三峡小流域水体硝态氮含量变化特征及其影响因素研究

为了解三峡地区典型农业流域水体水质状况以及对流域各影响因素的响应,在2004年和2005年间,对三峡库区内长江一级支流曲溪的水体硝态氮含量进行了连续监测,利用划分子流域的方法,分析了该流域异质景观条件下溪流水硝态氮含量的变化特征.结果表明,该流域溪流水体中硝态氮含量变化在0.4～14.6 mg·L-1之间,且其含量冬季＞秋季＞夏季＞春季,年际之间也存在着一定的差异,随着农业活动对环境影响的日益加剧水体中硝态氮含量还有加大的趋势;在该流域内水体硝态氮含量与不同类型的土地利用之间存在不同程度的相关性;而且流域内地质水文特征等环境因素对水体硝态氮含量有一定的影响,说明在流域尺度上水体硝态氮含量对影响因素的响应是明显的.     

太湖叶绿素a浓度时空分异及其定量反演

利用2005年实测叶绿素a浓度数据分析了太湖叶绿素a浓度的时空分布特征,并利用同步光谱数据,分季节对太湖叶绿素a浓度的反演模型进行研究,从而分析叶绿素a的时空变化对反演模型的影响.首先分析1a内叶绿素a浓度随时间的变化规律,然后利用反距离加权插值法绘制叶绿素a浓度不同季节空间分布图,分析叶绿素a浓度在不同季节的空间分布规律,在此基础上分春、夏、秋3个季节和中营养化、轻度富营养化、中度富营养化、重度富营养化4个营养状态进行叶绿素a浓度定量反演模型研究.结果表明,太湖叶绿素a浓度具有明显的时空分布特征.夏季叶绿素a浓度最高,冬季最低,平均浓度分别为56.29μg/L、13.61 μg/L.秋季由于受到夏季高浓度的影响,叶绿素a浓度高于春季,平均值分别为26.43μg/L、34.78μg/L;夏季叶绿素a浓度空间变化最大,冬季全湖叶绿素a浓度含量较为均一,空间变化不明显,秋季空间差异要大于春季;全年北部湖区的空间差异较大,而南部湖区相对较小.不同季节叶绿素a反演算法模型不同,春、秋季波段比值法反演效果较好;而夏季微分法反演效果明显好于其它反演算法,不同营养状态条件下反演算法差异相对较小.     

厦门市秋冬季节大气汞污染调查

文章采用两次金汞齐一冷原子荧光光谱法对厦门地区秋冬季节大气汞的污染状况作了初步调查分析,结果表明厦门地区大气中汞的浓度平均为11．037ng／m^3,其含量高于北半球大气气态总汞含量的背景值（1．5-2．0ng／m^3）,表明该地区已受到一定程度的大气汞污染;在一定的采样区域,大气汞浓度与温度、太阳辐射量、大气压、空气湿度成正相关,与风速成负相关;气态汞的含量在80％左右,这与该地区的人为活动多有关,与其他地区报道的类似区域情况的汞污染状况相符;工业区,学校实验室周边区域,生产过程中以汞为原料的工厂等附近区域,大气中汞的含量较高,开阔区域的海边含量较低,交通繁忙区域最低（所选采样点与交通要道有一定的距离）,这种浓度分布说明了大气中汞的存在具有区域性特征。     

