一株染料脱色酵母菌的鉴定及脱色特性

从土壤中分离到一株活性艳红K-2BP脱色酵母菌株Y-63,根据其生理生化特征和26S rRNA基因序列相似性分析,鉴定为Pseudozyma rugulosa.该菌在16 h内对100 mg/L的活性艳红K-2BP脱色率为94%,其机理属于降解脱色.该染料脱色的最佳接种量(φ)应不低于5%,最适pH在4～9之间,(NH4)2SO4浓度(w)不低于0.1%,葡萄糖浓度(w)不低于0.2%.此外,该菌株对其它9种50 mg/L的染料(活性艳蓝X-BR、媒介漂蓝B、活性翠蓝KN-G、酸性媒介黄GG、媒介红S-80、依加仑蓝FBL 200%、弱酸艳红B、活性黑KN-B和活性红M-3BE)的脱色率在10%～96%之间.该研究表明酵母Y-63在染料废水的处理上具有较好的应用潜能.     

基于合作博弈论的感潮河网区污染物排放总量削减分配模型研究

在给定污染物削减目标的情况下,如何确定各排污区域的分配比例一直是污染物总量分配技术的核心问题,博弈论是解决这一问题的有效尝试。采用合作博弈论方法,以感潮河网区各排污区域为研究对象,充分考虑各区域的污染治理成本、排污策略与环境质量的相互影响,建立了在给定污染物总削减比例条件下各区域环境合作的博弈模型,计算了各种可能联盟的特征函数值,利用Shapley值法进行合作收益的公平分配。结合珠江三角洲西江-石岐河河网区3个区域的环境合作案例说明削减合作的可行性,在总削减比例为15%的约束下,3区域合作削减比例是20.77%、12.82%和12.99%,与合作前相比,3个区域合作后环境成本分别减少了11.83%、2.13%和2%。     

平原河网地区农村生活污染入河机制

以太滆运河流域前黄镇和雪堰镇为研究区,设计农村生活非点源污染调查问卷,采用随机抽样的方法,调查了39个行政村中85个自然村的农村生活污染情况。通过对问卷的统计分析得到了厕所使用类型的比例、化粪池中上清液和固体残渣的去向以及生活垃圾处置等信息。在对农村生活污染进行分类的基础上,估算出该地区农村生活污染入河系数为:CODCr,6.6%～13.3%;TN,18.1%～18.6%;TP,8.2%～12.5%。     

热带气旋影响下的电网应急案例框架构建研究

在我国电网防灾抗灾体系中,因风灾等自然灾害影响具有持续性,造成应急准备阶段对灾害演变过程认知不足而引发响应阶段抢修故障。热带气旋是导致电网破坏严重的自然灾害之一,近些年发生率高于以往同期。风灾是阶段变化的,情景又是动态演变的。针对热带气旋的影响,考虑其不同影响阶段构建应急案例,可在应急响应行动过程,有效准确的面对风灾特性而带来的抢修故障。提出电网风灾的案例框架构建方法,并结合风灾的特点进行框架分类,可有效应对灾害的不确定性从而增加案例可用度。同时对风灾案例库建设、抗台演习演练与实际应对三种目的下的案例进行属性约简,依热带气旋演变,将案例个体拆分化采取逐步多次检索生成可行预案,从而提高响应效率。     

Multi-level coordination of climate change adaptation: by national hierarchical steering or by regional network governance?

The institutional structure and public service delivery apparatus required to meet the future effects of climate change already exist in Norway. However, there are huge challenges in coordinating these institutions at different authority levels for climate change adaptation purposes. Based upon a broad case study, this article presents how local actors consider the multi-level coordination of different levels of government and policy sectors to function today, which are the mechanisms that are used and what are the coordination challenges that are identified. Based upon the challenges revealed, this article discusses how best can the government-level institutions be organised for better goal attainment. We argue here that the elected regional level in Norway – the counties – has a huge potential to act as a multi-level coordination actor.     

