深圳市清水河垃圾焚烧厂周围地区优势植物的汞污染研究

为研究垃圾焚烧厂对周围植物的汞污染状况,分析了深圳市清水河垃圾焚烧厂周围优势植物茎叶以及土壤的总汞浓度.结果表明,该垃圾焚烧厂周围的优势植物均受到一定程度的汞污染,叶总汞浓度为0.0309~0.2467 mg.kg-1,平均值为0.0948 mg.kg-1,所选择的6种优势植物叶总汞的浓度:台湾相思豺皮樟马占相思大叶相思木荷梅叶冬青;茎总汞浓度为0.0074~0.1196 mg.kg-1,平均值为0.0417 mg.kg-1.同种植物茎叶总汞浓度呈显著正相关,而植物茎叶的总汞浓度与土壤总汞浓度并无显著相关性;在该垃圾焚烧厂主导风向的下风向,距污染源的距离和地形差异共同对烟气扩散浓度产生影响,而植物茎叶总汞浓度变化则与烟气扩散浓度的空间分异格局基本吻合.上述结果充分证明,本研究区内烟气-叶的交互作用在植物与环境的汞交换中占据主导地位.     

膜生物反应器亚硝化性能的影响因素研究

利用膜生物反应器成功启动了亚硝化工艺处理人工合成废水.为了确定影响亚硝化工艺效果的因素,先后对温度和溶解氧浓度进行了研究,结果表明,在温度35℃并且NH4+-N负荷平均0.45 kg.(m3.d)-1和溶解氧0.5 mg/L的条件下,可使出水中NO3--N的浓度低于20 mg.L-1,而ρ(NO2--N)∶ρ(NH4+-N)接近1.0.同时发现反应器运行期间,在低溶解氧的情况下,膜组件的污染并不严重.荧光原位杂交分析发现,在膜生物反应器中氨氧化菌成为优势菌种,亚硝酸盐氧化菌的活性受到了抑制.微生物群落分析则进一步提供了实现亚硝化工艺所必需的生物信息.     

青藏高原典型高寒草甸区土壤有机碳氮的变异特性

本研究应用地统计学的基本原理与方法(半方差分析)对青藏高原典型高寒草甸区0～10 cm土壤有机碳和全氮空间变异性进行了分析.结果表明,0～10 cm的土壤有机碳和全氮的平均含量分别为11.45 g·kg^-1和1.02 g·kg^-1,平均变异系数分别为0.23和0.21,反映出该植被区土壤肥力较为贫瘠.土壤有机碳和全氮随机因素的变异占总空间异质性变异的比率分别为44.7%和49.9%,变异尺度分别为210.9 m和200.1 m,随机因素的影响主要发生在采样尺度＜10 m的范围之内.在该研究区域上土壤有机碳和全氮均表现出空间自相关因素大于随机因素的变异格局;在空间结构的变异上,由土壤内在属性如土壤矿物质、地形等空间自相关因素和人为因素如放牧及工程施工等对土壤表层的践踏引起的随机因素共同起作用,影响程度呈中等水平.     

基于GIS与群落调查的北京市野生北柴胡资源量测算

以2007年北京市地全区236个群落调查样方数据和典型区域300株野生北柴胡采样数据为基础,采用模型模拟、样方调查、GIS与数理统计等方法,对野生北柴胡分布与资源产量进行研究。结果表明：①北京市野生北柴胡在植物群落中的种群密度介于0～6000株/hm²之间,产量密度范围介于0～683kg/km²之间,密度最大的生境为海拔1 800m左右的山顶杂草草甸;②不同生境下根生物量（Y）与植株地上形态特征株高（x₁）,叶片数（x₂）和分枝数（x₃）显著相关;③北京地区北柴胡资源分布面积为752 937hm²,资源总量约为410t;④北京市野生北柴胡资源的水平分布特征表现为,东部怀柔、密云和平谷等地产量密度低,西部和中部地区密度较高,从垂直变化规律看,北柴胡分布的主要区域集中在海拔100～2 000m的范围内,随着海拔高度的增加,产量密度表现出先增加后减少的总体趋势。     

GIS技术在化学事故应急指挥系统中的应用研究

以地理信息系统（简称GIS）的技术特点为基础,结合应急指挥系统中的功能需求,探讨化学事故应急指挥系统GIS平台能够实现的功能,以及为实现这些功能而构建的数据库的建设。将GIS技术应用在化学事故应急指挥系统中,能够迅速、直观地了解事故装置和设备情况,获得有关信息,进行事故模拟。对提高事故处理速度,缩短反应时间,减少事故损失具有重要意义。     

