突发事件下安全舆情的传播与演变——以江苏响水天嘉宜化工有限公司“3.21”特别重大爆炸事故为例

为明确突发事件安全舆情传播与演变路径,提高企业防控突发事件安全舆情传播风险能力,降低衍生灾害发生概率,在文献分析及事故致因理论基础上,构建突发事件安全舆情传播与演变过程的系统动力学（SD）模型,并运用Vensim软件对以江苏响水天嘉宜化工有限公司“3.21”特别重大爆炸事故为例进行仿真实验,模拟安全舆情传播与演变动态过程。结果表明:突发事件安全舆情传播与演变主要受事件自身、媒体、相关企业监管层、相关企业执行层4个主体的共同影响,其中事件自身因素起效时间最早,相关企业监管层影响作用最大、维持时间最持久,相关企业执行层影响最直接。     

中义隧道片理化玄武岩段大变形控制技术研究*

为进一步探究高地应力隧道软岩大变形控制技术,以中义隧道主洞片理化玄武岩段为工程背景,提出大变形Ⅰ型支护、大变形Ⅱ型支护、大变形Ⅱ型支护（围岩加固）3种大变形控制方案,以现场试验段监测为辅助验证,采用数值仿真对3种控制方案的控制效果进行对比分析。结果表明:适宜的支护成环时间具有减缓大变形的作用;在衬砌各部位累计最大变形控制方面,控制方案3较其他方案衬砌最大变形最少减小20.8%,且变形时程曲线最终收敛;围岩最大日变形量控制方面,经过开挖断面的进一步优化以及边墙部位塑性区围岩自承能力的提高,控制方案3最大日变形量较其他支护方案至少减小20.8%。结果显示控制方案3能够稳定控制片理化玄武岩大变形,且效果最好,研究结果可为类似工程提供设计依据。     

分离岛式地铁站可用安全疏散时间计算与比较分析*

为研究大客流地铁车站风险因素,提出车站疏散能力分析的基本要素,结合某分离岛式地下车站,采用规范计算及精细网格模型对可用安全疏散时间进行计算与比较分析。结果表明:楼扶梯的通过效率、车站结构形式、疏散人员的数量及分布情况等因素对仿真模拟的结果产生影响;《地铁安全疏散规范》（GB/T 33668—2017）综合考虑了疏散至楼扶梯入口时间、楼扶梯上平均滞留时间及通道非均匀性偏差时间等,与仿真模拟结果的吻合度较高。研究结果可为国内类似车站的安全疏散设计及运营疏散组织提供参考。     

金属丝网对甲烷/空气预混火焰管道内传播的影响

为研究管道内金属丝网对甲烷/空气预混火焰传播的影响,通过实验和三维数值模拟研究安装金属丝网的管道内火焰传播特性以及流场、温度场的变化。结果表明:40目4层的金属丝网可以使火焰淬熄,30目4层的金属丝网无法淬熄,但可以使火焰停滞3 ms;大涡模型可以很好地对管道内火焰淬熄现象进行模拟;当火焰穿过30目4层金属丝网时,速度增大,在Kelvin Helmholtz不稳定和Rayleigh Taylor不稳定的耦合作用下形成湍流;金属丝网的目数会影响热量在丝网层中的扩散,当金属丝网为30目4层时,火焰热量扩散快,而当金属丝网为40目4层时,火焰热量扩散慢且温度大幅度衰减,衰减率达到83%。     

城乡居民突发事件应对能力研究——以浙江省为例

将突发事件应对能力分为一般应对能力和特殊应对能力,以大学生为样本编制量表,在社会居民中验证其适用性,量表有良好的信效度和适用性。对浙江省11个地区的居民抽样调查表明,积极行为能力强于情绪管理能力,传染疾病和火灾应对能力比较强,食物中毒应对能力比较弱;城市居民强于农村居民,男性比女性强;社会居民强于大学生,50岁以下的比较强;机关干部最强,农民最弱;受训者强于未受训者,受训者太少。突发事件应对训练竭待加强。     

结构面分布特征对隧道围岩变形影响的数值模拟分析

结构面对隧道围岩变形及稳定性起着决定性作用。运用三维离散元方法(3DEC)研究结构面分布特征,重点是结构面线密度1/λ、强度和倾角对隧道围岩变形的影响,总结了结构面分布与围岩变形特征的关系。结果表明,在结构面强度较低的情况下,结构面线密度对隧道变形的影响较大,其影响可分为两种情况:①λ≤0.2时,围岩的弯曲变形大于沿结构面的剪切变形,属于应力型大变形;②0.2<λ≤0.4时,沿结构面的剪切变形大于围岩的弯曲变形,属于结构型大变形。结构面倾角主要影响围岩大变形发生的位置。将数值模拟结果与国内工程实例实测变形资料相对比,发现一致性较好。本研究结果对隧道支护结构的设计以及施工设计具有借鉴意义与指导作用。     

