通用航空安全体系自组织演化动力学机制与模式研究

建立符合通用航空发展规律的通用航空安全管理理论体系,是通用航空发展的前提.本文以通用航空发展特点为基础,应用自组织理论对通用航空发展的组织特性进行了分析,研究了通用航空安全体系自组织生成模式的前提条件和动因,剖析了通用航空安全体系自组织演化的内外部动力因素,以及其相互作用方式和过程,从而解构出通用航空安全体系自组织演化的动力学机制—涨落机制、创新机制、选择机制和学习机制,在此基础上,构建了通用航空安全体系自组织演化动力学模型.最后,结合实际对我国通用航空安全管理体系建设提出了相应的建议.     

雨雪冰冻灾害后粤北森林各林型凋落物动态

为了考察中国亚热带不同森林类型对雨雪冰冻灾害的响应模式,以粤北天井山3种代表性的林型—针叶林、阔叶林和混交林为对象,于不同森林类型中比较受损森林与未受损森林在凋落物年产量、成分及月际动态方面的差异,从而在凋落物水平上反映不同森林类型在雨雪冰冻灾害后的早期恢复力。研究结果表明,灾后针叶林、阔叶林和混交林的年凋落量分别为0.52、3.21、1.37 t.hm-2,比未受损的同种森林类型年凋落量显著减少,减少程度分别为87.89%、53.46%、76.78%。由此可以看出阔叶林的植被恢复情况最好,说明在凋落物水平上,其灾后恢复的早期阶段恢复力最强。在凋落物成分方面,灾后各森林类型叶凋落物所占比例显著增加,枝凋落物所占比例则显著减少。受损针叶林和阔叶林的凋落物月动态与未受损森林基本一致,但其波动幅度较小;在混交林中,受损和未受损森林其凋落量的季节动态模式则表现出不一致性且为不规则型。根据研究结果,建议在亚热带地区优先考虑种植阔叶林以促进受损森林在类似雨雪冰冻灾害的极端天气后的恢复。     

System dynamics research of non-adaptive evacuation psychology in toxic gas leakage emergencies of chemical park

Chemical industry park plays an important role in optimizing the allocation of resources, but an emergency may make a great deal of personnel casualty and property loss. Many casualties are not the result of accidents but are caused by extreme behavior because of the non-adaptive psychology of the evacuees. Panic is one of the non-adaptive psychological behaviors during an evacuation, which is influenced by a variety of factors. Based on the consideration of the disaster environment and the evolution of crowd emotion, a system dynamics model of panic spread is established by using Anylogic software, and simulation experiments are carried out for different disaster severity, visibility, and groups. The results show that the number of people with severe panic increase when visibility decreases or disaster diffuses. Besides, the appropriate proportion of groups can effectively reduce the cooling time of crowd and ease the fears. However, continue to increase the number of groups has no significant effect on the panic control. This work can provide some reasonable guidance for regional emergency evacuation in chemical park.     

Numerical simulation of small-scale pool fires of LNG

Liquefied natural gas (LNG) has been largely indicated as a promising alternative solution for the transportation and storage of natural gas. In the case of accidental release on the ground, a pool fire scenario may occur. Despite the relevance of this accident, due to its likelihood and potential to trigger domino effects, accurate analyses addressing the characterization of pool fires of LNG are still missing.In this work, the fire dynamic simulator (FDS) has been adopted for the evaluation of the effects of the released amount of fuel and its composition (methane, ethane, and propane), on the thermal and chemical properties of small-scale LNG pool fire. More specifically, the heat release rate, the burning rate, the flame height, and thermal radiation, at different initial conditions, have been evaluated for pool having diameter smaller than 10 m. Safety distances have been calculated for all the investigated conditions, as well.Results have also been compared with data and correlations retrieved from the current literature. The equation of Thomas seems to work properly for the definition of the height over diameter ratio of the LNG pool fire for all the mixture and the investigated diameters.The addition of ethane and propane significantly affects the obtained results, especially in terms of radiative thermal radiation peaks, thus indicating the inadequacy of the commonly adopted assumption of pure methane as single, surrogate species for the LNG mixture.     

