河流水污染定量研究进展

水质模型可定量地反映出水质状况与污染物排放之间的关系,从而为进行水质评价与预测、选择污染控制方案以及制定水质标准和排放污染规定提供可靠的依据.文章从建立模型所采用的数学方法角度出发,较为详细的概述了近年来水质模拟的研究进展,并对确定性模型所存在的问题和河流水质模型的发展趋势做出评价.     

陕南化龙山珍稀濒危植物的保护和利用

化龙山是大巴山系在川陕境内的最高山峰,海拔２９１７．２ｍ,植物资源丰富,有野生维管植物１９７７种,隶属１８６科８１５属。化龙山是陕西省珍稀濒危植物资源最丰富的地区,共有国家保护的珍稀濒危植物２２科３０属３３种,其中属一级保护１种,二级保护１１种,三级保护２１种,属濒危２种,稀有１４各,渐危１７种,珍稀濒危植物古老成分较多,并以第三纪孑遗成分为主单少型属和中国特有属分别是１６属和１０属。这些珍稀濒危     

不同形态的砷水生生物基准探讨及在辽河流域的初步应用

有毒元素砷在我国各流域分布广泛,主要包括三价和五价两种价态,其毒性差别很大,目前我国缺乏本土的砷水质基准研究,而国外的砷水质基准多以总砷表示,科学性有待商榷.因此,本文分别搜集了三价砷、五价砷和总砷对我国本土水生生物的毒性数据,共获得三价砷12属12种,五价砷18种23属,以及总砷25属29种的合格数据.利用美国环保局推荐的物种敏感度排序法,通过数据分析得出,三价砷的急性和慢性基准阈值分别为84.26 μg · L-1和56.55 μg · L-1,五价砷的急性和慢性基准阈值分别为1171 μg · L-1和633.3 μg · L-1,总砷的急性和慢性基准阈值分别为264.4 μg · L-1和150.7 μg · L-1;总砷的基准阈值与美国现行砷基准值相当,而五价砷基准阈值与三价砷基准阈值体现出数量级的差异,因此,需要分价态考虑砷基准的制定.基于推算的砷基准阈值,用商值法评价了辽河流域枯水期总砷暴露的生态风险.检测结果表明,辽河的总砷暴露浓度范围在2.6~82.4 μg · L-1之间,全部位点均无风险,但西辽河段上游支流两点位的砷浓度分别超出三价砷慢性基准阈值的1.20和1.45倍,表明可能存在潜在的砷暴露风险.     

Cd对不同形态漆酶修复DDT污染土壤的影响

研究了重金属Cd对游离漆酶和同定化反胶团漆酶修复土壤有机氯农药DDT污染的影响.结果表明.游离漆酶对土壤中DDT各组分均有不同程度降解,且均随着cd浓度的增大而降低,含量越高的组分降解率越高.受到Cd污染的影响也越大(P,P'-DDT>P,P'-DDD>0.P'-DDT>P,P'-DDE);当Cd浓度分别为0、0.5、1和2 mg·kg-1时,游离漆酶对土壤中DDT总量的降解率分别为50.68%、32.50%、14.92%和13.40%.固定化反胶团漆酶比游离漆酶能更有效地降解DDT,DDT降解率在无Cd和有Cd存在时(Cd浓度为0.5 mg·kg-1)分别提高20%和30%左右.     

人工湿地中沸石对铵吸附能力的生物再生研究

利用铵吸附饱和的天然斜发沸石和沙质土壤作为基质,构建了沸石柱和芦苇、菖蒲沸石人工湿地试验系统,采用曝气供氧、自然复氧、植物根系输氧以及培养系统中基质上硝化菌群的方法,研究了铵吸附饱和的沸石在沸石柱和湿地中的生物再生过程。结果显示,沸石在湿地中再生过程符合指数模拟,在试验周期内沸石在沸石柱中再生可以用指数和线性模拟。沸石在湿地系统和沸石柱中经过1个月的再生,交换容量分别恢复到原来的60.3%～62.6%和11.8%,3个月后分别恢复到原来的94.6%～94.8%和38.4%。试验证明,沸石在湿地中再生比在沸石柱中再生效果好,交换容量恢复率高出50%～63%。根据试验结果,探讨了铵吸附饱和的沸石在人工湿地中的生物再生机理,证明了饱和沸石在湿地中生物再生的可行性。     

