基于HOT影像优化的遥感影像去雾算法

针对BSHTI和IBSHTI两种算法对卫星影像云雾校正后,地表的色调和纹理等细节缺失严重的问题,提出OIBSHTI算法对IBSHTI算法得出的雾厚度图像进行地表信息削减。通过填洼算法去除暗色区域,并引入纹理和边缘信息等进行优化处理,在彻底去除云雾的同时保留地表的色调和纹理,特别是蓝色或红色建筑物房顶的校正效果较为明显。     

2016年11月大气环流和天气分析

2016年11月大气环流特征如下,北半球极涡呈双极型分布;欧亚中高纬乌拉尔山地区为一高压脊控制,西西伯利亚地区为一较强横槽,我国中高纬纬向环流较平直,处于宽广的位势高度负距平区,西太平洋副热带高压位置偏西偏强,南支槽平均位置位于90°E 附近。11月全国平均降水量30.6 mm,较常年同期（19 mm）偏多61%,共出现4次较强降水过程;江南及华南地区雨日多雨量大。全国有14站发生了极端连续降水日数事件,71站日降水量超过当地11月历史同期极大值。11月全国平均气温为2.9℃,与常年同期持平。共有4次较强冷空气过程,造成我国180站发生了极端日降温事件,其中30站日降温突破历史极值。11月出现4次大范围严重雾 霾天气过程。此外,西北太平洋和菲律宾南海有三个台风生成,对我国影响较小。     

Investigating the Transport Mechanism of PM2.5 Pollution during January 2014 in Wuhan,Central China

Severe haze pollution that occurred in January 2014 in Wuhan was investigated. The factors leading to Wuhan’s PM_2.5 pollution and the characteristics and formation mechanism were found to be significantly different from other megacities, like Beijing. Both the growth rates and decline rates of PM_2.5 concentrations in Wuhan were lower than those in Beijing, but the monthly PM_2.5 value was approximately twice that in Beijing. Furthermore, the sharp increases of PM_2.5 concentrations were often accompanied by strong winds. A high-precision modeling system with an online source-tagged method was established to explore the formation mechanism of five haze episodes. The long-range transport of the polluted air masses from the North China Plain (NCP) was the main factor leading to the sharp increases of PM_2.5 concentrations in Wuhan, which contributed 53.4% of the monthly PM_2.5 concentrations and 38.5% of polluted days. Furthermore, the change in meteorological conditions such as weakened winds and stable weather conditions led to the accumulation of air pollutants in Wuhan after the long-range transport. The contribution from Wuhan and surrounding cities to the PM_2.5 concentrations was determined to be 67.4% during this period. Under the complex regional transport of pollutants from surrounding cities, the NCP, East China, and South China, the five episodes resulted in 30 haze days in Wuhan. The findings reveal important roles played by transregional and intercity transport in haze formation in Wuhan.     

四川盆地大气层中矿物颗粒-甲苯-Cr3+耦合规律模拟研究

四川盆地大气层具有湿度高和流通性弱的特征,冬春低温季节易形成雾霾。本文着重构建了低温高湿条件下的石英、方解石纳米颗粒与甲苯、Cr~(3+)共存体系,系统测试了石英、方解石颗粒与甲苯、Cr~(3+)耦合前后Zeta电位值、胶体粒径及团聚形态、亲疏水性的变化趋势,以模拟研究四川盆地低温高湿静稳大气环境中矿物颗粒、有机物、重金属离子之间的耦合作用规律。研究发现:甲苯、Cr~(3+)与石英、方解石之间存在显著的成键耦合作用,甲苯、Cr~(3+)存在时会大幅度降低高湿度环境中石英、方解石颗粒的Zeta电位值,增大两种矿物颗粒在低温条件下的活跃度; Cr~(3+)可通过静电作用力,促使石英、方解石颗粒在高湿度环境中形成粒径更大的团聚状胶体;甲苯吸附在石英和方解石颗粒表面会增强其疏水性,减弱高湿度水分对矿物胶体稳定性的侵扰。上述有关石英/方解石颗粒、甲苯、Cr~(3+)在低温高湿条件下的界面成键耦合作用规律发现,对理解四川盆地雾霾形成机制有积极的启发意义。     

天津雾和霾自动观测与人工观测的对比评估

为适应地面气象观测业务调整方向,提高新型自动气象站观测资料的质量及可用性,研究中对天津地区10个地面气象站1951—2014年历年2月人工观测及2014年2月自动观测和人工观测的轻雾、雾、霾现象进行对比评估。结果表明:天津地区历年2月轻雾的平均日数为10 d,雾和霾均为2 d,轻雾和霾同期出现的日数占有天气现象的7.4%,而雾和霾同期出现日数仅占0.7%;平行观测期的对比分析得到人工观测轻雾日数比自动观测多11 d,雾日数和霾日数均比自动观测少6 d,其中,轻雾和雾的判别差异集中出现在每日08:00(北京时,下同),霾则基本出现在每日08:00,14:00,17:00,20:00;通过对比自动观测和人工观测的能见度数据发现,二者相对偏差达25.1%,能见度小于15.0 km时,自动观测的能见度有60%~76%数值偏小,特别是08:00和20:00, 因此,在相对湿度满足条件的情况下,能见度的判别误差是导致自动观测与人工观测轻雾、雾、霾现象判别差异的重要原因。     

