北京市某垃圾焚烧厂周边大气二(口恶)英污染特征及暴露风险

2014年4月至2015年1月对北京市某生活垃圾焚烧发电厂周边6 km范围内7个采样点采集环境空气,应用高分辨气相色谱-高分辨质谱（HRGC-HRMS）联用技术对二英（PCDD/Fs）浓度水平进行监测并对其组成特征及时空特征进行了分析.结果表明该生活垃圾焚烧发电厂周边环境空气中PCDD/Fs质量浓度的变化范围为8.9~140 pg·m^-3,毒性当量（TEQ）变化范围为0.11~1.8 pg·m^-3,其中秋季霾天4个采样点和冬季全部采样点超出日本环境空气质量标准限值（TEQ：0.6 pg·m^-3）.1,2,3,4,6,7,8-HpCDF和OCDD是四季空气中PCDD/Fs质量浓度的主要贡献单体,年平均贡献率分别为20.5%和14.0%,而2,3,4,7,8-PeCDF是总TEQ贡献最大的单体,年平均贡献率为43.3%.空间分布特征表现为各采样点浓度水平与距污染源距离远近没有显著相关性;季节变化特征表现为冬季值显著高于其他季节,分析可能与冬季燃煤采暖及大气扩散条件差导致的大气颗粒物污染较重有关,与各季采样时段内大气PM₁₀和PM_2.5的平均浓度水平呈正相关相一致.样品中二英同族体及异构体分布指纹谱图与该焚烧设施排放烟气存在差别,主成分分析（PCA）源解析结论与指纹谱图特征分析结论一致.二英呼吸暴露剂量估算结果表明该区域人群呼吸暴露风险总体处于较为安全的水平[0.060~0.224 pg·（kg·d）^-1],但仍需关注大气颗粒物重污染天气发生时的呼吸暴露风险.     

泉州市大气PM2.5中水溶性离子季节变化特征及来源解析

为掌握泉州市大气PM_(2.5)中无机水溶性离子的季节变化特征,于2014年3月~2015年1月同步采集了泉州市5个采样点共116个PM_(2.5)样品.用离子色谱法分析了PM_(2.5)中Na~+、NH_4~+、K~+、Ca~(2+)、Mg~(2+)、F~-、Cl~-、NO_3~-和SO_4~(2-)等9种水溶性无机离子.观测期间,总水溶性离子浓度季节变化特征为春季(14.24±6.43)μg·m~(-3)冬季(8.54±7.61)μg·m~(-3)夏季(4.10±2.67)μg·m~(-3)秋季(3.91±2.58)μg·m~(-3);SO_4~(2-)、NO_3~-和NH_4~+(SNA)是PM_(2.5)中主要的3种离子,占水溶性离子总质量浓度比例分别为春季(90.3±3.3)%、夏季(68.8±11.7)%、秋季(78.9±7.1)%和冬季(74.0±18.4)%,说明春季二次污染较为严重;PM_(2.5)中阴、阳离子电荷平衡分析显示,阴离子相对亏损,大气细颗粒物组分呈弱碱性;春、冬季NH_4~+主要以(NH_4)_2SO_4、NH_4HSO_4和NH_4NO_3等形式存在,而夏、秋季则主要以NH_4HSO_4和NH_4NO_3形式存在;PMF源解析结果表明,泉州市大气PM_(2.5)中水溶性离子主要来自海盐、二次源、建筑扬尘、垃圾焚烧源和生物质燃烧源.     

长江口最大浑浊带潮滩沉积物间隙水营养盐剖面研究

2005-03～2006-02对长江口崇明东滩高、中、低潮滩3个典型站点沉积物间隙水中各营养盐成分含量及其随深度的变化做了为期1a的逐月观测.结果显示,研究区域间隙水中NH₄⁺和SiO₃^2-的浓度一般在200～500μmol/L之间,高、中、低潮滩间显示出了不同的分布态势;与高潮滩和中潮滩相比,没有植被覆盖、粒径较粗的低潮滩往往具有较高的NH+4浓度和较低的SiO₃^2-浓度;     

Seasonal variation of nitrogen-concentration in the surface water and its relationship with land use in a catchment of northern China

Surface waters can be contaminated by human activities in two ways: (1) by point sources, such as sewage treatment discharge and storm-water runoff; and (2) by non-point sources, such as runoff from urban and agricultural areas. With point-source pollution effectively controlled, non-point source pollution has become the most important environmental concem in the world. The formation of non-point source pollution is related to both the sources such as soil nutrient, the amount of fertilizer and pesticide applied, the amount of refuse, and the spatial complex combination of land uses within a heterogeneous landscape. Land-use change, dominated by human activities, has a significant impact on water resources and quality. In this study, fifteen surface water monitoring points in the Yuqiao Reservoir Basin, Zunhua, Hebei Province, northem China, were chosen to study the seasonal variation of nitrogen concentration in the surface water. Water samples were collected in low-flow period(June), high-flow period(July) and mean-flow period(October) from 1999 to 2000. The results indicated that the seasonal variation of nitrogen concentration in the surface water among the fifteen monitoring points in the rainfall-rich year is more complex than that in the rainfall-deficit year. It was found that the land use, the characteristics of the surface river system, rainfall, and human activities play an important role in the seasonal variation of N-concentration in surface water.Keywords: non-point source pollution; nitrogen concentration; seasonal variation; land use; Yuqiao Reservoir Basin, China     

