航天器总装事故原因事件重要度分析

为解决传统安全性定量分析方法不能描述航天器总装这一复杂人-机-环系统的失效数据波动性和非严格逻辑关系的问题,结合生产实际,采用问卷调查的方法找出影响总装事故的风险因素,即导致事故的事件发生可能性、输入事件对输出事件的影响程度等。在验证调查数据的有效性之后,应用基于模糊数的模糊因果图(FCD),计算某航天器与支架车连接作业的事故风险可能性。提出原因事件重要度的计算方法。通过计算发现,人员注意力和发动机保护罩作用是导致发动机损伤的关键事件。与模糊事故树(FFT)、贝叶斯网络(BN)重要度计算结果对比表明,模糊重要度计算结果能反映事故发生可能性对原因事件发生可能性值的增减的敏感度。     

考虑齐口裂腹鱼产卵需求的山区河流生态基流过程确定

在原型观测的基础上,应用生态水力学法与生境模拟法,建立对考虑齐口裂腹鱼产卵需求的山区河流水电工程生态基流过程的确定方法,并以四川中型山区河流杂谷脑河薛城电站为背景,对所构建方法进行应用分析。通过原型观测,对生态水力学的齐口裂腹鱼生境水力参数标准在杂谷脑河应用的适宜性进行分析;应用生态水力学方法,对不同河道流量下薛城电站减水河段的齐口裂腹鱼生境水力参数进行数值模拟,根据模拟结果,结合齐口裂腹鱼生境水力参数标准,分析得到薛城电站满足其生存的最小下泄流量;应用生境模拟法,对齐口裂腹鱼产卵期不同河道流量下薛城电站减水河段集中产卵场的可利用生境面积进行计算,得到最大可利用生境面积对应的下泄流量。综合最小下泄流量值与最大可利用生境面积所对应的下泄流量值,考虑齐口裂腹鱼产卵对水文情势的要求,建立薛城电站考虑齐口裂腹鱼产卵需求的生态基流过程。采用所构建方法得到的考虑鱼类产卵需求的水电工程生态基流过程,由于考虑了鱼类生存对最低流量以及产卵对水文情势的要求,能更好地满足鱼类产卵需求,可作为电站运行调度的约束。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.     

A bayesian network-based safety assessment method for solid propellant granule-casting molding process

The safety of the solid propellant molding process is vital for the stable production of high-quality propellants. Failure events caused by abnormal parameters in the molding process may have catastrophic consequences. In this paper, a Bayesian network (BN) model is proposed to assess the safety of the solid propellant granule-casting molding process. Fault tree analysis (FTA) is developed to construct a causal link between process variables and process failures. Subsequently, expert experience and fuzzy set theory (FST) are used to obtain failure probabilities of the basic events (BEs). Based on the mapping rules, FTA provides BN with reliable prior knowledge and a network structure with interpretability. Finally, when new evidence is obtained, the probability is updated with the diagnostic reasoning capability of BN. The results of the sensitivity analysis and diagnostic inference were combined to identify key parameters in the granule-casting molding process, including curing temperature, vacuum degree, extrusion, calendering roll distance, length setting value, holding time, and polish time. The results of this paper can provide effective supporting information for managers to conduct process safety analysis.     

北京10个常绿树种颗粒物吸附能力研究

大气中颗粒物PM(particulate matter)不仅造成环境污染,还对人体造成严重的危害.城市绿色植物作为大气过滤器,能够有效地提高城市空气质量,保护人体健康.因此了解不同树种对空气颗粒物的吸附滞纳作用是必要的.以北京植物园10种常绿植被为研究对象,应用空气气溶胶再发生器(QRJZFSQ-I)测定了北京市常见6种乔木和4种灌木叶片对空气总悬浮颗粒物(TSP)、PM10、PM2.5和PM1.0的吸附能力.结果表明:1不同树种叶片表面附着颗粒物的能力差异明显,最高的是雪松(Cedrus deodara)和油松(Pinus tabuliformis),吸附量分别是(18.95±0.71)μg·cm-2和(14.61±0.78)μg·cm-2,冷杉(Abies fabri)最小,为(8.02±0.4)μg·cm-2;2不同树种叶片单位面积对不同颗粒物的附着能力也存在差异,附着PM10能力最强的是油松和雪松,附着PM2.5能力最强的是雪松、铺地柏(Juniperus procumbens)、龙柏(Juniperus chinensis cv.kaizuka)和油松,附着PM1.0能力最强的是雪松、铺地柏、冷杉和油松;3不同月份叶片上附着的各粒级颗粒物(PM10、PM2.5)占TSP的比例不同.其中PM10在4~6月之间主要表现两种变化趋势,一是先上升后下降,主要为灌木树种;二是逐渐上升,主要的树种是乔木树种.而PM2.5则没有这种明显的变化趋势.     

