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1.
为了解2018年春节期间京津冀地区空气污染情况,利用近地面污染物浓度数据、激光雷达组网观测数据,结合WRF气象要素、颗粒物输送通量和HYSPLIT气团轨迹综合分析污染过程.结果表明,春节期间出现3次污染过程.春节前一次污染过程,各站点PM2.5浓度均未超过200μg/m3;除夕夜,廊坊站点PM2.5峰值浓度达到504μg/m3,是清洁天气的26倍;年初二~初五,各站点PM2.5始终高于120μg/m3,且污染主要聚集在500m高度以下,北京地区存在高空传输,800m处最大输送通量达939μg/(m3·s),此次重污染过程为一次典型的区域累积和传输过程.京津冀地区处于严格管控状态时,燃放烟花爆竹期间PM2.5峰值浓度可达无燃放时PM2.5峰值的3.2倍.为防止春节期间重污染现象的发生,需对静稳天气下燃放烟花炮竹采取预防对策. 相似文献
2.
为研究大气边界层中上层大气颗粒物的数浓度谱分布特征及气团来源的影响,于2018年6月利用3080型SMPS粒径谱仪对武当山14.6~660 nm颗粒物数浓度谱进行观测,分析和探讨了其数浓度谱分布及日变化特征,并结合后向轨迹、潜在源贡献因子法(PSCF)与浓度权重轨迹分析法(CWT)探讨对武当山颗粒物数浓度影响较大的外源输送路径和贡献源区.结果表明:①武当山大气颗粒物主要以爱根模态为主,平均数浓度为2 500个/cm3,积聚模态、核膜态平均数浓度分别为2 265、359个/cm3,3种模态数浓度分别占总数浓度的48.79%、44.21%、7.01%.②在新粒子生成日,核膜态数浓度于10:00开始上升,11:00—17:00的核膜态数浓度相对较高,约2 000个/cm3.新粒子生成日ρ(SO2)与ρ(O3)的日变化趋势均与核模态数浓度较为相似,表明SO2和O3参与光化学反应后的产物(硫酸及有机物)有利于新粒子的生成与增长.新粒子生成日风速、温度均大于非新粒子生成日,但相对湿度较低.③在东部及局地气团影响下大气颗粒物主要以积聚模态为主,数浓度分别为2 311和2 596个/cm3;核模态、爱根模态数浓度在受西北气团影响时最大,数浓度分别为806和3 078个/cm3.④潜在源区分析表明,影响武当山积聚模态数浓度的主要源区为十堰市本地及襄阳市,二者贡献值在840个/cm3以上.研究显示,武当山颗粒物主要以爱根模态为主,颗粒物数浓度日变化主要受大气边界层发展及山谷风的影响,较高的ρ(SO2)与ρ(O3)以及高温、低湿及较大的风速均有利于新粒子的生成,周边城市的区域性传输对武当山颗粒物的影响较大. 相似文献
3.
为研究厦门市冬季不同PM2.5污染情境与气象条件和气团轨迹路径特征的关系,结合PM2.5观测数据,使用AGAGE(Advanced Global Atmospheric Gases Experiment)统计方法识别2014—2018年冬季厦门市PM2.5观测值、基线值和污染值情境,通过气象数据统计和气团后向轨迹聚类对不同PM2.5污染情境下气象条件和气团轨迹路径特征进行探究.结果表明:①厦门市冬季不同PM2.5污染情境下,ρ(PM2.5)及PM2.5污染值情境时长占比均呈波动中下降的趋势,具体表现为冬季PM2.5观测值、污染值和基线值情境下,ρ(PM2.5)平均值分别从2014年的42.2、90.7、16.4 μg/m3降至2018年的26.3、56.9、8.8 μg/m3,冬季PM2.5污染值情境时长占比从2014年的10.2%降至2018年的3.0%.②冬季PM2.5污染值情境下气象要素呈低风速、低气压、高温度、高相对湿度的特征.③冬季到达厦门市的气团轨迹路径中,局地路径由于大气条件稳定易累积形成PM2.5污染;偏北路径和西北路径易从临近省份携带污染物输入导致PM2.5污染,属于重要的外源污染输入路径;沿海路径和偏西路径均属于清洁路径,但沿海路径易在福建省北部与偏北路径重合形成污染输入,加强了偏北路径的污染物输送能力.研究显示,近年来厦门市冬季PM2.5污染有明显减弱趋势,但不利的气象条件和外来污染输入仍会造成PM2.5污染的发生. 相似文献
4.
