Abstract
In order to realize the early warning of Agglomerate fog-prone sections, reduce accidents and ensure the safety of personal and property. Taking Shandong Province as an example, according to the statistics of the time and location of the roads where the agglomerate fog occurs and the number of occurrences in 2018, the time and space analysis of the agglomerate fog occurrence is carried out, and combined with the analysis of the correlation between the frequent occurrence of agglomerate fog and the elevation of Shandong Province, river density, and Normalized Difference Vegetation Index (NDVI), construction of Geographically Weighted Regression (GWR) model to study the geographical environment conditions of highways prone to foggy weather, the influence of regional altitude, river density analysis and NDVI on the occurrence of agglomerated fog. The research results show that the number of agglomerate fog occurrences in different regions has a strong spatial correlation, that is, the environment of different regions has a greater impact on the number of agglomerate fog occurrences. The agglomerate fog early warning model built with regional river density, elevation difference and NDVI as independent variables can effectively predict agglomerate fog-prone areas. The prediction result shows that more than 98% of the area is within the allowable range of error.