环境信访案件产生原因及对策探讨

以朝阳市为例,分析了环境信访投诉案件产生的主要原因,主要包括城市规划布局不尽合理、环保前置审批制度落实不到位、相关部门执法尚未形成合力等,并针对朝阳市环境信访与投诉案件的形式和特点,提出了将环保工作纳入城市规划全过程、控制源头审批、建立完善信访制度等建议。     

8种植物对铀和镉的富集特性

研究8种植物在铀镉复合污染土壤条件下的吸收、富集和转运特性具有重要意义。在每千克土中施用铀、镉的浓度分别为150、15 mg·kg-1,采用主成分分析法对植物富集特性进行综合性评价。结果表明：白皮菜铀镉综合评价值最高,地上部、地下部、单株铀镉总含量、单株铀镉总积累量均最大,分别为90.03 mg·kg-1DW（干质量）、477.00 mg·kg-1DW、150.26 mg·kg-1DW和1 168.52 μg;花椰菜铀综合评价值最高,地上部、地下部铀含量分别为42.16、444.83 mg·kg-1DW,单株铀积累量达到255.42 μg;南瓜综合评价最低,单株铀镉积累量仅为58.47 μg;供试植物地上部铀含量均显著小于地下部铀含量,转运系数均小于1,根系是植物富集铀镉的主要器官。     

柴油降解菌的筛选、菌群构建及其对柴油和十五烷的降解机理

针对柴油污染土壤生物修复技术效率低的问题,通过构建高效降解菌群修复柴油污染的土壤,采用组合优化和正交实验构建最佳组合与接种比例的菌群,并研究其柴油降解特性。结果表明,通过筛选、鉴定并命名的4株柴油降解菌为Bacillus sp. VOC18-L1、Enterococcus faecalis-L2、Lysinibacillus-L3、Rhodococcus equi-L4;当4株菌接种比例为3∶1∶3∶4,pH = 7.0,30 ℃,转速150 r·min⁻¹时,柴油降解的效果最佳,14 d对7.0 mL·L⁻¹的柴油降解率达到89.0%。通过气相色谱质谱联用仪(GC-MS)检测柴油降解产物,发现该混合菌株能将柴油中的烷烃降解为短链烷烃,最终转化为小分子物质。同时利用KEGG数据库获得代谢丰度图并初步预测每种菌的功能,根据微生物多样性测试结果,进一步证明了混合菌对柴油完全降解的效果优于单种菌种。通过人工构建的微生物菌群可以有效地应用于柴油污染土壤的修复。     

生物表面活性剂合成条件的优化及提取方法

利用油平板筛选法和排油圈法从辽河某油田的土壤样品中分离筛选高效的生物表面活性剂产生菌, 通过16S rRNA基因序列分析对所筛选菌株进行鉴定。采用L16(45)正交实验对所筛选菌株合成生物表面活性剂的条件进行优化。比较5种提取方法对发酵液中生物表面活性剂的提取效果。共分离得到17株菌,其中菌株A3、As和Y产表面活性剂的能力最强。16S rRNA基因序列分析表明,这3株菌均为假单胞菌属(Pseudomonas)。菌株A3、As、Y和 A3-As混合菌的生物表面活性剂提取量较优化前有明显的提高,其产量分别是优化前的8.4倍、6.4倍、5.6倍和5.7倍,其中,菌株As的生物表面活性剂产量最高,可达20.55 g/L。对于3种纯菌和A3-As混合菌而言,5种提取方法中均以CHCl3萃取的量最高;而对其他混合菌,5种提取方法的差别并不显著。菌株A3、As、Y均属于高效的生物表面活性剂产生菌,具有很好的应用前景。     

我国水源污染事故风险点定量识别方法

水源事故的频发会对城市供水系统产生威胁,有必要针对供水系统风险进行评估和防控。针对水源事故频发及高发因素定量甄别研究,筛选统计了国内近20年来1 900多起水质突发事故案例,梳理了触发水源水质污染的多种因素,通过构建水源水质安全事故树和贝叶斯网络进行了相互验证分析。结果表明：我国水源污染事故主要因素贡献为依次突然排放(0.466)、污染长期累积(0.242)、交通事故(0.109)等;采用贝叶斯网络计算进行验证,其结果与事故树方法一致性较好。该方法有助于水源污染防控工作中风险点甄别和排序,可为我国饮用水安全保障水平的提升提供支撑。     

