Using the distributed hydrology model system (HMS) and Gographical Information System and the technology of remote sensing for data spatial analysis

a land surfacehydrology coupled model (LSX-HMS) was constructed in the Huaihe river basin. Measured hydrologic data were used to calibrate and validate the model. The NashSutcliffe coefficient for hydrologic simulations ranges from 0.791 to 0.854

indicating that LSX-HMS can be used for studying hydrologic processes responses to land use and cover change (LUCC) in the Huaihe river basin. Five extreme land cover scenarios are constructed with each comprising of one single type of land cover in the Huaihe river basin. The hydrologic processes for each cover scenario are simulated by using LSX-HMS. The simulated results indicate that evergreen broadleaf forest cover scenarios can significantly alter evapotranspiration and streamflow in the studied basin. The annual evapotranspiration increases 5.6% and the annual depth of streamflow decreases 6.7%; the annual depth of streamflow under grass cover scenario increases 6.9%. In dry years

the soil moisture content varies most rapidly under the grass cover scenarios. The modeling of streamflow's spacial distribution with LSX-HMS model shows that there is a great difference under various scenarios. This research provides a basis for developing

utilizing

allocating and managing water and soil resources in the Huaihe river basin.