Abstract
A new environmental problem-light pollution has gradually attracted the attention of governments all over the world. To develop a model to evaluate the risk level of light pollution， we have set up three first-level indicators which are regional development level, population, and biological environment, and set up two-level indicators under them like: urbanization rate, lighting intensity, biology diversity.etc.We use the light pollution index obtained by satellite detection, and get the final regression equation of light pollution index by ridge regression fitting with the data of 28 provinces, and then verify it with the image observed by Luojia –1, and determine the model equation of Light Pollution Index. Then we optimize the model through both geography and climate, and correct the provinces where the light pollution index fitted by the regression equation is different from the real light pollution index, making the model accuracy further improved.
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