阿尔泰山西伯利亚云杉多种树轮宽度年表研制及其气候响应研究

利用树轮图像分析法,获取了阿尔泰山较低海拔西伯利亚云杉（Picea obovata）的全轮、早材和晚材树轮宽度数据,并建立三种树轮宽度年表。通过对树轮宽度年表统计特征及年表与气候因子的相关分析发现：早材生长对气候变化的敏感性更强,而晚材宽度中含有的气候信息相对较少。三种年表对气候因子的响应结果较为一致,但也存在一定的差异性。水分是研究区树木径向生长的主要限制因子。其中,全轮和早材年表与上年7月至当年6月的总降水量正相关性最高（p<0.01）,晚材年表与当年4月至7月总降水量正相关性最高（p<0.01）。上年降水量的滞后效应对早材生长的影响比晚材更大。滑动相关分析结果显示,降水量对树木径向生长的影响呈减弱趋势。     

A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment

In highly complex industries, capturing and employing expert systems is significantly important to an organization's success considering the advantages of knowledge-based systems. The two most important issues within the expert system applications in risk and reliability analysis are the acquisition of domain experts' professional knowledge and the reasoning and representation of the knowledge that might be expressed. The first issue can be correctly handled by employing a heterogeneous group of experts during the expert knowledge acquisition processes. The members of an expert panel regularly represent different experiences and knowledge. Subsequently, this diversity produces various sorts of information which may be known or unknown, accurate or inaccurate, and complete or incomplete based on its cross-functional and multidisciplinary nature. The second issue, as a promising tool for knowledge reasoning, still suffers from lack of deficiencies such as weight and certainty factor, and are insufficient to accurately represent complex rule-based expert systems. The outputs in current expert system applications in probabilistic risk assessment could not accurately represent the increasingly complex knowledge-based systems. The reason is the lack of certainty and self-assurance of experts when they are expressing their opinions. In this paper, a novel methodology is presented based on the concept of Z-numbers to overcome this issue. A case study in a high-tech process industry is provided in detail to demonstrate the application and feasibility of the proposed methodology.     

基于FTA-IOT的高校校园安全系统性分析

为了更好的预防校园安全事故的发生,利用事故树方法研究了校园安全中的住宿安全、交通安全和饮食安全问题。论文通过计算事故树的最小径集对三类安全所有基本事件的结构重要性进行了分析,得出了对三类安全影响最大的因素。结果显示,财产丢失、火灾初期的控制是影响住宿安全的主要因素;校园车辆管理和人的行为是影响校园交通安全的主要因素;学生的不良饮水习惯、食堂卫生管理是影响饮食安全的主要因素。基于此,论文提出了基于物联网以RFID技术来提升校园的安全水平的措施。     

典型电子拆解地两种指示生物监测重金属污染的对比研究

利用ICP-MS定量测定了温岭市电子垃圾拆解地区的大灰藓及樟树叶中的12种金属元素的含量,对比分析了两种指示生物对不同金属元素的富集情况.结果显示,不同地区样品中的所有金属含量呈现污染区对照区的趋势,其中苔藓中As、Cr、Mn、Se、V和Cd,樟树叶中Cr、Cu、Ni、Se、Sb和Cd的含量呈现重污染区轻度污染区对照区的趋势.拆解区中樟树叶中除Mn以外的金属总含量(所有金属含量之和)要低于苔藓.除Mn、Cr和Se以外的其它9种金属在苔藓中的含量要显著高于樟树叶中的金属含量(p0.05),但苔藓中金属含量的标准偏差要大于樟树叶.由污染因子(pollution factor)的结果表明苔藓及树叶样品中的金属Sn、Sb及Cd的污染因子最高;另外,研究通过比较树叶样品的不同预处理过程对最终含量测定的影响,发现经超纯水清洗的树叶样品中所有金属浓度要明显低于未经清洗的样品,并且标准偏差较低,数值稳定性好.主成分分析结果表明,Co、Cr、Ni、Pb、Sn及Cd为密切相关的一类元素,主要来源于电子废弃物拆解行为,而Mn、As及Se为第二类元素,主要来源于地质因素.     

热磨试间火灾爆炸风险分析

采用层次分析法对热磨试间火灾爆炸风险进行分析,以某企业热磨试间内热磨合作业过程为例建立了评价模型。为提高层次分析法的准确性和有效性,在层次分析法之前,引入事故树,通过事故树确定各级指标,在层次分析法之后,通过与模糊数学相结合,对模型进行模糊评价,得出模型所处等级D=0.7087,即该企业热磨试间火灾爆炸风险为"危险性较大"等级。研究表明,"事故树-模糊层次分析法"应用于热磨试间火灾爆炸风险分析是可行的,有助于企业有针对性地制定安全措施,预防热磨试间火灾爆炸事故的发生。     

Study on the investment value and investment opportunity of renewable energies under the carbon trading system

