A CN-Based Ensembled Hydrological Model for Enhanced Watershed Runoff Prediction

A CN-Based Ensembled Hydrological Model for Enhanced Watershed Runoff Prediction

A major structural inconsistency of the traditional curve number (CN) model is its dependence on an unstable fixed initial abstraction, which normally results in sudden jumps in runoff estimation. Likewise, the lack of pre-storm soil moisture accounting (PSMA) procedure is another inherent limitation of the model. To circumvent those problems, we used a variable initial abstraction after ensemb...

Application of the answers model for prediction of runoff and sediment from a small agricultural watershed of iran

Provide a model for prediction of hydrological drought in Karoon-1 basin

evaluating the impact of climate change on runoff using hydrological model (case study: bazoft-samsami watershed)

increasing greenhouse gases in recent decades and increasing its resulting temperature has causes the imbalance of the earth’s climate system and widespread climate changes in most regions of earth planet. development strategic policy in this area has been forced with a big challenge because of the need for water in the central region on the one hand and water resource constraints on the other ...

Rainfall-runoff Prediction Based on Artificial Neural Network (A Case Study: Jarahi Watershed)

The present study aims to utilize an Artificial Neural Network (ANN) to modeling the rainfallrunoff relationship in a catchment area located in a semiarid region of Iran. The paper illustrates the applications of the feed forward back propagation for the rainfall forecasting with various algorithms with performance of multi-layer perceptions. The monthly stream of Jarahi Watershed was analyzed ...