Light pollution risk rating based on linear dynamic discrete model

Abstract

Nowadays, with the development of modern society, it has been more and more difficult for us to see the stars at night[1]. What shaded them? The answer is the “evil light”--light pollution. According to the study, light pollution not only harms people's physical health but also their mental health. To solve this problem[2], a model was created to classify and mark the level of light pollution in any place in the world. Its essence is a deterministic dynamic linear discrete model. This paper first studied different kinds of formula related to the treatment on soil and water. Then this paper compared the characteristics of the light pollution with them and found the differences and similarities which can improve our formula. Finally, to get a obtain a widely applicable index system, a linear weight formula was created, which is for light pollution only. Besides, created the optical intrusion formula and the average glare intensity formula. After comparing with the linear weight formula, the paper choosen the linear weight formula for its flexibility and wide use. Secondly, to make the model more accuracy, the paper selected factors that have strong impact on the light pollution. There are too many factors that can influence the light pollution, though some of them only take a little part in. The paper used the Topsis and factor analysis to find out the factors and their weights. Then this paper developed a scoring system based on the data provided by government. Finally, after searching the data for 57 protected areas, 67 rural communities, 64 suburban communities and 76 urban communities and applying them to the model and calculating, we got the final degree for each samples. And the average marks for each kind of place are0.83,0.69,0.51and0.18(preserve two decimal places). The results are very close to the reality and we used the optical imaging to help you better understand them.