The IHACRES rainfall–streamflow modelling approach provides a powerful set of techniques for assisting with parametrically efficient regionalization of streamflow response characteristics (unit hydrograph and loss module parameters) from inputs of rainfall, evaporation surrogates and physical catchment descriptor data. Recent work has indicated where further improvements can be made to the mode...

Abstract Daily River Malaba flows recorded from 1999 to 2016 were modelled using seven lumped conceptual rainfall–runoff models including AWBM, SACRAMENTO, TANK, IHACRES, SIMHYD, SMAR and HMSV. Optimal parameters of each model obtained an automatic calibration strategy. Mismatches between observed assessed a total nine “goodness-of-fit” metrics. Capacity the reproduce historical hydrological ex...

nowadays protecting land cover, quality and quantity of water resources are important. surface runoff is one of most important reasons of soil erosion which causes sediment in reservoirs and reduction of land’s fertility and also quality reduction water of rivers. so the main issue is exact prediction of basin runoff to raining events. the hydrologic models are simplified models of real hydrolo...

Streamflow in arid and semi-arid regions tends to be dominated by rapid responses to intense rainfall events. Such events frequently have a high degree of spatial variability, coupled with poorly gauged rainfall data. This sets a fundamental limit on the capacity of any rainfall-runoff model to reproduce the observed flow. The IHACRES model is a parameterically efficient rainfall-runoff model t...

The introduction of complex land surface parameterization schemes into regional climate models (RCMs) has been focused on improving the modeling of land surface feedbacks to the atmosphere. As such the modeling of streamflow was considered a by-product of the water balance and until recently it received relatively little attention. Comparison of four RCMs (RegCM2, MM5/BATS, MM5/SHEELS and MM5/O...

When selecting a rainfall–runoff model for application to an arid region, the literature dictates the need to consider the spatial features of rainfall and the variability and non-linearity of losses, and to match model complexity to the availability and quality of data. In light of this, the metric-conceptual IHACRES model is applied to hourly data from a 734 km2 catchment in Oman, using a sem...

abstarct development of greenhouse gases in future periods not only causes change in average amounts of climate variables but also makes variables of this variability affected. then for sure concerning alternations followed with climate variables’ fluctuations and its average amounts in effecting on runoff would make more reliable results. in this inquiry initially fluctuations and average amou...

Land use and climate change/variability can have a major impact on catchment hydrology and these impacts can be strongly interrelated. This paper is part of a study that has an ultimate objective to isolate the impacts of land use change on streamflow from those of climate variation in the upper Murrumbidgee catchment, south-eastern Australia. The aim is to investigate the consistency or variab...