有机酸性腐蚀品生产危险性分析

目前我国化工生产中涉及大量有机酸性腐蚀品,通过对某市化工行业调查及分析,发现有机酸性腐蚀品生产普遍,而且生产原料易燃易爆,生产过程存在火灾爆炸危险,结合具体生产工艺,采用预先危险性分析法和作业条件的危险性评价法分析生产过程危险性,从而揭示并概括有机酸性腐蚀品生产危险性.为更好地促进我国安全生产,在此基础上探讨了一些针对性的安全措施.     

火源位置对L型管廊电缆火灾影响规律的数值模拟研究

选取某城市L型综合管廊电缆舱为研究对象,采用FDS数值模拟软件研究了不同火源位置对L型管廊电缆火灾温度纵向衰减规律、烟气浓度分布规律及烟气危害性的影响。研究结果表明,L型廊道构型影响了不同火源位置的管廊电缆火灾最高温度纵向衰减的连续性,基于热边界层理论提出了适用于L型管廊的二维平面最高温度纵向衰减模型。基于峰宽时间计算了L型管廊火灾的烟气总危害性参数,不同火源位置的烟气危害性总在靠近管廊节点位置处最低。这些结果可对综合管廊的消防设计与火灾防控提供参考。     

226Ra, 232Th and 40K analysis in soil samples from some areas of Malwa region, Punjab, India using gamma ray spectrometry

The activity concentrations of soil samples collected from thirty different locations of Malwa region of Punjab were determined by using HPGe detector based on high-resolution gamma spectrometry system. The range of activity concentrations of ²²⁶Ra, ²³²Th and ⁴⁰K in the soil from the studied areas varies from 18.37 Bq kg⁻¹ (Sangrur) to 53.11 Bq kg⁻¹ (Sitoguno), 57.28 Bq kg⁻¹ (Dhanola) to 148.28 Bq kg⁻¹ (Sitoguno) and 211.13 Bq kg⁻¹ (Sunam) to 413.27 Bq kg⁻¹ (Virk Khera) with overall mean values of 35 Bq kg⁻¹, 80 Bq kg⁻¹and 317 Bq kg⁻¹ respectively. The absorbed dose rate calculated from activity concentration of ²²⁶Ra, ²³²Th and ⁴⁰K ranges between 8.47 and 24.48, 35.68 and 92.38, and 8.74 and 17.11 nGy h⁻¹, respectively. The total absorbed dose in the study area ranges from 58.08 nGy h⁻¹ to 130.85 nGy h⁻¹ with an average value of 79.11 nGy h⁻¹. The calculated values of external hazard index (H_ex) for the soil samples of the study area range from 0.35 to 0.79. Since these values are lower than unity, therefore, according to the Radiation Protection 112 (European Commission. Radiation Protection 112 1999) report, soil from these regions is safe and can be used as a construction material without posing any significant radiological threat to population.     

中国煤电和核电的环境影响与健康风险比较

将煤电与核电的环境影响和健康风险从全燃料链角度进行比较 ,结果表明 ,煤电燃料链的环境影响和健康风险比核电燃料链大。     

Framing of Geoengineering Affects Support for Climate Change Mitigation

The growing recognition that climate change mitigation alone will be inadequate has led scientists and policymakers to discuss climate geoengineering. An experiment with a US sample found, contrary to previous research, that reading about geoengineering did not reduce conservatives’ skepticism about the existence of anthropogenic climate change. Moreover, depending on how it is framed, geoengineering can reduce support for mitigation among both conservatives and non-conservatives. When geoengineering is framed as a major solution, people worry less about climate change, leading to reduced mitigation support. When framed as disastrous, people perceived geoengineering as riskier, also leading to a decrease in mitigation support. A more moderate framing of geoengineering as a partial solution is less susceptible to moral hazard effects. Overall, results suggest that geoengineering will not lessen political polarization over anthropogenic climate change, and could undercut support for mitigation efforts. Instead, framing geoengineering as a small piece to solving a big puzzle seems to be the best strategy to weaken this potential moral hazard.     