Fracture Characterization Using Borehole Radar: Numerical Modeling

Forward modeling of borehole radar data for a series of synthetic discrete-fracture network (DFN) models provides a conceptual framework for interpreting experimental field data at fractured rock sites. A finite-difference time-domain (FDTD) radar wave propagation model was developed for this purpose. Synthetic examples demonstrate the utility of single-hole reflection-mode and cross-hole transmission-mode borehole radar for (1) identification of fracture location and orientation, and (2) identification of fracture pore-fluid properties, which might change as a result of tracer tests or flooding exercises in support of resource development or site remediation. A two-dimensional, synthetic DFN was generated statistically based on hypothetical distributions of fracture length, orientation, aperture, permeability, and inter-connectivity. The DFN includes a zone of permeable fractures embedded within a network of lower-permeability fractures and a low-permeability rock matrix. We modeled the unconnected and non-permeable fractures as being filled with freshwater. To simulate tracer experiments, contaminant releases, or engineered-remediation processes, we considered alternately the inter-connected, permeable fractures to be filled with freshwater air, or saline water (tracer). Synthetic radar data sets for both single-hole reflection and cross-hole transmission modes were generated. The features in synthetic radargrams were then examined and compared to the DFN model to evaluate the likelihood of identifying fracture location, orientation, and pore fluid in field situations. This comparison demonstrates that (1) the replacement of freshwater with saline water in permeable fractures generally increases the amplitude of reflections from permeable, connected fractures; and (2) in general, radar reflection-mode data contains more information about fracture properties than transmission-mode data.     

RBF神经网络在土壤重金属污染评价中的应用

运用MATLAB软件的K均值聚类算法结合神经网络工具箱,通过建立RBF神经网络对郑汴路圃田—杏花营段路旁土壤进行了评价。结果表明,土壤重金属积累峰值污染峰值多出现在距路基50m范围以内,并随着距路基距离的增加,污染程度逐渐下降。风力因素和邻近铁路对路段两侧土壤重金属污染影响较大,且公路运营时间越早,对两侧土壤污染越严重。杏花营断面土壤质量以Ⅱ级为主,北侧断面土壤质量多为Ⅲ级。圃田断面各样点综合评价结果均为Ⅱ级,整体质量优于杏花营断面。RBF神经网络评价方法具有计算速度快,评价结果客观等优点。     

基于综合主成分及径向基网络的环境质量评价

运用综合主成分分析对监测数据进行处理,集成径向基函数人工神经网络(RBF-ANN),参考国家环境质量评价标准设定RBF的学习样本,从而构建区域环境质量综合评价模型,对安徽省合肥市新站综合开发试验区进行环境质量综合评价。实例分析结果表明,运用综合主成分法可以精准的统计出一个区域的环境综合数据,而且在matlab环境下运用RBF-ANN模型既可以准确,客观的评定环境质量的等级,又可以表现其环境污染的具体程度,能在同一评价等级内对不同环境质量的评价对象进行更加细微的污染程度的比较。结果表明,合肥市新站综合开发试验区环境综合质量介于轻度污染和中度污染的标准极限值之间,属于中度污染。     

基于因子-神经网络预测南渡江海口段水质状况

针对海南省南渡江日益严重的水污染现状,根据南渡江海口段2001年-2006年的监测资料,应用因子分析法找出影响水质的主要污染指标,建立了基于BP神经网络的主要污染指标预测模型,并对其进行训练检验,结果证明该模型预测精度满足要求,再利用训练、检验后的模型对近几年主要污染因子进行预测,发现了变化规律,最后提出南渡江污染防治措施。     

城市电磁环境建模及网络监测系统的构想

随着科技的发展和城市建设速度的加快,电磁污染的问题已经越来越受到各界的重视与关注。该文首先介绍了时域有限差分法的基本概念,并建立了基于时域有限差分法计算的数学模型,然后针对城市电磁环境的特点,从电磁污染产生的根源和电磁干扰的种类入手进行研究,对电磁污染的监测方式进行了讨论,在此基础上,给出了一种基于GPS定位技术和GPRS无线传输技术的城市电磁环境网络监测系统的构想,并对系统结构及其所实现的功能进行了讨论。