重庆城区夏季降水对大气污染物的清除效果分析

利用2015年6—8月重庆市沙坪坝区大气污染物连续监测数据和LVCJY-02气象数据采集仪获得的同期降水数据,分析夏季降水对大气污染物的清除效果。结果表明:1)日降水强度对大气污染物的清除效果有影响。当日降水量小于5 mm时,降水对大气污染物清除能力较小;当日降水量大于5mm时,污染物清除效果随降水量增大而增大,日降水量越大,清除率越大,空气质量越好,最大清除率可达48.55%。夏季降水强度对各大气污染物平均清除率从大到小依次为PM_(10)、SO_2、 PM_(2.5)、NO_2和O_3。2)日降水时长对大气污染物的影响也存在差异。其中0~5 h时长降水对大气污染物平均清除率为负值;5~10 h时长降水对PM_(10)平均清除效果最好,为6.17%;10~15 h时长降水对NO_2平均清除率最大,为50.67%;15~20 h时长降水对SO_2平均清除率最大,为59.76%;夏季降水时长对SO_2平均清除率最高,随后依次为PM_(10)、NO_2、 PM_(2.5)和O_3。3)累积降水量与PM_(10)和 PM_(2.5)浓度多呈负相关,随着累积降水量的增加,大气颗粒物浓度会有降低,但累积降水量与气态污染物的相关性不如大气颗粒物。     

Purification, characterization and application of dual coagulants containing chitosan and different Al species in coagulation and ultrafiltration process

The objective of this study was to investigate the effect of different Al species and chitosan (CS) dosages on coagulation performance, floc characteristics (floc sizes, strength and regrowth ability and fractal dimension) and membrane resistance in a coagulation–ultrafiltration hybrid process. Results showed that different Al species combined with humic acid in diverse ways. Al_a had better removal efficiency, as determined by UV₂₅₄ and dissolved organic carbon, which could be further improved by the addition of CS. In addition, the optimal dosage of different Al species was determined to be 4.0 mg/L with the CS concentration of 1.0 mg/L, by orthogonal coagulation experiments. Combining Al_a/Al_b/Al_c with CS resulted in larger flocs, higher recovery, and higher fractal dimension values corresponding to denser flocs; in particular, the floc size at the steady state stage was four times larger than that obtained with Al species coagulants alone. The results of ultrafiltration experiments indicated that the external fouling percentage was significantly higher than that of internal fouling, at around 85% and 15%, respectively. In addition, the total membrane resistance was significantly decreased due to CS addition.     

CMC改性的纳米Fe/Cu双金属去除2,4-二氯苯酚的研究

为解决纳米零价金属在水中暴露出的极易聚集与氧化的问题,本研究使用铜作为纳米零价铁(NZVI)的复合金属,制得纳米Fe/Cu双金属,并用羧甲基纤维素钠(CMC)对其包覆改性.使用扫描电子显微镜、X射线衍射以及氮气吸附/脱附等温线对改性前后的双金属进行表征.结果表明,改性之后的材料具有更大的尺寸以及比表面积,且抗氧化性得到显著增强.材料的沉降实验以及对2,4-二氯苯酚(2,4-DCP)降解实验的结果揭示,CMC的包覆比对改性后双金属的分散性与反应活性影响较大.当包覆比为80%时,双金属的分散稳定性最强,释放的活性位点个数最多,表现为最高的反应活性.此时脱氯效率达到90.3%,且脱氯过程和产物发生明显改变.     

三峡库区不同林草措施土壤活性有机碳及抗蚀性研究

采用野外定位观测,研究三峡库区坡耕地7种林草治理措施下土壤活性有机碳组分(颗粒性有机碳、可溶性有机碳、易氧化有机碳和微生物生物量碳)含量和团聚体数量特征,并分析了团聚体的分形特征和可蚀性.结果表明,不同林草治理措施下,土壤有机碳及活性有机碳组分含量随土壤深度的增加而降低,其中0～10 cm土壤有机碳及各活性有机碳组分含量显著高于20～30 cm.林草措施治理对土壤团聚体稳定性也具有显著影响,>0.25 mm水稳性大团聚体总量总体上表现为:栾树+黄花槐>植物篱>封山育林>自然恢复>经济林>传统农作>裸地对照,且与土壤有机碳含量呈正相关.不同林草治理措施下土壤具有一定的土壤分形特性.其中栾树+黄花槐措施下土壤的分形维数、可蚀性K值最小,土壤结构稳定性和抗侵蚀能力相对较强.不同土壤深度下活性有机碳组分与土壤可蚀性K值均呈极显著负相关关系,以上研究表明通过不同林草治理措施的治理可改变土壤性状,从而影响土壤抗蚀能力.     

