Using chemical process simulation to design industrial ecosystems

Chemical process simulation (CPS) software has been widely used by chemical (process) engineers to design, test, optimise, and integrate process plants. It is expected that industrial ecologists to bring these same problem-solving benefits to the design and operation of industrial ecosystems can use CPS. This paper provides industrial ecology researchers and practitioners with an introduction to CPS and an overview of chemical engineering design principles. The paper highlights recent research showing that CPS can be used to model industrial ecosystems, and discusses the benefits of using CPS to address some of the technical challenges facing companies participating in an industrial ecosystem. CPS can be used to (i) quantitatively evaluate and compare the potential environmental and financial benefits of material and energy linkages; (ii) solve general design, retrofit, or operational problems; (iii) help to identify complex and often counter-intuitive solutions; and (iv) evaluate what-if scenarios. CPS should be a useful addition to the industrial ecology toolbox.     

上海市工业固体废物处理处置现状分析

详细分析了上海市一般工业固体废物及工业危险废物的产生及处理处置现状,提出:一般工业固废主要以资源化利用为主,危废处置企业实行末位淘汰,实现清洁生产;加强国家提倡的"三位一体"综合处理项目建设,实现集中处理、集中监管,降低运营成本;加强工业危废产生企业申报登记及转移的网络信息化管理,杜绝监管盲区。     

创新应对重大环境事件思维推动环保战略转型

本文系环境保护部原总工程师、中国环境科学学会副理事长杨朝飞在“2013年全国环境政策法制工作研讨会”上做的关于我国如何应对重大环境事件专题讲座内容整理,以飨读者.     

煤烟型大气污染解决方法

重点介绍了新型燃煤工艺——水平火焰无烟工业炉及其特点，并提出排烟尾气处理的资源化方案。     

城市工业小区噪声现状评价与防治对策研究

对上海工业街坊固定和流动噪声的主要变化和声源强度进行调查和测试，应用ＰＮＩ噪声指数和等级评价方法对该城市工业记噪声进行评价。用数学方法对典型小区和大部分工业街坊的职工和居民的职业病和健康进行分析，并提出减少噪声伤害的若干对策。     

The Spanish building crisis and its effect in the gypsum quarry production (1998–2012)

Gypsum is one of the most important mined mineral commodities of the world. As an industrial rock, it is primarily used by the construction industry. Therefore, the economics of the gypsum market can be correlated with parameters that have controlled the origin and development of the Spanish building bubble between years 1998 and 2006. The burst of this building bubble has been interpreted as the main triggering factor for Spain's current crisis.     

工业园区低碳发展模式评估与规划分析

通过对工业园区低碳发展模式的评估,分析其低碳发展的能源特征、经济特征与人力特征,并确定工业园区二氧化碳减排的潜力能源。基于能源-碳减排(EC)、经济-能源-碳减排(EEC)和人力-经济-能源-碳减排(HEEC)三种不同情景,在未来发展的一定规划期内,对工业园区具有二氧化碳减排潜力的能源进行规划分析,确定其年递减率,从而实现工业园区不同情景下的二氧化碳减排。通过实际案例研究,证明了评估与规划分析模型的可行性。     

An algorithm for assessing the risk of traffic accident

INTRODUCTION: This study is aimed at developing an algorithm to estimate the number of traffic accidents and assess the risk of traffic accidents in a study area. METHOD: The algorithm involves a combination of mapping technique (Geographical Information System (GIS) techniques) and statistical methods (cluster analysis and regression analysis). Geographical Information System is used to locate accidents on a digital map and realize their distribution. Cluster analysis is used to group the homogeneous data together. Regression analysis is performed to realize the relation between the number of accident events and the potential causal factors. Negative binomial regression model is found to be an appropriate mathematical form to mimic this relation. Accident risk of the area, derived from historical accident records and causal factors, is also determined in the algorithm. The risk is computed using the Empirical Bayes (EB) approach. A case study of Hong Kong is presented to illustrate the effectiveness of the proposed algorithm. RESULTS: The results show that the algorithm improves accident risk estimation when comparing to the estimated risk based on only the historical accident records. The algorithm is found to be more efficient, especially in the case of fatality and pedestrian-related accident analysis. IMPACT ON INDUSTRY: The output of the proposed algorithm can help authorities effectively identify areas with high accident risk. In addition, it can serve as a reference for town planners considering road safety.     

Aggressive behavior while driving as predictor of self-reported car crashes

PROBLEM: In Greece, there is a lack of scientific evidence on the relationship between aggressive behavior while driving and young drivers' involvement in car crashes; this study examined this potential relationship. METHODS: The randomly selected samples of 356 young drivers (18-24 years old) were interviewed through a questionnaire of self-reported car crash involvement, which mainly focused on their behavior on the road and the number of car crashes in which they had been involved. RESULTS: The statistical methods used were principal components analysis (PCA) and multiple regression analysis. Two factors relevant to aggressive driving emerged: (a) driving violations and (b) irritability while driving. The multivariate model suggested that driving just for fun (joyriding) and irritability were predictors of young drivers' involvement in car crashes. It was found that younger age was negatively associated with young drivers' involvement in car crashes. IMPACT ON GOVERNMENT AND INDUSTRY: The findings of this study can contribute in the formation of public policies aiming to prevent young drivers' car crashes. These findings can also be the starting point of some health promotion interventions trying to reduce car crashes and casualties on the road. Finally, the insurance companies may be interested in applying these findings into their field of interest.     

基于鱼骨图和层次分析法的石油静电事故影响因素分析

针对石油静电事故影响因素的复杂性、多层次性和不确定性的特点,采用鱼骨图分析法,找出了引发石油静电事故的影响因素,确定出6个主因素、25个子因素的石油静电事故评价指标体系。应用层次分析法确定了各个影响因素的重要程度,分析出导致石油静电事故的重要因素。结果表明,6个主因素中,隶属于生产操作工艺和安全生产管理的操作错误、人体静电和接地故障3个主因素权重之和高达0.792,是引发石油静电事故的主导因素;子因素中预防的重点应放在喷溅式装卸油、化纤品与人体摩擦和接地线损坏方面。鱼骨图分析法和层次分析法的联合应用,合理地解决了石油静电事故影响因素分析难题,具有一定的推广应用价值。