A rainfall–runoff (RR) model considering the spatial variation of rainfall, soil infiltration capability and soil storage capacity over a catchment and based on probability distribution functions, is used for rainfall–runoff modelling. The model combines infiltration excess (Horton) and saturation excess (Dunne) mechanisms. Moreover, it is applied to a data sparse catchment. Model parameters of...

In this paper a Monte Carlo procedure for deriving frequency distributions of extreme discharges starting from a simplified description of rainfall and surface runoff processes and using regional data is presented. The procedure is based on two modules: a stochastic rainfall generator module and a catchment response module. In the rainfall generator module the rainfall storm, i.e. the maximum r...

Drought is universally acknowledged as a phenomenon associated with scarcity of water. The Standardized Precipitation Index (SPI) expresses the actual rainfall as standardized departure from rainfall probability distribution function. In this study severity and spatial pattern of meteorological drought was analyzed in the Puruliya District, West Bengal, India using multi-temporal SPI. Daily gri...

High-elevation tropical islands are ideally suited for examining the factors that determine species distribution, given the complex topographies and climatic gradients that create a wide variety of habitats within relatively small areas. New Caledonia, a megadiverse Pacific archipelago, has long focussed the attention of botanists working on the spatial and environmental ranges of specific grou...

ity in rainfall erosivity and associated sediment yield. Rainfall erosivity and sediment yield can be measured Rainfall depth within small semiarid watersheds can have high much more cost effectively than runoff, an important spatial variability, but spatial variability in rainfall erosivity, a more direct determinant of sediment yield, has not been quantified. Using consideration when studying...

The accurate evaluation of the precipitation’s time–spatial structure is a critical step for rainfall–runoff modelling. Particularly for small catchments, the variability of rainfall can lead to mismatched results. Large errors in flow evaluation may occur during convective storms, responsible for most of the flash floods in small catchments in the Mediterranean area. During such events, we may...

Dynamic TOPMODEL is applied to the Maimai M8 catchment (3.8 ha), New Zealand using rainfall–runoff and water table information in model calibration. Different parametric representations of hillslope and valley bottom landscape units (LU’s) were used to improve the spatial representation of the model structure. The continuous time series water table information is obtained from tensiometric obse...