响应面方法优化光催化降解抗生素类污染物过程研究

近年来抗生素类污染物对环境的影响及其生态毒性日益引起广大研究者的关注。对TiO2光催化降解典型抗生素类污染物磺胺二甲嘧啶（SMT）进行了研究。采用中心组合设计方法（CCD）进行试验设计,使用响应面方法（RSM）对光催化过程中的影响因素（TiO2浓度、初始磺胺二甲嘧啶浓度、双氧水浓度）进行了探讨和分析,并对反应过程进行了优化。优化结果表明,最佳反应条件为：TiO2浓度1.74 g/L、初始磺胺二甲嘧啶浓度20.0 mg/L、双氧水浓度106.28 mg/L,在优化条件下的磺胺二甲嘧啶光催化实际去除率为83.6%。响应面方法能够优化光催化条件,预测光催化结果,有利于优化光反应器的设计,对于工程化光催化水处理技术的发展具有一定的参考价值。     

Using the nematode Caenorhabditis elegans as a model animal for assessing the toxicity induced by microcystin-LR

Among more than 75 variants of microcystin(MC),microcystin-LR(MC-LR) is one of the most common toxins.In this study,the feasibility of using Caenorhabditis elegans to evaluate MC-LR toxicity was studied.C.elegans was treated with MC-LR at different concentrations ranging from 0.1 to 80 μg/L.The results showed that MC-LR could reduce lifespan,delay development,lengthen generation time,decrease brood size,suppress locomotion behavior,and decreases hsp-16-2-gfp expression.The endpoints of generation time,brood...     

羊草草原碳循环过程的模拟与验证

根据内蒙古典型羊草草原碳通量和生物量观测数据,验证VIP(Vegetation Interface Proces-ses)模型,并模拟分析1958—2007年该生态系统碳循环特征及其与环境因子的相关关系。结果显示:VIP模型能够较准确地模拟地上生物量(R2=0.70)和净生态系统生产力NEP(R2=0.57)的变化趋势。羊草草原生态系统总初级生产力(GPP)、净初级生产力(NPP)和生态系统呼吸(Re)在1958—1973年间下降,1973—1993年间增长,1993年后又出现下降的趋势。与环境因子的相关性分析表明,GPP、NPP和Re随CO2和降水的增多而增大,随温度升高和降水的减少而降低,其中降水量与碳通量相关性最高,呼吸与温度、降水、CO2均存在一定程度的正相关关系。NEP年际变化较大,主要受控于年降水量,以228 mm为界,年降水量大于此值时,NEP为正的概率较大。     

Sugar receptor response of the food-canal taste sensilla in a nectar-feeding swallowtail butterfly, Papilio xuthus

The feeding behavior in nectar-feeding insects is triggered by a sugar-receptor response in contact chemosensilla. The contact chemosensilla are distributed not only on tarsi and the outside of the proboscis but also on the inside of the food canal in Lepidoptera. Although the chemosensilla inside the food canal are assumed to detect sweet taste during the passage of nectar through the food canal, their electrophysiological function has received little attention. In the nectar-feeding Asian swallowtail butterfly, Papilio xuthus (Lepidoptera: Papilionidae), we found 15- to 30-μm-long sensilla neatly lined up along the inside galea wall, which forms the food canal in the proboscis. The receptor neurons of these sensilla responded to sucrose. We hypothesized that starch and sucrose compete with each other for a taste receptor site on the sensilla. When we added starch and sucrose to the food-canal sensilla, the electrophysiological responses of food-canal sensilla were inhibited in parallel with the food-sucking behavior of the butterflies. These results suggest that the food-canal sensilla are involved in the behavioral control of nectar-sucking in this butterfly species.     

基于响应面优化条件下柚皮对Pb2+的吸附

采用Plackett-Burman(P-B)法和中心复合设计(Central Composite Design,简称CCD)对影响柚皮吸附Pb2+的6个条件进行筛选优化.P-B实验设计与统计学分析表明:pH值、Pb2+初始浓度、吸附剂用量是影响吸附率的3个关键因素.以吸附率为响应目标,对3因素进行中心复合设计,并经响应面法优化分析得到影响吸附率的二阶模型,确定了Pb2+吸附实验的最优操作条件:pH值5.4.Pb2+初始浓度为265.86mg·L-1,吸附剂用量为2.56 g·L-1,实测吸附率达到92.47%,吸附量为96.01 mg·g-1;整个吸附过程吸附剂柚皮没有经过任何化学预处理.效果优于一般的天然吸附剂.研究结果表明,柚皮是一种很具潜力的环保型廉价吸附剂.     

