New York City, the most populated urban center in the United States, is exposed to a variety of natural hazards. These range from extratropical storms and coastal flooding to extreme heat and cold temperatures, and have been shown to unevenly impact the various vulnerable groups in the city. As the COVID-19 pandemic hit in March 2020 and the city became an early epicenter, disparities in exposure led to widely uneven infection and mortality rates. This study maps the overlapping heat and COVID-19 risks in New York City with a multi-hazard risk framework during Summer 2020. To do so, we simulate neighborhood scale temperatures using the Weather Research and Forecasting model coupled with a multi-layer urban parameterization. Simulation outputs were combined with zipcode-scale COVID-19 and sociodemographic data to compute a multi-hazard risk index. Our results highlight several regions where high social vulnerability, COVID-19 infection rates, and heat coincide. Moreover, we use the local indicators of spatial association technique to map regions of spatially correlated high multi-hazard risk in the NYC boroughs of The Bronx and parts of Brooklyn and Queens. These high risk locations account for nearly a quarter of the city's population, with households earning less than half than those in the lowest risk zones.

纽约市是美国人口最多的城市中心，面临各种自然灾害。这些范围从温带风暴和沿海洪水到极端高温和低温，并且已被证明对城市中的各种弱势群体产生了不均衡的影响。随着 2020 年 3 月 COVID-19 大流行的袭来，这座城市成为早期的震中，暴露的差异导致感染率和死亡率广泛不均。本研究使用多灾种风险框架绘制了 2020 年夏季纽约市重叠的高温和 COVID-19 风险。为此，我们使用天气研究和预测模型以及多层城市参数化来模拟邻里尺度温度. 模拟输出与邮政编码规模的 COVID-19 和社会人口统计数据相结合，以计算多灾种风险指数。我们的结果突出显示了几个社会脆弱性高、COVID-19 感染率和高温同时存在的地区。此外，我们使用空间关联技术的局部指标来绘制纽约市布朗克斯区以及布鲁克林和皇后区部分地区空间相关的高多灾种风险区域。这些高风险地区占该市近四分之一的人口，家庭收入不到风险最低地区的一半。