细水雾抑制熄灭木材火焰的小尺度实验研究及简化模型

细水雾灭火技术以其环保性好、灭火迅速、耗水量低、破坏性小以及适用面宽等特点 ,已成为国际火灾领域关注研究的热点。以此为工程背景 ,开展了细水雾抑制熄灭木材火焰的小尺度模拟实验研究。利用热电偶测温系统、数码摄像机等仪器测量了细水雾作用前后燃烧场的变化特征。结果表明 :预燃时间、喷雾气压、细水雾作用时间等参数对灭火过程有显著影响。细水雾抑制熄灭木材火焰的主要机理是燃料表面冷却效应。从传热的角度建立的木材表面冷却模型与实验结果吻合较好     

生态效率是循环经济的合适测度

发展循环经济已经成为我国未来国民经济和社会发展的重要战略之一，但是循环经济发展的度量问题还有待进一步研究。本文首先论述循环率并非循环经济的科学测度，然后在阐明循环经济的本质是提高稀缺性自然资本的生产率的基础上．指出循环经济的发展可以用生态效率指标来度量。最后评述了Seiji Hashimoto和Yuichi Moriguchi建议的描述社会物质代谢的六个指标。并根据这些指标在确定政策目标时应该具备的标准和计算这些指标存在的问题，提出基于DMI、DPO和GDP的生态效率指标可以作为循环经济发展的科学度量指标。     

Sustaining Economic Welfare: Estimating Changes in Total and Per Capita Wealth

Genuine saving measures the real change in0 total wealth, factoring in the depreciation of produced assets, depletion of natural resources, pollution damages, and expenditures on education. This paper presents a theoretical framework for measuring changes in wealth in total and per capita terms, establishes the link between savings measures and prospects for social welfare, and provides summary empirical estimates of the savings measures. China excepted, the majority of countries below median income are distinguished by apparent declines in total wealth per capita.     

成都市可持续发展水平空间分布特征

本文通过对成都市 8县 4市 3区的可持续发展静态指数计算 ,定量地表达了成都市各区县目前可持续发展状况的对比关系 ,分析造成这种格局的原因并提出相应对策     

重型柴油车车载排放实测与加载影响研究

采用车载排放测试仪,对2辆重型柴油卡车在空载和加载条件下进行实际道路车载排放测试.通过分析获得了油耗与排放速率的速度-加速度及其工况点的分布,发现高油耗与高排放工况点主要集中在高速加速区域,加载时油耗与排放高值随工况点分布更广;车辆在(30±2.5)km·h^-1等速及加速行驶时受加载影响最大,此时加载油耗与排放约是空载的1.6～3.2倍左右;由实测结果发现,卡车Ⅰ和卡车Ⅱ加载时油耗及CO、HC、NO_x排放因子分别是空载的1.6倍、3.5倍、1.1倍、1.5倍以及1.2倍、1.0倍、0.9倍和1.5倍,加载对油耗与NO_x排放影响最为明显,对HC影响最小,CO影响取决于车辆保养水平;卡车Ⅱ较卡车Ⅰ车型更大,发动机功率更高,相同荷载时受加载影响较小,说明重型车在发动机负荷可承受的范围内合理装载,有助于避免油耗与排放恶化,提高燃油经济性和排放水平.     

基于未确知测度模型的非煤矿山安全标准化运行状况评价

为了实现对非煤矿山安全标准化运行状况的全员参与的评价,基于未确知理论,从监管、保障、能力、绩效等4个方面选取评价指标,建立安全标准化运行未确知测度模型。运用层次分析法(AHP)确定指标权重,以1级、2级、3级、4级作为评价等级。以某矿山企业为例进行评价。基于100位员工的评分结果,计算单指标未确知测度。结合权重、根据置信度识别准则,进行等级判定。最终得出该矿山企业安全标准化运行等级,并与专家考评结果进行对比分析。研究结果表明,该企业安全标准化运行等级为2级,与专家评价结果相吻合。     

