Understanding the changes in hydrology of coastal forested wetlands induced by climate change is fundamental for developing strategies to sustain their functions and services. This study examined 60 years of climatic observations and 30 years of hydrological data, collected at the Santee Experimental Forest (SEF) in coastal South Carolina. We also applied a physically-based, distributed hydrolo...

In an attempt to provide a unified scheme for the simulation of changing behaviours of hydrological systems, a theoretical framework for stationary and non-stationary modelling is presented. The main triggers for hydrological change are reviewed, their impact on the long term properties of the inherent system are analysed and theoretical solutions are proposed for their representation. Model ca...

This paper presents an analysis of present and future hydrological conditions at the Forsmark site in Sweden, which has been proposed as the site for a geological repository for spent nuclear fuel. Forsmark is a coastal site that changes in response to shoreline displacement. In the considered time frame (until year 10 000 AD), the hydrological system will be affected by landscape succession as...

This study is a part of an on-going Danish research project HYACINTS. A key outcome of the project is a fully coupled model setup using the HIRHAM regional climate model and the MIKE SHE hydrological model with the intent of improving hydrological predictions. We here present results from the initial studies prior to the coupling performed to aid in the decision of optimal climate model domain ...

A watershed simulation and forecasting system is widely used in Finland for simulation of hydrological cycle and for making real-time forecasts. The system is based on a watershed model. This was based originally on the HBV-model and simulates the hydrological cycle using standard meteorological data. The model simulates the whole land area of Finland, including cross-border watersheds. This is...

Two recent studies have suggested that neural network modelling offers no worthwhile improvements in comparison to the application of weighted linear transfer functions for capturing the non-linear nature of hydrological relationships. The potential of an artificial neural network to perform simple non-linear hydrological transformations under controlled conditions is examined in this paper. Ei...

Water resources management is critical due to its importance for human lives. In this context, we have developed a web-based system for hydrological applications that integrates geospatial processing services and mapping mashups to provide an interactive and user-friendly geoportal interface to the configuration and execution of scientific models. The server side provides hydrological model log...

Accompanying the continuous development of sensor network technology, sensors worldwide are constantly producing observation data. However, the sensors and their data from different observation platforms are sometimes difficult to use collaboratively in response to natural disasters such as floods for the lack of semantics. In this paper, a hydrological sensor web ontology based on SSN ontology...

Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent developments and achievements in this research area. In this paper we present the findings from the 2007 workshop which focused on advances and visio...

Hydrological multivariate analysis has been widely studied using copula-based modelling, in which marginal distribution inference is one of the key issues. The main object of this study is to discuss the applicability of the principle of maximum entropy (POME) in marginal distribution inference, thus to develop a POME-copula framework to analyse the dependence of hydrological variables. Margina...