Citation: Degetto M, Gregoretti C and Bernard M (2015) Comparative analysis of the differences between using LiDAR and contour-based DEMs for hydrological modeling of runoff generating debris flows in the Dolomites. Front. Earth Sci. 3:21. doi: 10.3389/feart.2015.00021 Comparative analysis of the differences between using LiDAR and contour-based DEMs for hydrological modeling of runoff generati...

Evaluation of the hydrological cycle of MATCH driven by NCEP reanalysis data: comparison with GOME water vapor field measurements R. Lang and M. G. Lawrence Max-Planck Institute for Chemistry, Mainz, Germany Received: 15 October 2004 – Accepted: 22 November 2004 – Published: 6 December 2004 Correspondence to: R. Lang ([email protected]) © 2004 Author(s). This work is licensed under a Creat...

Nutrient contamination of surface waters and groundwaters is an issue of growing importance as the risks associated with agricultural run-off escalate due to increasing demands on global food production. In this study, the influence of surface water–groundwater interaction on the nutrient flux in a lowland karst catchment was investigated with the aid of alkalinity sampling and a hydrological m...

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Predicting discharge in ungauged catchments requires knowledge on the distribution and spatial heterogeneity of hydrological soil properties. Because hydrological soil information is not available on a European scale, we reclassified the S...

Contents 1. Introduction 2. Factors determining the development of the hydrographic network and the hydrological regime of rivers during the present period 2.1. Relief 2.2. Climate 2.3. Soils and vegetation 2.4. Economic activity 2.4.1 Water reservoirs 2.4.2 Irrigation 3. Hydrography, hydrological knowledge, river runoff, water use and water availability 3.

Greenhouse gas cycling is an important component of earth system models that are used to project our future climate. Major physical, chemical and biological processes and controls of greenhouse gas cycling are often incorporated into biogeochemistry models of these gases. In particular, the hydrological cycle has long been linked to these models. However, more adequate hydrological models are s...

Abstract. In this paper, a technique is presented for assessing the predictive uncertainty of rainfall-runoff and hydraulic forecasts. The technique conditions forecast uncertainty on the forecasted value itself, based on retrospective Quantile Regression of hindcasted water level forecasts and forecast errors. To test the robustness of the method, a number of retrospective forecasts for differ...

The applicability and performance of the so-called M5 model tree machine learning technique is investigated in a flood forecasting problem for the upper reach of the Huai River in China. In one of configurations this technique is compared to multilayer perceptron artificial neural network (ANN). It is shown that model trees, being analogous to piecewise linear functions, have certain advantages...

In the last decades RS and GIS technology have been increasingly used for hydrological applications. Hydrological parameters estimation is strongly related to land cover composition. This study examines the impact of different approaches to estimate land cover distribution on the prediction and the spatial pattern of surface runoff. Land cover fractions are derived at sub-pixel scale from CHRIS...

Reliable prediction of subsurface flow and contaminant transport depends on the accuracy with which the values and spatial distribution of process-relevant model parameters can be identified. Successful characterization methods for complex soil systems are based on (1) an adequate parameterization of the subsurface, capable of capturing both random and structured aspects of the heterogeneous sy...