锅炉环境影响评价系统软件研究

用Ｃ语言作为开发语言，研制开发了锅炉环境影响评价系统软件，软件充分利用Ｃ语言模块化，过程化的优点，源程序由１２个模块组成。经编译连接生成一个可执行程序，用户只需输入１５个必需的原始参数，软件即可自动查询，计算大量的中间参数，并立即给出污染源强及污染物在周围环境中分布的预测和评价结果。     

Risk-Based Prioritization of Air Pollution Monitoring Using Fuzzy Synthetic Evaluation Technique

Air pollution monitoring programs aim to monitor pollutants and their probable adverse effects at various locations over concerned area. Either sensitivity of receptors/location or concentration of pollutants is used for prioritizing the monitoring locations. The exposure-based approach prioritizes the monitoring locations based on population density and/or location sensitivity. The hazard-based approach prioritizes the monitoring locations using intensity (concentrations) of air pollutants at various locations. Exposure and hazard-based approaches focus on frequency (probability of occurrence) and potential hazard (consequence of damage), respectively. Adverse effects should be measured only if receptors are exposed to these air pollutants. The existing methods of monitoring location prioritization do not consider both factors (hazard and exposure) at a time. Towards this, a risk-based approach has been proposed which combines both factors: exposure frequency (probability of occurrence/exposure) and potential hazard (consequence).This paper discusses the use of fuzzy synthetic evaluation technique in risk computation and prioritization of air pollution monitoring locations. To demonstrate the application, common air pollutants like CO, NO_x, PM₁₀ and SO_x are used as hazard parameters. Fuzzy evaluation matrices for hazard parameters are established for different locations in the area. Similarly, fuzzy evaluation matrices for exposure parameters: population density, location and population sensitivity are also developed. Subsequently, fuzzy risk is determined at these locations using fuzzy compositional rules. Finally, these locations are prioritized based on defuzzified risk (crisp value of risk, defined as risk score) and the five most important monitoring locations are identified (out of 35 potential locations). These locations differ from the existing monitoring locations.     

汉江水质评价的化学计量学研究

运用因子分析法对汉江各主要水质断面进行水质因子分析及综合评价,通过各主因子的方差贡献及因子得分得出各水质因子的赋权值,从而对所取断面进行水质污染程度的综合评价、分析与排序。同时运用聚类分析法对汉江17个断面的水质污染相似性进行分析,给出分类处理结果。     

用灰色聚类法对荔湾湖水质富营养化程度的评价

灰色聚类法把湖泊系统当作一个灰色系统来研究,将灰色聚类理论应用于湖泊富营养化程度的评价中,以广州市荔湾湖为例,建立不同的聚类指标所拥有的隶属函数,确定聚类权重值,求得最大聚类系数及聚类结果,得出用灰色聚类法进行湖泊水质富营养化评价,既能体现水质等级界线的模糊性,又能充分利用信息,避免了模糊数学法的不合理之处。因而,灰色聚类法是一种简便、客观、可靠的方法。     

B-P网络应用于地下水水质监测点优选

以地下水水质评价分级标准作为训练样本,构造B-P网络模型对其进行训练,用训练好的B-P网络对某地的地下水水质监测点进行评判、优选。并与其它方法的结果进行比较,结果表明,B-P网络用于环境测点优选不仅原理直观,而且具有较好的客观性和实用性。     

低浓度石油类监测与评价的问题探讨

分析表明,当地表水中石油类浓度很低时,受多方面因素影响,其监测结果的准确性和评价结论的可靠性会下降,应选用合适的监测方法,同时要注意引入污染问题。     

亚甲蓝分光光度法测定饮用水中阴离子表面活性剂的方法讨论

用10ml氯仿萃取离子缔合物一次,洗涤一次,不稀释。它与国标方法的线性回归无显著性差异,此方案测定样品的准确度En为0·34,小于1,结果令人满意,测量不确定度是除国标方法外最低的方案。因此它具有低污染、操作简单的特点,并可用于常规检测饮用水中的LAS。     

关于模糊数学在环境质量综合评判中“最大隶属度”原则不适用性的讨论

通过对模糊数学在环境质量综合评判中的分析，指出“最大隶属度”原则的不适用性，并根据环境质量分级所存在的固有关系提出改进的方法。     

Euclidean贴近度水质评价法及其应用

分析了模糊综合评判在水质评价中的缺陷,将模糊数学中的贴近度与经典的Euclidean距离结合,提出Euclidean贴近度水质评价法。结果表明,该评价方法具有科学性、合理性,并且精度高,简单实用。     

酸雨研究的现状和发展趋势

介绍了酸雨的起因和目前国内外开展的 1 1个研究领域 ,叙述了各个领域的研究现状和发展趋势 ,指出要解决酸雨问题 ,应通过对酸性污染物的排放、迁移扩散、转化、沉降、对水及陆地生态系统的影响等基础研究和信息 ,制定出控制污染源的排放、节能及生态恢复对策