我国东部冲积平原区水成土壤元素背景值地域分异规律

从气候条件、母质物质组成的差异以及河流上下游物质之间的联系等角度，讨论了我国东部冲积平原区土壤中１３种元素的地理分布趋势及影响因素。研究表明，大多数元素具有明显的南北向地域分布趋势，这种趋势是地带性和非地带性因素共同决定的，而以非地带因素更重要。此外，东部平原土壤与相应主要河流上游侵蚀区土壤微量元素含量具有很好的共轭关系。     

Effect of organic matter on phosphorus recovery from sewage sludge subjected to microwave hybrid pretreatment

Microwave (MW) hybrid processes are able to disrupt the flocculent structure of complex waste activated sludge, and help promote the recovery of phosphorus as struvite. In this study, to optimize struvite yield, (1) the characteristics of matter released in MW-hybrid treatments were compared, including MW, MW-acid, MW-alkali, MW-H₂O₂, and MW-H₂O₂-alkali. The results showed that selective release of carbon, nitrogen, phosphorus, Ca^2 +, and Mg^2 + achieved by sludge pretreatment using MW-hybrid processes. MW-H₂O₂ is the recommended sludge pretreatment process for phosphorus recovery in the form of struvite. The ratio of Mg^2 +:NH₄⁺-N:PO₄^3 −-P was 1.2:2.9:1 in the supernatant. (2) To clarify the effects of organic matter on struvite recovery, the composition and molecular weight distribution of organic matters were analyzed. Low molecular weight COD was found to facilitate the removal rate of NH₄⁺-N and PO₄³-P via crystallization, and the amorphous struvite crystals (< 1 kDa) from the filtered solutions had high purity. Therefore, the present study reveals the necessity of taking into consideration the interference effect of high molecular weight organic matters during struvite crystallization from sewage sludge.     

中美淡水生物区系中汞物种敏感度分布比较

通过收集无机汞对中国与美国淡水水生生物的毒性数据,构建了脊椎动物(包括鱼类)、无脊椎动物(包括节肢动物和非节肢无脊椎动物)及所有物种对汞的物种敏感度分布(SSD:species sensitivity distributions)曲线,并在此基础上对中国和美国不同类别生物对汞的敏感性分布进行了分析.结果表明:中国与美国各类生物及所有物种对汞的SSD敏感性分布曲线没有显著差异.然而,中国淡水水生物种对汞短期暴露的HC5(hazardous concentration for 5% of the species)较美国淡水物种的阈值小,尤其是非节肢无脊椎动物,汞对美国非节肢动物的HC5值是我国对应物种的7.4倍.在保护95%的物种水平下,中国不同类别试验生物对汞的敏感性排序为无脊椎动物>脊椎动物,其中节肢动物>非节肢无脊椎动物>鱼类;而对应的美国生物对汞的敏感性排序无脊椎动物>脊椎动物,其中节肢动物>鱼类>非节肢无脊椎动物.另外,中美所有节肢动物对汞的敏感性要强于所有鱼类和所有非节肢无脊椎动物.所以在使用所有物种推导水质基准时应考虑其中各类别物种敏感度分布的影响,且需要注意采用美国淡水水生物种推导的水质基准可能会对我国淡水水生物种造成"保护不足".     

塔里木盆地水资源利用与绿洲演变及生态平衡

按塔里木盆地水资源开发利用的历史、现状及未来发展,其与绿洲演变和生态平衡的关系为:原始阶段---生态自然平衡,古绿洲分布在河流下游;初级阶段---生态平衡失调,旧绿洲移向山前平原;低效阶段---生态环境恶化,新绿洲多分布在旧绿洲外围;合理阶段---生态恢复改善,绿洲由外延转向内部挖潜;高效阶段---生态实现良性循环,绿洲面积稳定生产力显著提高。现塔里木盆地水资源利用仅为低效阶段,必须加速水利建设,尽快实现合理、高效利用,才能使生态环境得到改善。     

