In this study, a framework to project the potential future climate change impacts on extreme hydrological drought events in the Weihe River basin in North China is presented. This framework includes a largescale hydrological model driven by climate outputs from a regional climate model for historical streamflow simulations and future streamflow projections, and models for univariate drought ass...

The potential of an artificial neural network to perform simple non-linear hydrological transformations is examined. Four neural network models were developed to emulate different facets of a recognised non-linear hydrological transformation equation that possessed a small number of variables and contained no temporal component. The 5 modeling process was based on a set of uniform random distri...

The hydrological scienti c and operational communities are faced with new challenges. There is a demand for detailed water information for large regions and new environmental issues to deal with, which request advanced technical infrastructure merged with up-dated hydrological knowledge. Traditionally, the hydrological community is disaggregated. In this paper we suggest a collaborative approac...

Sustainable water management requires the quantification of the spatial and temporal changes of water balance variables. Fully distributed hydrological simulations of these variables are especially in regions with weak infrastructure challenging, because the required meteorological input data are often not available in a sufficient spatial and temporal resolution. One possibility to deal with t...

A hydrological model for real time flood forecasting to Civil Protection services requires reliability and rapidity. At present, computational capabilities overcome the rapidity needs even when a fully distributed hydrological model is adopted for a large river catchment as the Upper Po river basin closed at Ponte Becca (nearly 40 000 km2). This approach allows simulating the whole domain and o...

The closure problem of representing hydrological boundary fluxes given the state of the system has been described as the scientific ‘Holy Grail’ of hydrology. This relationship between storage state and flux should be hysteretic and scale dependent because of the differences between velocities and celerities in a hydrological system—effectively velocities are storage controlled, and celerities ...

From algorithmic information theory, which connects the information content of a data set to the shortest computer program that can produce it, it is known that there are strong analogies between compression, knowledge, inference and prediction. The more we know about a data generating process, the better we can predict and compress the data. A model that is inferred from data should ideally be...

A strong environmental change has been recognized in China with the impacts of climate change and intensive human activities on land use. In this paper, first environmental changes in China, such as those caused by human activities, land use, climate change, and social and economic development, are presented. Secondly, the hydrological prediction models and systems and their application in Chin...

The Shuttle Radar Topography Mission (SRTM) delivered a digital terrain model of better spatial resolution and accuracy than traditional free global DEM datasets at near-global coverage and made a wide range of detailed hydrologic applications feasible. In this study, the SRTM data is compared with the digitalized topographic contour DEM in hydrological analysis over the QingJiang catchment in ...