Due to biases in the output of climate models, a bias correction is often needed to make the output suitable for use in hydrological simulations. In most cases only the temperature and precipitation values are bias corrected. However, often there are also biases in other variables such as radiation, humidity and wind speed. In this study we tested to what extent it is also needed to bias correc...

1 This paper introduces the development of a dynamic parallel algorithm for conducting 2 hydrological model simulations. This new algorithm consists of a river network 3 decomposition method and an enhanced master-slave paradigm. The decomposition 4 method is used to divide a basin river network into a large number of subbasins, and the 5 enhanced master-slave paradigm is adopted to realize the...

Hydrological alternation can dramatically influence riparian environments and shape riparian vegetation zonation. However, it was difficult to predict the status in the drawdown area of the Three Gorges Reservoir (TGR), because the hydrological regime created by the dam involves both short periods of summer flooding and long-term winter impoundment for half a year. In order to examine the effec...

Hydrological Simulation Program Fortan (HSPF) is a mathematical modelling program developed by the United States Environmental Protection Agency (EPA). HSPF is used for simulating of watershed hidrology and water quality. In this paper, an evolutionary algorithm is applied to automated watershed model calibration. The calibration stage of the model is very important in order to reduce the error...

As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models – which attempt to represent real-world behaviour – will always remain imperfect. To make progress on the long road towards improved models, we need demanding tests, i.e. true crash tests. Efficient testing requires large and varied data sets to develop and assess hydrological models, to ensur...

During the past two decades, geographic information systems (GIS) have played a more significant role in the realm of science. This paper reviews some representative approaches about the integration of GIS and hydrological modeling. Among the different kinds of hydrological modeling this paper will mainly focus on urban flooding modeling, surface water quality modeling, and groundwater vulnerab...

abstract major of hydrological systems are very complicated and it is not possible to understand them completely, therefore simplification is necessary to understand or control of a part of the system behavior such as water balance relationships. hydrological models are simple structure of complicated systems in water cycle in the nature. the first goal of a hydrological model is function predi...

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) information theory, (A)IT, to discuss some underlying issues regarding this question. In the information-theoretical framework, there is a stron...

The hydrological periods drive the structure and organization of aquatic communities in semiarid regions. We hypothesize that a decrease of the precipitation during the dry period will favor the development of the periphytic algal community, leading to higher richness and density in this period. To test this hypothesis, we investigated the changes in the periphytic algal community structure in ...

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...