好氧颗粒污泥沉降选择实验研究与定量描述

以序批式反应器培养的成熟好氧颗粒污泥为对象,研究沉淀高度对颗粒数、比重、污泥浓度、粒径分布及选择系数的影响.结果表明,随着沉淀高度的增加,污泥浓度在沉淀时间为30 s时由0.24 mg.L-1明显增加至6.07 mg.L-1,平均粒径从450μm增加到550μm,颗粒圆形度增加12.67%,而复杂度减小13.47%,说明粒径较大、形状较规则的颗粒沉降较快,从而更易在沉降选择过程中得以保留.根据选择压原理,结合颗粒污泥沉降实验结果引入选择系数.实验和计算结果显示,在任意沉淀高度,选择系数随粒径和密度的增大而增加.随着沉淀高度的增加,直径>600～800μm的颗粒选择系数增加,小颗粒趋势与之相反,说明增大排水比有利于大颗粒保留而絮体被筛选出反应器,而低的排水比会使污泥颗粒化过程放缓.该研究结果可望对加速污泥颗粒化过程和提高其稳定性提供科学的理论依据和指导.     

水生生物对三唑磷的物种敏感度分布研究

针对水环境中日益严重的有机磷农药污染问题,选择广泛使用的三唑磷作为研究对象,利用其对水生生态系统中不同营养层次生物物种的半数效应浓度(median effective concentration, EC₅₀),建立了基于对数-逻辑斯蒂分布的水生生物物种敏感度分布(species sensitivity distribution, SSD)模型,并采用概率图和吻合度检验方法对该模型进行了检验和评价.结果表明,水生生物对三唑磷的 SSD 服从对数-逻辑斯蒂分布,其参数为 α=-0.4788±0.2381,β=0.7546±0.1078.基于该 SSD 模型,获得三唑磷的 5% 危害浓度(hazardous concentration for 5% of the species, HC₅)值为 1.992×10^-3 mg/L,并推导出三唑磷的最大浓度基准值(criteria maximum concentration, CMC)值为 9.96×10^-4 mg/L.对 HC₅、CMC 与单一物种的安全浓度的比较研究指出,基于 SSD 方法制定环境质量标准更为严格,也更接近于真实的生态环境.另外,根据渤海莱州湾海域中三唑磷的监测数据,预测了其对物种的潜在影响比例(potentially affected fraction, PAF)为 0.36%,对该水域生态环境的影响处于较低风险水平.     

我国淡水生物氨氮基准研究

主要采用美国水生生物基准技术,结合美国氨氮水质基准数学模型,利用我国水生生物的氨氮毒性数据,对我国淡水生物氨氮基准进行了研究.共搜集了35种淡水生物的氨氮急性毒性数据和7种慢性毒性数据,得出的氨氮水质基准表现为以水体pH值和温度为自变量的函数,在pH 6.5～9.0、温度0～30℃的取值范围内,我国氨氮急性和慢性基准的...     

再生铜冶炼过程中重金属排放特征和控制

再生铜冶炼是重要的重金属排放源,为掌握再生铜冶炼过程中重金属的排放特征和控制效果,通过固定源等速采样装置采集不同冶炼阶段的烟气样品,利用电感耦合等离子体质谱仪测定烟气和飞灰中重金属的浓度,并估算重金属的排放因子.结果表明,在冷却阶段烟气中重金属和颗粒物的浓度较高,经过布袋除尘器和吸附塔等污染控制装置后,重金属和颗粒物被协同脱除,脱除效率达80%～99%.排放烟气中重金属的浓度在阳极炉不同工艺段中的排序为：加料熔融段>氧化段≈还原段,且As、 Pb、 Cr、 Sn、 Sb和Cd的平均排放因子分别为2.6×10³、2.4×10³、2.7×10³、5.6×10²、34.1和9.8 mg·t^-1,烟气中重金属和颗粒物的浓度均满足行业排放标准.飞灰中Cu和Zn的浓度较高,具有回收利用价值.     

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.     

H∞ loop-shaping controller design for a grid-connected single-phase photovoltaic system

This paper presents a H_∞ loop-shaping controller for controlling dc-link voltage by regulating the switching signal of the inverter associated with a grid-connected single-phase photovoltaic system. To facilitate a robust control design, state-space realisation of the system model is made with uncertainties represented by linear fractional transformation. The controller is achieved through H_∞ synthesis followed by obtaining desired loop shapes through the choice of the proper weighting functions. The controller order is reduced by Henkel-norm method for facilitating its practical implementation. Controller performance is evaluated through carrying out simulations on MATLAB/Simulink platform under standard and changing atmospheric conditions, and fault condition.