摘要
随着城市的高速发展,出现了一种新的污染——光污染。通过建立模型对不同区域类型进行光污染风险水平评估并给出有效的干预策略。首先对数据进行预处理,保证了应用数据的完整性、可信度,并结合TOPIS熵权法和层次分析法确定度量指标权重,并通过均方误差(MSE)验证权重精度,得到光污染风险水平权重度量模型,我们通过将光污染风险水平权重度量模型应用到四种不同类型的位置上,进行可视化分析得出,光污染风险水平由高到低依次为城市社区、郊区社区、农村社区和保护用地,并对其进行了解释。
With the rapid development of the city, there is a new pollution—light pollution. The model was es-tablished to evaluate the risk level of light pollution in different regional types and to provide effec-tive intervention strategies. First of all, the data was preprocessed to ensure the integrity and cred-ibility of the applied data, and the weight of the metric index was determined by combining TOPIS entropy weight method and analytic hierarchy process, and the weight accuracy was verified by means of MSE, and the light pollution risk level weight measurement model was obtained. By ap-plying the light pollution risk level weight measurement model to four different types of positions, the visual analysis shows that the risk level of light pollution is urban community, suburban com-munity, rural community and protected land in order from high to low, and it is explained.
出处
《建模与仿真》
2023年第4期3903-3908,共6页
Modeling and Simulation