Exploring the role of local community perceptions in sustainability measurements

Measuring sustainability is an integral part of decision-making processes in order to promote sustainable development. The present paper focuses on sustainability indicators as these are measured on local level and explores two main issues: firstly, the subjective measurement of indicators focusing especially on social dimensions of sustainability, secondly, the incorporation of local perceptions in sustainability assessments. These two issues are explored in the Asopos River basin in Greece, an area where significant environmental degradation has been observed in the past decades and is also under financial pressure due to the ongoing national recession. A large-scale research study was conducted measuring environmental, economic and social indicators while, at a second stage, a model was developed, estimating new indicators that incorporate local communities’ perceptions on what they considered as important for their area. The results of the study reveal that the most important indicators for the sustainable development of the area, according to locals’ perceptions, are environmental quality as well as quality of life. By contrast, trust in local and central institutions and also local enterprises were not considered as important by locals. These results illustrate the importance of combining global and national scale assessment with locally focused social measurements of sustainability in order to better understand what is important for local communities prior to embarking on public policy planning.     

钻屑法测定煤层H_2S含量

为了测定煤层硫化氢(H2S)含量,防治矿井H2S涌出,提出一种通过钻屑法测定煤层H2S含量的方法。在未受采动影响的新鲜煤壁,采用钻屑法取样,通过测定煤样H2S解吸量、取样过程损失量和H2S残存量确定煤层H2S含量。根据溶于水中H2S的p H值和色谱分析解吸气体中H2S体积分数,确定H2S解吸量;根据煤样解吸规律和气样H2S体积分数,确定H2S损失量;根据色谱分析残存气体中H2S体积分数,确定其残存量。用此方法,对山西某矿H2S涌出煤层进行现场和实验室测定。研究表明,该矿H2S含量为(4.465~6.701)×10-3m3/t。钻屑法测定煤层H2S含量是可行的,可以为矿井H2S治理提供基础数据。     

The potential implementation of green infrastructure assessment using high-resolution National Agriculture Imagery Program data for sustainable hazard mitigation

As green infrastructure gets its attention in hazard mitigation, it is necessary to improve general understanding on what makes green infrastructure important for hazard and resiliency research. To better understand how green infrastructure fits with more traditional notions of structural and nonstructural mitigation, this study examines the relationship between green infrastructure and ‘structural and nonstructural’ mitigation approaches for hazard mitigation. Also, this study discusses a new measurement of locational aspects and spatial patterns of green infrastructure by utilizing high-resolution data in urban areas, and its potential implementation in hazard mitigation. Compared to previous research using land-use land-cover datasets, the normalized difference vegetation index (NDVI) utilizing National Agriculture Imagery Program dataset provides an ability to capture green infrastructure in greater detail. A visual comparison suggests that the NDVI data are able to capture and identify more types of ‘green’ land uses in Harris County. The total green infrastructure percentages for Harris County, Texas, based on 1-m high resolution were found to be 61.5% of the area, compared to the 51.5% based on the National Land Cover Database. This study provides support for utilizing high-resolution data to establish guidelines for green infrastructure’s spatial characteristics and sustainable hazard mitigation. The outcomes of this study will be helpful in the strategic planning and implementation of green infrastructure in urban areas with hazard issues.     

基于GPR-TOPSIS方法的充填配比多目标多属性优化

为获得某金矿尾砂胶结充填材料最优配比,基于试验结果,以海水比例、灰砂比和料浆质量浓度为输入参数,以充填体强度、塌落度及泌水率为输出参数,建立了充填配比与其响应量的高斯过程回归模型,分析了不同因素对充填性能的影响程度;采用遗传算法对高斯过程回归模型进行多目标参数优化,获得了Pareto非劣解,在此基础上,引入多属性决策的TOPSIS法对Pareto非劣解进行方案优选,确定了充填最优配比。研究结果表明:高斯过程回归模型相对误差值均小于6%,可靠性高;灰砂比及料浆质量浓度对充填性能影响较为显著,采用海水作为充填水源将降低充填体的强度;经优化后的充填配比与试验结果相符。