氨水土壤混合物脱除CO2温室气体的实验研究

为了脱除CO2温室气体,提出了利用氨水土壤混合物去除CO2的新方法.分别考察了土壤颗粒粒径、CO2初始流量、氨水浓度(质量比)和温度对CO2脱除量和脱除率的影响.实验结果表明,该方法去除CO2的量较土壤物理吸附量和氨水化学吸收量的总和提高了大约15%;随着氨水浓度的增大,CO2的脱除率和脱除量都增大;随着土壤颗粒粒径和CO2初始流量的增大,CO2的脱除率和脱除量都减小;当温度由22℃升高到31℃,CO2的脱除率随着温度的升高而增大,但是继续升高温度到40 ℃,CO2的脱除率反而下降.     

尾气循环技术在国内顺酐装置的应用

顺酐生产过程排放的废气中含有大量未反应原料、副产物CO和挥发性有机物(VOC)等,对其进行处理使之达标排放,回收其中可利用的物质或能量有重要意义。吐哈石化厂顺酐装置采用CONSER公司工艺技术,新增部分尾气回收生产工艺路线,回收40%的尾气中的正丁烷,实现了蒸汽分阶利用,排放的废气中SO2、NOx、颗粒物等达到GB16297-1996《大气污染物综合排放标准》中二级标准。     

张家口市中心城区饮用水安全的探讨

饮用水与人民群众的生活与健康休戚相关,因此保护饮用水水源地尤其重要。张家口市中心城区的饮用水水源地为地下水水源地,市区共有南北五个集中式供水水源地。近年来,由于农业污染、生活污染、个别企业超标排污以及上游来水不达标等原因,水源地水质下降。本文主要从5个水源地的水质、水量现状出发,探讨了影响水源地安全的因素,并提出相应的水源地保护措施：切实落实《饮用水水源地保护规划》、加强监管和立法以及提高公民环境意识。     

含磁粉生物反应器处理苯酚废水

采用含磁粉生物反应器对质量浓度为120～350 mg/L的苯酚模拟废水进行强化生物处理.实验结果表明:添加适量磁粉可使废水中DO提高约10%;与不含磁粉生物反应器比较,含磁粉生物反应器工艺使填料挂膜时间缩短1～2 d,填料上附着微生物量增多;质量浓度为350 mg/L的苯酚模拟废水在20 h内的苯酚去除率可达80%,降解时间缩短了10 h.初步分析了添加磁粉提高生物反应器处理废水效率的机理.实验证实了含磁粉生物反应器工艺的合理运用是强化处理含酚废水的有效途径.     

重金属吸附剂壳聚糖的改性研究进展

综述了重金属吸附剂壳聚糖改性研究的新进展,介绍了交联与接枝等改性方式对壳聚糖稳定性的影响及改性后的壳聚糖对水体中重金属离子吸附性能的改善.针对壳聚糖改性中仍然存在的一些问题,指出今后研究中值得关注的方向.     

混凝法深度处理印染废水中试研究

采用"高效混凝沉淀-过滤"深度处理工艺处理印染废水二级生化出水,并将混凝沉淀污泥回流.实验结果表明,混凝剂聚合氯化铝加入量为160 mg/L时,COD去除率平均可达34.6%,TP去除率平均达到87.9%,平均出水TP为0.3 mg/L.气相色谱-质谱分析和元素分析结果表明混凝沉淀工艺对有机物和TP的去除效果良好.     

内蒙古工业实现节能减排的对策研究

以资源、能源为依托的工业结构和粗放的增长方式是内蒙古工业的主要特点,也是实现节能减排目标的瓶颈.通过淘汰落后生产能力、加快接续产业发展、推动资源型产业发展高端和集成产品、促进节能减排技术的研发和应用、发展循环经济以及建立配套的政策、法规体系,力促内蒙古工业实现节能减排目标,走出一条资源节约与环境友好的新型发展道路.     

Modification of Fe–Mn mixed oxide COS removal sorbent by rare-earth oxides addition

In order to develop highly active sorbent for COS removal, Fe–Mn mixed oxides doped with CeO₂, La₂O₃ or Sm₂O₃ were studied. The effects of these promoters on the structural properties of Fe–Mn oxides were investigated by XRD, BET, TPR and TEM techniques. XRD results revealed that the degree of crystallinity of Fe–Mn oxide phase decreased due to the addition of rare-earth oxides. Doping with CeO₂, La₂O₃ or Sm₂O₃ led to an increase in BET surface area of the sample. TPR studies showed that the reactivity of the reduction of doped samples increased in the temperature range of 300–450 °C. In addition, the desulfurization test was performed at 325 °C with a gas hourly space velocity of 1000 h⁻¹. It was found that the addition of 3% La₂O₃ greatly improved the absorption sulfur capacity of the sorbent, while the sorbent doped 3% CeO₂ achieved a sufficiently high purifying degree before breakthrough.     

紫外分光光度法在水中阴离子表面活性剂标准样品研制中的应用

研究了阴离子表面活性剂水溶液的紫外吸收特性,并将研究结果用于阴离子表面活性剂水质标样的稳定性,均匀性和定值工作,简化了操作手续,获得了准确的分析结果。     

Spatial succession modeling of biological communities: a multi-model approach

Strong spatial correlation may exist in the spatial succession of biological communities, and the spatial succession can be mathematically described. It was confirmed by our study on spatial succession of both plant and arthropod communities along a linear transect of natural grassland. Both auto-correlation and cross-correlation analyses revealed that the succession of plant and arthropod communities exhibited a significant spatial correlation, and the spatial correlation for plant community succession was stronger than arthropod community succession. Theoretically it should be reasonable to infer a site's community composition from the last site in the linear transect. An artificial neural network for state space modeling (ANNSSM) was developed in present study. An algorithm (i.e., Importance Detection Method (IDM)) for determining the relative importance of input variables was proposed. The relative importance for plant families Gramineae, Compositae and Leguminosae, and arthropod orders Homoptera, Diptera and Orthoptera, were detected and analyzed using IDM. ANNSSM performed better than multivariate linear regression and ordinary differential equation, while ordinary differential equation exhibited the worst performance in the simulation and prediction of spatial succession of biological communities. A state transition probability model (STPM) was proposed to simulate the state transition process of biological communities. STPM performed better than multinomial logistic regression in the state transition modeling. We suggested a novel multi-model framework, i.e., the joint use of ANNSSM and STPM, to predict the spatial succession of biological communities. In this framework, ANNSSM and STPM can be separately used to simulate the continuous and discrete dynamics.