A Large-Eddy Simulation Study of the Convective Boundary Layer over Philadelphia during the 1999 Summer NE-OPS Campaign

This study presents a large-eddy simulation (LES) study of the convective boundary layer on August 1, 1999 over Philadelphia, PA during a summer ozone episode. The study is an evaluation of the Colorado State University's Regional Atmospheric Modeling System Version 4.3 (RAMS4.3) with the LES option using Northeast Oxidant and Particulate Study (NE-OPS) data. Simulations were performed with different imposed sensible heat fluxes at the ground surface. The model was initialized with the atmospheric sounding data collected at Philadelphia at 1230 UTC and model integrations continued till 2130 UTC. The resulting mean profiles of temperature and humidity obtained from the LES model were compared with atmospheric soundings, tethered balloon and aircraft data collected during the NE-OPS 1999 field campaign. Also the model-derived vertical profiles of virtual temperature were compared with NE-OPS Radio Acoustic Sounder System (RASS) data while the humidity profiles were compared with NE-OPS lidar data. The comparison of the radiosonde data with the LES model predictions suggests that the growth of the mixing layer is reasonably well simulated by the model. Overall, the agreement of temperature predictions of the LES model with the radiosonde observations is good. The model appears to underestimate humidity values for the case of higher imposed sensible heat flux. However, the humidity values in the mixing layer agree quite well with radiosonde observations for the case of lower imposed sensible heat flux. The model-predicted temperature and humidity profiles are in reasonable agreement with the tethered balloon data except for some small overestimation of temperature at lower layers and some underestimation of humidity values. However, the humidity profiles as simulated by the model agree quite well with the tethered balloon data for the case of lower imposed sensible heat flux. The model-predicted virtual temperature profile is also in better agreement with RASS data for the case of lower imposed sensible heat flux. The model-predicted temperature profile further agrees quite well with aircraft data for the case of lower imposed heat flux. However, the relative humidity values predicted by the model are lower compared with the aircraft data. The model-predicted humidity profiles are only in partial agreement with the lidar data. The results of this study suggest that the explicitly resolved energetic eddies seem to provide the correct forcing necessary to produce good agreement with observations for the case of an imposed sensible heat flux of 0.1 K m s^–1 at the surface.     

嘉兴夏季臭氧污染的近地层垂直变化特征

基于2018年浙江省嘉兴市14个环境国控站点的O₃历史资料与气象要素,研究O₃与气象要素的关系,并结合差分吸收臭氧雷达的垂直臭氧探测资料,分析近地层O₃廓线变化特征.结果表明,嘉兴地区发生高浓度O₃污染的关键气象要素为24~36℃的大气温度和36%~77%的相对湿度,24℃以上的大气温度与77%以下的相对湿度可作为启动预警O₃污染的气象指标.差分吸收臭氧雷达监测结果显示,无论O₃超标天与清洁天,在垂直方向上其浓度随高度先升后降,在600~800m范围出现峰值;O₃污染时段,在中午到午后低空形成持续向下的O₃输送带,这种低空O₃与地表O₃的叠加机制加重地表O₃污染程度,导致地表O₃超标与低空高浓度相伴出现;其廓线日变化规律表现出800m以下浓度在夜间和凌晨梯度不显著,日出后近地层O₃随时间快速增加,中午和午后持续高值,傍晚随时间逐渐下降的特征.后向轨迹分析表明,10,500,1000m高度层的气流后向轨迹聚类有相似性,500m处沿闽浙海岸线的轨迹簇对应O₃较10m处来自海上的轨迹簇高,这与500m处前体物输送堆积和紫外线辐射增强有关.污染过程近地层气流来向紧贴地面,但中高层有明显下沉气流使得O₃前体物在500m附近堆积,是造成2个典型污染过程中垂直方向上O₃高值出现在500m左右的原因之一.     