为了揭示柳州城区春冬季PM2.5的来源及其潜在源区分布和贡献,利用2018年24h自动监测数据和气象数据对柳州市大气污染物浓度变化特征进行了分析,并且使用后向轨迹模型(HYSPLIT)对春冬季柳州市PM2.5逐日72h气流后向轨迹和前向轨迹进行聚类分析,同时结合潜在源贡献因子分析法(WPSCF)和轨迹浓度权重法(WCWT)对其潜在源区和浓度贡献进行了分析.结果显示,(1)在研究期内,不利的主导风向和工业区布局导致研究区PM2.5在春冬季污染较严重,且工业源和交通源是其主要本地来源;(2)春冬季PM2.5高值主要来源于西北和东南方向,其中,西北向PM2.5主要来源于本地排放,且浓度在空间上呈现西高东低的趋势;(3)春季后向轨迹PM2.5浓度整体大于冬季,春冬季中对柳州市PM2.5影响最大轨迹均来自东部的短距离输送,而来自西北的气流轨迹输对PM2.5贡献最低.春冬季柳州市大气PM2.5通过气流传输对贵州地区大气环境有较大影响;(4)春季,柳州市PM2.5的主要潜在源区分布在广西东南部、广东中西部、南海沿岸海域、湖南中部、江西西北部、湖北东部及安徽西北部;冬季,主要分布在广西东南部、广东西南部和南海沿岸海域. 相似文献
5.
利用2017年1月1日~2017年12月31日重庆市主城区17个国控空气质量监测站24 h自动连续采样的二氧化氮(NO_2)浓度小时数据,探讨九个主城区大气中NO_2浓度的时空分布特征、与气象参数之间的关系和气团运动的影响。结果表明,主城区大气NO_2浓度全年北碚区达标率较高(76.16%),渝中区达标率低(3.84%),日均浓度呈夏季前下降、夏季后上升的趋势;月均浓度表现为冬季月份浓度高,其次为春季、秋季和夏季月份;周六、周日、周一和周二的浓度均值较高,周三、周四和周五的较低;小时浓度基本呈5:00~11:00和16:00~20:00上升、其余时间段下降的变化趋势;大气NO_2浓度空间分布差异显著,西北地区(北碚)大气NO_2浓度偏低、渝中区及其附近区域浓度偏高。影响大气中的NO_2浓度的主要气象因素有:气温、降水量、气压、日照和相对湿度;四季气流输送中,春冬季气流轨迹相似,主要源自西部、西北部气流,春季气流轨迹的ρ(NO_2)最高,夏季最低。研究结果可为今后重庆市大气的治理提供研究基础。 相似文献
6.
通过对阿拉伯半岛地面90个气象站20年沙尘天气、AI指数及风场的时空分布特征结合气象条件分析,确定该区域沙尘天气的发生规律及传输路径.结果表明:永久多尘地区是半岛扬沙发生最频繁的区域,从2月开始扩张,并在6月达到最大.浮尘的时空分布与扬沙类似,但还存在希贾兹山脉北部和波斯湾沿岸的高值中心,3月与永久多尘地区的高值区连成一片,6~7月达到最大,然后开始收缩并分裂成几个小中心.AI指数存在一个像倒箭头的相对高值中心,其变化具有明显的单峰分布,强度和范围在6月最大.10~4月和5~9月半岛分别盛行顺时针、逆时针旋转的风向,它们将沙尘远程传输到下游地区.天气学分析表明,冷锋入侵半岛使得来自北方的冷空气快速锲入暖空气之下,是导致沙尘天气出现的主要原因;后向轨迹聚类分析显示,半岛存在3类传输路径,其重要性依次为西北方向撒哈拉沙漠的远程传输、反气旋风场将来自伊拉克或伊朗的沙尘远程传输和本地的沙尘源传输. 相似文献
7.
