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The rainfall intensity of annual typhoon is high in Taiwan. It often result in the downstream flooding and losses of economics. Thus, simulation model of rainfall-runoff is an very important subject . In past research, time series model often forecast water level . But time series often have an influence on one time lag for forecasting of data.When reach to peak water level ,the error occurs in the model simulation. So this research combines with Adaptive-Network Based Fuzzy Inference System (ANFIS) to revise time series model. In ANFIS, it will utilize rainfall and water level to set up the model. Estimated the water level trends by the rainfall. To revise one time lag of time series . Expect to improve the error of time series with this method. In addition set up one group ANFIS model. The model utilizes rainfall to estimate water level . According to the result, it is not well that ANFIS simulate water level with rainfall but it can obtain water level trends with rainfall trends . To revise the error of time series about reach to peak water level and it can obtain accurate and steady result.

The response of a neutrally stratified atmospheric surface layer to sudden changes in surface roughness and temperature is investigated by solving the steady-state boundary-layer equations. Near the discontinuities, the distributions of velocity and shear stress are found to be critically dependent upon whether or not the pressure and buoyancy terms are retained in the governing equations. Computed distributions of velocity and shear stress are found to be in good agreement with windtunnel and field data. The growth of the internal boundary layer under neutral conditions for smooth to rough transitions follows the 0.8 power law; however, rough to smooth transitions are associated with a 0.7 power law.

Various synoptic variables are related to satellite radiation data. It is shown that: (1) Vertical motion is related jointly to window radiation and water vapor radiation. (2) Surface relative humidity can be estimated from window radiation and cloud brightness. (3) Ceilings can be estimated from window radiation and cloud brightness.