大孔强碱阴树脂去除饮用水中微量有机物

比较了大孔强碱阴树脂和颗粒活性炭在饮用水的深度处理中对有机物的去除效果。结果表明：(1)大孔强碱阴树脂的吸附容量比颗粒活性炭的大。在pH为8时,大孔强碱阴树脂对TOC的去除率最高。pH6～8时,对TOC的去除率没有明显的区别,而颗粒活性炭在pH为2时。对TOC的去除率最高;水温低能提高2种吸附材料的吸附容量。(2)在动态实验条件下。当流速相同,大孔强碱阴树脂的穿透时间明显比颗粒活性炭的长,大孔强碱阴树脂的制水量约是吸附床的10000倍。而颗粒活性炭却只有吸附床的4000倍。在饮用水的深度处理中,大孔强碱阴树脂可作为活性炭的最佳替代品。     

沼泽湿地孔隙水中溶解有机碳、氮浓度季节动态及与甲烷排放的关系

选择三江平原典型的毛果苔草沼泽湿地为研究对象,测定了沼泽湿地孔隙水中水溶性碳、氮浓度、CH4浓度和CH4排放通量,以及相关环境因子;研究了沼泽水中水溶性有机碳、氮浓度变化特征,探讨了沼泽湿地孔隙水中CH4浓度和排放通量季节性变化及发生原因.结果表明,三江平原沼泽湿地土壤孔隙水中DOC浓度有明显的季节变化(p＜0.01).最高值(剖面平均值为95.1 mg·L-1)出现在6月份,9和10月份出现最低值(剖面平均值均为79.3 mg·L-1),剖面上浓集中心位于15～30 cm.孔隙水中NH4 -N和NO-3-N浓度也有明显的季节变化,而DON变化不明显.孔隙水中CH4浓度在剖面上的分布特征与DOC一致,高浓度中心位于20～30 cm.除6月份外,孔隙水甲烷浓度与土壤温度和DOC浓度有显著的正相关关系,与NH4 -N和NO3-N均没有显著相关性.土壤温度和孔隙水中DOC浓度是影响沼泽湿地产CH4能力的重要因素.CH4排放通量与土壤温度和积水深度呈很好的指数关系,与剖面CH4浓度和孔隙水NH4 -N浓度有显著的正相关关系.CH4排放通量与孔隙水DOC浓度相关性不显著.     

微型反应柱在含铬废水处理试验研究中的应用

针对镀铬车间废水,采用活性炭吸附处理法对Cr6 和Cr3 的去除效果进行了系统的试验.通过微型反应柱集成装置对穿透时间、吸附容量及活性炭再生方法进行了研究,动态试验表明该装置能有效地处理含铬废水.     

广州大田山垃圾填埋场空气中微量挥发有机污染物组成

以广州大田山垃圾填埋场为例，研究了在不同季节填埋场空气中微量挥发性有机污染物的种类和含量变化情况。结果表明，在春、夏季样品中可分别检测出47和64种化合物，其中有些化合物为USEPA优先控制毒害有机污染物；夏季样品中微量挥发性有机污染物的浓度大多比春季样品高，有的甚至高1个数量级以上。因此加强对垃圾的卫生填埋，尤其是加强对夏季的垃圾卫生填埋的科学管理，减少挥发性有机污染物向大气中的扩散，应给予充分的关注。     

人工神经元网络对水处理系统建模适应性的研究

针对水处理系统的特点和研究中的难点，引入人工神经元网络的理论和思想，提出了水处理系统的神经网络分析方法．通过建立基于ＢＰ人工神经元网络的臭氧生物活性炭系统的模型，具体地考察了人工神经元网络对水处理系统建模的适应性，使水处理系统的研究迈向智能化和控制化．     

应用δ~(13)C值探讨土壤中有机碳的迁移规律

C3 植物与C4 植物具明显的δ13C值差异 ,利用这种特性 ,选取荔波茂兰喀斯特森林边缘处这个C3植物—C4 植物转换生长的地点 ,分别采集森林与农田各三个剖面的土壤样品 ,根据测定其土壤总有机碳、不同粒径及不同比重组分的δ13C值间的相互关系来推导土壤有机碳的若干迁移规律     

不同前处理方法对活性炭吸附一氧化碳的影响

本文采用颗粒状活性炭（GH-A)作吸附剂，通过不同的前处理方法，以一氧化碳CO与空气的混合物为分离测定对象，用气固色谱法测定被活性炭充分吸附前、后的混合气体中CO的含量，对比评价几种前处理方法。结果表明，对CO的吸附量显著提高的前处理方法分别是研磨筛分至32—38目、酸洗、添加改性剂So而水洗则降低了活性炭吸附CO的能力。     

Implications of Land Use Changes on Carbon Dynamics and Sequestration—Evaluation from Forestry Datasets, India

Forests and soils are a major sink of carbon, and land use changes can affect the magnitude of above ground and below ground carbon stores and the net flux of carbon between the land and the atmosphere. Studies on methods for examining the future consequences of changes in patterns of land use change and carbon flux gains importance, as they provide different options for CO₂ mitigation strategies. In this study, a simulation approach combining Markov chain processes and carbon pools for forests and soils has been implemented to study the carbon flows over a period of time. Markov chains have been computed by converting the land use change and forestry data of India from 1997 to 1999 into a matrix of conditional probabilities reflecting the changes from one class at time t to another class time t+1. Results from Markov modeling suggested Indian forests as a potential sink for 0.94 Gt carbon, with an increase in dense forest area of about 75.93 Mha and decrease of about 3.4 Mha and 5.0 Mha in open and scrub forests, if similar land use changes that occurred during 1997–1999 would continue. The limiting probabilities suggested 34.27 percent as dense forest, 6.90 as open forest, 0.4 percent mangrove forest, 0.1 percent scrub and 58 percent as non-forest area. Although Indian forests are found to be a potential carbon sink, analysis of results from transition probabilities for different years till 2050 suggests that, the forests will continue to be a source of about 20.59 MtC to the atmosphere. The implications of these results in the context of increasing anthropogenic pressure on open and scrub forests and their contribution to carbon source from land use change and forestry sector are discussed. Some of the mitigation aspects to reduce greenhouse gas emissions from land use change and forestry sector in India are also reviewed in the study.     

小型炭素焙烧炉沥青烟气净化技术初探

阐述了颗粒层吸附技术在小型炭素焙烧沥青烟气净化中的应用。     

The Role of Soil Organic Carbon in Maintaining Surface Elevation in Rapidly Subsiding U.S. Gulf of Mexico Coastal Marshes

Subsidence is a primary factor governing marsh deterioration in Mississippi River deltaic plain coastal marshes. Marsh surface-water level relationships are maintained primarily through soil organic matter accumulation and inorganic sediment input. In this study we examined the role of soil organic matter accumulation in maintaining marsh elevation in a brackish Spartina patens marsh. Measured rates of soil organic accumulation were compared to plant biomass production and soil respiration (carbon dioxide and methane emission) at the study sites. The study demonstrated the importance of plant biomass production to soil organic carbon accumulation in maintaining viable Spartina patens marshes in sediment-deficient coastal environments. The role of Mississippi River freshwater reintroduction in maintaining conditions for organic accretion is discussed.