“控煤”：煤炭行业遭遇又一场“大地震”

在近日召开的中国国际煤炭大会上,有业内人士透露,为落实去年出台的《大气污染防治行动计划》,一份更加详细的＂控煤＂方案不久后将浮出水面。如今煤炭行业大势已去是不争的事实,煤价下跌、供过于求的局面成为近两年煤炭行业挥之不去的梦魇。     

长三角区域大气污染协同治理的时空演化特征及其影响因素

在长三角更高质量一体化发展的战略背景下,构建区域间环境协同治理体系,是提升区域大气污染治理成效的可行性选择。本文从环境规制的政策文件、实施过程、治理效果3个维度,构建大气污染规制耦合度评价体系,探究长三角区域41个城市2003—2019年大气污染规制耦合度的时空演化特征。以此为基础,对长三角区域各城市划分区域协同治理小组,并分别测算其大气污染治理协同水平,进而探究长三角区域大气污染协同治理的影响因素。结果显示：① 各城市的大气污染规制耦合度整体上表现为连片集聚发展特征,呈现出上海市最高、浙江省和江苏省次之、安徽省再次之的格局,且区域差异性不断缩小;② 长三角区域整体大气污染治理协同度较低,但在波动中呈缓慢上升趋势,划分区域治理组后各小组大气污染治理协同度保持在较高水平;③ 影响因素分析结果表明,地区间对外开放差异、公共交通差异和绿化建设差异对长三角区域大气污染协同治理有着显著的抑制作用,而经济增长差异和技术创新差异具有显著的积极影响。     

The Seasonal Variabilities in the Concentration of Atmospheric Aerosols over Qingdao, China

Mass concentrations of Total Suspended Particles （TSP） and size-segregated particles were obtained from July 2001 to June 2002 in Qingdao to characterize the seasonal variations of atmospheric aerosols and to show the impact of dust events on the air quality in Qingdao. Data on size-segregated aerosols show that 73.74% of the TSP mass concentration is contributed by particles with diameters less than 11 μm. Particles with diameters less than 1.1μm have a higher concentration during the winter. In spring, larger particles tend to have higher mass concentrations. Bimodal particle size distributions have been observed, with maxima around 4.7-7 μand 0.43-0.65 μm in the winter season, and 7-11 μm and 0.65-1.1 μm in the autumn season. Measurements made during the dust events in March 2002 show high concentrations of particles in the size range 2.1-7μm.     

陕西省大气污染与防治措施浅析

城市大气污染是世界各国面临的最大挑战之一,从2012年上半年关中各市(区)和延安市空气达标率入手,结合2011-2012年陕西省社会经济统计资料,归纳出地理气候条件,能源消费结构、产业结构、交通运输等四方面为陕西省大气污染主要因素影响因素,提出继续优化产业结构,加快能源结构调整等五项治理措施,实现空气质量改善,保证人民群众健康。     

烟尘天气的相关分析及大气污染对生存环境的影响

烟尘天气的发生、发展对大气环境的污染有着决定性的作用。本文利用黑龙江省气象台观测站1988-2008年21 a地面气象观测资料,分析哈尔滨市香坊区烟尘天气的变化规律、气象要素特征及其之间的相关性,结果表明,哈尔滨烟尘天气日数1月最多,7月最少,秋冬两季占全年烟尘天气日总数的78.9%;年烟尘天气日数总体呈下降趋势。影响哈尔滨市香坊区烟尘天气发生和发展的气象因素主要有风、大气稳定度以及天气形势等。     

