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...

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A data mining, regression tree algorithm M5 was used to review the understanding of mutual hydrological and seasonal settings which control the streamwater nitrate flushing during hydrological events within a forested watershed in the southwestern part of Slovenia, characterized by distinctive flushing, almost torrential hydrological regime. 5 The basis for the research presented an extensive d...

Drought stress is a dominant constraint to crop production. Breeding crops with adapted root systems for effective uptake of water represents a novel strategy to increase crop drought resistance. Due to complex interaction between root traits and high diversity of hydrological conditions, modeling provides important information for trait based selection. In this work we use a root architecture ...

Grid-oriented, physically based catchment models calculate fields of various hydrological variables relevant to phosphorus detachment and transport. These include (i) for surface transport: overland flow depth and flow in the coordinate directions, sediment load, and sediment concentration and (ii) for subsurface transport: soil moisture and hydraulic head at various depths in the soil. These v...

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...

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...

Watershed management and early warning flood forecasting system is becoming more and more important especially in relation to anticipated climate change. The characteristics and the validation of the Cetemps HYdrological Model (CHYM) developed by the hydrological group of the Cetemps Center of Excellence are described. CHYM is a grid based model and the main physical processes concerning the hy...