油库中油品的蒸发危害及措施

分析了造成油库油品蒸发损耗的原因及危害,并针对油罐的自然通风、“小呼吸”、“大呼吸”所造成的油品损耗,提出了降低油品蒸发损耗的措施。     

Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations

Worldwide studies show 80%–90% of all sediments eroded from watersheds is trapped within river networks such as reservoirs, ponds, and wetlands. To represent the impact of impoundments on sediment routing in watershed modeling, Soil and Water Assessment Tool (SWAT) developers recommend to model reservoirs, ponds, and wetlands using impoundment tools (ITs). This study evaluates performance of SWAT ITs in the modeling of a small, agricultural watershed dominated by lakes and wetlands. The study demonstrates how to incorporate impoundments into the SWAT model, and discusses and evaluates involved parameters. The study then recommends an appropriate calibration sequence, i.e., landscape parameters calibration, followed by pond/wetlands calibration, then channel parameter calibrations, and lastly, reservoir parameter calibration. Results of this study demonstrate not following SWAT recommendation regarding modeling water land use as an impoundment depreciates SWAT performance, and may lead to misplaced calibration efforts and model over‐calibration. Further, the chosen method to model impoundments’ outflow significantly impacts sediment loads in the watershed, while streamflow simulation is not very sensitive. This study also allowed calculation of mass accumulation rates in modeled impoundments where the annual mass accumulation rate in wetlands (2.3 T/ha/yr) was 39% higher than mass accumulation rate in reservoirs (1.4 T/ha/yr).     

Study of nitrogen oxide absorption in the calcium sulfite slurry

Experiments were conducted using a bubbling reactor to investigate nitrogen oxide absorption in the calcium sulfite slurry. The effects of CaSO₃ concentration, NO₂/NO mole ratio and O₂ concentrations on NO₂ and SO₂ absorption efficiencies were investigated. Five types of additives, including MgSO₄, Na₂SO₄, FeSO₄, MgSO₄/Na₂SO₄ and FeSO₄/Na₂SO₄, had been evaluated for enhancing NO₂ absorption in CaSO₃ slurry. Results showed that CaSO₃ concentration had significant impact on NO₂ and SO₂ absorption efficiencies, and the highest absorption efficiencies of SO₂ and NO₂ could reach about 99.5 and 75.0 %, respectively. Furthermore, the NO₂ absorption was closely related to the NO₂/NO mole ratio, and the existence of NO₂ in flue gas may promote NO absorption. The presence of O₂ in simulated flue gas was disadvantage for NO _x removal because it can oxidize sulfite to sulfate. It was worth pointing out that FeSO₄/Na₂SO₄ was the best additive among those investigated additives, as the NO₂ removal efficiency was significantly increased from 74.8 to 95.0 %. IC and in situ FTIR results suggest that the main products were NO₃ ^? and NO₂ ^? in liquid phase and N₂O, N₂O₅ and HNO₃ in gas phase during the CaSO₃ absorption process.     

An empirical examination of personal learning within the context of teams

Using a sample of 588 employees in 59 work teams, we tested a model that situates personal learning within the context of teams, viewing it as a joint function of teams' leadership climate (i.e., transformational leadership) and task characteristics (i.e., task routineness and task interdependence). Consistent with our hypotheses, we found that the positive relationships between transformational leadership climate and the two dimensions of personal learning (relational job learning and personal skill development) were moderated by the nature of the teams' tasks. Specifically, transformational leadership climate was more strongly associated with personal learning for members of teams working on tasks that were less routine, rather than more routine. However, no significant moderation was found for leadership climate and task interdependence. Our findings underscore the importance of taking into account the contextual conditions within which leadership influence occurs while also demonstrating the potential role that leaders can play in promoting employees' personal learning. Overall, our study bolsters theories that conceptualize adult learning as a transaction between people and their social environments and points to a practical need to match leadership styles with team task characteristics to unleash transformational leadership effects. Copyright © 2015 John Wiley & Sons, Ltd.     

太子河流域硅藻群落与驱动因子的定量关系

定量研究水生生物对水环境参数的适宜值是评估栖息地质量和维持生物完整性的主要途径. 以辽宁省太子河流域为研究范例,选择Y(优势度指数)大于0.000 1的硅藻为研究对象,结合水环境参数,采用CCA(典范对应分析)、CART(分类回归树)和WA(加权平均回归分析)等方法,分析硅藻与水环境因子的关系,并计算硅藻对驱动因子的最适值. CCA结果表明,IOS(底质指数)、ρ(TDS)(TDS为总溶解固体)和ρ(COD_Mn)是硅藻群落的驱动因子;CART预测结果表明,IOS高的水环境硅藻密度高于IOS低的水环境,ρ(TDS)和ρ(COD_Mn)低的水环境硅藻密度高于ρ(TDS)和ρ(COD_Mn)高的水环境;WA结果显示,96种硅藻对IOS、ρ(TDS)和ρ(COD_Mn)的最适值范围分别为1.00~6.44、60.29~820.30 mg/L和0.46~2.89 mg/L. 钝端菱形藻解剖刀变种和尖端菱形藻适宜栖息于IOS较低而ρ(COD_Mn)较高的水环境, Gomphonema trancatum和肿大桥弯藻则适宜栖息于IOS较高的水环境;缠结异极藻二叉变种和尖细异极藻适宜栖息于ρ(TDS)较高的水环境,弧形峨眉藻和克洛钝脆杆藻则适宜栖息于ρ(TDS)较低的水环境;弧形峨眉藻和隐头舟形藻威蓝变种适宜栖息于ρ(COD_Mn)较低的水环境. 针杆藻和桥弯藻对IOS的最适值高于舟形藻和菱形藻以及其他藻种,96种硅藻对ρ(TDS)和ρ(COD_Mn)的最适值均表现为菱形藻和异极藻较高、针杆藻和桥弯藻较低.