Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …

Forecasting of intermittent stream flow is necessary for water resource planning and
management at catchment scale. Forecasting of extreme events and events outside the …

Wavelet based flood forecasting models are known to perform better than conventional
models, yet the effect of the way wavelet components are combined to develop a model on …

Abstract Undeniably application of Artificial Intelligence (AI) has grown increasingly through
past years. Hydrology also has its portion of utilization of AI-based models. Among different …

In this paper, an efficient irrigation system is proposed based on computing
evapotranspiration (ET) and the required irrigation quantity using fuzzy inference …

The inherent complexities in hydrologic phenomena have been turned into a barrier to get
accurate prediction by conventional linear methods. Therefore, there is an increasing …

In this study, wavelet support vector machine (WSWM) model is proposed for daily
suspended sediment (SS) prediction. The WSVM model is achieved by combination of two …

Water level, as an intuitive factor of hydrologic conditions, is of great importance for lake
management. In this study, periodic structures of water level and its fluctuations in Lake …

WANFIS, a conjunction model of discreet wavelet transform (DWT) and adaptive neuro-fuzzy
inference system (ANFIS) was developed for forecasting the current-day flow in a river when …

Sažetak Present-day advances in artificial intelligence, as a forecaster for hydrological
events, have led to numerous changes in forecasting. The wavelet support vector machine …