2013年1月华北灰霾气溶胶光学特性的垂直分布

利用Cloud-Aerosol Li DAR with Orthogonal Polarization(CALIOP)正交极化云—气溶胶激光雷达资料、Aerosol Robotic Network(AERONET)气溶胶观测资料、地面常规气象观测资料和Hybrid Single-Particle Lagrangian Integrated Trajectory(HYSPLIT)模式分析了2013年1月份华北地区的3次中重度灰霾天气过程,着重对灰霾天气过程中大气气溶胶的衰减后向散射系数、退偏比和色比等光学参数的垂直分布进行了研究。结果表明,2013年1月份华北地区灰霾天气发生时,低层大气(2 km)以下污染最严重,存在大量的气溶胶粒子。1月29日重度灰霾时气溶胶的后向散射系数增大至0.0045 km-1·sr-1,退偏比大于20%,0—8 km高度范围内的色比值大于100%的比例约为36.3%;气溶胶光学厚度从0.2增大至2.1,Angstrom指数由1.4降至0.9,表明气溶胶光学厚度增加的同时,大气中混合的粗粒子气溶胶比重增加。HYSPLIT后向轨迹模拟结果显示:500 m、1000 m和1500 m 3个高度的气流均途经蒙古国、中国内蒙古自治区、西北地区,最后影响华北地区,表明这次灰霾污染事件除受本地排放的气溶胶粒子影响,还受到源于蒙古国、内蒙古、中国西北部地区远程输送的沙尘影响。     

中国霾天气的气候特征分析

利用1961-2007年全国721个气象站的霾天气观测资料,分析了中国大陆地区霾天气的时空分布特征.结果表明:中国的霾天气主要分布在100°E以东、42°N以南地区,且"浊岛"现象非常明显;霾天气的季节分布基本为冬多夏少;近47年中国霾天气的总体趋势为波动增多,线性倾向率为3.19d/10a,1960年代至1970年代中期处于少霾的负位相,1976-2000年在很弱的正位相内振荡,但近5年霾天气显著增多;47年间中国霾天气序列有2次明显的突变,分别位于1970年代中期和2000年之后;在年际尺度上,霾天气与风力条件具有很好的反相关对应关系,f≥5 m·s-1日数和f≥10m·s-1日数与霾日数的相关系数分别为-0.809和-0.734,表明风力条件(大气污染物稀释扩散能力)的变化对霾天气增减趋势的影响非常显著.     

灰霾过程中的气溶胶特性观测研究

结合太阳光度计、激光雷达以及其他相关数据对河北香河县2007年4月初的一次灰霾天气过程中的气溶胶特性进行了遥感研究。研究表明,在这次灰霾的爆发期间,能见度从20 km下降到3 km左右;气溶胶光学厚度（AOD）在3个波段上都明显增加,特别是380 nm处的AOD从6日的031增长到10日的140;Angstrom指数(ALPHA)也明显下降,例如340~440 nm处的ALPHA从7日的145下降到10日的099。从AOD和ALPHA在短波处的较大变化、体积浓度谱的粗模态粒子的大量增加和PM10浓度值的变化分析来看,这次灰霾过程中的气溶胶数浓度明显增加,其中还含有大颗粒物的大量导入。激光雷达探测消光系数的垂直分布也显示气溶胶在垂直高度上达到了近3 000 m左右。从微物理特征的变化上看,这次灰霾过程中局地气溶胶的散射能力增强,吸收能力减弱。另外,通过HYSPLIT模式对后向轨迹的模拟和对NCEP数据的分析,发现这次灰霾过程中所包含的大颗粒物的主要源地可能是蒙古地区,所以气溶胶呈现了一定的沙尘气溶胶特征。     

RUNAWAY FIRES,SMOKE‐HAZE POLLUTION,AND UNNATURAL DISASTERS IN INDONESIA*

ABSTRACT. Fires on Sumatra and Kalimantan have taken a heavy toll on Indonesia' remaining tropical forests. Drought exacerbates the fire hazard, but it does not cause the fires, most of which have been the result of inappropriate land‐use policies and practices. Peatland fires have emitted vast quantities of smoke that periodically blanket large parts of insular Southeast Asia, impairing visibility, disrupting travel, hampering economic activity, and posing serious health risks. The development agenda of Indonesia' New Order regime paid scant attention to forest management, including the need to detect, control, and suppress unwanted fires.     

Impact of forest fires on regional air quality in Southeast Asia

Biomass burning, the burning of living and dead vegetation for land-clearing and land-use change, has been in practice in many tropical countries such as Brazil, Indonesia, Nigeria, and Mexico. Intense forest fires can also ignite subsurface organic soil components （e.g. peat）, which can continue to smolder long after the original surface fires are put out. Combustion of vegetation and peat has only recently been recognized as a major source of atmospheric pollution. The immediate effect of burning is the production and release of gases and particles into the atmosphere, in quantities that in some cases can be significant not only locally and regionally but also on a global scale. Vegetation fire emissions account for roughly half of the atmospheric constituents of hydrocarbon, carbon monoxide, nitrogen oxides, and precursors of tropospheric ozone and may be the second largest source of anthropogenic aerosols after the production of sulfates from SO2. As a result, there has been considerable interest in studying the contribution of forest fires to the production of air pollutants. In recent years, Southeast Asian countries have been affected repeatedly by episodes of smoke haze from forest fires in Indonesia. During 1997-1998, the region was again shrouded in a haze worsened by prolonged drought linked to the E1 Nino weather phenomenon. Satellite pictures confirmed that air pollutants, originating from fires covering an estimated 800000 hectares of southern Kalimantan, Sumatra, and Java, have been transported by southwesterly monsoon winds across neighbouring Malaysia and Singapore to as far as Thailand and the Philippines. The impact of these extensive fires on the health of the residents and ecology in the affected areas was substantial, costly, and possibly long lasting. Most of the research on the environmental aspects of biomass burning has been directed towards the tropics in Africa and America, specifically to the tropical rain forests of Brazil and to the savannas of Africa and South America.