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2006-2022 年美国犹他州盐湖城使用广义加性模型研究野火烟雾对臭氧浓度的影响。

Impact of wildfire smoke on ozone concentrations using a Generalized Additive model in Salt Lake City, Utah, USA, 2006-2022.

机构信息

School of Science, Technology, Engineering, and Mathematics, University of Washington, Bothell, WA, USA.

Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA.

出版信息

J Air Waste Manag Assoc. 2024 Feb;74(2):116-130. doi: 10.1080/10962247.2023.2291197. Epub 2024 Jan 30.

Abstract

We investigated the impact of wildfires on maximum daily 8-hr average ozone concentrations (MDA8 O) at four sites in Salt Lake City (SLC), Utah for May to September for 2006-2022. Smoke days, which were identified by a combination of overhead satellite smoke detection and surface PM data and accounted for approximately 9% of the total number of days, exhibited O levels 6.8 to 8.9 ppb higher than no-smoke days and were predominantly characterized by high daily maximum temperatures and low relative humidity. A Generalized Additive Model (GAM) was developed to quantify the impact of wildfire contributions to O. The GAM, which provides smooth functions that make the interpretation of relationships more intuitive, employed 17 predictors and demonstrated reliable performance in various evaluation metrics. The mean of the residuals for all sites was approximately zero for the training and cross-validation data and 5.1 ppb for smoke days. We developed three approaches to estimate the contribution of smoke to O from the model residuals. These generate a minimum and maximum contribution for each smoke day. The average of the minimum and maximum wildfire contributions to O for the SLC sites was 5.1 and 8.5 ppb, respectively. Between 2006 and 2022, an increasing trend in the wildfire contributions to O was observed in SLC. Moreover, trends of the fourth-highest MDA8 O before and after removing the wildfire contributions to O at the SLC Hawthorne site in 2006-2022 were quite different. Whereas the unadjusted data do not meet the current O standard, after removing the contributions from wildfires the SLC region is close to achieving levels that are consistent with meeting the O standard. We also found that the wildfire contribution during smoke days was particularly high under conditions of high temperature, high PM concentration, and low cloud fraction.: In this study, we quantified the impact of wildfires on maximum daily 8-hr average ozone concentrations (MDA8 O) in Salt Lake City, Utah, using a Generalized Additive Model (GAM). The GAM results demonstrate the importance of wildfires as contributors to O air pollution. Our results suggest that states could use the GAM approach to assist in quantifying the wildfire contribution to MDA8 O under the U.S. EPA exceptional events rule. These findings also highlight the need for strategies to manage wildfires and their subsequent impacts on air quality in an era of climate warming.

摘要

我们调查了 2006 年至 2022 年期间,犹他州盐湖城四个地点的野火对最大日 8 小时平均臭氧浓度(MDA8 O)的影响。烟雾日是通过卫星高空烟雾探测和地面 PM 数据的组合来识别的,占总天数的约 9%,其臭氧水平比无烟日高出 6.8 到 8.9 个 ppb,主要特征是每日最高温度高和相对湿度低。我们开发了一个广义加性模型(GAM)来量化野火对 O 的贡献。GAM 提供了平滑的函数,使关系的解释更加直观,使用了 17 个预测因子,并在各种评估指标中表现出可靠的性能。所有站点的残差平均值在训练和交叉验证数据中约为零,在烟雾日约为 5.1ppb。我们开发了三种方法来从模型残差中估计烟雾对 O 的贡献。这些方法为每个烟雾日生成一个最小和最大的贡献值。盐湖城各站点的平均最小和最大野火对 O 的贡献分别为 5.1 和 8.5ppb。2006 年至 2022 年期间,盐湖城观测到野火对 O 的贡献呈上升趋势。此外,2006 年至 2022 年期间,盐湖城霍桑站点去除 O 中野火贡献前后第四高 MDA8 O 的趋势明显不同。虽然未经调整的数据不符合当前的 O 标准,但去除野火的贡献后,盐湖城地区接近符合 O 标准的水平。我们还发现,在高温、高 PM 浓度和低云量条件下,烟雾日的野火贡献尤其高。在这项研究中,我们使用广义加性模型(GAM)量化了犹他州盐湖城最大日 8 小时平均臭氧浓度(MDA8 O)对野火的影响。GAM 结果表明,野火是 O 空气污染的重要贡献者。我们的研究结果表明,各州可以使用 GAM 方法来协助根据美国环保署特殊事件规则量化 MDA8 O 中的野火贡献。这些发现还强调了在气候变暖的时代,需要采取策略来管理野火及其对空气质量的后续影响。

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