Study on scheme optimization of urban flood disaster prevention and reduction
The decision in flood disaster prevention and reduction will affect the evaluation of flood disaster directly. How to apply the natural, economic and social information, through anticipatory analysis, to ensure the minimum damage after practicing certain optimum scheme is a core problem in the flood disaster prevention and reduction decision-making. In this paper, the factors affecting this decision-making are analyzed, the fuzzy optimum selection and neural network are applied in scheme optimization of urban flood disaster prevention and reduction, and the model of scheme optimization is established.
Analysis of the Disaster Prevention Marking System for Urban Public Building
The denseness of urban public buildings and the complication of the underground space spur the enhancement of disaster prevention and mitigation planning. As a result, for the urban public buildings around the densely populated area, the establishment of public buildings disaster prevention system in urban and the study on some related questions lay the basis of disaster prevention and mitigation. Since the concept of public building have the different definitions in the national standards and different types of buildings require different signs on disaster prevention, the category of public buildings has been redefined according to international normative standards. Furthermore, the research on the types, colors, sizes and position of disaster prevention signs has been done according to the internal, external of building and evacuation routes aspects. Finally, the basic functions of disaster prevention sign system in and around the buildings and the settings of the disaster prevention sign system of different types of public buildings are proposed.
Representation of systems disturbed by wide band noise
In this paper, a method of handling and working with wide band noise is developed. We represent wide band noise as a distributed delay of white noise and use it to reduce a nonlinear system disturbed by wide band noise to a nonlinear system disturbed by white noise. An application of this reduction to a nonlinear filtering problem under a wide band noise disturbance is discussed.