河北海域荧光法测定叶绿素含量周年季节分层分布

2006～2007年春夏秋冬在河北海域进行了四个航次分层叶绿素a调查,结果表明:春季(4月),全海域表层叶绿素a平均值为0.65 mg/m~3(0.12～2.69 mg/m~3),中层为1.02 mg/m~3(0.08～3.47 mg/m~3),底层为1.03 mg/m~3(0.12～5.05 mg/m~3);夏季(7月),全海域表层叶绿素a平均值为3.45 mg/m~3(0.63～11.28 mg/m~3),中层为3.40 mg/m~3(0.88～11.50 mg/m~3),底层为3.37 mg/m~3(1.00～11.39 mg/m~3);秋季(10月),全海域表层叶绿素a平均值为5.83 mg/m~3(1.80～13.50 mg/m~3),中层为4.54± 3.33 mg/m~3(1.60～12.80 mg/m~3),底层为5.40 mg/m~3 (2.50～12.70 mg/m~3);冬季(11月),全海域表层叶绿素a平均值为1.21 mg/m~3 (0.47～7.79 mg/m~3),中层为0.79 mg/m~3 (0.47～1.41 mg/m~3),底层为0.86 mg/m~3(0.39～1.93 mg/m~3).总体趋势是春季唐山外部海域叶绿素a浓度较高,夏季秦皇岛和黄骅近岸海域叶绿素a浓度较高,秋季秦皇岛近岸海域叶绿素a浓度较高,冬季唐山近岸海域叶绿素a浓度较高.     

基于多源同步数据的闽江下游悬浮物定量遥感

利用2006-09-18的同步Landsat TM数据、水面实测光谱数据和现场水样数据,研究了闽江下游的悬浮物,在这3种同步数据的基础上建立了分别基于实测光谱与影像光谱的悬浮物遥感预测模型.结果表明,实测光谱数据在690nm波长处,归一化光谱反射率与悬浮物浓度达到最大正相关,由690nm和530nm二处的反射率构成的比值预测模型与实测悬浮物浓度的拟合精度最高,最佳拟合模型可表达为SS=116.2(R690/R530)-33.4.TM影像各波段中以(TM2 TM3)2波段组合与实测悬浮物浓度的相关性最佳.由其所建立的影像光谱预测模型与实测悬浮物浓度的拟合精度最高.最佳拟合模型可表达为SS=3793.7(RTM3 RTM2)2-16.5.模型的精度评价表明,实测光谱模型的预测能力要强于影像光谱模型.但二者差异不大.在缺乏地面实测光谱数据时.基于影像光谱的遥感定量模型仍不失为一种预测悬浮物浓度的有效方法,其对闽江下游悬浮物浓度的反演结果能较准确地反映出该区域悬浮物浓度分布的空间差异,具有较高的实用性.     

桑沟湾养殖水域表层沉积物对磷酸盐的吸附特征

在室内模拟扰动条件下,研究了桑沟湾养殖水域表层沉积物对磷酸盐的吸附动力学及其吸附等温线,探讨了磷酸盐的吸附-解吸平衡质量浓度以及沉积物的源汇角色.结果表明,沉积物对磷酸盐的吸附主要发生在0～0.5 h,吸附平衡时间约为6 h,吸附动力学方程符合修正的Elovich模型,回归方程为： Q =85.536+35.512 ln t （r²=0.960 2）;低浓度条件下沉积物对磷酸盐的吸附等温线呈线性,线性方程为： Q =265.04 c _e-7.46（ Ｒ ²=0.965）,高浓度条件下沉积物对磷酸盐的吸附等温线符合Langmuir模型（ Ｒ ²=0.989）;沉积物中本底吸附态磷为7.46 μg/g,对磷的最大吸附量 Ｑ _max为769.23 μg/g;沉积物对磷酸盐的吸附-解吸平衡质量浓度EPC₀为0.028 mg/L,结合该区域水体磷酸盐含量情况,初步推断该区域的沉积物大多数时间充当的是磷源的角色.     

进水氨氮浓度对好氧颗粒污泥的影响研究

在颗粒化SBR反应器中,研究了进水氨氮浓度对好氧颗粒污泥的影响.结果表明,进水氨氮浓度的提高将刺激丝状菌的生长;当氨氮负荷达到0.80 kg/(m³·d)时,颗粒开始明显解体,大量污泥流失;但氨氮负荷过低［0.0 kg/(m³·d)］,好氧颗粒污泥同样不能正常的形成.同时,氨氮负荷的提高,会出现颗粒污泥结构松散,粒径增大,沉降速度减小,颗粒化率下降以及生物量降低等现象.反应器对有机污染物和TP的平均去除效率分别为90%和70%,进水氨氮浓度的提高对其影响不大;但高氨氮负荷能抑制硝化菌和反硝化菌的活性,当进水氨氮负荷由0.48 kg/(m³·d)提高到0.80 kg/(m³·d)时,反应器对氨氮和总氮的去除率分别由90%和80%下降到70%和50%.     