Investigation of Boundary Layer Fine Structure in Arid Regions: Injection of Fine Dust into the Atmosphere

Fine structure of the atmospheric boundary layerin desert regions of Kalmykia and on dried bottom of theAral Sea and its relation to soil particle emission in theatmosphere are discussed. It was found that in a hot seasonin the absence of dust storms convective processes lift updust particles into the atmospheric boundary layer fromsandy landscapes of Kalmykia and Sub-Aral regions. Thisaerosol consists of aggregate particles and contains asignificant amount of long-living aerosol of size less than5 m (including fine-dispersion 0.01–0.1 maerosol). The increasing of fine aerosol concentration wasfound at air temperature above 25 °C, surfacetemperature above 50 °C, and relative humidityless than 40–50%. Some mechanisms influencing the particle emission rates are briefly considered.     

The Influence of Synoptic-scale Air Flow and Local Circulation on the Dust Layer Height in the North of the Taklimakan Desert

The present study investigates the influences of synoptic-scale air flows and local wind circulations on the dust layer height (DLH) in the Taklimakan Desert, based on lidar observations performed in the north of the desert in March 2003. The DLH fluctuates approximately every three days between 2500 m (above sea level) and 5000 m, including diurnal variations. Meteorological analyses and numerical simulations show that the three-day fluctuation of DLH corresponds with variations in synoptic-scale air flows over the Taklimakan Desert, and the diurnal variations are linked to downdrafts and updrafts that are formed over the north of the desert as part of local circulations. When strong northerly winds prevail in the upper troposphere and a developed valley wind blows toward the Tienshan Mountains in the lower troposphere, the downdrafts strengthen in the middle troposphere over the north of the desert, lowering the DLH to about 2500 m. In contrast, the DLH rises to about 5000 m when the updrafts develop between strong southerly winds in the upper troposphere and a developed mountain wind blowing from the Tienshan Mountains. Simulations for the local circulation behavior without the presence of the Tienshan Mountains demonstrate that the valley and mountain winds on the southern slope of the Tienshan Mountains control the intensity of the downdrafts and updrafts, thereby influencing the DLH over the north of the Taklimakan Desert.     

基于激光雷达走航车的大气污染物探测技术及其应用

大气气溶胶对人体健康环境和全球气候都有一定的影响,是大气污染的主要来源。为了提升空气质量,大气污染防治刻不容缓。把气溶胶探测激光雷达和测风激光雷达集成在车辆上,进行走航和扫描探测可获得立体的大气气溶胶时空变化状态图。以合肥和芜湖等地大气气溶胶探测为例,基于激光雷达走航车的探测数据,获得大气气溶胶消光系数时空分布图,搜寻污染物排放源和估算颗粒物的PM_2.5输送通量。由此可知,激光雷达走航式探测技术是获得大气污染立体图像便捷的、有效的方法,可为大气污染防治提供精准的科学依据,具有重要的应用价值。     

A lidar-based assessment of riparian shade and large wood potential in the Skagit River watershed,WA

Wild salmon stocks in the Pacific Northwest are imperiled by a variety of declining habitat factors, including riparian shade and in-channel large wood. In this paper, a relatively simple lidar model of the riparian canopy was used along anadromous streams in the Skagit River watershed in western Washington State, United States, to delineate where riparian trees were most lacking, and where restoration efforts would have the greatest benefit in terms of shade and large wood recruitment potential. Within a 45-m riparian buffer, 61% of riparian zones were currently incapable of delivering large wood to the stream. Current potential for large wood recruitment is greatest adjacent to stream edges and falls off rapidly with distance from the channel. Approximately 99% of large wood recruitment potential lies within 45 m of the channel edge, and 50% of the wood potential is within 9 m. A hypothetical canopy model in which all trees mature to a 100-year height would provide 18% more shade distributed over the entire watershed, and 90% more shade in the tributaries. Most of the potential gains in improved shade and large wood contributions are in agricultural areas, as opposed to forestry or urban land uses. The shade and large wood models were constructed from widely available geographic information system tools and are readily transferable to other watersheds with similar characteristics. Model outputs are intended for use in planning restoration projects, as an input to stream temperature models, and to inform policy on restoration priorities and regulatory buffer widths.     

