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...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≤2.5 μm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400～500 μg 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（850 hPa）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。展开更多
In this paper, the online Weather Research and Forecasting and Chemistry （WRF/CHEM） model, coupled with urban canopy （UCM） and biogenic-emission models, is used to explore impacts of urban expansion on secondary o...In this paper, the online Weather Research and Forecasting and Chemistry （WRF/CHEM） model, coupled with urban canopy （UCM） and biogenic-emission models, is used to explore impacts of urban expansion on secondary organic aerosols （SOA） formation. Two scenarios of urban maps are used in WRF/CHEM to represent early 1990s （pre-urbanization） and current urban distribution in the Pearl River Delta （PRD）. Month-long simulation results using the above land-use scenarios for March 2001 show： （1） urbanization can increase monthly averaged temperatures by about 0.63 ℃, decrease monthly averaged 10-m wind speeds by 38%, increase monthly averaged boundary-layer depths by 80 m, and decrease monthly aver- aged water mixing ratio by 0.2g/kg. （2） Changes in meteorological conditions can result in detectable concentration changes of NOx, VOC, O3 and NO3 radicals. Urbanization decreases surface NOx and VOC concentrations by a maximum of 4 ppbv and 1.5 ppbv, respectively. Surface O3 and NO3 radical concentrations over major cities increase by about 2-4 ppbv and 4-12 pptv, respectively; areas with increasing O3 and NO3 radical concentrations generally coincide with the areas of temperature increase and wind speed reduction where NOx and VOC decrease. （3） Urbanization can induce 9% increase of SOA in Foshan, Zhongshan and west Guangzhou and 3% decrease in Shenzhen and Dongguan. Over PRD major cities, SOA from Aitken mode reduces by 30% but with more than 70% SOA from accumulate mode. Urbanization has stronger influence on SOA formation from Aitken mode. （4） Over the PRD, 55-65% SOA comes from aromatics precursors. Urbanization has strongest influence on aromatics precursors to produce SOA （14% increase）, while there is less influence on alkane precursors. Alkene precursors have negative contribution to SOA formation under urbanization situation.展开更多
The Weather Research and Forecasting/Chemistry model （WRF-Chem） was updated by including pho- toexeited nitrogen dioxide （NO2） molecules, heterogeneous reactions on aerosol surfaces, and direct emissions of nitrou...The Weather Research and Forecasting/Chemistry model （WRF-Chem） was updated by including pho- toexeited nitrogen dioxide （NO2） molecules, heterogeneous reactions on aerosol surfaces, and direct emissions of nitrous acid （HONO） in the Carbon-Bond Mechanism Z （CBM-Z）. Five simulations were conducted to assess the effects of each new component and the three additional HONO sources on concentrations of major chemical components. We calculated percentage changes of major aerosol components and concentration ratios of gas NOy （NOyg） to NOy and particulate nitrates （NO3-） to NOy due to the three additional HONO sources in the North China Plain in August of 2007. Our results indicate that when the three additional HONO sources are included, WRF-Chem can reasonably reproduce the HONO observations. Heterogeneous reactions on aerosol surfaces are a key contributor to concentrations of HONO, nitrates （NO3-）, ammonium （NH＋）, and PM2.5 （concentration of particulate matter of ≤2.5 um in the ambient air） across the North China Plain. The three additional HONO sources produced a -5% -20% increase in monthly mean daytime concentration ratios of NO3-/NOy, a -15%- 52% increase in maximum hourly mean concentration ratios of NO3-/NOy, and a -10% -50% increase in monthly mean concentrations of NOx and NH＋ across large areas of the North China Plain. For the Bohai Bay, the largest hourly increases of NO3- exceeded 90%, of NH＋ exceeded 80%, and of PM2.5 exceeded 40%, due to the three additional HONO sources. This implies that the three additional HONO sources can aggravate regional air pollution, further impair visibility, and enhance the incidence of haze in some industrialized regions with high emissions of NOx and particulate matter under favorable meteorological conditions.展开更多
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 concent...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 0.6℃and 1.4℃, 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.展开更多
