In this paper, we propose a scenarioplanning based twostage stochastic programming model for location and allocation of emergency resources after the emergency occurs. Considering the uncertainty of demand and transportation time, we use mixgenetic algorithms as solution strategy which is proved to be effective through the results of the numerical example. More importantly, decisionmakers can choose different scheme by changing the demand fill rate based on their preference of system cost and efficiency. The results indicate that lowering the demand fill rate and rescue limit time to reduce system cost is uneconomical.