A Stochastic Simulation Model for Monthly River Flow in Dry Season

River Flow Simulation Using SWAT Physically Based Model in Barandouzchay of Urmia Lake River Basin

Nowadays, there are too many models in the world for simulation of hydrological processes, such as the SWAT physically based model. The SWAT model is a continuous and physically based hydrologic model that is the smallest unit in this model is Hydrologic Response Unit, and all hydrological processes are simulated in each of these units. This model can simulate runoff, sedimentation, erosion and...

A seasonal periodic long memory model for monthly river flows

Based on simple time series plots and periodic sample autocorrelations, we document that monthly river ow data display long memory, in addition to pronounced seasonality. In fact, it appears that the long memory characteristics vary with the season. To describe these two properties jointly, we propose a seasonal periodic long memory model and t it to the well-known Fraser river data (to be obta...

Habitat Simulation Technique as a Powerful Tool for Instream Flow Needs Assessment and River Ecosystem Management

Instream flow needs (IFN) assessment studies are performed to provide guidelines for stream water management and to assess the impacts of different water projects such as weirs, dams and stream diversions on the available fish habitat. The physical habitat simulation is one of the IFN assessment methods and also a powerful tool in management of river ecosystem that has not become a common metho...

Stochastic disaggregation of monthly rainfall data for crop simulation studies

Stochastic weather generators are useful for producing daily sequences that reproduce climatic statistics aggregated to, e.g., a monthly time scale, for use with biological simulation models. This paper describes a stochastic weather generator that disaggregates monthly rainfall by adjusting input parameters or by constraining output to match target rainfall totals, and demonstrates its use wit...

A Stochastic Optimization Model for Groundwater Management