ABSTRACT
Entropy has been widely used for rainfall network evaluation or optimization, but limited researches focused on the seasonal effect. This paper proposed an entropy based multicriterion method for evaluation of rainfall monitoring networks. We applied the method to a rainfall monitoring network containing 45 stations in the southwestern Taihu Lake Basin of China. Two indexes, separately accounting for information content and redundancy, were integrated with ideal point method to form the evaluation criterion. Values of the objective function were then computed to identify the significant stations and areas. In particular, we employed the whole year, flood season and non-flood season series respectively for computation and generated corresponding results.
