PLS-based EWMA fault detection strategy for process monitoring

Fault detection (FD) and diagnosis in industrial processes is essential to ensure process safety and maintain product quality. Partial least squares (PLS) has been used successfully in process monitoring because it can effectively deal with highly correlated process variables. However, the conventional PLS-based detection metrics, such as the Hotelling's T² and the Q statistics are ill suited to detect small faults because they only use information from the most recent observations. Other univariate statistical monitoring methods, such as the exponentially weighted moving average (EWMA) control scheme, has shown better abilities to detect small faults. However, EWMA can only be used to monitor single variables. Therefore, the main objective of this paper is to combine the advantages of the univariate EWMA and PLS methods to enhance their performances and widen their applicability in practice. The performance of the proposed PLS-based EWMA FD method was compared with that of the conventional PLS FD method through two simulated examples, one using synthetic data and the other using simulated distillation column data. The simulation results clearly show the effectiveness of the proposed method over the conventional PLS, especially in the presence of faults with small magnitudes.     

Health and environmental assessment of mercury exposure in a gold mining community in Western Mindanao, Philippines

The small-scale gold mining activities using mercury began in the late 1980s in Sibutad, Western Mindanao. It is located very near the Murcielagos Bay with tailing ponds directly discharging into bodies of water. This cross-sectional study aimed to determine the health and environmental effects of gold mining activities on the community. Residents were randomly selected and classified into two groups, namely, the directly exposed and indirectly exposed populations using a set inclusion criteria. Complete medical and laboratory examinations were performed. Environmental and biologic samples were collected for total mercury and methylmercury determinations. The results showed that the directly exposed group had significantly higher mean blood total mercury and methylmercury levels in comparison with the indirectly exposed population. Although there were no significant differences between hair total mercury and methylmercury levels, there was a trend for higher levels of these biomarkers among the directly exposed residents as compared with the unexposed group. The absence of statistically significant differences may be attributable to the small sample size. Ambient air quality monitoring for mercury exceeded the allowable levels. However, levels of mercury in drinking water and sediments were within allowable limits. Frequency of gastrointestinal complaints was significantly associated with elevated hair methylmercury levels (p=0.02). Also, there appears to be a trend towards higher blood total mercury levels and frequency of gastrointestinal complaints (p=0.09). An interesting finding in this study was the increasing incidence of elevated diastolic blood pressure with elevated hair total mercury levels (p=0.07). Mercury storage at home is a risk factor.     

Effect of an industrial discharge on water quality and periphyton structure in a pampeam stream

Seasonal sampling was carried out at four sites on a pampeanstream that receives industrial effluent from two textile factories. To evaluate water quality, several physical and chemical parameters were examined and the periphyton growing oncattail (Typha latifolia L.) were analyzed.Water quality and periphyton structure differed significantlybetween sites upstream and downstream of the discharge. Differences in temperature and also in concentrations of phosphate, dissolved oxygen, and phaeopigment were detected. At the same time, changes in the dominant algae groups wereobserved. Downstream of the industrial discharge, the numberof Bacillariophyta decreased, while species of Cianophyta andEuglenophyta were more abundant. This abundance correlated withincreased phosphate and organic matter content and decreased oxygen concentration. Although this study did not detect a reduction in the number of species, similarity between stands decreased downstream of the industrial discharge. Changes incommunity structure were readily detected in this situation because the communities of the polluted and unpolluted zones were qualitatively different. Periphyton growing naturally on Typha latifolia is a useful indicator of the impact of waste waters on the biota and can also be used to evaluate water body recovery.     

Using environmental stressor information to predict the ecological status of Maryland non-tidal streams as measured by biological indicators

In Maryland, U.S., an interim framework has recentlybeen developed for using biologically based thresholds, or `biocriteria', to assess the health of nontidal streams statewide at watershed scales. The evaluation of impairment is based on indices of biological integrity from the Maryland Biological Stream Survey (MBSS). We applied logistic regression to quantify how the biotic integrity of streams at a local scale is affected by cumulative effects resulting from catchment land uses, point sources, and nearby transmission line rights-of-way. Indicators for land use were developed from the remote sensing National Land Cover Data and applied at different scales. We determined that the risk of local impairment in nontidal streams rapidly increases with increased urban land use in the catchment area. The average likelihood of failing biocriteria doubled with every 10% points increment in urban land, thus an increase in urban land use from 0 to 20% quadruples the risk of impairment. For the basins evaluated in this study, catchments with more than 40–50% urban land use had greater than 80% probability of failing biocriteria, on average. Inclusion of rights-of-way and point sources in the model did not significantly improve the fit for this data set, most likely because of their low numbers. The overall results indicate that our predictive modeling approach can help pinpoint stream ecosystems experiencing or vulnerable to degradation.     

浅谈小型餐饮服务业排污申报登记

简述了小型餐饮服务业的特点，指出排污申报登记制度落实难、废水中各污染物排放量核定难及申报登记表设计欠合理是小型餐饮服务业在排污申报登记中存在的主要问题。提出，应加大宣传力度，进一步提高餐饮服务业业主以及广大公民的环保意识；制定较合理的排污量核算系数，修订申报内容；实行《排污申报登记注册证》制度，强化执法力度，以促进小型餐饮服务业全面实施排污申报登记制度。     

煤气化技术的前景

介绍了“煤气化──无烟燃烧技术”及其在小型工业锅上的应用，为解决我国煤烟型大气污染问题提供了一种全新的办法。     

生态农业发展与小城镇建设

以3家生态村为例说明乡镇企业在生态农业产值中占据主导地位。通过对乡镇企业的经济效益、环境效益和社会效益以及小城镇发展的优越性分析可知，乡镇企业不宜在农村发展，应该在小城镇中发展，农村生态建设要立足农业，通过减少土地的人口承载量，提高劳动生产率和增加农民收入。     

钢渣湿法脱硫试验研究

以某厂钢渣为吸收剂,以旋流板塔为吸收器,对湿法脱硫进行了试验研究。通过分析钢渣脱硫前后的化学成分变化,以及试验脱硫率随反应过程的变化,提出了钢渣湿法脱硫的反应机理。同时,试验研究了液气比、进气SO_2浓度、浆液浓度等主要参数对脱硫率的影响,以及加添加剂的效果。试验结果表明,通过合理的设计和适当的操作,可使钢渣湿法应用于中低脱硫率(50％～70％)的场合,以取得综合治理、以废治废的效果。     

小型污水处理装置的应用与发展

简要论述了小型污水处理装置的作用，对目前市场上该类产品的应用现状进行了分析，并提出其发展方向。     

小型污水处理工艺及其应用展望

小型沁水处理设施作为投资省见效快的方法对我国今后污水厂建设具有重要指导意义，需要给予更多的关注，文中探讨了小型污水处理工艺的类型及其应用，并对我国小型污水处理厂的建设谈了几点看法。