水泥厂煤粉制备系统袋除尘器的选型及应用

本文介绍了煤粉制备系统含尘废气的特性及治理技术的发展与应用,并从袋除尘器类型的确定、处理风量的确定、过滤风速的选取、过滤面积的计算和除尘器规格的选取等方面介绍了煤磨袋除尘器的选型,以及FGM（M）型气箱脉冲防爆袋除尘器、MMC型脉冲喷吹防爆袋除尘器和LPMC型低阻高效防爆袋除尘器在煤粉制备系统除尘中的应用推广情况。     

油页岩发电项目2×210MW机组除尘器选型

广东粤电油页岩发电项目2×210MW机组CFB锅炉燃用茂名本地油页岩,除尘设备在可研和初步设计时均选用双室5电场高效静电除尘器,在烟气脱硫工程招标文件审查时发现脱硫装置入口烟尘浓度偏高,不能满足烟气脱硫装置要求,故重新对除尘器进行了调研、分析、选型。     

海底可燃冰开发环境风险多元共治之论证与路径展开

有效规制海底可燃冰开发伴生的多种类型生态环境风险,是保障可燃冰产业健康发展的内在需求。本文的主要目的即在中国现行法律体系规定的多元共治的环境法治理念和制度框架下,研究海底可燃冰开发环境风险多元共治的理论基础、现实必要性及其制度路径。文章主要运用类型化方法来梳理与归纳海底可燃冰开发引致环境风险的具体类型;运用理论分析与价值分析方法,论证海底可燃冰开发环境风险多元共治的必要性;运用法教义学分析、比较分析与系统分析方法,检视与剖析我国传统行政管制模式下的制度体系在规制海底可燃冰开发环境风险中的绩效与利弊,归纳与展开海底可燃冰开发环境风险多元共治的制度路径。本文的基本结论是,传统环境管制模式难以有效治理海底可燃冰开发引致的新型环境风险,当前我国所创新的环境多元共治模式,可以矫正政府单维管制海底可燃冰开发环境风险中的缺陷、弥补"监管之法"在规制海底可燃冰开发环境风险中的疏漏、克服单一行政命令方式在规制海底可燃冰开发环境风险中的困境,系统构建海底可燃冰开发环境风险多元治理体系。在完善行政监管和推进私人治理两个层面对海底可燃冰开发环境风险多元共治的基础上提出具体建议。在完善行政监管层面,我国《环境保护法》《海洋环境保护法》等法律规范经过拓展解释适用,仍然因为规制路径的间接性、零散性而产生内生弊端,亟待专门立法;在推进私人治理层面,多元共治机制分为多元主体参与机制与诉讼机制,应重视通过鼓励环保公益组织、可燃冰行业协会与私人等多元主体采取多元参与和私益诉讼方式,以发挥其在规制海底可燃冰开发环境风险中的综合效用。     

不同暴露途径下有机污染物对大鼠急性毒性的相关性研究

不同暴露途径下有机物在生物体内的吸收分布不同,导致毒性效应亦不同,研究化学品在不同暴露途径下对生物体的毒性,对化学品的安全性评价有实际意义。本文通过研究静脉注射、腹腔注射、肌肉注射与经口灌胃4种暴露途径下527个有机物对大鼠的急性毒性数据相关性,比较了不同暴露途径下大鼠对有机污染物的敏感度顺序,结果为:静脉注射>腹腔注射>肌肉注射>经口灌胃途径,静脉注射途径下log1/LD50与其他几种注射途径下的log1/LD50有较显著的相关性,但是与灌胃途径下毒性值之间的相关性较差,相关系数r的范围为0.82~0.97。通过逐项分析研究不同暴露途径下化合物对大鼠的急性毒性与生物利用度、吸收速率、消除速率以及代谢过程的关系,结果表明,导致这种差异的原因主要是有机污染物在大鼠体内的吸附动力学过程不同所致。     

Evaluation of effects of exposure time on aquatic toxicity with zooplanktons using a reduced life expectancy model

Traditionally in toxicological studies time is not studied as quantifiable variable but as a fixed endpoint. The Reduced Life Expectancy (RLE) model which relates exposure time and exposure concentration with lethal toxic effects was tested previously using fish data. In this current paper the effects of exposure time on aquatic toxicity with zooplanktons and various toxicants were evaluated using the RLE model based on ambient exposure concentration. The model was evaluated by plotting ln LT₅₀ against LC₅₀ using toxicity data with zooplanktons from the literature for metal, metalloid and organic compounds. Most of the experimental data sets can be satisfactorily correlated by use of the RLE model, but deviations occurred for some data sets. Those data sets were satisfactorily fitted by a two stage RLE model. This model was based on two phases: one in the peripheral system and other in the central system. Both the single and two stage RLE model support the hypothesis that toxicity is time dependent and decreases in a systematic way with increasing exposure time. A calculated normal life expectancy (NLT) can be obtained from the single stage model and is in accord with reported NLT but those obtained from the two stage RLE model are in excellent agreement.     

