Soil warming effect on net ecosystem exchange of carbon dioxide during the transition from winter carbon source to spring carbon sink in a temperate urban lawn

The significant warming in urban environment caused by the combined effects of global warming and heat island has stimulated widely development of urban vegetations. However, it is less known of the climate feedback of urban lawn in warmed environment. Soil warming effect on net ecosystem exchange (NEE) of carbon dioxide during the transition period from winter to spring was investigated in a temperate urban lawn in Beijing, China. The NEE (negative for uptake) under soil warming treatment (temperature was about 5℃ higher than the ambient treatment as a control) was -0.71 μmol/(m².sec), the ecosytem was a CO₂ sink under soil warming treatment, the lawn ecosystem under the control was a CO₂ source (0.13 μmol/(m².sec)), indicating that the lawn ecosystem would provide a negative feedback to global warming. There was no significant effect of soil warming on nocturnal NEE (i.e., ecosystem respiration), although the soil temperature sensitivity (Q₁₀) of ecosystem respiration under soil warming treatment was 3.86, much lower than that in the control (7.03). The CO₂ uptake was significantly increased by soil warming treatment that was attributed to about 100% increase of α (apparent quantum yield) and A_max (maximum rate of photosynthesis). Our results indicated that the response of photosynthesis in urban lawn is much more sensitive to global warming than respiration in the transition period.     

稳定碳同位素示踪农林生态转换系统中土壤有机质的含量变化

为了观察生态系统的转变对土壤有机质的影响,在贵州茂兰喀斯特原始森林保护区内农林生态系统发生转变的地域,分析了土壤有机质含量和土壤有机质的δ¹³C值森林点土壤有机碳含量普遍较高(1.81%～16.00%),而农田点土壤有机碳含量在0.43%～2.22%之间,表明毁林造田加速了土壤有机质的降解,使土壤有机质总量减少;利用C₃植物与C₄植物δ¹³C值的显著差异,对比森林点与农田点的δ¹³C值(森林点:-23.86‰～-27.12‰;农田点:-19.66‰～-23.26‰),计算表明,毁林造田同时也降低了土壤有机质中活性大的组分的比例,使土壤肥力下降.     

Are servant leaders appreciated? An investigation of how relational attributions influence employee feelings of gratitude and prosocial behaviors

Multisource data collected at three time phases were used in investigating when servant leadership elicits gratitude and then promotes prosocial behaviors. We tested a moderated mediation model, contending that relational attributions moderate the relationship between servant leadership and gratitude, and then gratitude sequentially predicts interpersonal citizenship behaviors and upward voice. As hypothesized, when employees do not highly rely on relational attributions for servant leadership, they feel more gratitude and subsequently engage in more interpersonal citizenship behaviors and upward voice than the employees who rely on relational attributions to explain their interactions with the leader. The sequential indirect effect from servant leadership to upward voice via gratitude and then interpersonal citizenship behaviors was significant when relational attributions are low rather than high.     

Interactive effects of natural and human disturbances on vegetation dynamics across landscapes.

Accurate measures of human effects on landscape processes require consideration of both the direct impacts from human activities and the indirect consequences of the interactions between humans and the landscape. This is particularly evident in systems experiencing regular natural disturbances such as in the mountainous areas of southwestern China, where the remaining population of giant pandas (Ailuropoda melanoleuca) is supported. Here the spatiotemporal patterns of human impacts, forests, and bamboo episodic die-offs combine to determine the distribution of panda habitat. To study the complex interactions of humans and landscapes, we developed an integrated spatiotemporally explicit model of household activities, natural vegetation dynamics, and their impacts on panda habitat. Using this model we examined the direct consequences of local fuelwood collection and household creation on areas of critical giant panda habitat and the indirect impacts when coupled with vegetation dynamics. Through simulations, we found that over the next 30 years household impacts would result in the loss of up to 30% of the habitat relied on by pandas during past bamboo die-offs. The accumulation and spatial distribution of household impacts would also have a considerable indirect influence on the spatial distribution of understory bamboo. While human impacts influence both bamboo die-off and regeneration, over 19% of pre-existing low-elevation bamboo habitat may be lost following an episodic die-off depending on the severity of the impacts and timing of the die-offs. Our study showed not only the importance of the spatial distribution of direct household impacts on habitat, but also the far-reaching effects of the indirect interactions between humans and the landscapes they are modifying.     

铁屑微电解-共沉淀法处理屠宰场废水的研究

利用铁屑微电解-共沉淀法处理屠宰场废水,介绍其作用机理,考察了废水pH值、铁屑用量、反应时间、曝气时间和操作方式等因素对色度和CODCr去除率的影响.结果表明,在废水pH值为4,铁屑用量为15%,常温反应4 h,曝气时间2 h条件下,色度去除率可达100%,CODCr去除率达92.68%.     

基于Matlab的BP神经网络在大气污染物浓度预测中的应用

为了寻求有效控制和改善环境质量的相应措施,选用了英国伦敦Bloomsbury监测站的PM10小时平均浓度监测资料,采用“提前终止法”泛化改进的BP神经网络模型,预测PM1024 h内的小时平均浓度。结果表明：采用BP神经网络法对大气污染物浓度进行预测,预测相对误差在2%-48%之间,且绝大部分在2%-17%之间,预测精度较高,泛化能力较好,为大气污染物浓度预测提供了一种全新的思路和方法。     

烟气深度余热回收技术对燃气锅炉NOx排放扩散迁移规律的影响研究

运用Fluent计算软件对北京市丰台区某燃气锅炉排放烟气中NOx的转化和扩散过程进行了数值模拟,定量地研究了烟气深度余热回收技术对燃气锅炉排放NOx在大气中的迁移规律产生的影响,并与Screen 3模型模拟的结果进行了对比.研究发现:烟气深度余热回收技术的应用使NOx的最大落地浓度与烟气直排时相比增加了2.5倍,NOx对本地地表的影响面积增大了15750 m2,增加了本地环境污染的风险.结合燃气锅炉的NOx控制技术提出了缓解局部环境风险的解决方案.结果表明,烟气深度余热回收技术与低氮燃烧技术联用,NOx的控制效率达到70%以上时,在有效提升锅炉热效率的同时,可以缓解由于烟温大幅下降造成的本地环境污染恶化的风险.     

论环境移民

由于环境恶化,部分区域出现了一种特殊的人口迁移类型－环境移民。环境移民是人口增长与环境容量之间矛盾的必然结果。本文对环境移民的概念,要素和实持作了初步探讨,并艰广西移民的例子加以说明。     

序列间歇式活性污泥法处理毛纺厂废水的研究

采用序列间歇式活性污泥法处理毛纺厂废水。试验结果表明,经4h曝气处理,进水COD为190～650mg/L时,出水COD始终低于100mg/L,去除率大多在80％～90％之间,色度去除率大多在50％以上,出水COD和色度均达到行业排放标准。还对较低COD浓度下序列间歇式活性污泥法的COD降解过程进行了研究,推导出一级反应动力学关系式Sr＝So（1－10￣^-k1^t）,并以试验数据进行了拟合,求解出动力学常数k1和So。