Study on optimal intervention strategy of light pollution based on DSP model

Abstract

Light pollution is a new type of environmental pollution, which has attracted the attention of many countries in the world and become a global environmental issue.In order to measure the impact of light pollution quantitatively and solve the problem of light pollution more pertinately, we established the light pollution risk level hierarchical model (RLG) to assess the risk level of light pollution in a region widely.Based on this, in order to more effectively control light pollution in a specific location, we construct a prediction model (DSP) based on different strategies introduced impact factors and apply it to two specific areas. The two sites are scored by combining the RLG model, and verify that the model can determine the optimal intervention strategy for a specific location and provide inspiration for local light pollution control. The results show that: (1) The risk level of light pollution is not only affected by the total amount of light pollution, but also affected by the development level, population level, ecological level, geography and climate. (2) We derived the formula that the above factors affect the classification of light pollution risk level. (3) A DSP model was established to determine the optimal light pollution intervention strategy for a specific location.