Evaluation Model of Location Light Pollution Level based on Analytic Hierarchy Process and Entropy Weight Method

Abstract

With the development of society, the impact of light pollution has gradually intensified. It not only endangers human health and animal and plant activities but also indirectly damages the climate and environment. In the past, the research on the evaluation of urban light pollution often focused on the comparison between the light pollution level measured by the relevant photometry equipment and the natural light level. This means that many sites need to be selected for measurement in the evaluation city. To save resources and ensure the evaluation results have a certain validity, we built a Location Light Pollution Risk Index (LLPRI) model. First, we selected 16 indicators from 6 aspects and built a three-level indicator evaluation system. After that, based on combining the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) to calculate the index weight, we also use the Weight Combination Method to obtain the final weight of the index. Finally, we will bring the collected site sample data into the model and then use K-means Algorithm to cluster the model results and obtain the model metric We compare the results of the assessment of location light pollution risk level by the model with the data from the Military Meteorological Satellite Program (DMSP) and Visible Infrared Imaging Radiometer (VIIRS). The experimental results show that the LLRPI model has good effectiveness.