Due to the fact that there are problems requiring an urgent solution in the current emergency logistics, such as unreasonable network layout and inefficiency distribution of emergency supplies in emergency logistics distribution centers, an optimization model is proposed for the location selection of urban emergency logistics distribution centers after flood disasters to solve the above problems. Firstly, the grey correlation evaluation method is adopted for an evaluation of the relative intensity of flood disasters in various regions, thus obtaining the flood disaster intensity coefficients for each region. Secondly, a site selection optimization model is constructed for emergency logistics distribution centers that meets multiple constraints, with multiple factors taken into consideration, i.e. different flood disaster intensity coefficients in different regions, different demands for emergency supplies, and distribution costs. Next, based on the characteristics of the model, an immune algorithm is designed to solve the problem. Finally, an analysis is conducted by using Shanghai, s sudden large-scale flood disaster as a hypothetical case. The results indicate that, considering the intensity of flood disasters, a reasonable emergency logistics distribution center location scheme can be obtained quickly by using this proposed location selection method.