Study on nitrile-degrading microorganisms

Two strains of bacteria were isolated from nitrile polluted soils, and identified as Corynebacterium boffmanii and Arthrobacter flavescens. Acetonitrile, propionitrile, butyronitrile and acrylonitrile were degraded by these bacteria to yield corresponding amides, carboxylic acids and ammonia. The nitrile-degrading abilities of these strains were investigated. The removal rates for the nitrile were nearly 100%, after these bacteria were grown in medium containing 10000 ppm of aceto-, propio-, or butyronitrile at 28 ℃ for 24h. When the reaction mkture consisting of 5000 ppm of above mentioned nitriles or acrylonitrile and 20g (dry cell) /L resting cells of the two strains in 0.06mol/L phosphate buffer (pH7.5) was incubated separately at 25 ℃ with moderate shaking for 15 or 45 min, the nitrile could be degraded completely. The optimum growth conditions for C.hoffmanii and A.flavescens were studied as well.     

我国沿海城市体系初探

自古以来,人类的经济活动一直与河海和港口休戚相关,河海有舟楫之便,港口成为物资集散地,自然成为物资流通和集散的场所。尤其在现代,港口既是现代化运输业的中心环节,又是地区经济腾飞的重要因素,已成为港口腹地经济发展极核和有力支柱。港口与城市,不仅把生产和流通有机组合起来,而且对于开拓国内、国际市场,把局部地区和全     

EDTA优化纳米Pd/Fe对2,4-D的催化脱氯研究

采用EDTA优化纳米Pd/Fe催化脱氯水中2,4-二氯苯氧乙酸(2,4-D),并考察了EDTA投加浓度、pH、钯化率、温度等因素对2,4-D还原的影响.结果表明,EDTA的加入络合了纳米Pd/Fe在催化脱氯过程中生成的铁离子,抑制纳米Pd/Fe颗粒表面钝化层的形成,提高了体系的反应活性.适宜的EDTA浓度、低pH、高钯化率、低温等有利于2,4-D的还原脱氯.当EDTA浓度为25.0 mmol·L-1,纳米铁含量为1.0 g·L-1,初始pH=4.3、钯化率为0.5%,温度为25.0℃,搅拌速率为200 r·min~(-1)时,反应50 min,10.0 mg·L-1的2,4-D去除率及苯氧乙酸(PA)生成率均达到100%.     

钙、氯对磷酸盐稳定污染土壤中铅的促进作用研究

为探讨促进磷酸盐稳定污染土壤中铅的方法,在全铅含量为517 mg·kg-1的铅冶炼污染土壤中加入5 mmol·kg-1磷酸盐,同时加入10mmol·kg-1硝酸钙或5 mmol·kg-1氯化钾,在15%或30%的含水率下培养40 d,之后种植黑麦草.结果表明,与单独施用磷酸盐相比,采用磷酸盐与钙、氯结合或增加培养期间的土壤含水率后,土壤DTPA-Pb含量下降3.92%~26.1%;对于同一添加剂处理,培养期间土壤含水率从15%增加到30%,土壤有效铅(DTPA-Pb)含量下降8.83%~24.4%.增加土壤含水率后,土壤有效磷(Olsen-P)含量均显著升高(p0.05).土壤铅的EXAFS分析表明,与未施用磷酸盐的对照相比,土壤中加入磷酸盐后矿物态铅的比例由57%上升至81%,加施钙、氯或增加土壤含水率后,多数处理矿物态铅的比例有所下降,而有机结合态铅比例上升.与对照相比,污染土壤中施用磷酸盐后,植物产量大幅增加,但施用钙、氯或增加培养期间含水率后,部分处理植物产量有所下降.以上结果表明,在铅冶炼污染土壤中加入磷酸盐时,加入钙、氯或者增加土壤含水率均有利于铅的稳定,但以上措施可能对植物生长产生不利影响.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.     

Waste landfill plant and waste disposal plant efficiencies in China

Journal of Material Cycles and Waste Management - As resident awareness of environmental issues has grown, waste disposal has become an important part of urban environmental governance. Most...     

江苏省矿业循环经济

论述了矿业循环经济的定义和内涵、矿业循环经济与传统矿业经济的区别、矿业循环经济中的原则及技术载体,分析了江苏省发展矿业循环经济的有利条件,指出了矿业循环经济的重点技术,构建了生态示范区建设的指标体系及给出了重点建设的矿业循环经济生态示范区,简述了江苏省发展矿业循环经济的成就,提出了发展矿业循环经济的措施及建议。     

Catalytic amination and dechlorination of para-nitrochlorobenzene (p-NCB) in water over palladium-iron bimetallic catalyst

Chemical treatment of para-nitrochlorobenzene (p-NCB) by palladium/iron (Pd/Fe) bimetallic particles represents one of the latest innovative technologies for the remediation of contaminated soil and groundwater. The amination and dechlorination reaction is believed to take place predominantly on the surface site of the Pd/Fe catalysts. The p-NCB was first transformed to p-chloroaniline (p-CAN) then quickly reduced to aniline. 100% of p-NCB was removed in 30 min when bimetallic Pd/Fe particles with 0.03% Pd at the Pd/Fe mass concentration of 3g 75 ml(-1) were used. The p-NCB removal efficiency and the subsequent dechlorination rate increased with the increase of bulk loading of palladium and Pd/Fe. As expected, p-NCB removal efficiency increased with temperature as well. In particular, the removal efficiency of p-NCB was measured to be 67%, 79%, 80%, 90% and 100% for reaction temperature 20, 25, 30, 35 and 40 degrees C, respectively. Our results show that no other intermediates were generated besides Cl(-), p-CAN and aniline during the catalytic amination and dechlorination of p-NCB.     

介质材料在可渗透反应墙中的应用进展

可渗透反应墙正发展成为修复污染地下水技术的新方向,其中介质材料是可渗透反应墙成功修复污染地下水的关键。可渗透反应墙介质材料可以细分为还原型、吸附型、沉淀型和降解型介质材料等四类,并分别从不同类型的介质材料的反应机理、应用情况以及存在的问题等方面加以阐述。可渗透反应墙介质材料的选择应在其反应机理的基础上,结合实际的地下水环境条件、污染源、人类活动和经济费用等加以综合考虑,以保证可渗透反应墙长期有效经济安全地运行。