Formation of Two Xylem Frost Injuries in One Annual Ring in Siberian Spruce under Conditions of Western Siberian Forest-Tundra

The phenomenon of the formation of two damaged xylem layers in one frost ring is described in Siberian spruce grown in western Siberian forest-tundra. Temperature conditions providing for the formation of pathological cell and tissue structures are determined. The relationship between the formation of double frost injuries and cold periods is demonstrated.     

秦皇岛市4种常见绿化植物滞尘效应研究

通过对秦皇岛市4种常见绿化植物的叶片滞尘量、单株滞尘能力及相关因素的研究,发现绿化植物单位叶面积的滞尘量最大可以相差2.5倍左右,树种叶片滞尘能力的大小排序为：国槐＞悬铃木＞金银木＞连翘,单株滞尘能力的大小排序为：悬铃木＞国槐＞金银木＞连翘;绿化植物的滞尘量与环境中粉尘含量成正比,树木滞尘能力还与叶片表面性状、叶面积指数及植物所处环境等因素有关。     

GSM移动通信基站电磁辐射环境影响分析

本文阐述了电磁辐射的相关理论、电磁辐射环境的评价标准以及基站的工作原理,对电磁环境进行了理论预测,对不同的天线增益下的电磁辐射功率密度值进行了计算,得到了在天线增益15dBi、17dBi和18dBi三种情况下与天线不同直线距离的预测点的功率密度预测值,并对功率密度预测值进行了分析。     

Organic farmers in islands: Agricultural management and attitude towards the environment

SUMMARY

This study explores differences among organic farmers who live in islands and have isolated small-size operations. The relationships between farmers' characteristics and attitudes and farm management were interpreted by studying how they manage their land, their attitudes towards the environment and alternative farming systems, and their involvement in organic farming. The research was carried out using questionnaires addressed to organic farmers on the island of Thassos. Nonlinear canonical correlation was applied for data analysis. This information could contribute to adjustment of policy decisions for on-farm diversification. Agricultural policy makers should approach organic farmers in northern Thassos (productive irrigated olive orchards with gentle slopes) by enacting standards to reduce the cost of alternative plant protection methods and promoting their products in order to maintain and expand organic farming. They should also approach organic farmers in southern Thassos (less productive, dry cultivated olive orchards with steep slopes, overgrazed and often abandoned) by providing them with the necessary information and appropriate agricultural know-how to effectively manage their farms. Organic farmers with stable off-farm income are more aware of environmental values and consider that they risk less than others in order to gain the benefits of alternative farming systems. However, they should attend training programmes to achieve economic success to allow them to continue farming organically.     

Climate change and transdisciplinary science: Problematizing the integration imperative

In this article we critically examine the ‘integration imperative’ in transdisciplinary environmental science and build on social constructivist and political theories to suggest alternative approaches of knowledge co-production in transdisciplinary settings. Our argument builds upon a body of literature in social studies of science to cull insights about knowledge co-production, social learning, and the ecology of team science, particularly as it relates to climate change adaptation. Couched in this transdisciplinary literature, we demonstrate, is the assumption that integration necessarily can and should be a regulative ideal. We critique this assumption by examining the ‘messy’ politics of achieving consensus among radically different, and sometimes irreconcilable, ways of knowing. We argue that the integration imperative conceals the friction, antagonism, and power inherent in knowledge co-production, which in turn can exclude innovative and experimental ways of understanding and adapting to climate change. By way of conclusion, the final section explores three alternative models of knowledge co-production – triangulation, the multiple evidence-based approach, and scenario building – and illustrates their application in the context of transdisciplinary research in climate change adaptation in the arctic, focusing on alternative means of cross-boundary engagement with indigenous ways of knowing.