Protocol for estimating exposure to compound heat wave and ozone pollution under future climate change.
Protocol for estimating exposure to compound heat wave and ozone pollution under future climate change.
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DOI：
10.1016/j.xpro.2023.102090
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发表时间：
2023-03-17
期刊：
影响因子：
--
通讯作者：
Li, Tiantian
中科院分区：
文献类型：
--
作者：
Lu, Kailai;Ban, Jie;Wang, Qing;Li, Tiantian
在这里，我们描述的程序估计暴露于未来的气候情景下的复合热浪和臭氧污染。我们首先应用全球每日的温度和臭氧浓度，并通过将模拟的温度和臭氧浓度的分布与历史观测的分布进行比较来进行偏差校正。然后，我们确定热浪，臭氧污染事件，和复合事件。最后，结合联合收割机未来暴露量和人群，确定高风险地区和人群。有关本方案使用和执行的完整详细信息，请参见Ban et al.（2022年）。我们对模拟的温度和臭氧浓度进行了偏差校正我们在SSP下预测了化合物日发生率和人口暴露量我们确定了不同收入群体之间化合物暴露量的差异我们描述了高水平化合物日暴露的人口比例出版商注：进行任何实验方案都需要遵守当地机构的实验室安全和道德准则。在这里，我们描述的程序估计暴露于未来的气候情景下的复合热浪和臭氧污染。我们首先应用全球每日的温度和臭氧浓度，并通过将模拟的温度和臭氧浓度的分布与历史观测的分布进行比较来进行偏差校正。然后，我们确定热浪，臭氧污染事件，和复合事件。最后，结合联合收割机未来暴露量和人群，确定高风险地区和人群。
Here we describe the procedure for estimating exposure to the compound heatwave and ozone pollution under future climate scenarios. We first apply the daily-level temperature and ozone concentration across the world and perform bias correction by comparing the distribution of the modeled temperature and ozone concentration to the distribution of historical observation. Then we identify the heatwaves, ozone pollution events, and compound events. Finally, we combine the future exposure and population to identify the high-risk regions and populations. For complete details on the use and execution of this protocol, please refer to Ban et al. (2022). We perform bias correction for the modeled temperature and ozone concentration We project both compound days occurrence and population exposure under SSPs We identify disparity in compound exposure among different income groups We characterize the proportion of population exposed under high-level compound days Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Here we describe the procedure for estimating exposure to the compound heatwave and ozone pollution under future climate scenarios. We first apply the daily-level temperature and ozone concentration across the world and perform bias correction by comparing the distribution of the modeled temperature and ozone concentration to the distribution of historical observation. Then we identify the heatwaves, ozone pollution events, and compound events. Finally, we combine the future exposure and population to identify the high-risk regions and populations.
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影响因子：
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作者：
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