In this article,comprehensive predictors are presented by using former atmospheric circulation,sea surface temperature(SST),circulation characteristic data and EOF decomposition method.

Based on the correlation analysis and EOF decomposition method,comprehensive predictors are constructed from those preliminarily selected in the springtime global atmospheric circulation field.

1,2002,the combined predictor of Nanjing s rainfall in autumn is obtained by correlation coefficient verifying.

We use the set of 14 factors including seismicity and the precursors in the fixed points to establish the comprehensive evaluation matrix and the evaluation model of comprehensive prediction of seismic magnitude and apply them to earthquake prediction in Tianjin and its neighboring areas.

According to analogy analysis the formation conditions,deformation states,inducing factors of landslides,comprehensive prediction for Landslides may be realized,based on establishing prediction models by analyzing the features of displacement-time on the accelerated deformation and failure stage for landslides.

Application of the 3 comprehensive forecasting methods in the medium and short term earthquake prediction in East China Region;

Firstly,screen for the forecasting factors by adopting stepwise regression analysis;and then,establish predictive equation by use of the forecasting factors with better effects.

At first,based on the weather characteristics of Meiyu period,in terms of the statistical and dynamic method,the predictors are searched in data of HLAFS(High resolution Limited Area Forecast System).

Based on the historical material of T106 model and observed data of stations, we obtain the predictor after handling the data, and build the MOS prediction equations about the temperature, wind, cloud and precipitation of 80 stations in Gansu Province.

The feature parameters of solar active region are selected as predictor.