Two-echelon closed-loop supply chain deterministic inventory models in a batch production environment

This paper considers a two-echelon closed-loop supply chain consisting of a manufacturer and a remanufacturer at the upper echelon and a retailer at the lower echelon. The retailer faces a constant demand from customers, which is satisfied through recovered and new products received from the remanufacturer and the manufacturer, respectively. The manufacturer produces the product with finite rate, whereas the recovery of returned product is instantaneous at the remanufacturer. We develop three models to determine the optimal production-inventory policy of the players for minimizing the joint total cost of the system. In the first model, the retailer receives the product in batches from the manufacturer and the remanufacture simultaneously, whereas in the second and third models, the batches are received alternatively. In the third model, however, the procurement of raw material at the manufacturer is also considered. Numerical illustration is presented to examine the impact of certain key parameters.     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

复合链式结构下中国林业碳库系统测度模型构建

温室气体上升导致的全球气候变暖问题不容忽视,增加森林碳汇和木质林产品碳储是缓解温室效应的有效途径。根据森林碳汇功能与林产品碳储功能的关联理论与模型,推导和改进包括森林子碳库、土壤子碳库及木质林产品子碳库在内的林业碳库核算模型及方法,以实现目标碳从森林碳库向木质林产品碳库的过渡与转移。基于气候变化背景下森林-林产品产业链的发展现状,构建包括森林子碳库和林产品子碳库的复合一体化林业碳库模型,使之为中国林业碳库的计量与评价提供判据。首先,对包含森林子碳库和木质林产品子碳库在内的世界林业碳库的发展现状进行探讨,归纳和比较国内外主流的关联林业碳库评估方法模型,从而对中国林业碳库模型的构建提供理论背景支持和逻辑方法支撑。其次,分析现有中国林业碳库评估存在的优势和弊端,找出适合中国林业特点的国家碳库创新评估路径,运用政府间气候变化专门委员会指定的生产法的思路,通过分析目标碳在林产品产业链生产、加工等过程中的流入和支出,提出创新中国林业碳库的模型构想并对其系统内涵进行分析。最后,赋予中国林业碳库系统模型数学表达,分析其数理结构并进行逻辑演绎,在森林子碳库和木质林产品子碳库两个复合链式体系下构建中国林业碳库系统测度模型(ForestProducts Carbon Model/FPCM)。     

中国农业现代化发展水平的空间非均衡及动态演进

研究中国农业现代化发展水平的地区差距以及内部动态分布特征对于制定农业现代化发展的相关政策具有重要意义。本文利用1997-2013年中国31个省、市(自治区)的面板数据,构建了农业现代化发展水平的指标体系,进而采用熵权综合指数法测算出中国农业现代化发展水平的综合指数,同时借助Dagum基尼系数和Markov链估计方法对中国农业现代化发展水平的地区差距及其分布动态进行了实证研究,得到如下结论:1Dagum基尼系数及分解结果表明,中国农业现代化发展水平的总体差距在样本考察期内呈现出先上升、后下降的演变趋势。从三大地区来看,东部地区内差距呈现出上升趋势,而中部和西部地区内差距则呈现出下降趋势。地区间差距是造成中国农业现代化发展水平空间非均衡的首要原因,并且其对总体差距的贡献率呈波动上升趋势;地区内差距对总体差距的贡献率变化较小,而超变密度对总体差距的贡献率呈现出先上升、再下降的演变趋势。2Markov链分析表明,中国农业现代化发展水平状态流动性较低。从整体来看,中国农业现代化发展水平存在较为明显的上升趋势,并且农业现代化发展的低水平省份将逐步减少,总体向中等以上水平发展。针对本文实证结果,由此得到如下政策建议:首先,加大国家对西部地区农业基础设施建设的投入,引导农业科技人才回归;其次,加强区域间农业现代化发展全方位的交流与合作,发挥省区之间的协同效应;最后,因地制宜,充分利用资源禀赋,推动农业现代化发展。     

循环经济理论思索

循环经济是对近现代人类社会长期、大规模、高强度、未善待大自然的开发活动导致自然资源和生态环境逼近其耐受极限而进行反思的产物.从经济-社会-科技-自然多元复合人工自组织系统角度,研究了循环经济的科学内涵,指出循环经济是建立在组织结构协同基础上的物质循环与能量梯级利用,是集约经济的高级形态和理想模式.针对循环经济包含的若干属性特征,论述了5个基本理论问题,包括守恒与平衡、循环与协调、互动整合与倍增效应、聚集经济与产业集群、生态学基本原理应用和生态系统服务.并就生态工业系统规划设计涉及的基本方法、关键环节、人力投入等给出了政策建议.