Worshippers' exposure to particulate matter in two temples in Taiwan

Worshippers in temples may be exposed to high concentrations of pollutants emitted from incense burning. This work assessed the PM2.5 and PM10 exposures of temple worshippers in Taiwan and explored the important exposure determinants such as numbers of passing visitors and joss sticks in censers, worshipping dates, and temple characteristics. Sampling was conducted on the 1st, 2nd, 15th, and 16th of the lunar month in two temples in Taichung, Taiwan. Research staff took samples by wearing one PM2.5 and one PM10 sampler and imitating worshipping activity. Personal environmental monitors connected to personal pumps with 2-L/min flow rates were used for sampling. PM10 samples were also simultaneously taken outside the temples. The results suggested that burning joss sticks in temples is a significant PM exposure source. The geometric mean of personal exposure was 444 microg/m3 PM2.5 [geometric standard deviation (GSD) = 1.8] and 583 microg/m3 PM10 (GSD = 1.4). The latter was approximately 4-6 times that of roadside concentrations. Exposures on the 1st and 15th (with more visitors and more joss sticks) were about 130 microg/m3 PM2.5 and 249 microg/m3 PM10 higher than those on the 2nd and the 16th. Furthermore, each joss stick in the censer contributed about 0.40 microg/m3 of particles to the worshippers' exposure. In the worst case, PM exposure during one temple visit would account for 11% of the personal exposure in one day.     

关于高等学校引入低碳教育的思考

全球气候变化问题日益受到全人类的关注,国际社会加快了温室气体减排,发展低碳经济的步伐。解决气候变暖问题,发展低碳经济,实现可持续发展,必须通过低碳教育培养全民的低碳意识。大学生是传播低碳理念和实践低碳发展的生力军,提高大学生的低碳意识有利于提高全民族的低碳意识。为此,高校必然成为进行低碳教育的重要阵地。高等学校应在课程设置、学生生活实践以及学校管理等诸多方面贯彻低碳教育的理念。     

潮滩沉积物重金属污染的色度反演方法初探

为了探求快速评估土壤重金属污染的方法,以崇明岛东滩低、中、高潮滩沉积物为研究对象,用色度仪测量其色度参数(明度L*、红度a*、黄度b*),并对照化学分析数据,初步探讨了潮滩沉积物的色度特征与重金属元素(Cu、Cr、 Pb、Zn、Mn、Fe )含量之间的相关关系.同时,运用回归分析分别建立了重金属元素含量与色度参数（明度L*、红度a*、黄度b*）之间的定量关系模型,并对模型进行验证.结果表明,在崇明岛低、中、高潮滩的沉积物中,Cu、Pb、Zn与L*之间负相关,相关系数最高可达rCu=-0.97、 rPb= -0.88、 rZn=-0.98;Cu、Pb、Zn与a*之间正相关;而Cr与a*之间负相关.在河口水体中重金属含量稳定的条件下,色度信息可以定量地反演潮滩沉积物重金属元素的含量,为大范围的潮滩重金属污染研究提供了一项实用有效的辅助手段.     

回顾性环境影响评价程序及内容研究

回顾性环境影响评价是环境影响评价的一个分支,是继常规环境影响评价之后,为检验实际环境影响和减缓措施的有效性行为。其工作内容主要包括环境监测、检验与评估、环境管理及其他环境研究。它既是对原环境影响评价过程中所使用的预测模型和结果正确性的验证,又是对原工作内容进行重要的补充和修正,并提出更为合理和实用的环境保护措施及对策     

封闭式存贮塘处理采油污水的可行性研究

针对石西油田的区域特点,从工程设计、气象、地质、投资等多方面对该地区利用封闭式存贮塘处理采油的可行性进行了分析研究,提出该法可作为相似地区油田采油废水处理方法借鉴的观点      

Multiple-pattern parameter identification and uncertainty analysis approach for water quality modeling