铁及铁铜氧化物对臭氧氧化酸性红B的催化效能

采用自蔓延溶胶凝胶法分别制备了铁氧化物和铁铜复合氧化物催化剂,以酸性红B为降解对象,对比了单独臭氧氧化、铁氧化物和铁铜复合氧化物催化臭氧氧化对酸性红B的降解效果,考察了磁力搅拌速度(500～1 640 r/min)、溶液pH(3～11)、臭氧投加速率(3.55～28.4 mg/min)对铁铜复合氧化物催化性能的影响。结果表明,与单独臭氧氧化比较,铁氧化物和铁铜复合氧化物均能加速酸性红B的降解,促进色度和COD的去除,结合催化剂的表征结果,推断催化剂表面羟基促进臭氧分解产生.OH是其氧化性能较好的主要原因,另外,催化剂的吸附能力对催化性能也有一定影响。随着磁力搅拌速度、溶液pH、臭氧投加速率的增大,铁铜复合氧化物催化臭氧氧化酸性红B的效果越好。     

基于PROMETHEEⅡ法的污染场地土壤修复技术筛选及应用

依据当前污染场地土壤修复技术特点以及场地特征,构建4层12指标21方案的污染土壤修复技术决策分析结构,运用多属性决策分析方法——PROMETHEEⅡ偏好排序法,对当前场地修复技术以及典型场地条件进行了客观分析和综合评价,实现基于具体修复目标的污染场地土壤修复技术择优筛选,并采用该方法对虚拟特定污染场地的土壤修复技术筛选进行了实例应用。这为污染场地的治理和修复提供了方法依据和理论参考。     

全球低碳发展评估及中国低碳发展的实现路径

低碳发展日益成为国际关注的热点问题,中国正处在快速工业化和城镇化进程当中,通过低碳发展实现经济社会转型尤为迫切。在全球大背景下正确判断中国的低碳发展水平,汲取各国有益的低碳发展经验,寻求适合中国的低碳发展路径尤为重要。从低碳发展特征指标变动出发,通过统计分析,得出全球低碳发展历史和现状水平,以及中国所处的位置。研究表明,近20年来全球碳生产力水平不断提高,近年来中国的碳生产力水平飞速提升,但是中国的碳生产力仍然远远低于全球平均水平,离先进国家的差距更大,不足法国的1/10,人均二氧化碳排放增速位居世界前列,减排压力巨大。因此,结合国内外实践经验,总结了中国低碳发展的5个实现路径,分别是调整能源结构、发展低碳产业、倡导低碳消费、建设低碳城市和加强碳汇建设。     

Comparison of models of simazine transport and fate in the subsurface environment in a citrus farm

Contamination of groundwater by agrochemicals is now widely recognized as an extremely important environmental problem. Modern agricultural practices involve the combined use of irrigation with the application of large amounts of agrochemicals to maximize crop yield. Due to flood irrigation and natural runoff, agricultural activities might generate soil, surface water and groundwater contamination problems and leaching of pesticides. Modeling of the transport and fate of pesticides, such as simazine, may help understand the long-term potential risk to the subsurface environment. This paper illustrates a comparative study via the use of three different pesticide transport simulation models and the applicability of those models in determining the groundwater vulnerability to pesticides contamination in a citrus orchard located at the Lower Rio Grande Valley (LRGV). The three models used in the study are the pesticide root zone model-3 (PRZM-3), the pesticide analytical model (PESTAN) and integrated pesticide transport modeling (IPTM). The concentration values obtained from all three models are in agreement, and they show a decreasing trend from the surface through the vadose zone. The problem is how to use this information and, specifically, how to combine the testimony of a number of experts into a single useful judgment. With the aid of the fuzzy multiattribute decision making method, PRZM-3 is deemed as the most promising one for such precision farming applications.     

Use of Scale Invariance in Evaluating Judgement Indicators

Indicators are used to draw conclusions about ecological endpoints when these endpoints cannot be measured directly. In many cases, inferences about an endpoint are only possible because assumptions have been made about the relationship between indicator and endpoint; we refer to such indicators as judgement indicators. The validity of inferences made using a judgement indicator can be gauged by examining the known or assumed form of the general relationship between indicator and endpoint. The rules for this kind of inference are a consequence of scale invariance, which originates from measurement theory. For simple indicators comprised of a single indicator measurement, the inferences allowed – equivalence, rank, equality of intervals, and equality of ratios – depend on whether the data are nominal, ordinal, interval, or ratio scaled. For composite indicators containing two or more simple indicators, inferences are also affected by the mathematical form of combination; e.g., whether the terms are summed or multiplied. Standardizing simple or composite indicators can allow inferences about the relative importance of observations, based on the natural range of occurrence. Scale invariance is a particularly important consideration in landscape assessments, since these often make use of judgement indicators.