The prediction uncertainty of a hydrologic model is closely related to model formulation and the uncertainties in model parameters and inputs. Currently, the foremost challenges concern not only whether hydrologic model outputs match observations, but also whether or not model predictions are meaningful and useful in the contexts of land use and climate change. The latter is difficult to determ...

Soil and water conservation measures can impact hydrological cycle, but quantitative analysis of this impact is still difficult in a watershed scale. To assess the effect quantitatively, a three-dimensional finite-difference groundwater flow model (MODFLOW) with a surface runoff model-the Soil Conservation Service (SCS) were calibrated and applied based on the artificial rainfall experiments. T...

Estimation of runoff water quality parameters is required to determine appropriate water quality management options. Various models are used to estimate runoff water quality parameters. However, most models provide event-based estimates of water quality parameters for specific sites. The work presented in this paper describes the development of a model that continuously simulates the accumulati...

An approach is described to the calibration of a conceptual rainfall-runoff model, the Probability Distributed Model (PDM), for estimating flood frequencies at gauged sites by continuous flow simulation. A first step was the estimation of routing store parameters by recession curve analysis. Uniform random sampling was then used to search for parameter sets that produced simulations achieving t...

Abstract This paper presents the inclusion of the soil-vegetationatmosphere interactions in a proven conceptual model. This new scheme simulates the daily streamflows over small catchments by taking into account the average characteristics of the surface (soil and vegetation) for the calculation of actual evaporation and évapotranspiration. The model also simulates the daily evolution of soil m...

The uncertainties arising from the problem of identifying a representative model structure and model parameters in a conceptual rainfall-runoff model were investigated. A conceptual model, the HBV model, was applied to the mountainous Brugga basin (39.9 km") in the Black Forest, southwestern Germany. In a first step, a Monte Carlo procedure with randomly generated parameter sets was used for ca...

[1] Motivated by the recent increasing availability of global remote sensing data for estimating precipitation and describing land surface characteristics, this note reports an approximate assessment of quasi-global runoff computed by incorporating satellite rainfall data and other remote sensing products in a relatively simple rainfall-runoff simulation approach: the Natural Resources Conserva...

Current regionalization techniques for conceptual rain-fall runoff models employ linear/nonlinear regression functions. The model parameters are described as functions (assumed a priori) of catchment descriptors. As the hydrological system is highly non-linear and complex, no single parametric function can be a holistic or near-reality representation of the core underlying processes. In this pa...

1 Agrocampus Rennes, Laboratoire Physique des Surfaces Naturelles et Génie Rural, 65 Rue de Saint Brieuc, 35042 Rennes, France 2 INRA, Laboratoire d’étude des Interactions entre Sol – Agrosystème – Hydrosystème UMR LISAH AgroM-INRAIRD, 2 Place Pierre Viala, 34060 Montpellier, France * now at: HydroSciences Montpellier, Université Montpellier 2, Case courrier MSE Place Eugène Bataillon, 34095 Mo...