中国经济增长对碳排放的影响分析

通过相关分析探讨了中国国内生产总值(GDP)的增长与碳排放量的关系.结果表明,二者有明显的相关性(R2＝0.958 1).进一步研究认为,由于中国投资率在35%～40%以上,且工业增加值占GDP的比重超过50%,因此中国过分依赖投资的经济增长方式和以第二产业(工业)为主的经济结构在很大程度上是导致温室气体排放量增加的主要原因.未来在全球化背景下,经济增长可转变为更多地依靠科技创新、技术进步和制度的改进,因此,调整经济增长方式和产业结构,可以在保持发展经济的同时,使碳排放强度呈逐渐下降的趋势.     

地震灾害紧急救援可支配交通链路选择研究

如何通过科学的算法提前获取决定路网通达性的关键链路,即可支配链路,从而可通过各方面养护措施提高可支配链路的抗震能力,保证震后救援运输的顺利进行。提出可支配链路的相关概念,基于矩阵结构的计算方法与原理,并应用算例进行验证。通过选取云南省保山市隆阳区的部分目标区域来进行震后救援路网的支配性链路计算,同时针对地震发生后的特点,综合考虑医疗救援、火灾救援及紧急物资救援3方面的综合救援需求,获得该区域路网的可支配链路。研究结果表明:结合震后实际救援需求,将需求点扩展为多个需求点,能够进一步获得在多个需求点基础上的可支配链路。因此,利用矩阵结构获得可支配链路的方法,能够综合需求点数量和概率临界值的进一步调整,进一步优化计算结果。     

二氧化硫体内衍生物对小鼠的显性致死作用

采用二氧化硫(SO2)衍生物亚硫酸钠和亚硫酸氢钠(二者的物质的量之比为3:1)腹腔注射的方法,研究其对雄性小鼠生殖细胞的遗传毒性.结果表明,雄鼠经SO2衍生物染毒后再与雌鼠交配,导致:(1)雌鼠受孕率下降,显性致死率增高,且均有明确的剂量-效应关系;(2)胚胎生长迟缓,活胎平均重量下降.研究得出结论:SO2及其衍生物对雄性小鼠有生殖毒性作用.表2参14     

南京地区农业资源的综合评价研究

客观、准确地评价地区农业资源,对于农业资源的开发和利用具有重要意义。本文从系统论观点出发,将地区农业资源分成自然资源和社会资源,在能够较好地反映系统结构特征、不同样点差异及满足易于收集、便于数量表示和定量处理等基本要求的基础上,选择了若干评价指标。利用综合指数法、区位商法等评价方法,对南京地区的主要农业资源（土地资源、气候资源与社会资源）进行了定量分析,并在此基础上,利用资源优势度分析法进行了综合评价。结果表明,南部小区的农业资源具有整体优势,南部和中部的资源利用较为合理,北部小区则具有较为丰富的后备资源。最后,根据各地资源要素的不同组合,简要给出了较适宜的开发途径,为该地农业资源的进一步开发与利用提供了依据。     

生物因子控制反冲洗对BEAC滤池优势菌稳定性影响研究

针对用于生物增强活性炭工艺(BEAC)中的6株优势菌,利用生物因子研究反冲洗对优势菌群在活性炭表面稳定性的影响,确定适合的反冲洗方式及强度.中试试验表明,气冲强度对BEAC生物膜的影响作用要比水冲洗大,通过比较反冲洗前后优势菌群生物量,确定BEAC滤池启动期采用单独水反冲洗,稳定期采用气水联合反冲洗,优势菌群在活性炭表面的平均生物损失量为15.47%;利用生物量和生物活性的乘积(生物需氧量,BRP)确定最佳反冲洗气强度为8～10 L/(m~2·s),反冲洗前后的生物量和生物活性变化最小;扫描电镜和PCR-DGGE图片结果表明,启动期采用气水联合反冲洗导致优势菌数量减少,稳定期采用气水联合反冲洗可保持优势菌的稳定性,反冲洗前后优势菌在活性炭表面数量变化较小.     

