Air pollution, particularly PM2.5 particulate matter, is a significant issue in Santiago, the capital of Chile. Santiago’s pollution problem is exacerbated by its unique geographic location nestled against the Andes mountain range in the central valley of Chile. This paper uses network models that were developed primarily to analyze systemic risk in the financial system to identify those locations in the city that are most important for explaining PM2.5 levels. High average concentrations are associated with both systemically important locations and those that are most sensitive to pollution arriving from other areas. A detailed picture of the links across the city can help direct official efforts to combat pollution.

中文翻译：

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网络分析：一种识别智利圣地亚哥 PM2.5 热点及其对空气质量时空影响的新方法

空气污染，尤其是 PM2.5 颗粒物，是智利首都圣地亚哥的一个重要问题。圣地亚哥的污染问题因其位于智利中部山谷安第斯山脉的独特地理位置而加剧。本文使用主要为分析金融系统中的系统性风险而开发的网络模型来确定城市中对解释 PM2.5 水平最重要的位置。高平均浓度与具有系统重要性的地点和对来自其他地区的污染最敏感的地点有关。详细了解整个城市的联系有助于指导官方努力对抗污染。