Dependence of daily peak O3 concentrations near Houston, Texas on environmental factors: Wind speed, temperature, and boundary-layer depth
Dependence of daily peak O3 concentrations near Houston, Texas on environmental factors: Wind speed, temperature, and boundary-layer depth
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DOI：
10.1016/j.atmosenv.2010.09.030
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发表时间：
2011-01-01
影响因子：
5
通讯作者：
White, Allen B.
中科院分区：
文献类型：
--
作者：
Banta, Robert M.;Senff, Christoph J.;White, Allen B.
2000 年和 2006 年德克萨斯州空气质量研究活动（TexAQS 2000 和 TexAQS 2006）期间的机载和表面臭氧测量 (03) 用于研究低层大气边界层 (BL) 中每日最大 O-3 与矢量平均风速 <U> 之间的关系，风速由雷达风廓线仪数据计算得出。休斯顿地区的每日最大 O-3 和峰值“附加”O-3 贡献（计算为最大值减去背景值）均与该风速的倒数 <U>(-1) 和风速 <U> 本身显示出很强的相关性（r 类似于 0.7-0.9）。来自机载平台的数据总体上比地面测量值产生更高的相关性。除了在 BL 深度 h 受到抑制的位置靠近源活动测量 O-3 的特殊情况外，每日臭氧浓度峰值与 h 没有很强的相关性，并且尝试将 1/h 依赖性与 < U >(-1) 结合起来会降低相关性，表明一般来说，h 并不是每日最大 O-3 的强预测因子。将每日最高温度纳入回归分析也未能显着改善相关性。因此，风速的高度相关性表明 <U> 是与每日峰值 O-3 浓度最密切相关的气象变量。 2000 年数据的日峰值 O-3 与 <U> 的最佳拟合回归线位于 2006 年风速小于 5 m s(-1) 的线上方，随着风速减弱，差异逐渐增大。在风力最弱、污染最严重的日子里，O-3 浓度连续六年下降，这表明 2000 年至 2006 年间实施的控制策略可能会产生有益的效果，特别是在污染最严重的日子。由爱思唯尔有限公司出版
Airborne and surface measurements of ozone (03) during the Texas Air Quality Study campaigns in 2000 and 2006 (TexAQS 2000 and TexAQS 2006) were used to investigate the relationship between maximum daily O-3 and the vector-averaged wind speed < U >, calculated from radar wind profiler data, in the lower atmospheric boundary layer (BL). Both the maximum daily O-3 and the peak "add-on" O-3 contribution (calculated as the maximum minus the background values) from the Houston area showed a strong correlation (r similar to 0.7-0.9) with both the reciprocal of this wind speed < U >(-1), and the wind speed < U > itself. Data from airborne platforms produced higher correlations in general than surface-measured values. Except for special cases where O-3 was measured close to source activity in a location where the BL depth h was suppressed, peak daily ozone concentrations were not strongly correlated with h, and attempts to include 1/h dependence with < U >(-1) degraded the correlations indicating that in general, h was not a strong predictor for maximum daily O-3. Inclusion of daily maximum temperature in the regression analysis also failed to improve the correlations significantly. The high correlations for wind speed thus showed that < U > was the meteorological variable most strongly associated with peak daily O-3 concentrations. The best-fit regression line of peak daily O-3 vs. < U > for the 2000 data lay above the line for 2006 for wind speeds less than 5 m s(-1), the difference increasing as the wind speeds weakened. This six-year decrease in O-3 concentrations for the weakest-wind, most polluted days suggests that control strategies implemented between 2000 and 2006 may be producing beneficial effects, especially on the most polluted days. Published by Elsevier Ltd.