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Assessing Temporal and Spatial Patterns of Observed and Predicted Ozone in Multiple Urban Areas

机译:评估多个城市地区臭氧观测和预测的时空格局

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Background: Ambient monitoring data show spatial gradients in ozone (O3) across urban areas. Nitrogen oxide (NOx) emissions reductions will likely alter these gradients. Epidemiological studies often use exposure surrogates that may not fully account for the impacts of spatially and temporally changing concentrations on population exposure. Objectives: We examined the impact of large NOx decreases on spatial and temporal O3 patterns and the implications on exposure. Methods: We used a photochemical model to estimate O3 response to large NOx reductions. We derived time series of 2006–2008 O3 concentrations consistent with 50% and 75% NOx emissions reduction scenarios in three urban areas (Atlanta, Philadelphia, and Chicago) at each monitor location and spatially interpolated O3 to census-tract centroids. Results: We predicted that low O3 concentrations would increase and high O3 concentrations would decrease in response to NOx reductions within an urban area. O3 increases occurred across larger areas for the seasonal mean metric than for the regulatory metric (annual 4th highest daily 8-hr maximum) and were located only in urban core areas. O3 always decreased outside the urban core (e.g., at locations of maximum local ozone concentration) for both metrics and decreased within the urban core in some instances. NOx reductions led to more uniform spatial gradients and diurnal and seasonal patterns and caused seasonal peaks in midrange O3 concentrations to shift from midsummer to earlier in the year. Conclusions: These changes have implications for how O3 exposure may change in response to NOx reductions and are informative for the design of future epidemiology studies and risk assessments. Citation: Simon H, Wells B, Baker KR, Hubbell B. 2016. Assessing temporal and spatial patterns of observed and predicted ozone in multiple urban areas. Environ Health Perspect 124:1443–1452; http://dx.doi.org/10.1289/EHP190.
机译:背景:环境监测数据显示了整个市区臭氧(O3)的空间梯度。减少氮氧化物(NOx)排放量可能会改变这些梯度。流行病学研究通常使用暴露替代物,这些替代物可能无法完全说明浓度和空间变化对人群暴露的影响。目的:我们研究了NOx大量减少对空间和时间O3模式的影响以及对暴露的影响。方法:我们使用光化学模型估算O3对大量NOx还原的响应。我们得出了每个监测器位置的三个市区(亚特兰大,费城和芝加哥)中2006-2008年O3浓度与50%和75%NOx减排情景一致的时间序列,并在空间上将O3内插到人口普查质心。结果:我们预测,随着市区内NOx的减少,低O3浓度将增加而高O3浓度将减少。 O3的季节性平均值比规例的平均值更大(每年最高4小时,每天最大8小时),发生在更大的区域,并且仅位于城市核心区域。对于这两个指标,O3总是在城市核心区外部(例如,在最大局部臭氧浓度的位置)减少,在某些情况下,在城市核心区中减少。减少NOx会导致更均匀的空间梯度以及昼夜和季节模式,并导致中端O3浓度的季节性峰值从仲夏转移到今年初。结论:这些变化影响了O3暴露如何响应NOx的减少而发生变化,并为未来流行病学研究和风险评估的设计提供了信息。引用:Simon H,Wells B,Baker KR,Hubbell B.2016。评估在多个城市地区观察到的臭氧和预测的臭氧的时空分布。 Environ Health Perspect 124:1443–1452; http://dx.doi.org/10.1289/EHP190。

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