文摘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≤2.5 μm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400～500 μg 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（850 hPa）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。
基金supported by the Natural Science Foundation of China (Grant Nos. 40875076 and U0833001)
文摘In this paper, the online Weather Research and Forecasting and Chemistry （WRF/CHEM） model, coupled with urban canopy （UCM） and biogenic-emission models, is used to explore impacts of urban expansion on secondary organic aerosols （SOA） formation. Two scenarios of urban maps are used in WRF/CHEM to represent early 1990s （pre-urbanization） and current urban distribution in the Pearl River Delta （PRD）. Month-long simulation results using the above land-use scenarios for March 2001 show： （1） urbanization can increase monthly averaged temperatures by about 0.63 ℃, decrease monthly averaged 10-m wind speeds by 38%, increase monthly averaged boundary-layer depths by 80 m, and decrease monthly aver- aged water mixing ratio by 0.2g/kg. （2） Changes in meteorological conditions can result in detectable concentration changes of NOx, VOC, O3 and NO3 radicals. Urbanization decreases surface NOx and VOC concentrations by a maximum of 4 ppbv and 1.5 ppbv, respectively. Surface O3 and NO3 radical concentrations over major cities increase by about 2-4 ppbv and 4-12 pptv, respectively; areas with increasing O3 and NO3 radical concentrations generally coincide with the areas of temperature increase and wind speed reduction where NOx and VOC decrease. （3） Urbanization can induce 9% increase of SOA in Foshan, Zhongshan and west Guangzhou and 3% decrease in Shenzhen and Dongguan. Over PRD major cities, SOA from Aitken mode reduces by 30% but with more than 70% SOA from accumulate mode. Urbanization has stronger influence on SOA formation from Aitken mode. （4） Over the PRD, 55-65% SOA comes from aromatics precursors. Urbanization has strongest influence on aromatics precursors to produce SOA （14% increase）, while there is less influence on alkane precursors. Alkene precursors have negative contribution to SOA formation under urbanization situation.
基金supported by the National Natural Science Foundation of China (Grant Nos. 41175105 and 40905055)the Key Project of Chinese Academy of Sciences (Grant No. kzcx1-yw-06-04)
文摘The Weather Research and Forecasting/Chemistry model （WRF-Chem） was updated by including pho- toexeited nitrogen dioxide （NO2） molecules, heterogeneous reactions on aerosol surfaces, and direct emissions of nitrous acid （HONO） in the Carbon-Bond Mechanism Z （CBM-Z）. Five simulations were conducted to assess the effects of each new component and the three additional HONO sources on concentrations of major chemical components. We calculated percentage changes of major aerosol components and concentration ratios of gas NOy （NOyg） to NOy and particulate nitrates （NO3-） to NOy due to the three additional HONO sources in the North China Plain in August of 2007. Our results indicate that when the three additional HONO sources are included, WRF-Chem can reasonably reproduce the HONO observations. Heterogeneous reactions on aerosol surfaces are a key contributor to concentrations of HONO, nitrates （NO3-）, ammonium （NH＋）, and PM2.5 （concentration of particulate matter of ≤2.5 um in the ambient air） across the North China Plain. The three additional HONO sources produced a -5% -20% increase in monthly mean daytime concentration ratios of NO3-/NOy, a -15%- 52% increase in maximum hourly mean concentration ratios of NO3-/NOy, and a -10% -50% increase in monthly mean concentrations of NOx and NH＋ across large areas of the North China Plain. For the Bohai Bay, the largest hourly increases of NO3- exceeded 90%, of NH＋ exceeded 80%, and of PM2.5 exceeded 40%, due to the three additional HONO sources. This implies that the three additional HONO sources can aggravate regional air pollution, further impair visibility, and enhance the incidence of haze in some industrialized regions with high emissions of NOx and particulate matter under favorable meteorological conditions.
基金supported by the National Natural Science Foundation of China (Grant Nos. 40875076, U0833001, and40645024)the National Center for Atmospheric Research (NCAR) FY07 Director Opportunity Fund+2 种基金supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (IAP 07306)the Institute of Atmospheric Physics, the Chinese Academy of Sciences(LAPC-KF-2006-12)the Scientific Research Foundation for the Returned Overseas Chinese Scholars,State Education Ministry of China
文摘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 0.6℃and 1.4℃, 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.