Effects of elevated CO2 concentration and nitrogen supply on biomass and active carbon of freshwater marsh after two growing seasons in Sanjiang Plain, Northeast China

An experiments were carried out with treatments differing in nitrogen supply (0, 5 and 15 g N/m²) and CO₂ levels (350 and 700 μmol/mol) using OTC (open top chamber) equipment to investigate the biomass of Calamagrostis angustifolia and soil active carbon contents after two years. The results showed that elevated CO₂ concentration increased the biomass of C. angustifolia and the magnitude of response varied with each growth period. Elevated CO₂ concentration has increased aboveground biomass by 16.7% and 17.6% during the jointing and heading periods and only 3.5% and 9.4% during dough and maturity periods. The increases in belowground biomass due to CO₂ elevation was 26.5%, 34.0% and 28.7% during the heading, dough and maturity periods, respectively. The responses of biomass to enhanced CO₂ concentrations are differed in N levels. Both the increase of aboveground biomass and belowground biomass were greater under high level of N supply (15 g N/m²). Elevated CO₂ concentration also increased the allocation of biomass and carbon in root. Under elevated CO₂ concentration, the average values of active carbon tended to increase. The increases of soil active soil contents followed the sequence of microbial biomass carbon (10.6%) > dissolved organic carbon (7.5%) > labile oxidable carbon (6.6%) > carbohydrate carbon (4.1%). Stepwise regressions indicated there were significant correlations between the soil active carbon contents and plant biomass. Particularly, microbial biomass carbon, labile oxidable carbon and carbohydrate carbon were found to be correlated with belowground biomass, while dissolved organic carbon has correlation with aboveground biomass. Therefore, increased biomass was regarded as the main driving force for the increase in soil active organic carbon under elevated CO₂ concentration.     

Effects of elevated CO2 concentration and nitrogen supply on biomass and active carbon of freshwater marsh after two growing seasons in Sanjiang Plain, Northeast China

An experiments were carried out with treatments di ering in nitrogen supply (0, 5 and 15 g N/m2) and CO2 levels (350 and 700 mol/mol) using OTC (open top chamber) equipment to investigate the biomass of Calamagrostis angustifolia and soil active carbon contents after two years. The results showed that elevated CO2 concentration increased the biomass of C. angustifolia and the magnitude of response varied with each growth period. Elevated CO2 concentration has increased aboveground biomass by 16.7% and 17.6% during the jointing and heading periods and only 3.5% and 9.4% during dough and maturity periods. The increases in belowground biomass due to CO2 elevation was 26.5%, 34.0% and 28.7% during the heading, dough and maturity periods, respectively. The responses of biomass to enhanced CO2 concentrations are di ered in N levels. Both the increase of aboveground biomass and belowground biomass were greater under high level of N supply (15 g N/m2). Elevated CO2 concentration also increased the allocation of biomass and carbon in root. Under elevated CO2 concentration, the average values of active carbon tended to increase. The increases of soil active soil contents followed the sequence of microbial biomass carbon (10.6%) > dissolved organic carbon (7.5%) > labile oxidable carbon (6.6%) > carbohydrate carbon (4.1%). Stepwise regressions indicated there were significant correlations between the soil active carbon contents and plant biomass. Particularly, microbial biomass carbon, labile oxidable carbon and carbohydrate carbon were found to be correlated with belowground biomass, while dissolved organic carbon has correlation with aboveground biomass. Therefore, increased biomass was regarded as the main driving force for the increase in soil active organic carbon under elevated CO2 concentration.     

BAF法处理高浓度含盐炼油污水

阐述了BAF法处理高浓度含盐炼油污水的原理和启动运行过程,分析了运行中出现的问题,并提出改进建议。