潮滩沉积物重金属污染的色度反演方法初探

为了探求快速评估土壤重金属污染的方法,以崇明岛东滩低、中、高潮滩沉积物为研究对象,用色度仪测量其色度参数(明度L*、红度a*、黄度b*),并对照化学分析数据,初步探讨了潮滩沉积物的色度特征与重金属元素(Cu、Cr、 Pb、Zn、Mn、Fe )含量之间的相关关系.同时,运用回归分析分别建立了重金属元素含量与色度参数（明度L*、红度a*、黄度b*）之间的定量关系模型,并对模型进行验证.结果表明,在崇明岛低、中、高潮滩的沉积物中,Cu、Pb、Zn与L*之间负相关,相关系数最高可达rCu=-0.97、 rPb= -0.88、 rZn=-0.98;Cu、Pb、Zn与a*之间正相关;而Cr与a*之间负相关.在河口水体中重金属含量稳定的条件下,色度信息可以定量地反演潮滩沉积物重金属元素的含量,为大范围的潮滩重金属污染研究提供了一项实用有效的辅助手段.     

加氢站用45 MPa高压储氢瓶式容器火烧试验模拟*

为研究加氢站用高压储氢容器在火灾下的安全性能,采用计算流体力学（CFD）方法对45 MPa高压储氢瓶式容器火烧试验过程进行模拟研究,结合气瓶火烧试验,分析高压储氢容器火灾下的热响应过程,研究不同因素对储氢容器压力泄放装置动作时间的影响。结果表明:613 s以内试验压力与模拟数据的最大相对误差为3.9%,模型误差在可接受范围;不同充装介质对安全泄放装置动作时间影响不大;不同充装压力对容器内介质压升速率影响较大,充装水平较高时压力泄放装置更快动作,较低的充装压力下容器内介质温升较快;不同环境温度对介质温升影响较小。     

Application of response surface methodology for the optimization of biodiesel production from yellow mustard (Sinapis alba L.) seed oil

In the present study, response surface methodology (RSM) involving central composite design (CCD) was applied to optimize the reaction parameters of biodiesel production from yellow mustard (Sinapis alba L.) seed oil during the single-step transesterification process. A total of 30 experiments were designed and performed to determine under the effects of variables on the biodiesel yield such as methanol to oil molar ratio (2:1–10:1), catalyst concentration (0.2–1.0 wt.% NaOH), reaction temperature (50–70°C), and reaction time (30–90 min). The second order polynomial model was used to predict the biodiesel yield and coefficient of determination (R²) was found to be at 0.9818. The optimum biodiesel yield was calculated as 96.695% from the model with the following reaction conditions: 7.41:1 of methanol to oil molar ratio, 0.63 wt. % NaOH of catalyst concentration, 61.84°C of reaction temperature, and 62.12 min of reaction time. It is seen that the regression model results were in agreement with the experimental data. The results showed that RSM is a suitable statistical technique for optimizing the reaction parameters in the transesterification process in order to maximize the biodiesel yield.     

Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype

Disasters evolving from hazards are a persistent and deadly occurrence in the United States. Despite this, hazard alerts have remained spatially vague, temporally imprecise, and lack actionable information. These deficiencies indicate a divide between the status quo and what is possible given modern environmental models, geographic information systems (GIS), and smartphone capabilities. This work describes an alternative, prototype system, “FloodHippo,” which integrates operational model outputs, cloud‐based GIS, and expanded communication channels to provide personal and interactive disaster alerts for floods. The precepts and methods underpinning FloodHippo apply equally to other disasters that evolve over space and time, presenting the opportunity for a more intelligent disaster response system. The development of such a system would not only minimize current shortcomings in disaster alerts but also improve resilience through individual action, along with community, academic, and federal cooperation.     

钱塘江突发水污染事故应急系统开发与应用

采用网络信息平台和水环境模型相结合的技术手段,构建了钱塘江突发水污染事故应急系统。该系统旨在帮助应急管理部门快速应对钱塘江流域突发性水污染事故,以及保障G20峰会期间钱塘江流域的饮用水源地安全。该系统以水动力模型、溢油和化学品泄漏模型为核心,采用空间关系型中央数据库作为数据管理系统,基于网络GIS技术开发而成。通过对钱塘江流域历史事故的反演,验证了该系统的准确度和可靠性。在该系统的基础上,构建了钱塘江流域典型流场库和典型突发水污染事故情景库,以实现快速应对G20峰会期间钱塘江流域突发水污染事故风险。