Research of Hydrological Simulation Based on Artificial Neural Networks;

Application of SCS model to hydrological simulation at an agricultural watershed scale

Finally,the causes of runoff variation in Sanchuanhe River Basin were analyzed with hydrological simulation method.

Using the TOPMODEL model based on the topographic index,the effect of DEM grid size and flow allocation method on parameters and hydrological modeling were analyzed.

Based on brief review on history of hydrological modeling, the problems in modeling and possible solutions were discussed, and the propect of hydrological modeling was made, too.

This paper reviews the effects of global warming on hydrological regimes and water resources in China based on research methodology, generating of future climate change scenarios and hydrological modeling.

On the basis of hydrology simulation algorithm,we propose a structural model of the depressions and flats,and study the topological relations when forming the complex depressions.

And hydrologic simulation is still a challenge to hydrologist.

Conceptual hydrological models have currently been a powerful tool for environmental change impact on hydrology and water resources,and large-scale hydrologic simulation is key technology of climate change effect assessment.

Rainfall data collection and preprocessing is a huge task in watershed hydrologic simulation study.

Application of systematology method in hydrology modeling technology;