This paper presents a multiple-pattern parameter identification and uncertainty analysis approach for robust water quality modeling using a neural network (NN) embedded genetic algorithm (GA). The modeling approach uses an adaptive NN–GA framework to inversely solve the governing equations in a water quality model for multiple parameter patterns, along with an alternating fitness method to maintain solution diversity. The procedure was demonstrated through a coupled 2D hydrodynamic and eutrophication model for Loch Raven Reservoir in Maryland. The inverse problem was formulated as a nonlinear optimization problem minimizing the degree of misfit (DOM) between model results and observed data. A set of NN models was developed to approximate the input-output response relationship of the Loch Raven Reservoir model and was incorporated into a GA framework in an adaptive fashion to search for near-optimal solutions minimizing the DOM. The numerical example showed that the adaptive NN–GA approach is capable of identifying multiple parameter patterns that reproduce the observed data equally well. The resulting parameter patterns were incorporated into the numerical model, and a multiple-pattern robust water quality modeling analysis, along with a compound margin of safety (CMOS) method, was proposed and applied to analyze the parameter pattern uncertainty.     

深度氧化技术处理有机废水的研究进展

利用深度氧化技术处理有机废水是目前国内外废水处理的新技术,在美国和欧洲等发达国家,该技术已应用于各种废水和饮用水处理过程。针对我国石油、石化企业在外排废水中所含有毒有害有机物质大多难以降解的特点,经过调研,详细介绍了深度氧化技术处理有机废水的研究进展,并着重探讨了在光催化氧化技术、超声降解技术、超临界水氧化技术、湿式氧化技术等方面所做的工作及深度氧化过程除去水中有机污染物的原理。     

TiO2-PTFE光催化膜的制备及性能

以聚四氟乙烯（PTFE）乳液和纳米TiO2粉末为原料,采用无水乙醇为溶剂,经辊压后与不锈钢网结合,制备了多孔固定化TiO2-PTFE光催化膜。膜性能研究结果表明,m（TiO2）：m（PTFE）=4时,光催化反应处理质量浓度为20mg／L的苯甲酸溶液,2h内TOC去除率高达81．3％。通过扫描电子显微镜观察,TiO2-PTFE光催化膜表面平整,且孔隙分布均匀。TiO2最佳负载量为15mg／cm2。在优化反应条件下同悬浮态TiO2光催化反应体系相比,TiO2-PTFE光催化膜对光源有更高的利用率,表现出更佳的催化活性。     

超声-臭氧氧化处理硝基苯废水实验研究

在实验装置上对超声-臭氧氧化处理硝基苯废水进行了实验研究，主要考察了废水初始pH值、反应时间，臭氧通入量、超声功率等因素对硝基苯去除率的影响，实验结果表明，超声辐射可以在臭氧氧化过程中起加速反应的作用，而且随着超声功率的增大，加速反应的能力增强；废水初始pH值为11时硝基苯去除效果最佳；随着臭氧通入量的增大，反应时间的延长，硝基苯去除率不断增大；超声-臭氧处理硝基苯废水过程中硝基苯的降解规律为表现一级反应。     

OPTIMUM STORAGE VOLUME OF ROOFTOP RAIN WATER HARVESTING SYSTEMS FOR DOMESTIC USE1

ABSTRACT: Major parameters and optimum storage volumes of rooftop rain water harvesting systems (RRWHSs) have not been investigated in detail in Taiwan. Accordingly, the four major parameters of RRWHSs were herein identified and elucidated using a simulation method. Because the performance of the RRWHSs is sensitive to the runoff coefficient, a field experiment was conducted to determine the runoff coefficient more precisely for various types of roofs. A simulation model including production theory was developed and employed to estimate the most cost effective combination of the roof area and the storage capacity that best supplies a specific volume of water. Consequently, the expansion path of optimum solutions for different volumetric reliability of water supply can be determined. Additionally, the method based on the marginal rate of substitution can be used for determining the rational volumetric reliability. The procedures developed herein constitute an effective tool for preliminarily estimating the most satisfactory storage capacity of any specific roof area and for determining the rational reliability of a corresponding water supply.