球形棕囊藻与红树林细菌Flavobacterium sp.相互关系的研究

从深圳福田红树林中分离出一株细菌,对球形棕囊藻有溶藻活性,通过形态鉴定为假单胞菌属细菌。将球形棕囊藻、藻过滤液和提取的溶血毒素与细菌共培养,通过荧光显微计数及平板计数研究活细菌数和可培养细菌数,结果表明:当细菌直接与棕囊藻共培养时,细菌很快进入VBNC状态,细菌能够促进棕囊藻溶血毒素的积累。而将细菌置于透析袋中与棕囊藻一起共培养时,棕囊藻对细菌的VBNC状态影响不大,细菌对棕囊藻溶血毒素的积累无影响。对数期、稳定期棕囊藻培养过滤液和溶血毒素均可使细菌很快进入VBNC状态,溶血毒素可能在球形棕囊藻在被牧食及抑制其他竞争者中(化感作用)扮演着重要的角色。     

Process design for the environment: A multi-objective framework under uncertainty

Designing chemical processes for the environment requires consideration of several indexes of environmental impact including ozone depletion, global warming potentials, human and aquatic toxicity, photochemical oxidation, and acid rain potentials. Current methodologies, such as the generalized waste reduction algorithm (WAR), provide a first step towards evaluating these impacts. However, to address the issues of accuracy and the relative weights of these impact indexes, one must consider the problem of uncertainties. Environmental impacts must also be weighted and balanced against other concerns, such as their cost and long-term sustainability. These multiple, often conflicting, goals pose a challenging and complex optimization problem, requiring multi-objective optimization under uncertainty. This paper will address the problem of quantifying and analyzing the various objectives involved in process design for the environment. Towards this goal, we proposed a novel multi-objective optimization framework under uncertainty. This framework is based on new and efficient algorithms for multi-objective optimization and for uncertainty analysis. This approach finds a set of potentially optimal designs where trade-offs can be explicitly identified, unlike cost-benefit analysis, which deals with multiple objectives by identifying a single fundamental objective and then converting all the other objectives into this single currency. A benchmark process for hydrodealkylation (HDA) of toluene to produce benzene modeled in the ASPEN simulator is used to illustrate the usefulness of the approach in finding environmentally friendly and cost-effective designs under uncertainty.     

Toluene decomposition performance and NOx by-product formation during a DBD-catalyst process

Characteristics of toluene decomposition and formation of nitrogen oxide (NOx) by-products were investigated in a dielectric barrier discharge (DBD) reactor with/without catalyst at room temperature and atmospheric pressure. Four kinds of metal oxides, i.e., manganese oxide (MnOx), iron oxide (FeOx), cobalt oxide (CoOx) and copper oxide (CuO), supported on Al₂O₃/nickel foam, were used as catalysts. It was found that introducing catalysts could improve toluene removal efficiency, promote decomposition of by-product ozone and enhance CO₂ selectivity. In addition, NOx was suppressed with the decrease of specific energy density (SED) and the increase of humidity, gas flow rate and toluene concentration, or catalyst introduction. Among the four kinds of catalysts, the CuO catalyst showed the best performance in NOx suppression. The MnOx catalyst exhibited the lowest concentration of O₃ and highest CO₂ selectivity but the highest concentration of NOx. A possible pathway for NOx production in DBD was discussed. The contributions of oxygen active species and hydroxyl radicals are dominant in NOx suppression.     

机械工业职业卫生状况研究

对１２２４个工种（岗位）的工人接触生产性毒物、粉尘、高温的状况以及部分工种（岗位）的工人体力劳动强度状况进行了调研，初步了解到机械工业的主要职业危害因素、危害分布、危害程度和特征。