利用紫外-可见光谱与三维荧光光谱,结合拉格朗日混合单粒子轨道模型及火点图,研究了重庆2013年夏、冬两季雨水DOM光谱特征,并对其来源进行解析.结果表明,雨水DOM与水体、土壤DOM具有类似性质光谱特征,证明降雨DOM也是陆地及水环境中DOM地化特征的重要贡献者.雨水DOM中DOC含量为0.88~12.80 mg·L-1,CDOM含量在3.17~21.11m-1之间,夏、冬两季降雨DOM差异明显(P0.05).与夏季相比,冬季降雨DOM分子量较小,芳香性程度较低,腐殖化程度也更低,输入主要以本地和短距离输送为主;而夏季DOM来源较分散.尽管吸收和荧光光谱可用于解析雨水DOM组成和来源,但在光谱特征的解析和来源识别上与其他来源DOM有所区别,传统"内、外源区分"并不适用于雨水DOM. 相似文献
8.
9.
2013-2015年上海市霾污染事件潜在源区贡献分析 总被引:6,自引:0,他引:6
统计分析2013-2015年上海市每个月不同空气质量等级天数比重,根据HYSPLIT(Hybrid Single Particle Lagrangian Integrated Trajectory)后向轨迹模型对3年内的12月份影响上海地区的污染气团进行了综合聚类分析和逐年聚类分析.在综合12次严重霾事件的后向轨迹基础上,结合上海实时公布的PM2.5小时浓度资料,对潜在源贡献因子PSCF(Potential Source Contribution Function)和浓度权重轨迹CWT(Concentration-weighted Trajectory)进行分析与比较,研究重霾期间影响上海PM2.5质量浓度的潜在源区及不同源区对PM2.5质量浓度的贡献差异.结果显示,上海市3年期间12月份霾颗粒物外来源主要输送渠道为西北路径和北方路径,源自于西北方向的气团比重占总气团的50.4%,北方向的气团几乎都经过海洋后进入上海地区.影响上海地区PM2.5质量浓度的潜在源区主要分布在安徽、江苏和山东地区,此外江西北部、浙江北部、河北南部及山西少部分地区也对重霾事件中的污染物颗粒有一定程度的贡献. 相似文献
10.
Long-range atmospheric transport of three toxaphene congeners across Europe. Modeling by chained single-box FATEMOD program 总被引:1,自引:1,他引:0
Jaakko Paasivirta Seija Sinkkonen Vladimir Nikiforov Fedor Kryuchkov Erkki Kolehmainen Katri Laihia Arto Valkonen Manu Lahtinen 《Environmental science and pollution research international》2009,16(2):191-205
Background, aims, and scope Since toxaphene (polychlorocamphene, polychloropinene, or strobane) mixtures were applied for massive insecticide use in the
1960s to replace the use of DDT, some of their congeners have been found at high latitudes far away from the usage areas.
Especially polychlorinated bornanes have demonstrated dominating congeners transported by air up to the Arctic areas. Environmental
fate modeling has been applied to monitor this phenomenon using parallel zones of atmosphere around the globe as interconnected
environments. These zones, shown in many meteorological maps, however, may not be the best way to configure atmospheric transport
in air trajectories. The latter could also be covered by connecting a chain of simple model boxes. We aim to study this alternative
approach by modeling the trajectory chain using catchment boxes of our FATEMOD model. Polychlorobornanes analyzed in biota
of the Barents Sea offered one case to study this modeling alternative, while toxaphene has been and partly still is used
massively at southern East Europe and around rivers flowing to the Aral Sea.