Coupling urban 3-D information and circuit theory to advance the development of urban ecological networks

Ongoing, rapid urban growth accompanied by habitat fragmentation and loss challenges biodiversity conservation and leads to decreases in ecosystem services. Application of the concept of ecological networks in the preservation and restoration of connections among isolated patches of natural areas is a powerful conservation strategy. However, previous approaches often failed to objectively consider the impacts of complex 3-D city environments on ecological niches. We used airborne lidar-derived information on the 3-D structure of the built environment and vegetation and detailed land use and cover data to characterize habitat quality, niche diversity, and human disturbance and to predict habitat connectivity among 38 identified habitat core areas (HCAs) in Nanjing, China. We used circuit theory and Linkage Mapper to create a landscape resistance layer, simulate habitat connectivity, and identify and prioritize important corridors. We mapped 64 links by using current flow centrality to evaluate each HCA's contribution and the links that facilitate intact connectivity. Values were highest for HCA links located in the west, south, and northeast of the study area, where natural forests with complex 3-D structures predominate. Two smaller HCA areas had high centrality scores relative to their extents, which means they could act as important stepping stones in connectivity planning. The mapped pinch-point regions had narrow and fragile links among the HCAs, suggesting they require special protection. The barriers with the highest impact scores were mainly located at the HCA connections to Purple Mountain and, based on these high scores, are more likely to indicate important locations that can be restored to improve potential connections. Our novel framework allowed us to sufficiently convey spatially explicit information to identify targets for habitat restoration and potential pathways for species movement and dispersal. Such information is critical for assessing existing or potential habitats and corridors and developing strategic plans to balance habitat conservation and other land uses based on scientifically informed connectivity planning and implementation.     

广州城区冬季大气边界层气溶胶激光雷达探测

激光雷达是大气边界层气溶胶和云的一个高效探测工具。2010年12月利用Mie散射激光雷达对广州城区冬季大气边界层进行系统观测,分析讨论了测站地域上空大气气溶胶的消光系数垂直分布和时间变化的主要特征。结果表明:冬季广州大气边界层气溶胶主要分布在1100m以下区域,气溶胶分布具有多层结构;大气边界层高度稳定分布在500~620m左右,边界层高度日变化不明显;冬季广州气溶胶源较为稳定并且变化慢;广州城区气溶胶浓度白天比晚上大,峰值出现11颐00~14颐00左右,谷值出现在20颐00左右。     

石家庄冬季典型污染过程气溶胶激光雷达观测

基于2016年冬季石家庄市微脉冲气溶胶激光雷达观测资料,采用归一化梯度法和梯度法两种方法反演了大气污染边界层高度,并将结果与相同时段探空资料获得的边界层高度进行对比验证,同时选取典型个例对污染边界层高度的过程演变特征进行了分析,探索了不同污染等级下污染边界层结构.结果表明,归一化、梯度法反演结果均与探空位温确定的边界层高度存在一致性,相关系数分别为0.62、0.55,均通过了0.05的显著性检验,但归一化相对误差为19%,梯度法为34%,表明归一化梯度法优于梯度法且其反演结果是可靠的.空气质量优良日,归一化梯度法反演结果准确度降低,与位温确定边界层高度最大偏差约1000m;随着污染程度加重,反演结果与位温确定边界层高度差减小,污染期间,污染边界层高度总体低于1000m,污染最重时段降到400m左右.不同空气质量等级、不同高度气溶胶消光系数垂直递减率具有明显差异,污染天气400m高度垂直递减率最大,表明该层以下为较重污染聚积层,之后随高度升高消光系数明显减小,700m以上为清洁空气.     

南京地区冬夏季大气重污染个例对比分析

本文研究了南京仙林地区在秸秆焚烧、逆温造成的大气污染的特征,分析了不同时期大气各成分的浓度变化.秸秆焚烧产生的大气污染事件中,颗粒物浓度上升最为显著,其中PM10的浓度最高可达0.65mg/m3,污染持续时间约36h.冬季污染期持续更长,但颗粒物峰值小于夏季,PM10浓度约在0.4mg/m3.根据Fernald方法反演得到的激光雷达消光系数计算不同高度AOD表明,秸秆焚烧造成的污染在空间上的分布较为均匀而冬季污染期近地表AOD的贡献超过40%.后向轨迹分析表明了污染期的气团在1500m高度的来源和1000m之下有差异,48h内的来源距离较短,近地表的大气质量受到周边地区的影响大,非污染期的气团垂直高度上性质较为均一,来源较为一致,来源距离较长.