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Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China

机译:中国表面臭氧和细颗粒物质对中国气象参数的敏感性分析

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Meteorological conditions play important roles in the formation of ozone (O3) and fine particulate matter (PM2.5). China has been suffering from serious regional air pollution problems, characterized by high concentrations of surface O3 and PM2.5. In this study, the Community Multiscale Air Quality (CMAQ) model was used to quantify the sensitivity of surface O3 and PM2.5 to key meteorological parameters in different regions of China. Six meteorological parameters were perturbed to create different meteorological conditions, including temperature (T), wind speed (WS), absolute humidity (AH), planetary boundary layer height (PBLH), cloud liquid water content (CLW) and precipitation (PCP). Air quality simulations under the perturbed meteorological conditions were conducted in China in January and July of 2013. The changes in O3 and PM2.5 concentrations due to individual meteorological parameters were then quantified. T has a great influence on the daily maximum 8 h average O3 (O3-8 h) concentrations, which leads to O3-8 h increases by 1.7 in January in Chongqing and 1.1 ppb K?1 in July in Beijing. WS, AH, and PBLH have a smaller but notable influence on O3-8 h with maximum change rates of 0.3 ppb %?1, ?0.15 ppb %?1, and 0.14 ppb %?1, respectively. T, WS, AH, and PBLH have important effects on PM2.5 formation of both in January and July. In general, PM2.5 sensitivities are negative to T, WS, and PBLH and positive to AH in most regions of China. The sensitivities in January are much larger than in July. PM2.5 sensitivity to T, WS, PBLH, and AH in January can be up to ?5 μg m?3 K?1, ?3 μg m?3 %?1, ?1 μg m?3 %?1, and +0.6 μg m?3 %?1, respectively, and in July it can be up to ?2 μg m?3 K?1, ?0.4 μg m?3 %?1, ?0.14 μg m?3 %?1, and +0.3 μg m?3 %?1, respectively. Other meteorological factors (CLW and PCP) have negligible effects on O3-8 h (less than 0.01 ppb %?1) and PM2.5 (less than 0.01 μg m?3 %?1). The results suggest that surface O3 and PM2.5 concentrations can change significantly due to changes in meteorological parameters, and it is necessary to consider these effects when developing emission control strategies in different regions of China.
机译:气象条件在臭氧(O 3)和细颗粒物质(PM2.5)的形成中起重要作用。中国一直患有严重的区域空气污染问题,其特征在于高浓度的表面O3和PM2.5。在这项研究中,社区多尺度空气质量(CMAQ)模型用于量化表面O3和PM2.5对中国不同地区的关键气象参数的敏感性。六个气象参数扰乱以产生不同的气象条件,包括温度(t),风速(Ws),绝对湿度(Ah),行星边界层高度(PBLH),云液体含水量(CLW)和沉淀(PCP)。 2013年1月和7月在中国进行了扰动气象条件下的空气质量模拟。然后量化了O3和PM2.5浓度因单独气象参数而受到的变化。 T对每日最多8小时平均O3(O 3 -8 H)浓度有很大的影响,这导致O3-8H在重庆1月份增长1.7,7月份在北京的1.1 ppb k?1。 WS,AH和PBLH对O 3 -8 H具有较小但显着的影响,最大变化率为0.3ppb%Δ1,Δ0.15ppb%Δ1和0.14ppb%?1。 T,WS,AH和PBLH对1月和7月的PM2.5的形成具有重要影响。通常,PM2.5敏感性对T,WS和PBLH负是负的,并且在中国大多数地区都有阳性至啊。 1月份的敏感性远远大于7月。 PM2.5对1月份的T,WS,PBLH和AH的敏感性可以达到α5μgm≤3k≤1,α3μgm≤3%?1,α1μgm≤3%?1,和+0.6μgm?3%?1,分别,7月,它可以达到α2μgm≤3k≤1,α0.4μgm≤3%?1,?0.14μgm≤3%?1,分别+0.3μgm≤3%?1。其他气象因素(CLW和PCP)对O 3 -8 H的影响可忽略不计(小于0.01ppb%Δ1)和PM2.5(小于0.01μgm≤3%?1)。结果表明,由于气象参数的变化,表面O3和PM2.5浓度可以显着变化,并且在发展中国不同地区的排放控制策略时有必要考虑这些影响。

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