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21.
Impacts of Weather Conditions Modified by Urban Expansion on Surface Ozone： Comparison between the Pearl River Delta and Yangtze River Delta Regions 总被引：11，自引：0，他引：11
In this paper, the online weather research and forecasting and chemistry (WRF-Chem) model
is used to explore the impacts of urban expansion on regional weather conditions and its implication
on surface ozone concentrations over the Pearl River Delta(PRD) and Yangtze River Delta(YRD) regions.
Two scenarios of urban maps are used in
the WRF-Chem to represent the early 1990s (pre-urbanization) and the current urban distribution in the
PRD and the YRD. Month-long simulation results using the above land-use scenarios for March 2001 show
that urbanization increases both the day- and night-time 2-m temperatures by about 0.6oC and
1.4oC, respectively. Daytime reduction in the wind speed by about 3.0 m s-1 is larger than
that for the nighttime (0.5 to 2 m s-1). The daytime increase in the PBL height (> 200 m) is
also larger than the nighttime (50--100 m). The meteorological conditions modified by urbanization
lead to detectable ozone-concentration changes in the PRD and the YRD. Urbanization increases the
nighttime surface-ozone concentrations by about 4.7%--8.5% and by about 2.9%--4.2% for the daytime.
In addition to modifying individual meteorological variables, urbanization also enhances the convergence
zones, especially in the PRD. More importantly, urbanization has different effects on the surface ozone
for the PRD and the YRD, presumably due to their urbanization characteristics and geographical locations.
Even though the PRD has a smaller increase in the surface temperature than the YRD, it has (a) weaker
surface wind speed, (b) smaller increase in PBL heights, and (c) stronger convergence zones. The latter
three factors outweighed the temperature increase and resulted in a larger ozone enhancement in the PRD
than the YRD. 相似文献
22.
Observation of a summer tropopause fold by ozonesonde at Changchun,China: Comparison with reanalysis and model simulation 总被引：1，自引：0，他引：1
Tropopause folds are one of the key mechanisms of stratosphere-troposphere exchange (STE) in extratropical regions, transporting ozone-rich stratospheric air into the middle and lower troposphere. Although there have been many studies of tropopause folds that have occurred over Europe and North America, a very limited amount of work has been carried out over northeastern Asia. Ozonesondes produced by the Institute of Atmospheric Physics were launched in Changchun (43.9°N, 125.2°E), Northeast China, in June 2013, and observed an ozone-enriched layer with thickness of 3 km and an ozone peak of 180 ppbv at 6 km in the troposphere. The circulation field from the European Centre for Medium-Range Weather Forecasts Interim Reanalysis (ERA-Interim) dataset shows that this ozone peak was caused by a tropopause fold associated with a jet stream at the eastern flank of the East Asian trough. By analyzing the ozone data from the ozone monitoring instrument and Weather Research and Forecasting model with Chemistry (WRF-Chem) simulations, it was found that a high ozone concentration tongue originating from the lower stratosphere at high latitude (near central Siberia) intruded into the middle troposphere over Changchun between 5 and 8 km on 12 June 2013. The high-resolution WRF-Chem simulation was capable of describing events such as the tropopause fold that occurred on the cyclonic shear side of the jet stream. In addition, the TRAJ3D trajectory model was used to trace the origin of measured secondary ozone peaks in the middle troposphere back, for example, to stratospheric intrusion through the tropopause fold. 相似文献
23.
为了验证风云三号D星MERSI传感器的气溶胶光学厚度(AOD)数据对地面PM2.5的污染过程预报的效果,本文基于WRF-Chem (Weather Research and Forecasting model coupled with Chemistry)大气化学模式和三维变分同化方法,针对2020-02-10—2020-02-12中国北方地区的一次PM2.5重污染过程,进行了同化和预报试验研究。同化数据来自常规地面站点的PM2.5浓度数据和风云三号D星MERSI传感器的气溶胶光学厚度(AOD)数据。控制试验不同化任何资料,3组同化试验分别为仅同化地面PM2.5,仅同化卫星AOD,以及同时同化PM2.5和卫星AOD两种资料。结果表明,3组同化试验都可以有效提高初始场准确率,以地面PM2.5作为检验标准,仅同化PM2.5、仅同化AOD、同时同化两种资料相对于控制试验,初始场的平均偏差分别降低54.9%、21.9%和49.0%,平均相关系... 相似文献
24.