国内外环境优先污染物筛选排序方法比较

综述了美国、欧盟、荷兰、加拿大、澳大利亚、德国、英国、挪威、瑞典、日本、韩国等国家(国际组织),以及国内不同地区、流域的优先污染物名单的制定情况,介绍了国内外优先污染物筛选的原则和技术方法,并分析了国内外优先污染物筛选排序方法的优缺点。通过对国内外主要筛选排序方法的比较发现,我国环境优先污染物筛选排序过程中主要存在环境介质单一、主观影响较大、缺少本土化模型参数、常规监测项目不完善、缺少污染物动态变化的连续性监测等问题。提出了加强基础数据搜集,充分考虑不同环境介质,开发建立本土化技术方法及模型参数,对污染物进行名单动态更新等针对性建议。     

Development of heat transfer and evaporation model of LNG covered by Hi-Ex foam

Natural gas is a kind of clean, efficient green energy source, which is used widely. Liquefied natural gas (LNG) is produced by cooling natural gas to −161 °C, at which it becomes the liquid. Once LNG was released, fire or explosion would happen when ignition source existed nearby. The high expansion foam (Hi-Ex foam) is believed to quickly blanket on the top of LNG spillage pool and warm the LNG vapor to lower the vapor cloud density at the ground level and raising vapor buoyancy. To identify the physical structure after it contacted with LN₂ and to develop heat transfer model, the small-scale field test with liquid nitrogen (LN₂) was designed. In experiment, three layers including frozen ice layer, frozen Hi-Ex layer and soft layer of Hi-Ex foam were observed at the steady state. By characterizing physical structure of the foam, formulas for calculating the surface of single foam bubble and counting foam film thickness were deduced. The micro heat transfer and evaporation model between cryogenic liquid and Hi-Ex foam was established. Indicating the physical structure of the frozen ice layer, there were a certain number of icicles below it. The heat transfer and evaporation mathematical model between the frozen ice layer and LNG was derived. Combining models above with the heat transfer between LNG, ground and cofferdam, the heat transfer and evaporation mathematical model of LNG covered by Hi-Ex foam was developed eventually. Finally, LN₂ evaporation rate calculated by this model was compared with the measured evaporation rate. The calculated results are 1.2–2.1 times of experimental results, which were acceptable in engineering and proved the model was reliable.     

净化烹饪油污微生物菌种的选育

利用正交试验方法优化了净化烹饪油污菌种选育的环境和营养条件 ,即 :油 :2 0mL、NaNO3( 2g L) :4mL、KH2 PO4( 0 .5g L) :3mL、微量元素溶液 (CuSO4·5H2 O 0 .0 3g L ,ZnSO4·7H2 O 0 .1g L ,MnCl2 ·4H2 O 0 .0 5g L) :1mL和温度 3 7℃ ;而且得出氮源是影响菌体增长的最重要因素 ,温度是影响微生物降解的重要因素 ,而微量元素和磷源对菌种培育结果影响较小。在此优化条件下选育出了合适降解烹饪油污的c种子菌液 ,其每天可降解油 2 2mg L以上 ,并鉴定出主要的微生物是嗜水性气单孢菌 (Aeromonashydrophila 4AK4)、黄丝藻属 (Tribonema)和多甲藻属 (Peridinium)等菌体 ;分析了选育过程活性微生物、目标污染物和微生物的代谢产物三者之间的关系 ,发现所选微生物能利用油类物质作为碳源进行生长代谢     

RUNOFF PREDICTION USING REMOTE SENSING IMAGERY1

ABSTRACT: Percent imperviousness is an important parameter in modeling the urban rainfall-runoff process and is usually determined using manual methods such as random sampling or conventional accounting methods. In this study two computerized methods are used for estimating the percent imperviousness of urban watersheds using high altitude remote sensing imagery. These methods include the Laser Image Processing Scanner and the Video-Tape Camera system. Imperviousness is directly estimated in the former method while in the latter it is estimated as a function of the statistics of the responses on emulsions of the imagery. The percent imperviousness computed by utilizing remote sensing imagery was used with the conceptual models of rainfall-runoff models. The models were applied to four urban watersheds and the runoff prediction results indicate that imperviousness determined by using remote sensing imagery was as accurate as that obtained by the manual methods, and that the use of remote sensing imagery requires significantly less time and money.     

玉米芯生产单细胞蛋白研究——生产SCP的Candida Boidinii No.2201诱变菌株的筛选

本研究对用玉米芯酸水解液生产ＳＣＰ的ＣａｎｄｉｄａｂｏｉｄｉｎｉＮｏ．２２０１诱变株进行了初步筛选,选出了诱变菌株Ｙ１０８,其产量比原菌种增加２５％左右,达到了２８ｇ／Ｌ～３０ｇ／Ｌ,产品粗蛋白含量为３５％。初步研究表明,利用诱变株Ｙ１０８生产ＳＣＰ有可能成为未来较好的饲料蛋白添加剂