EFFECTS OF WATER TABLE AND NITROGEN ADDITION ON CO2 EMISSION FROM WETLAND SOIL

Soil respiration is a main dynamic process of carbon cycle in wetland. It is important to contribute to global climate changes. Water table and nutritious availability are significant impact factors to influence responses of CO₂ emission from wetland soil to climate changes. Twenty-four wetland soil monoliths at 4 water-table positions and in 3 nitrogen status have been incubated to measure rates of CO₂ emission from wetland soils in this study. Three static water-table controls and a fluctuant water-table control, with 3 nitrogen additions in every water-table control, were carried out. In no nitrogen addition treatment, high CO₂ emissions were found at a static low water table (I) and a fluctuant water table (IV), averaging 306.7mg/(m²·h) and 307.89mg/(m²·h), respectively, which were 51%–57% higher than that at static high water table (II and III). After nitrogen addition, however, highest CO₂ emission was found at II and lowest emission at III. The results suggested that nutritious availability of wetland soil might be important to influence the effect of water table on the CO₂ emission from the wetland soil. Nitrogen addition led to enhancing CO₂ emissions from wetland soil, while the highest emission was found in 1N treatments other than in 2N treatments. In 3 nutritious treatments, low CO₂ emissions at high water tables and high CO₂ emissions at low water tables were also observed when water table fluctuated. Our results suggested that both water table changes and nutritious imports would effect the CO₂ emission from wetland. Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 90211003) and the Knowledge Innovation Program of Chinese Academy of Sciences (No. KACX3-SW-332) Biography: YANG Ji-song (1978-), male, a native of Chengwu of Shandong Province, Ph.D. candidate, specialized in environmental ecology and wetland biogeochemistry. E-mail: yangjisong@neigae.ac.cn     

攀枝花市大气污染物降水清除机制的研究

本文采用了主成份分析及因子分析的方法,研究了影响降水pH值的主要源及其贡献和这些源被降水清除的机制。分析结果表明:大气中一次污染物是影响降水pH及各种成分浓度的主要因素。人为污染源包括高排放源、低排放源和汽车源,它们的排放物以碱性物质为主;自然污染源包括输送物、腐烂物、自然NOx等,它们的排放物主要是酸性物质;在一般情况下,降水的pH值取决于高、低排放源排放的碱性物质的多寡;降水量越大,清除的污染物越多,在雨季各测点降水平均pH值为6.31～7.10。在高排放源影响小的地方,对持续时间长的大雨,降水后期的pH能反映自然源的影响,其值小于5.60。可见,攀枝花市酸雨几率极低甚至降水呈碱性,     

Absorption properties of urban/suburban aerosols in China

The broadband diffuse radiation method is improved to retrieve the aerosol refractive index imaginary part （AIP） and broadband （400-1000 nm mean） single scattering albedo （SSA）. In this method, four sets of SSA selection criteria are proposed for quality control. The method is used to retrieve AIP, SSA and absorptive optical thickness （AbOT） from routine hourly-exposed pyrheliometer and paranometer measurements over 11 sites （meteorological observatories） in China during 1998-2003. Apart from one suburban site （Ejin Qi）, the other urban sites are all located around big or medium cities. As shown in the retrieval results, annual mean SSA during 1998-2003 changes from 0.941 （Wuhan） to 0.849 （Lanzhou）, and AIP from 0.0054 to 0.0203. The 11-site average annual mean SSA and AIP are 0.898 and 0.0119, respectively. SSA during winter is smaller for most sites. There is an evidently positive correlation between SSA and aerosol optical thickness （AOT） for all sites. There is also a positive correlation between SSA and relative humidity for most sites, but a negative correlation for a few sites, such as Kashi and ǚrǚmqi in Northwest China.     

PCA-BP神经网络在SO2浓度预报中的应用

将基于主成分分析(PCA)的BP神经网络预报方法引入大气污染预报,建立SO2浓度预报模型.结果表明:应用主成分分析对数据进行前处理,以原始预报因子的主成分作为BP神经网络的输入,降低了数据维数,消除了样本间存在的相关性,大大加快了BP神经网络的收敛速度.对模型进行预报验证,预报值与实际值之间的绝对误差为0.0098,预报值与实际值的相关系数达到0.885,得到较好的预报效果.并且比一般的BP神经网络模型具有较高的拟合和预报精度.