[1] There is growing interest in the application of ‘‘continuous simulation’’ conceptual rainfall-runoff models for flood frequency estimation as an adjunct to event-based or statistical design methodology. The approach has advantages that stem from the use of models with continuous water balance accounting. Conceptual rainfall-runoff models usually require calibration, which in turn requires g...

this paper describes a simple, physically-based conceptual model utilizing watershed drainage characteristics for rainfall-runoff simulation. this conceptual physiographic model is essentially based on the work of najafi (2003), which has led to a model compris-ing the main tributary subwatersheds and a single main channel subwatershed. the ki-nematic wave (kw) theory is used to describe flow o...

in this research introduced the lapsus model as a runoff, erosion and sediment model in iran. this model for the first time has operatedin iran at kakhk paired catchment of gonabad. lapsus model is a landscape evolution model that can estimate the runoff, erosion and sediment at the four stage include: calculate the effective rainfall, runoff routing, calculate the capacity of sediment transpor...

It is widely recognised that the Murray-Darling Basin (MDB) in south-eastern Australia has been in the grip of a serious drought for many years. Over the period 1997−2006, mean annual rainfall has been approximately 16 percent lower than the long-term (1895−2006) average across the MDB. Runoff has been 39 percent lower over the same period. The continuing drought in the MDB has brought the need...

Lumped conceptual rainfall runoff models have been widely used in hydrology for many years. These models are usually able to describe most important processes in a catchment through a set of solvable equations. Thus, in many cases they are preferably over full physically-based models since they have such advantages: basic physicallybased and simplicity. However, many parameters of these models ...

rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...

Rainfall-runoff models are frequently used for assessing climate risks by predicting changes in streamflow and other hydrological processes due to anticipated anthropogenic change, variability, land management. Historical observations commonly calibrate empirically the performance of conceptual mechanisms. As a result, calibration procedures limited when extrapolated novel conditions under futu...

arid and semi-arid regions of the world are confronted with limited water resources. a large part of iran is arid and semi-arid and rainfall in arid and semi-arid regions is typically meager, irregular and highly variable. this irregularity affects the hydrological cycle and water resources. investigating the hydrology of the arid and semi arid regions is essential to know this environment and ...