China has promised to start the national carbon trading system in 2017. In the carbon trading system, the renewable energy projects may obtain additional benefits through the Certified Carbon Emission Reduction (CCER) trade. As the carbon price fluctuates along with the market conditions, such fluctuation enables the renewable power projects to acquire the rights of an option, i.e. it may contain an even higher value due to the uncertainties in the future. While making an investment decision, the renewable power companies may choose to make the investment immediately, or postpone the investment and accumulate more information to increase the return of investment; and for immediate investments, the return must be sufficient to exceed the potential value of a waiting option. To study the investment in renewable power projects subject to the fluctuation of carbon price, this paper adopts the trinomial tree model of real options to estimate the net present value (NPV) and real option value (ROV) of three types of renewable power projects; according to the decision-making rules of real options to defer, all the three types of projects will exercise the option to postpone the investment decision. This thesis also calculates the benchmark prices of the three types of renewable projects at different times, in the two situations of having no government subsidy and having the government subsidy, so as to determine the investment opportunity of a project. The benchmark price decreases gradually along with the increase of government subsidy, indicating that the government subsidy will stimulate the investment in renewable projects. The benchmark price also increases gradually along with the lapse of time, indicating that the uncertainty will increase together with the time span and thus requires an even higher carbon price to determine the investment opportunity. This thesis also analyzes the sensitivity of factors affecting the investment in renewable projects and draws the conclusion that the fluctuation of carbon price is positively related with the benchmark price of renewable power projects, which indicates that the fluctuation of carbon price increases the option value of an investment but postpones the time of investment. As the China’s carbon trading system improves gradually, the carbon price will reach a stable status, thus stimulate the power companies to invest in the renewable projects.     

Application of decision tools to ethical analysis in biodiversity conservation

Achieving ethically responsible decisions is crucial for the success of biodiversity conservation projects. We adapted the ethical matrix, decision tree, and Bateson's cube to assist in the ethical analysis of complex conservation scenarios by structuring these tools so that they can implement the different value dimensions (environmental, social, and animal welfare) involved in conservation ethics. We then applied them to a case study relative to the decision-making process regarding whether or not to continue collecting biomaterial on the oldest of the two remaining northern white rhinoceroses (Ceratotherium simum cottoni), a functionally extinct subspecies of the white rhinoceros. We used the ethical matrix to gather ethical pros and cons and as a starting point for a participatory approach to ethical decision-making. We used decision trees to compare the different options at stake on the basis of a set of ethical desiderata. We used Bateson's cube to establish a threshold of ethical acceptability and model the results of a simple survey. The application of these tools proved to be pivotal in structuring the decision-making process and in helping reach a shared, reasoned, and transparent decision on the best option from an ethical point of view among those available.     

Exploring constraints and incentives for the adoption of agroforestry practices on degraded cropland in Uzbekistan

Agroforestry is often an economically viable land-use option for the environmental rehabilitation of salinized cropping areas in irrigated drylands, but afforestation initiative at the farm level is subject to various socio-political constraints. We analyzed the factors that affect farmer decisions with respect to the agroforestry adoption using an ex ante approach through Ethnographic Decision Tree Modeling (EDTM). Constraints on agroforestry adoption were identified via a review of legal documents, focus-group discussions, and a farm survey in northwest Uzbekistan. The findings highlighted the importance of farmer perceptions of risk with respect to decision making surrounding the adoption of alternative land uses. The EDTM analysis allowed determining those policy incentives for afforestation that could directly influence the decision-making process of potential participants. In particular, there is a need for increased land-use flexibility, improved land tenure and tree plantation proprietorship security, increased awareness raising and training in agroforestry practices, and greater institutional support.     

Application of human factors evaluation in engineering design and safe operation of dense phase ethylene treaters

Ethylene treaters are widely used in the petrochemical industry to remove impurities from ethylene feedstock imported from pipeline networks or storage caverns. The safety concerns of dense phase ethylene treaters due to the reactive and highly flammable nature of ethylene are well known and studied. Under certain conditions, ethylene may self-polymerize and decompose violently with heat release. Under other conditions, ethylene will auto-refrigerate, generating cold liquids that may cause potential brittle fracture hazards. Therefore, dense phase ethylene treaters present design challenges with the unique combination of high temperature decomposition and cold temperature brittle fracture hazards.Due to these safety concerns, it is important to select the appropriate engineering design options for dense phase ethylene treaters and the associated regeneration facilities. Totally automated treater regeneration systems add complexity and instrument maintenance requirements while manually operated systems rely heavily on operator training and procedures. Unfortunately, little or no information or design guidance is available from published research findings in the literature on the evaluation and risk assessment of current industrial design options and practices for dense phase ethylene treaters.This paper presents a systematic risk assessment method to evaluate the engineering design and safe operation options for dense phase ethylene treaters. The proposed risk assessment method integrates human factors task analysis into the traditional HAZOP, LOPA and fault tree analysis to allow evaluation of automated, manual and hybrid approaches with a goal of selecting and optimizing design options to ensure plant safety. This approach provides a realistic assessment of the operational risk and allows identification of fit-for-purpose risk reduction. Applying this systematic risk assessment approach, a simpler and more cost effective design solution can be justified, thereby avoiding the need for a high integrity protective system.