning and management of reservoirs. More
recently, the soft computing techniques have been used in hydrological modeling and …
recently, the soft computing techniques have been used in hydrological modeling and …
Prediction and simulation of monthly groundwater levels by genetic programming
E Fallah-Mehdipour, OB Haddad, MA Mariño - Journal of Hydro …, 2013 - Elsevier
Groundwater level is an effective parameter in the determination of accuracy in groundwater
modeling. Thus, application of simple tools to predict future groundwater levels and fill-in …
modeling. Thus, application of simple tools to predict future groundwater levels and fill-in …
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia
Accurately predicting river flows over daily timescales is considered as an important task for
sustainable management of freshwater ecosystems, agricultural applications, and water …
sustainable management of freshwater ecosystems, agricultural applications, and water …