基于空间聚类的中国东北气候分区及其气象干旱时间变化特征

近50年来,中国东北地区干旱化趋势明显,越来越频繁的干旱事件对该区域人民的生产和生活造成了严重的影响。基于1961-2016年中国地面降水和气温月值0.5°×0.5°格点数据,利用空间系统聚类方法对中国东北进行气候分区,通过标准化降水指数探讨了中国东北各亚区气象干旱的时间演变规律,并结合小波功率谱和小波全谱分析了各亚区干旱的周期变化特征。结果表明：（1）空间上,可将东北地区分为8个气候亚区,即西辽河平原半干旱农牧区、吉辽东部山地湿润农林区、呼伦贝尔高原半干旱牧业区、东北中部半湿润—半干旱农牧区、黑吉东部山地湿润农林区、大兴安岭北部湿润林业区、呼伦贝尔—黑河湿润—半湿润农林区、三江平原湿润农业区;（2）不同亚区的干旱事件时间演变特征存在明显差异,但大致都经历了3个干旱时期：1960s后期、1970s中后期至1980s前期、1990s后期至2000s;2000-2010年间东北地区干旱发生频率和影响范围最大,尤其是中、西部;（3）不同亚区干旱变化主要存在11年和3~8年的显著周期,第一主周期差异明显。研究结果对于弄清楚中国东北各亚区特有的气候变化驱动因素、制定气候均质区域干旱监测计划和水资源的管理具有重要的现实意义。     

Trend and seasonal variations of atmospheric CH4 in Beijing

The atmospheric CH4 in Beijing is still increasing, even though its increasing rate has significantly decreased from 1.76 ％/a during 1985-1989 to 0.50 ％/a during 1990-1997. The seasonal variation of CH4 concentration showed a double-peak pattern, one peak appearing in winter and the other in summer. It is evident that the annually seasonal variations of atmospheric CH₄ in Beijing are different. From 1986 to 1997, the atmospheric CH₄ increased by 185 ppbv, 37％ and 21％ of which were due to the increase in winter and in summer, respectively. After 1993, the annually seasonal increasing rate of CH4 concentration in summer (due to emission from biogenic sources) is negative while the increasing rate in winter (due to emission from non-biogenic sources) is positive about 25 ppbv/a. As a result, the increase of CH₄ emission from non-biogenic sources in winter is the major reason that caused theannually seasonal increasing rate from 1993 to 1997. The biogenic sources in Beijing are shrinking while the non-biogenic ones (such as fossil fuel combustion) are enlarging.     

Trend and seasonal variations of atmospheric CH4 in Beijing

The atmospheric CH4 in Beijing is still increasing, even though its increasing rate has significantly decreased from 1.76 ％/a during 1985-1989 to 0.50 ％/a during 1990-1997. The seasonal variation of CH4 concentration showed a double-peak pattern, one peak appearing in winter and the other in summer. It is evident that the annually seasonal variations of atmospheric CH4 in Beijing are different. From 1986 to 1997, the atmospheric CH4 increased by 185 ppbv, 37％ and 21％ of which were due to the increase in winter and in summer, respectively. After 1993, the annually seasonal increasing rate of CH4 concentration in summer (due to emission from biogenic sources) is negative while the increasing rate in winter (due to emission from non-biogenic sources) is positive about 25 ppbv/a. As a result, the increase of CH4 emission from non-biogenic sources in winter is the major reason that caused theannually seasonal increasing rate from 1993 to 1997. The biogenic sources in Beijing are shrinking while the non-biogenic ones (such as fossil fuel combustion) are enlarging.     

Trend and seasonal variations of atmospheric CH_4 in Beijing

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国家级环境区划理论与方法初探

从全国范围环境区划的角度，阐述了环境区划的理论基础──环境地域分异理论和社会－经济－自然复合生态系统理论，探讨了环境区划的原则，提出了国家级环境区划的方法以及环境区划的等级体系标准与指标体系。     

水旱轮作土壤-小麦系统CO2排放及其影响因素

利用静态箱/气相色谱法对川中丘陵区水旱轮作区的小麦进行全生长季CO2排放观测.结果表明,(1)土壤-小麦系统的CO2排放通量存在着明显的日变化.凌晨400～600排放量最低,随着温度的升高,CO2的排放量逐渐增大,在午后100～300达到峰值.分析表明,气温和地表温度与土壤-小麦系统CO2排放通量之间存在显著的相关关系.(2)土壤-小麦系统CO2排放都有明显的季节变化.分析表明,小麦生物量和气温与土壤-小麦系统CO2排放季节变化之间存在显著的相关关系.(3)在小麦各个生育期中,CO2平均排放通量常规处理>无氮处理>空白>裸地.水旱轮作区小麦常规处理、无氮处理、空白点和裸地的CO2排放通量的平均值分别为574.51、362.23、239.91、129.47 mg/(m2·h).在小麦的各个生育期中,RH、RAR和RAS对土壤-小麦系统CO2排放的贡献率分别为20%、20%和60%.