怀念逝去的小生命

在你甜甜的睡梦中 有没有你漂亮的玩具？ 在大地抖动的瞬间, 你是否感觉在摇篮里？     

细水雾灭火剂在商用厨房中的应用研究

商用厨房火灾的最主要原因是油锅的持续高温引发食用油自燃起火,食用油极易复燃的火灾行为大大增加了其扑救难度,通过实验表明,细水雾灭火剂极强的冷却作用能够有效扑救食用油火灾.     

Responses of alkaline phosphatase activity to wind-driven waves in a large, shallow lake: Implications for phosphorus availability and algal blooms

Phosphorus is a vital nutrient for algal growth, thus, a better understanding of phosphorus availability is essential to mitigate harmful algal blooms in lakes. Wind waves are a ubiquitous characteristic of lake ecosystems. However, its effects on the cycling of organic phosphorus and its usage by phytoplankton remain poorly elucidated in shallow eutrophic lakes. A mesocosm experiment was carried out to investigate the responses of alkaline phosphatase activity fractions to wind waves in large, shallow, eutrophic Lake Taihu. Results showed that wind-driven waves induced the release of alkaline phosphatase and phosphorus from the sediment, and dramatically enhanced phytoplanktonic alkaline phosphatase activity. However, compared to the calm conditions, bacterial and dissolved alkaline phosphatase activity decreased in wind-wave conditions. Consistently, the gene copies of Microcystis phoX increased but bacterial phoX decreased under wind-wave conditions. The ecological effects of these waves on phosphorus and phytoplankton likely accelerated the biogeochemical cycling of phosphorus and promoted phytoplankton production in Lake Taihu. This study provides an improved current understanding of phosphorus availability and the phosphorus strategies of plankton in shallow, eutrophic lakes.     

典型木材燃料层流扩散火焰碳黑生成特性研究

为了对木材燃料层流扩散火焰碳黑生成特性进行研究,搭建了基于消光法原理的轴对称层流火焰碳黑浓度测量平台,选用马尾松针、柚木以及红橡木三种典型木材燃料粉碎成针状试样,并堆成直径3.5 cm堆垛,利用酒精引燃后可获得稳定的层流扩散火焰,同时通过电热丝辅助加热延长稳定燃烧。通过对三种典型木材燃料层流燃烧过程的质量损失和火焰碳黑浓度的测量和对比分析,结果显示三种燃料中马尾松针碳黑生成能力最大,这说明木材的碳黑生成能力可能与其碳元素和氧元素的含量有关。     

醇胺溶液吸收与解吸CO2的研究

在温度333K、常压条件下,在羟乙基乙二胺(AEE)总量一定的溶液中,研究了不同浓度AEE对CO2的吸收性能;在总胺质量分数为40%的溶液中,研究了不同配比的AEE N-甲基二乙醇胺(MDEA)对CO2的吸收性能.考察了吸收过程中吸收速率、吸收量、吸收时间、AEE浓度以及吸收液温度的相互关系.控制解吸过程温度为393K,考察了CO2解吸量与解吸时间的关系.实验表明,适当降低AEE浓度有利于充分发挥AEE溶液的CO2吸收性能;在MDEA溶液中加入适量AEE,可以明显提高CO2的吸收与解吸性能;其中质量分数为20?E 20%MDEA的复合溶液在CO2吸收与解吸过程中表现出良好的实际操作性.     

三种气液混合泵气浮系统处理低浓度二级出水的对比研究

以低浓度的二级出水为处理对象,利用小试装置,以COD、TP和浊度为考察指标,对使用气液混合泵溶气的全溶气、部分溶气和回流加压溶气气浮系统进行了对比研究.结果表明,回流加压溶气气浮系统对3个指标的去除率明显高于全溶气和部分溶气气浮系统,而部分溶气气浮系统对COD、TP的去除率略高于全溶气气浮系统;二级出水浊度较低时,全溶气和部分溶气气浮系统的出水浊度反而升高,因此使用气液混合泵溶气的全溶气和部分溶气气浮系统不适合处理低浊度的二级出水.     

不同加碱量下爆破制浆的源强试验研究

为了解爆破制浆的排污情况和废水处理的可行性,以烧碱和石灰作投加药剂,进行了不同加碱量条件下爆破制浆产生源强的试验研究,以确定最佳的加碱量和适宜的黑液提取率.研究表明,在加碱量相同的情况下,采用常规爆破浆样,浆样性能较好;在保持吨粗干浆产生的COD一致时,投加价格低廉的石灰,既能降低生产成本,又便于后续的废水处理;工程调试运行结果表明,控制吨粗干浆的石灰投加量为25～30 kg时,黑液提取率超过80%,最终出水COD<100 mg/L.     

二次热解吸-气相色谱-质谱分析室内挥发性有机化合物

采用二次热解吸-气相色谱.质谱法对室内空气进行了定量和定性分析,共检出挥发性有机物245种,包括烷烃、烯烃、芳香类化合物、卤代烃、醇、醛、酮、酯、醚等化合物,住宅类室内空气中挥发性有机化合物浓度平均值明显高于办公类室内这些物质的浓度平均值,对室内空气样品分析中的特例进行了可能的污染源解析,推测室内过量使用液体胶粘剂有可能是引起污染物严重超标的原因之一.     

Decolorization of cationic red X-GRL by wet air oxidation: performance optimization and degradation mechanism

The decolorization of a strong colored azo dye solution of cationic red X-GRL was investigated by wet air oxidation under relatively mild conditions (60-180 degrees C, PO2 = 0-1.2 MPa). Mono-factor experiments were carried out to investigate the effect of the operation factors and the relatively important parameters were selected for optimization using response surface methodology to explore the interactions of these relatively important parameters. Model regeneration analysis and the check experiments showed that the data of the general linear model agreed with the experiment results well. With multistage Monte-Carlo optimization, the best region of these variables could be predicted to dye color removal. At typical operational conditions, the intermediates of dye degradation were detected and confirmed by GC/MS system. Considering the intermediates and the structure analysis with the help of Gaussian 03W (version 6.0) and the theory of dye color, a possible degradation mechanism for the wet air oxidation of cationic red X-GRL was discussed and the probable degradation pathway was deduced.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.