Performance evaluation of process industries resilience: Risk-based with a network approach

Risk management can be defined as coordinated activities to conduct and control an organization with consideration of risk. Recently, risk management strategies have been developed to change the approach to hazards and risks. Resilience as a safety management theory considers the technical and social aspects of systems simultaneously. Resilience in process industries, as a socio-technical system, has four aspects of early detection, error-tolerant design, flexibility, and recoverability. Meanwhile, process industries' resilience has three phases: avoidance, survival, and recovery, determining the transition between normal state, process upset event, and catastrophic event. There may be various technical and social failures such as regulatory and human or organizational items that can lead to upset or catastrophic events. In the avoidance phase, the upset event is predicted, and thus, the system remains in a normal state. For the survival phase, the system state is assumed to be an upset process event, and the system tries to survive through the unhealthy process conditions or remains in the same state, probably with low performance. In the recovery phase, the system is supposed to be catastrophic, and the emergency barriers are prioritized to show the severity of the consequences and response time, leading to a resumption of a normal state. Therefore, a resilience-based network can be designed for process industries to show its inherent dynamic transition in nature. In this study, network data envelopment analysis (DEA), as a mathematical model, is used to evaluate the relative efficiency of the process industries regarding a network transition approach based on the system's internal structure. First, a resilience-based network is designed to consist of three states of normal, upset, and catastrophic events. Then, the efficiency of each industrial department, which is defined as decision-making units (DMUs), is evaluated using network DEA. As a case study, a refinery that is considered a critical process industry is assessed. Using the proposed model shows the efficient and inefficient DMUs in each of three states of normal, upset, and catastrophic events of the process and the projection onto efficient frontiers. Besides calculating the network efficiency, the performance of each state is extracted to precisely differentiate between DMUs. The results of this study, which is one of the fewest cases in the area of performance evaluation of process industries with a network approach, indicated a robust viewpoint for monitoring and assessment of risks.     

Presence of scapular dysfunction in dominant shoulder of professional guitar players

Background. Playing guitar can cause adoption of asymmetric postures and affect the shoulder's stability. Objective. To assess the presence of scapular dysfunction in professional guitar players. Method. A lateral scapular slide test was performed at the level of the spine of the scapula and at the inferior angle of the scapula in 20 professional guitar players (age: 18–40 years) and was compared with 20 age-matched non-players at angles of 0°, 45° and 90° of shoulder abduction with both limbs loaded with 0.5-kg weights. Analysis was done by unpaired t test. Results. Scapular dysfunction in guitar players was seen in the form of asymmetric scapula at rest in 25% and dyskinetic scapula in 20% of players. 100% of non-players had normal scapular positioning. Comparison at the level of the spine of the scapula showed no significant difference (p?>?0.05), but the inferior angle showed a significant difference at 0° (1.37?cm), 45° (1.93?cm) and 90° (2.15?cm) which was more in the player's category (p?Conclusion. There exists a marked dysfunction of scapular stabilizers in professional guitar players at the level of the inferior angle of the scapula.     

投菌生物接触氧化法处理洁霉素废水的机理研究

研究了“水解酸化－二段生物接触氧化－混凝”工艺处理高浓度洁霉素废水处理系统中好氧微生物膜特性,分布规律、降解作用,高效降解菌的选育,投加菌在反应器中能否保持优势等问题,以探讨用投菌生物接触氧化法处理洁霉素废水的机理,对本系统好氧微生物膜进行后仍存于反应器中并占有优势,最优势菌株经鉴定属气单胞菌属、通过对中试好氧处理出水进行定性定量分析,寻找其引起剩余ＣＯＤｃｒ值的原因。     

高浓度油脂废水的微生物净化处理技术浅析

在简要介绍目前含有高浓度油脂废水的产生和排放现状之后,总结分析了最近几年来一些具有一定代表性的生物处理方法的研究成果,同时提出了今后油脂废水处理技术的一点建议。