环评中锅炉房大气污染源强的确定

在环境评价中,污染源强的确定对环境影响因素评价的分析结果有重要作用。对锅炉房污染物排放的分析表明,影响锅炉房大气污染物的主要因素有燃料的构成、发热量和燃烧方式等。确定锅炉房大气污染物的方法主要有物料衡算法、实测法和经验系数法。在这三种方法中,物料衡算法被普遍采用。在确定锅炉房大气污染物的排放量时,也可以采用物料衡算法和实测法相结合的方法。     

用于煤矿安全切割的前混合磨料射流加速机理研究

前混合磨料射流具有切割各种材料无火花、所需设备压力低以及操作简单等优点,具有广泛应用井下安全切割的功能。笔者根据建立的磨料粒子运动方程,推导出具有普遍意义的匀速流场内粒子路程函数以及用数值分析法求解出粒子在喷嘴内的速度;通过理论分析和具体的数值计算,磨料最主要的加速过程是在收缩段内完成,磨料粒子从喷嘴喷出时已能高达水流速度的95 %以上,磨料粒子在离开喷嘴在射流的核心段内仍将继续得到加速;同时发现,在条件允许的情况下,喷嘴的收缩段应适当长些,喷嘴圆柱段长度为喷嘴出口直径的2 .5～3.0倍最合适。     

旅游区(点)安全评估体系初探

旅游区的安全状况越来越受到各级政府的广泛关注,规范旅游景点安全管理已成当务之急.文章以模糊数学和层次分析理论为指导构建了旅游区(点)安全评估指标体系和评价模型,评价过程考虑了影响安全等级的相关因素,并保留了各级评价的全部信息.实例采用典型的旅游景点指标数据,评价结果直观地反映了旅游区的安全状况.     

Status and fuzzy comprehensive assessment of combined heavy metal and organo-chlorine pesticide pollution in the Taihu Lake region of China

The status of combined heavy metal and organo-chlorine pesticide (OCPs; i.e. HCH and DDT) pollution was investigated and the soil environmental quality of the Taihu Lake watershed, one of the most developed regions in China, was evaluated using a fuzzy comprehensive assessment. Statistical analyses showed the presence of combined pollution in the soil. At many sampling sites, heavy metal concentrations were above corresponding background values, indicating the effects of extraneous pollutants. It has been over 20 years since China banned the use of OCPs, but they can still be found in soil samples of this region. HCH levels at all investigated sites were below the Chinese Environmental Quality Standard for Soils. Fuzzy comprehensive assessment showed that the overall soil quality in this region could be categorized as class I. Nevertheless, the high coefficients of variation for levels of DDT, Cd and Hg indicated the existence of some point-source pollution. Continuous monitoring and further studies of the region are recommended to prevent pollution of farmland from these sources.     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.     

1025t/h四角切圆煤粉炉内空气过量系数对NO生成的影响

文章采用计算流体力学软件Fluent数值模拟了1 025 t/h四角切圆煤粉炉内的湍流扩散燃烧,分析了空气过量系数对炉内烟气速度、烟气温度和氮氧化物组分的影响。结果表明:空气过量系数会对炉内流场的空气动力学特性和温度场分布均匀性产生显著影响。煤粉炉膛最佳空气过量系数为1.07,此时炉内温度场、速度场和浓度场的分布可使燃烧中间产物HCN和NH_3较好的将燃料型NO还原为N_2,来充分发挥空气分级燃烧降低NO排放的功效。     

应用数值法对井工开采对地下水预测研究——以晋城矿区赵庄煤矿为例

为了预测井工煤矿开采后地下水水位变化,及对矿区内居民水源井的影响程度,文章在详细分析赵庄煤矿区域及井田水文地质条件的基础上,运用VisualMODFLOW软件对该煤矿及周边影响范围进行了地下水流数值模拟分析,预测了赵庄煤矿开采后不同阶段地下水水位、水量及影响范围的变化,并分析了煤矿开采对当地居民饮用水源的影响,模型的识别与检验表明,所建模型能够较好地反映水文地质条件,能够与目前实际开采地下水影响相吻合。     

基于模糊数学方法的资源类企业环境绩效评价——以兰花科创为例

文章阐述了现有环境绩效计量模型的不足,分析统计了国内外有关环境绩效评价的研究成果及手册、指南和法规中高频指标,在此基础上结合环境指标和财务指标建立了资源企业环境绩效评价体系,运用层次分析法和模糊数学的方法对兰花科创进行实证研究,得出其综合评价结果为82.558分,应控制用水量和减少烟尘的排放。以期将企业为环境所作的贡献量化,促进可持续发展战略在企业的具体实践。     

城市居住区毒气扩散数值模拟

针对某居住区附近氯气储罐连续泄漏,通过求解三维不可压缩Navier-Stokes方程、K-ε湍流模型和物质浓度方程,模拟毒气在建筑物扰动条件下的扩散过程以及浓度时空分布特征,以毒气负载为基础给出近地面毒气危害区域,探讨毒气扩散对周边居民的影响。