长江（万州段）水体溶解性有机物的荧光光谱分析

按照河床形态、水文条件、排污口分布、支流状况等特点从长江万州段及长江支流苎溪河选取8个断面进行采样,对水样中溶解性有机物（DOM）的荧光光谱特征进行了分析和研究。利用日立F 4500荧光分光光度计对长江水、普通自来水和纯水在紫外光激励下产生的荧光光谱及其特性进行了比较研究。同时,研究了不同水样、不同取样点的水体DOM的荧光特性和三维荧光光谱图。结果表明：长江水在波长290 nm左右的紫外光激励下能产生较强的荧光。荧光峰是350~550 nm 范围的宽谱峰,荧光峰值波长在450 nm左右。但是不同取样点水样的荧光峰强度明显有差异,在4号、5号、2号取样点的水样荧光强度明显高于其他取样点,这与采样点附近污染源排放有明显的关系。该研究方法可作为鉴别水质污染的一种有效的手段.     

Performance of data acceptance criteria over 50 months from an automatic real-time environmental radiation surveillance network

The automatic real-time environmental radiation surveillance network of Catalonia (Spain) comprises two subnetworks; one with 9 aerosol monitors and the other with 8 Geiger monitors together with 2 water monitors located in the Ebre river. Since September 2006, several improvements were implemented in order to get better quality and quantity of data, allowing a more accurate data analysis. However, several causes (natural causes, equipment failure, artificial external causes and incidents in nuclear power plants) may produce radiological measured values mismatched with the own station background, whether spurious without significance or true radiological values. Thus, data analysis for a 50-month period was made and allowed to establish an easily implementable statistical criterion to find those values that require special attention. This criterion proved a very useful tool for creating a properly debugged database and to give a quick response to equipment failures or possible radiological incidents. This paper presents the results obtained from the criterion application, including the figures for the expected, raw and debugged data, percentages of missing data grouped by causes and radiological measurements from the networks. Finally, based on the discussed information, recommendations for the improvement of the network are identified to obtain better radiological information and analysis capabilities.     

长江上游月降水人工神经网络预测模型

长江上游月降水量预测对于三峡库区及整个长江流域水资源管理具有重要意义。根据长江上游不同气候区降水差异,选取玉树、九龙和宜宾3个代表性气象站点近60 a的月降水量数据,运用反向传播神经网络、径向基函数神经网络、广义回归神经网络和多元线性回归法,确定降水时滞和降水月份,建立月降水预测模型,来预测未来一个月的降水量,并采用均方误差和判定系数来验证和对比各种模型的模拟效果。结果显示：人工神经网络模型总体上优于多元线性回归,特别是反向传播神经网络的模拟结果各站表现较好,在确定合理的输入变量和网络结构后,可以尝试作为长江上游各站月降水预测模型。〖     

区域高速公路网络构建对可达性空间格局的影响——以安徽沿江地区为实证 

以安徽沿江为实证，采用加权平均旅行时间指标，分析了高速公路网构建对节点区内联系及区外联系可达性格局的影响，并以此为基础，综合分析了节点总体可达性格局的变动；随后对总体可达性的变动幅度及其相对可达性变动格局进行了探讨。结果表明：安徽沿江高速公路网络的构建显著提高了区域整体可达性，且促进了可达性的均衡化；区内联系可达性、区外联系可达性及总体可达性三者格局特征不同，路网构建所形成的影响也各有差别；东部及北部地区可达性变动幅度小于西南部地区；根据可达性系数的变化幅度及方向，可将节点归为相对可达性下降、相对可达性稳定及相对可达性上升3类。     

基于毕达哥拉斯模糊贝叶斯网络的海底管道泄漏风险分析*

为分析海底管道运行中存在的泄漏风险,提出1种基于毕达哥拉斯模糊数与贝叶斯网络的风险评估模型。首先,通过毕达哥拉斯模糊数转换专家定性评价,拓展专家意见模糊范围;然后,结合主客观组合赋权法,利用毕达哥拉斯梯形爱因斯坦混合几何算子（PTFEHG）实现专家意见的聚合;最后,通过贝叶斯网络的推理与敏感性分析,计算海底管道泄漏风险的失效概率,并辨识关键风险因素。研究结果表明:该方法可以结合专家意见对海底管道泄漏风险进行定量分析,并识别导致泄漏事故的关键风险因素,对海底管道安全管理具有指导意义。     