2013年1月华北地区重雾霾过程及其成因的模拟分析 总被引：14，自引：6，他引：8
2013年1月11~14日,华北地区经历重雾霾过程。为了探讨其形成原因,利用大气化学模式系统Weather Research and Forecasting(WRF)-Chem模拟2013年1月华北地区气溶胶的时空变化。模拟的能见度、气象要素(温度、湿度、降水、风速和风向)以及细颗粒物(PM2.5,大气中直径≤2.5μm的颗粒物)地表浓度的时间变化与近地面观测值都较为吻合。模拟结果表明,1月11~14日,细颗粒物高值分布于河北省南部和东部、天津地区以及北京地区,其日均值约为400~500μg m–3。通过与历史气候数据比较发现,2013年1月10~15日华北地区的气象条件表现为较大的相对湿度正距平(20%~40%)以及风速的负距平(-1 m s–1)。北京站点的探空数据还表明,在1月11~13日期间,垂直方向上,1 km以下的大气中存在明显的逆温层,并且湿度保持较高的值(80%~90%)。模拟结果表明,1月11~14日,近地面南向风和东向风将水汽输送到华北地区,上层大气(850hPa)的西北风则将沙尘输送到华北地区。以上气象条件有利于气溶胶的吸湿增长和浓度的聚集。硝酸盐的收支分析表明,在北京地区,与1~9日相比,10~14日夜间化学生成和传输的显著增加都贡献于硝酸盐浓度,是重雾霾形成的主要原因。 相似文献
25.
选取2016年12月17—22日青岛一次典型重污染天气,利用大气污染物监测结果、地面气象要素观测资料和欧洲中期天气预报中心（ECMWF）ERA5再分析数据对此次过程中大气污染物及气象场的变化特征进行分析。观测分析表明此次污染过程持续时间长达5 d以上,其中19—21日为重污染天气（PM 2.5 日均质量浓度ρ>150 μg·m-3）。根据气象场和PM2.5质量浓度变化特征,此次污染过程可分为3个阶段：17日02时—19日08时为青岛污染物累积阶段,研究区受西南风控制,PM2.5质量浓度逐渐上升,700 hPa等压面上高空槽的维持及槽前持续的南风、西南风有利于污染物累积,同时近地面相对湿度增加,是此次持续性重污染天气形成的重要条件;19日09时—20日20时为青岛污染维持加剧阶段,相对湿度大、风速很小,污染物扩散条件差,PM2.5质量浓度最高;20日21时—22日08时为青岛污染消散阶段,青岛对流层中下层及地面风速均增大并产生弱降水,有利于污染物扩散稀释和湿清除,PM2.5质量浓度逐渐降低。WRF-Chem数值模式能够较好地模拟出主要气象要素和青岛PM2.5 质量浓度的变化特征,模拟结果表明山东省内污染物排放贡献了青岛PM2.5的49.5%;污染物跨省输送对此次污染事件也有重要贡献,其中来自研究区以南的安徽和江苏的排放对青岛PM2.5的贡献率可达25.5%。 相似文献
26.
Feng Wang Junling An Ying Li Yujia Tang Jian Lin Yu Qu Yong Chen Bing Zhang Jing Zhai 《大气科学进展》2014,31(6):1331-1342
High levels of uncertainty in non-methane volatile organic compound （NMVOC） emissions in China could lead to significant variation in the budget of the sum of hydroxyl （OH） and peroxy （HO2,RO2） radicals （ROx =OH ＋ HO2 ＋ RO2） and the ozone production rate [P（O3）],but few studies have investigated this possibility,particularly with three-dimensional air quality models.We added diagnostic variables into the WRF-Chem model to assess the impact of the uncertainty in anthropogenic NMVOC （AVOC） emissions on the ROx budget and P（O3） in the Beijing-Tianjin-Hebei region,Yangtze River Delta,and Pearl River Delta of China.The WRF-Chem simulations were compared with satellite and ground observations,and previous observation-based model studies.Results indicated that 68％ increases （decreases） in AVOC emissions produced 4％-280％ increases （2％-80％ decreases） in the concentrations of OH,HO2,and RO2 in the three regions,and resulted in 35％-48％ enhancements （26％-39％ reductions） in the primary ROx production and ～ 65％ decreases （68％-73％ increases） of the P（O3） in Beijing,Shanghai,and Guangzhou.For the three cities,the two largest contributors to the ROx production rate were the reaction of O1D ＋ H2O and photolysis of HCHO,ALD2,and others; the reaction of OH ＋ NO2 （71％-85％） was the major ROx sink; and the major contributor to P（O3） was the reaction of HO2 ＋ NO （～ 65％）.Our results showed that AVOC emissions in 2006 from Zhang et al.（2009） have been underestimated by ～ 68％ in suburban areas and by ＞ 68％ in urban areas,implying that daily and hourly concentrations of secondary organic aerosols and inorganic aerosols could be substantially underestimated,and cloud condensation nuclei could be underestimated,whereas local and regional radiation was overestimated. 相似文献
27.