规模效率和技术进步对CO2排放影响的实证

本文利用DEA的方法从全要素生产率中分解出规模效率、技术进步和纯技术效率三个指标,然后基于1998-2008年的省际面板数据分析了不同地区的工业规模效率及技术进步对CO2排放影响的程度及差异化的原因.研究结果显示:从总体来看,技术进步对单位GDP的CO2排放有抑制作用,而规模效率则与CO2排放呈正向关系,但各个地区的情况不同,东中部地区的技术进步对单位GDP的CO2排放起到了抑制作用,东北地区和西部地区的技术进步则对单位GDP的CO2排放起到了促进作用;东中部地区的规模效率对单位GDP CO2排放的影响程度要远小于东部地区和西部地区;产生这些差异的原因可能是与我国区域间技术进步与规模效率所属的种类不同有关,东部地区的技术进步可能属于节能型技术进步,而西部地区则属于耗能型的技术进步;东北地区和西部地区规模效率的提升可能更多地依靠能源消耗,中东部地区则有所改善.     

The Dual Model for Tourism Resource Productivity Improvement

For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivity is the potential market scale of tourist locations, and second most important influencing factor is the resource endowment. Regional urban population is significantly correlated with region tourist numbers, being the decisive factor of region potential tour market scale. In tourism development, the dual model should be adopted: on one hand to enhance tour spot attractiveness, on the other hand to cultivate the potential market by improving urbanization level and other means. In the situation of tourism development fever spreading, the dual model for improving tourism productivity helps to avoid the "Great Leap Forward" which means that too rapid tourism construction divorces from actual market demand.     

Performance of a small-scale solar-powered adsorption cooling system

In this study, an experimental investigation on the performance of a small-scale residential-size solar-driven adsorption (silica gel-water) cooling system that was constructed at Assiut University campus, Egypt is carried out. As Assiut area is considered as hot, arid climate, field tests for performance assessment of the system operation during the summer season are performed under different environmental operating conditions. The system consists of an evacuated tube with a reflective concentration parabolic surface solar-collector field with a total area of 36 m², a silica gel-water adsorption chiller of 8 kW nominal cooling capacity, and hot and cold water thermal storage tanks of 1.8 and 1.2 m³ in volume, respectively. The results of summer season field test show that under daily solar insolation varying from 21 to 27 MJ/m², the solar collectors employed in the system had high and almost constant thermal efficiency. The daily solar-collector efficiency during the period of system operation ranged from about 50% to 78%. The adsorption chiller performance shows that the chiller average daily coefficient of performance (COP) was 0.41 with the average cooling capacity of 4.4 kW when the cooling-water and chilled-water temperatures were about 31°C and 19°C, respectively. As the chiller cooling water is cooled by the cooling tower in the hot arid area, the cooling water is at a higher temperature than the design point of the chiller. Therefore, an experiment was carried out using the city water for cooling. The results show that an enhancement in the chiller COP by 40% and the chilling power by 17% has been achieved when the city water was 27.7°C.     

Incorporating layer- and local-scale heterogeneities in numerical simulation of unsaturated flow and tracer transport

This study characterizes layer- and local-scale heterogeneities in hydraulic parameters (i.e., matrix permeability and porosity) and investigates the relative effect of layer- and local-scale heterogeneities on the uncertainty assessment of unsaturated flow and tracer transport in the unsaturated zone of Yucca Mountain, USA. The layer-scale heterogeneity is specific to hydrogeologic layers with layerwise properties, while the local-scale heterogeneity refers to the spatial variation of hydraulic properties within a layer. A Monte Carlo method is used to estimate mean, variance, and 5th, and 95th percentiles for the quantities of interest (e.g., matrix saturation and normalized cumulative mass arrival). Model simulations of unsaturated flow are evaluated by comparing the simulated and observed matrix saturations. Local-scale heterogeneity is examined by comparing the results of this study with those of the previous study that only considers layer-scale heterogeneity. We find that local-scale heterogeneity significantly increases predictive uncertainty in the percolation fluxes and tracer plumes, whereas the mean predictions are only slightly affected by the local-scale heterogeneity. The mean travel time of the conservative and reactive tracers to the water table in the early stage increases significantly due to the local-scale heterogeneity, while the influence of local-scale heterogeneity on travel time gradually decreases over time. Layer-scale heterogeneity is more important than local-scale heterogeneity for simulating overall tracer travel time, suggesting that it would be more cost-effective to reduce the layer-scale parameter uncertainty in order to reduce predictive uncertainty in tracer transport.