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Abstract
Light pollution is closely related to human life, not only affecting the human experience of viewing the landscape at night, but also affecting the natural light and dark pattern of the ecosystem, resulting in the destruction of the ecosystem, and even causing potential impacts across a range of spatial and temporal scales. In view of the above problems, this paper puts forward the research on the measurement of light pollution risk level and makes relevant intervention strategies to reduce the influence of light pollution. Firstly, the light pollution risk levels in different regions were compared by establishing a model to indirectly quantify the light pollution risk level (LPRM) and using satellite remote sensing images to calculate the luminous flux scale. Then, the index system model (LPRI) of light pollution risk level was established, and the entropy weight method was used to evaluate the weight of each index, and the intervention policy was formulated. All in all, the LPRM model in this paper can roughly measure the level of light pollution risk in a region, and the proposal of this research topic can provide a reference idea for the governments of various countries to issue laws in the future.
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