利用WRF-Chem模式模拟分析人为气溶胶对台风Fitow(1323)强度及降水的影响 总被引：1，自引：1，他引：0
利用气象与化学模块在线耦合的模式WRF-Chem V3.5(Weather Research and Forecasting Model coupled to Chemistry Version 3.5) 对1323号台风Fitow进行了模拟,设计无人为排放源、含人为排放源和人为排放源增加的三组模拟试验,对比分析了人为气溶胶对台风的影响。结果表明:人为气溶胶对台风移动路径影响较小。人为气溶胶增加,台风强度减弱,台风主体总累积降水量减少,靠近陆地阶段台风主体降水率减少。气溶胶的增多可提供更多的凝结核,台风外围云水增加,更多的云水可上升至冻结层以上形成过冷水,促进冰相粒子的形成,释放的潜热增加,使外围对流增强,降水增加。台风外围对流的发展,使低层入流的暖湿空气更多的在外围上升,向台风中心的入流减弱,眼墙的发展减弱,降水减少,台风强度减弱。台风外围的对流发展弱于眼墙的对流,降水仍以眼墙区为主,使累积降水量和降水率整体上表现为减少。 相似文献
28.
本文采用高分辨率WRF-Chem模式模拟了2014年7月27日和8月24日发生于长三角地区的两次强度不同的深对流系统对污染气体CO的再分布作用,对比分析了模拟的两次深对流系统在CO垂直输送过程中的差异。通过与实际雷达回波的比较发现,两次模拟的深对流发生时间、回波强度等都与实际观测接近。8月24日深对流过程发生前的对流有效位能和0～6 km垂直风切变强度均高于7月27日个例,因此 8月24日深对流系统更不稳定,发展高度更高。从CO浓度垂直剖面、质量通量随高度的变化特征发现,7月27日的深对流系统最高可以将CO输送到14 km高度处,8月24日的深对流系统最高可以将CO输送到16 km高度处。对CO浓度的垂直通量散度平均垂直廓线分析看出,7月27的深对流系统主要将CO输送到12 km附近,导致7月27日个例对流层中层的CO浓度更高,8月24日的深对流系统主要将CO输送到15 km附近,导致8月24日个例对流层上层的CO浓度更高。对垂直通量求和的分析表明,8月24日的深对流系统每小时垂直输送的CO浓度是7月27的1.3倍,而考虑到8月24日的深对流系统持续时间更长,8月24日的深对流系统对CO的垂直输送作用远远大于7月24日的深对流系统的垂直输送作用。 相似文献
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30.
中国北方一次沙尘天气过程的数值模拟 总被引：2，自引：2，他引：0
选取中国北方地区2012年4月22-24日的一次沙尘天气过程,综合分析了多种地面与卫星观测资料,并在此基础上采用WRF-Chem模式（Weather Research and Forecasting model coupled with Chemistry）对本次沙尘天气过程的起沙和传输进行数值模拟,并与卫星遥感、地面激光雷达等观测数据进行对比验证。结果表明：此次过程是由地面冷锋和高空短波槽共同作用引起的。WRF-Chem模式模拟结果较好再现了此次沙尘过程的时空分布特征,与地面观测的沙尘天气发生地点基本一致。沙尘天气发生前后,地面观测站各气象要素有明显变化,表现出大风、降温、正变压。WRF-Chem模式模拟的气温和湿度变化趋势与观测基本一致。地面观测得到的PM10质量浓度与消光系数在沙尘过程期间均上升达到高值,模拟能够很好地反映PM10质量浓度的整体变化趋势,但峰值低于观测结果。采用HYSPLIT模式进行后向轨迹模拟,进一步表明本次沙尘过程的源地主要为塔克拉玛干沙漠与古尔班通古特沙漠。前向轨迹模拟结果表明沙尘传输路径自新疆起始,途经内蒙古、甘肃、宁夏、陕西。 相似文献