生物破乳菌Alcaligenessp.S-XJ-1表面活性物质提取与其破乳特性分析

对胞壁结合型生物破乳菌Alcaligenes sp.S-XJ-1的表面破乳活性物质进行提取和初步鉴定,并探讨了菌体和表面活性物质的破乳过程,以揭示生物破乳菌的破乳特性.采用碱液提取破乳菌表面活性物质,并通过单因素试验和正交试验得到最优提取条件:温度35℃、碱液浓度0.08 mol.L-1、料液比12 g.L-1、提取时间4 h,在此条件下提取率为36.1%,500 mg.L-1破乳菌表面活性物质48 h破乳率为77%;采用凝胶过滤色谱和红外光谱对破乳菌表面活性物质的分子量和表面基团进行分析,发现其相对分子质量分布于55～61 256,表面存在糖脂类、脂类和蛋白类物质的特征基团;成分分析表明破乳菌表面活性物质含糖类、脂类和蛋白类分别为22.2%、7.5%和13.4%.胰蛋白酶处理破乳菌表面活性物质几乎使其完全丧失破乳活性,表明蛋白类物质是其破乳活性的关键因素.使用稳定性分析仪对破乳菌菌体和表面活性物质的破乳过程进行分析,发现二者破乳过程有较大差异,菌体表面活性物质是菌体破乳活性的主要来源,菌体表面结构在破乳过程中起辅助作用,菌体的破乳性能是破乳活性物质和菌体形态共同作用的结果.     

基于过氧化物的消毒技术研究进展

对环境友好消毒技术需求的增长,推动了过氧化物消毒技术的快速发展,并已被广泛应用于反化学和生物恐怖袭击、化生灾害处置、环境污染治理等领域.在综述了过氧化物消毒剂α亲核取代/氧化消毒反应机制研究进展的基础上,介绍了以过氧化物为活性组分的水基消毒溶液、消毒泡沫、消毒乳液、消毒凝胶、消毒气雾、自消毒材料、纳米材料催化消毒技术等典型消毒体系.针对现有过氧化物消毒技术消毒效率偏低、对个别毒剂消毒效果不理想的缺点,建议在过氧化物消毒技术研究中,加强消毒反应机制、多相体系界面相互作用研究,开发新型催化剂、多功能表面活性剂、自消毒材料和消毒剂缓蚀技术,以实现真正的绿色消毒.     

纳滤膜去除内分泌干扰物/医药化合物研究进展

如何有效去除水中内分泌干扰物、医药活性化合物等有机微污染物的研究逐渐增加,其中,纳滤膜由于其较高的去除率得到了广泛关注。但由于纳滤膜去除这些物质的分离机理较为复杂,有时并不明确,给实验带来较大困难。文章总结了纳滤膜去除水中内分泌干扰物/医药活性化合物的典型应用及其三种分离机理——筛分作用、电荷作用、吸附作用,并对去除过程中所产生的问题和解决方案加以总结。为今后纳滤膜去除内分泌干扰物/医药活性化合物的研究提供参考依据。     

基于变分法对边坡最不利滑裂面的分析

为了合理地确定边坡的最不利滑裂面、探讨坡顶开裂原因及出现滑坡险情时的应急措施,将变分方法用于边坡稳定性分析。通过建立一个与边坡稳定相关的泛函,根据边界条件选取适当的基函数,获得了边坡最不利滑裂面。基于所得最不利滑裂面,得到垂直边坡和普通边坡最不利滑裂面的分布随土体内摩擦角和内聚力的变化趋势,为垂直边坡和普通边坡采取正确的应急措施、提高边坡的稳定性提供了理论依据;根据泛函T沿最不利滑裂面的变化将边坡划分为主动滑动区和被动滑动区。比较分析得出:变分方法和Bishop条分法所获得的安全系数比较接近,且变分方法获得的安全系数略小。     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

Effects of low temperature on aluminum(III) hydrolysis: Theoretical and experimental studies

In this study, the effects of low temperature on aluminum(III) (Al) hydrolysis were examined both theoretically and experimentally by constructing a solubility diagram for amorphous aluminum hydroxide (Al(OH)3(am)) and a distribution diagram of hydrolyzed Al species. First, thermodynamic data of Al species at 4 degrees C were calculated from that at 25 degrees C. A well confirmed polymeric Al species, AlO4Al12(OH)24(7+)(Al13), was involved in building the diagrams and, correspondingly, the non-linear simultaneous equations with 13 degrees were resolved. Secondly, polarized Zeeman atomic absorption spectrophotometry (AAS), 27Al nuclear magnetic resonance (NMR) spectroscopy, and ferron-based spectrophotometry were applied for constructing the practical diagrams. The results show that a decrease of temperature from 25 to 4 degrees C caused the Al(OH)3(am) boundary on the solubility diagram to shift toward the alkaline side by about 1.0 pH unit and the minimum solubility of Al(OH)3(am) to reduce by 1.0 log unit. The distribution diagram indicates that the monomeric Al, Al13, and solid-phase Al(OH)3 were alternately the predominant species with the increase of pH value during Al hydrolysis. At 25 degrees C, Al13 was the dominant species in a pH range of 4.0 to 4.5, whereas at 4 degrees C, All3 was the leading species in a pH range spaced from 4.5 to 6.3. The predominant species changed from the monomeric Al to the solid-phase Al(OH)3 over the range of 1.8 pH units at 4 degrees C in comparison with the range of 0.5 pH unit at 25 degrees C.