次氯酸钠处理终冷水中氰化物硫化物的研究

以次氯酸钠为氧化剂,用正交实验研究了次氯酸钠处理终冷水中氰化物和硫化物,得出正交实验中各因素的主次关系及对除氰除硫的影响。研究结果表明,反应体系的pH是影响脱氰脱硫的重要因素。在最佳处理条件,即pH为10．0,反应温度为25℃,投氯量系数为1．4,反应时间为45min．能使氰化物的质量浓度降至0．267mg／L,脱氰率高达99．8％,硫化物的质量浓度降到0．387mg／L,脱硫率达92．0％,达到≤0．5mg／L的国家排放标准。文章还对工业化提出了一些设想。     

工业企业可持续发展评价指标体系初探

从可持续发展的概念出发，对影响工业企业的经济，环境和企业的经济，环境和企业素质３个因素进行综合分析，建立了包括目标层，准则层，指标层，分指标层４个层次，主要由发展现状、发展协调度、发展潜力来进行综合评价的工业企业可持续发展评价指标体系，并对评价方法进行了简要分析，为进一步研究提供借鉴。     

层控矿床的成岩成矿

本文从成岩分异,成岩交代,自生、脱水、泄水、压实、挤压、扩散和胶结作用等方面,论述层控矿床的成岩成矿作用。     

Numerical simulation of alga growth and control in Dalian Bay

WAHMO model was used to simulate the distribution of pollutants in Dalian Bay, China as to predict well as the growth and control of alga. The observed and predicted values of main pollutants showed a good trend at all study locations and the different between them can be ignored. Simulation results illustrated that phosphate was one of limited factors to control algal growth at the location near the sewage outfall, meanwhile, away from the sewage outfall, the synergy of ammonium nitrogen and phosphate was the limited factor.     

旅游风景区大型体育赛事的环境保护措施研究

结合旅游风景区举办大型体育赛事对环境的危害性,从减少污染排放源、从源头治理污染、加大管理层的监管力度等三方面进行环境污染监控管理。采用统计分析方法对环保治理效果进行量化评估,分析旅游风景区举办大型体育赛事期间的空气污染指数、废弃物排放数量以及水质污染情况,结合分组样本检验方法进行环保措施的有效性评价,并根据实际情况制定最优的环保措施,实现对旅游风景区的全方面环境治理,确保举办体育赛事对旅游景区的生态环境污染影响降到最低。     

微波萃取技术在分析土壤中有机污染物的应用

介绍了微波萃取技术及其使用的试剂、设备和条件,对微波萃取在分析土壤中有机污染物的应用予以综述,阐述了微波萃取技术是分析土壤中有机污染物的好方法。     

平朔矿区生态经济重建的意义及其内容

以处于生产鼎盛期的全国最大露天煤矿之一的平朔矿区为例,针对它与区域生态经济紧密相关的特点,分析它在生态经济方面存在的问题,研究生态经济重建对资源型区域可持续发展的作用,提出生态经济重建的主要内容.     

Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.     

Single particle analysis of ambient aerosols in Shanghai during the World Exposition, 2010: two case studies

ATSI Model 3800 aerosol time-of-flight mass spectrometer (ATOFMS) was deployed for single-particle analysis in Shanghai during the World Exposition (EXPO), 2010. Measurements on two extreme cases: polluted day (1st May) and clean day (25th September) were compared to show how meteorological conditions affected the concentration and composition of ambient aerosols. Mass spectra of 90496 and 50407 particles were analyzed respectively during the two sampling periods. The ART-2a neural network algorithm was applied to sort the collected particles. Seven major classes of particles were obtained: dust, sea salt, industrial, biomass burning, organic carbon (OC), elementary carbon (EC), and NH₄-rich particles. Number concentration of ambient aerosols showed a strong anti-correlation with the boundary layer height variation. The external mixing states of aerosols were quite different during two sampling periods because of different air parcel trajectories. Number fraction of biomass burning particles (43.3%) during polluted episode was much higher than that (21.6%) of clean time. Air parcels from the East China Sea on clean day diluted local pollutant concentration and increased the portion of sea salt particle dramatically (13.3%). The large contribution of biomass burning particles in both cases might be an indication of a constant regional background of biomass burning emission. Mass spectrum analysis showed that chemical compositions and internal mixing states of almost all the particle types were more complicate during polluted episode compared with those observed in clean time. Strong nitrate signals in the mass spectra suggested that most of the particles collected on polluted day had gone through some aging processes before reaching the sampling site.     

三氯卡班对小鼠血浆内源性物质影响的代谢组学研究

三氯卡班被认定为一种新型的环境污染物,可能对动植物和人体产生危害,为探究三氯卡班的有害作用机制,选择C57BL6小鼠作为载体,利用分子生物学和报告基因方法考察了三氯卡班对肝脏的作用,同时利用代谢组学技术考察三氯卡班对血浆内源性代谢物变化的影响。结果表明,三氯卡班是核受体CAR的激活剂,可以提高肝脏CYP2b10的m RNA表达。同时血浆主要的内源性代谢物也产生了显著性变化,血浆中的脂肪酸比例都呈下降趋势,肉毒碱与乙酰肉碱的比例都呈上升趋势,花生四烯酸与肌酸的比例都呈上升趋势,这都与核受体CAR被激活密切相关,由此说明利用代谢组学技术能够全面地反映三氯卡班所造成的对机体的影响。