太湖流域上游河流污染空间分布特征研究

为把握太湖流域上游西北部河网区域水体的N、P污染特征及其空间分布,2010年8月在该区域内的武进港 直湖港水系、洮滆水系、丹扁孟河（丹金溧漕运河、扁担河及孟津河）以及宜溧河水系的河网,监测了39个河流断面的水质。研究表明,4水系TN平均浓度分别为388、283、291及193 mg/L,DTN占TN比重分别为9180%、7843%、7001%及8444%,河网氮输出均以DTN为主。在DTN中NO-3 N浓度所占比重分别为6747%、5275%、7748%及4281%,NH+4 N浓度所占比重分别为1633%、3316%、1127%及4351%。TP平均浓度分别为059、030、026及015 mg/L,DTP所占比重分别为6213%、4019%、4673%及3197%,而PO3-4 P浓度占DTP比重分别为2073%、5461%、4327%及7772%。武进港 直湖港水系N平均浓度显著（〖WTBX〗p〖WTBZ〗<001）高于宜溧河水系,与其它两水系无显著差异,P平均浓度显著（〖WTBX〗p〖WTBZ〗<005）高于宜溧河水系和丹扁孟河,与洮滆水系无显著差异。影响太湖流域上游西北部区域河流水网水质的主导因素为氮污染,而其中以DTN污染最为严重。太湖西北部是蓝藻水华暴发的重灾区,上游区域DTN的大量输入,将成为引发太湖水体生态系统灾变的潜在风险     

西北地区能源-环境-经济可持续发展预警研究——以陕西省为例

能源、环境与经济是人类社会生存与发展的物质基础,能源经济发展在带来区域经济快速繁荣的同时,往往造成当地社会生活质量的下降和生态环境的破坏。陕西作为我国21世纪重要的能源接续地,在能源开发利用的同时也受到脆弱生态环境的约束,本文以此为例进行可持续发展预警实证研究具有一定的代表性和现实意义。通过设计能源-环境-经济可持续发展预警指标体系,构建出可持续发展预警模型,采用人工神经网络预警方法和层次分析法,编写出计算运行程序,运用Matlab7.1软件中人工神经网络工具箱,将有关数据信息和预警模型有机结合,探讨能源-环境-经济可持续发展理论构建与应用问题。研究结果表明:陕西能源-环境-经济的可持续发展趋势在2000-2014年间分别处于重警、中警、轻警和无警四种状态,基本符合陕西能源产业发展现状;所设计的预警指标能较好地反映出能源-环境-经济可持续发展的特征;基于BP人工神经网络的预警方法具有较强的仿真能力,能提高可持续发展预警的准确性,在能源产业可持续发展预警研究中具有一定的应用价值。     

Towards an integrated framework for sustainable innovation

Sustainable innovation represents a current challenge for companies, as firms need to change the way they design, develop, produce and distribute products and services. Therefore, this paper proposes a new framework to be used as a reference guideline for organisations to define a roadmap, specific actions and projects to achieve sustainable innovation, integrating four key enablers. The first enabler is mass customisation (MC), which targets the identification and compliance with customers' specific needs and requirements in order to achieve customer‐driven design. At the same time, the sustainable development (SD) paradigm is taken into consideration, where for any new product or service, companies analyse the benefits, risks and impacts of not only economic factors, but also social and environmental implications. The third enabler is linked to the value network (VN), where innovations happen owing to the active collaboration and distributed knowledge of partners inside and outside the company. Finally, the fourth and last considers the complete product and service life cycle (PSLC), where the three sustainable elements are identified and analysed in each single business process. Two case studies, (footwear sector and water treatment plants) are described to show the validity and successful deployment of the proposed framework in real industrial scenarios.     

Eco-efficient cold chain networks design

ABSTRACT

The demand of food distribution across global supply chains is continuously growing and since this kind of deliveries need refrigeration, the growth will enormously increase the energy request and the associated carbon emissions. The aim of this study is to develop a model for the optimisation of eco-efficiency related to a typical refrigerated food distribution network design as a particular case of cold chain. Inventory holding, transportation and energy consumption cost components are included in the model for the evaluation of economic performance of the chain, while energy consumption for storage and transport activities is also considered to contribute to the environmental performance of the chain. In order to model a supply chain related to refrigerated food, the perishability of distributed products is also involved in the model, as it influences storage and distribution activities performances. A novel analytical model is developed for the economic and environmental evaluation of the considered chain. A numerical study that considers different alternative configurations of the distribution network for refrigerated green peas is presented and results are discussed considering the eco-efficiency of different alternatives. Finally, main limitations of the model and future developments are presented and discussed.     

Physical and Economic Sustainability of Water: New Approach Using the Case of the Big Lost River,Idaho

A new approach for evaluating water sustainability is introduced by comparing physical and economic sustainability. To achieve physical sustainability, water should be available in sufficient quantity and of good quality and used efficiently. The economic sustainability can be achieved by balancing between costs and values of water. The objectives of this study were to estimate the physical and economic sustainability of surface water in the Big Lost River, south–central Idaho. The study used a Bayesian network by building a graphical diagram of nodes representing all significant variables related with the sustainability, such as water demand, water quality, and the different costs and values of water. The study showed that the likelihood of the physical sustainability is less than that of the economic sustainability, which is attributed to the scarcity of water in the Big Lost River. Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.