Materials and methods Pure model substances of three polychlorobornanes (toxaphene congeners P26, P50, and P62) were synthesized, their environmentally
important thermal properties measured by differential scanning calorimetry, as evaluated from literature data, and their temperature
dependences estimated by the QSPR programs VPLEST, WATSOLU, and TDLKOW. The evaluated property parameters were used to model
their atmospheric long-range transport from toxaphene heavy usage areas in Ukraine and Aral/SyrDarja/AmuDarja region areas,
through East Europe and Northern Norway (Finnmarken) to the Barents Sea. The time period used for the emission model was June
1997. Usual weather conditions in June were applied in the model, which was constructed by chaining FATEMOD model boxes of
the catchment’s areas along assumed maximal air flow trajectories. Analysis of the three chlorobornanes in toxaphene mixtures
function as a basis for the estimates of emission levels caused by its usage. High estimate (A) was taken from contents in
a Western product chlorocamphene and low estimate (B) from mean contents in Russian polychloroterpene products to achieve
modeled water concentrations. Bioaccumulation to analyzed lipid of aquatic biota at the target region was estimated by using
statistical calculation for persistent organic pollutants in literature.
Results The results from model runs A and B (high and low emission estimate) for levels in sea biota were compared to analysis results
of samples taken in August 1997 at Barents Sea. The model results (ng g−1 lw): 4–95 in lipid of planktovores and 7–150 in lipid of piscivores, were in fair agreement with the analysis results from
August 1997: 21–31 in Themisto libellula (chatka), 26–42 in Boreocadus saida (Polar cod), and 5–27 in Gadus morhua (cod) liver.
Discussion The modeling results indicate that the application of chained simple multimedia catchment boxes on predicted trajectory is
a useful method for estimation of volatile airborne persistent chemical exposures to biota in remote areas. For hazard assessment
of these pollutants, their properties, especially temperature dependences, must be estimated by a reasonable accuracy. That
can be achieved by using measurements in laboratory with pure model compounds and estimation of properties by thermodynamic
QSPR methods. The property parameters can be validated by comparing their values at an environmental temperature range with
measured or QSPR-estimated values derived by independent methods. The chained box method used for long-range air transport
modeling can be more suitable than global parallel zones modeling used earlier, provided that the main airflow trajectories
and properties of transported pollutants are predictable enough.
Conclusions Long-range air transport modeling of persistent, especially photo-resistant organic compounds using a chain of joint simple
boxes of catchment’s environments is a feasible method to predict concentrations of pollutants at the target area. This is
justified from model results compared with analytical measurements in Barents Sea biota in August 1997: three of six modeled
values were high and the other three low compared to the analysis results. The order of magnitude level was similar in both
modeled (planktovore and piscivore) and observed (chatka and polar cod) values of lipid samples. The obtained results were
too limited to firm validation but are sufficient to justify feasibility of the method, which prompts one to perform more
studies on this modeling system.
Recommendations and perspectives For assessment of the risk of environmental damages, chemical fate determination is an essential tool for chemical control,
e.g., for EU following the REACH rules. The present conclusion of applicability of the chained single-box multimedia modeling
can be validated by further studies using analyses of emissions and target biota in various other cases. To achieve useful
results, fate models built with databases having automatic steps for most calculations and outputs accessible to all chemical
control professionals are essential. Our FATEMOD program catchments at environments and compound properties listed in the
database represent a feasible tool for local, regional, and, according our present test results, for global exposure predictions.
As an extended use of model, emission estimates can be achieved by reversed modeling from analysis results of samples corresponding
to the target area.
This article is dedicated to the memory of Professor Alexander B Terentiev (who passed away in November 2006), our true friend.
With his Institute of Organo-Element Compounds, Russian Academy of Science, Moscow, he was an important main organizer of
the six joint Finnish–Russian seminars (every third year since 1989) on the field (‘Chemistry and Ecology of Organo-Element
Compounds’). He prompted us especially to search properties and environmental fates for various polyhalogen compounds. We
remember him for his friendly character and great sense of humor. 相似文献