A study of the precursors leading to ‘organisational’ accidents in complex industrial settings

This study aggregates the narrative findings from the investigation of 12 accidents or ‘near hits’ across a wide range of industrial settings to build a catalogue of organisational and cultural precursors to accidents. It was found that many were important factors in multiple events. It is argued that by addressing these potential vulnerabilities using the findings and proposed tools based upon them, organisations undertaking safety related activities will not only develop greater awareness of these deeper-lying issues but should be able to better control the risks associated with them.The precursors have been classified under eight headings and examples of key findings from three of these are presented. Statements providing potential defences against the identified vulnerabilities have been developed which should enable organisations to scrutinise the adequacy of existing expectations or requirements within their business. Probing questions have been developed based on the statements which should allow an assessment to be made as to whether these have been ‘embedded’ in the organisation.It is argued that organisational vulnerability tools should be developed to enable a systematic approach to ‘diagnosing’ incubating precursors. It is also argued that there is the potential for further resilience to be achieved through the use of models of the complex dynamics of socio-technical processes within organisations.     

Incorporating evolutionary processes into population viability models

We examined how ecological and evolutionary (eco‐evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco‐evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco‐evo PVA using individual‐based models with individual‐level genotype tracking and dynamic genotype–phenotype mapping to model emergent population‐level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco‐evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence.     

海水养虾池细菌数量动态及细菌生产力的研究

对5个海水养虾池细菌数量动态及细菌生产力的研究结果表明：水层细菌数在不同试验池及同一池塘不同采样时间均呈现较大波动．细菌密度在底水层明显高于表水层，且同一虾池细菌密度在水平分布上极具不均匀性．底泥中细菌数在采样期稳定增加并与底泥中有机物含量呈现显著正相关,随着泥层加厚，细菌密度呈V型分布，最大密度出现在表层1cm之内，2cm以下泥层，细菌密度明显减小原位（in－situ）实验测定所得虾池细菌生产力ρ4（C）·t－1＝86．10～343．25mg·m－2·d－1，是浮游植物初级生产力的10％～19％     

应用系统动力学原理制定小流域经济建设决策

本文应用系统动力学原理，就太平沟小流域资源的开发利用进行了系统分析，绘制了ＳＤ模型流程图，编制了ＳＤ模型程序，经微机模拟仿真，确定了“综合型”发展为该流域资源开发利用方向，为该类型区小而域经济建设及两高一优农业发展提供了科学依据和方法。     

采果期甜椒氮素营养特性及分配规律

利用^15N示踪技术研究了水培甜椒果实收获期间吸收的氮素在体内的动态分配规律。结果表明：甜椒果实收获期间营养器官与生殖器官干物质积累动态呈一平行的线性增长趋势，果实干物质积累量于始采期以后开始超过叶片，而果实氮素积累到盛采期才超过叶片，果实含氮量在整个采果期间保持稳定，随生长发育，叶片含氮迅速下降，盛采期时与果实和根相近，且均高于茎和侧枝，始采期通过根吸收的标记态氮主要贮存在叶片与果实中，叶片、果实是甜椒始采用氮素分配的最主要器官。此后，叶片和根成为主要的氮素输出器官，而果实则成为主要的输入器官。研究发现，甜椒体内的氮即使一度成为结合态，能能够被再度输出，但是，氮素在植株体内滞留的时间越长，越难以再度向外输出，并且不同器官输出的难易程度也是不相同的，比较而言，叶片和根中一度成为结合态的氮素容易被再交输出，甜椒果实是氮的强力库，氮素竞争力最强。     

北京城市生态系统的能值动态分析

采用能值理论与分析方法,对北京市1990~2001年间的能值结构动态进行了分析,并采用人均能值、能值密度、生态功能潜力、人口基本承载力、能值自给率、能值货币比率、环境负载率、输入能值比等重要能值指标对该时期北京市城市生态系统的能值状况作了详细分析。研究表明,北京城市生态系统正处于较高发展水平,已基本跨入发达国家水平的行列;但高强度、快速发展给本市带来了巨大的生态环境压力,未来北京的可持续能力建设已势在必行。文章也提出了北京城市生态系统可持续发展能力建设的基本方向。