污泥龄对LSP & PNR污泥减量新工艺运行效能的影响

通过研究分析污泥龄（SRT）对富磷污水除磷的LSP&PNR污泥减量新工艺运行效果的影响,结果发现,延长污泥龄有利于提高系统的厌氧释磷能力,但不影响其总的除磷率,同时磷的回收比例增大,当SRT=50 d时,磷回收率取得最大值70.4％;LSP&PNR系统污泥龄增加,还有利于污泥产率的降低。试验还发现,排富磷污水除磷的长污泥龄LSP&PNR系统的除磷效率与污泥产率之间不存在制约关系,即系统可以同时获得优异的污泥减量与生物除磷效果,当SRT=50 d时,每降解1 kg COD仅产生0.143 kg污泥,而除磷率达最高值928％;LSP&PNR系统中SRT、DO与SVI之间存在一定的相关性,在供氧充足（DO＝0.8～1.5 mg/L）条件下,SRT增加,SVI越高,但对于SRT为50 d的LSP&PNR系统,稳定运行时没有污泥膨胀之虞。     

劳动力外出务工对承灾体恢复力的影响——以河北省邢台县旱灾调查为例

农村劳动力资源是构成农户承灾体恢复力的重要因素.一般认为农村劳动力外出务工,可以提高农户家庭的经济水平,进而提升农户的旱灾恢复力.通过对河北省邢台县的实地调查研究发现,劳动力外出务工与农户承灾体恢复力间存在着微妙的关系.研究表明,户主外出务工模式不仅在农业生产的灾后恢复上,而且在农户家庭经济的恢复上均有积极的意义.对于子女外出务工家庭而言,子女不愿意再从事农业生产,并且子女的务工收入对家庭的贡献十分有限,即子女外出务工对家庭旱灾恢复力影响较小.     

滑坡勘查中的高密度电阻率法异常特征

以某滑坡区为例,使用高密度电阻率法对滑坡区的异常特征进行了研究,并对获取的视电阻率断面进行了地形校正.结果表明,对于沉积岩地区滑坡,滑坡体与滑床间存在明显的电性差异,根据经过地形改正的滑坡区视电阻率异常特征和断面,更清晰和直观显示了滑坡体的纵横向展布、主滑动面的位置与埋深,进而可圈定滑坡体的规模,从而为滑坡治理提供可靠的地球物理依据.     

高密度电阻率法延时性勘探在地质灾害监控预警中的应用

将高密度电阻率法延时性技术应用于地质灾害（堤坝渗漏及岩土体稳定性）监控与预警中是一种创新。结果表明,高密度电阻率法的延时性勘探能有效地划分可能发生地质灾害的地段及位置;同时,还能为灾害治理提供区域性和地下结构方面的基础资料。     

城市污泥模拟堆肥过程中高温菌群的筛选、鉴定及降解效果

在城市污泥模拟堆肥过程的高温期通过平板培养法筛选出一组强化菌群.该组菌群不但可以分解污泥有机质,还可以分解淀粉、蛋白质、油脂、纤维素等大分子有机物.经鉴定,筛选出的菌种分别为地衣芽孢杆菌(B.licheniformis)、短小芽孢杆菌(B.pumilus)、高温放线菌(Thermoactinomyces)、凝结芽孢杆菌(B.coagulans)、枯草芽孢杆菌(B.subtilis);将菌株两两接种到平板,发现各菌株间可以共存.将上述菌种混合后添加到堆肥样品中,其有机质去除率、脱氢酶增加率、比耗氧速率SOUR增加率均高出不加菌样品40%以上,表明该组菌群具有使堆肥腐熟进程加快的应用潜力.     

新型单级A/O程序无回流复合膜生物反应器处理氨氮废水的试验

采用单级A/O程序复合膜生物反应器(HSMBR)处理高氨氮废水,研究在低DO浓度下系统对有机物、氨氮和总氮的去除效率。研究结果表明:在低DO浓度下,CODCr、氨氮的平均去除率分别为94.4%和92.8%。由于进水CODCr/TN值仅为2.01,则使得总氮平均去除率仅为69.4%,但是当系统亚硝化累积率从60.5%～67.1%提高到83.5%～86.4%时,系统总氮去除率提高了17.7%。另外,维持低DO浓度可以实现亚硝酸型同时硝化反硝化反应。     

高效液相色谱-电感耦合等离子体质谱测定大米粉中的硒形态

建立了高效液相色谱-电感耦合等离子体质谱联用技术(HPLC-ICP-MS)测定大米粉中硒代胱氨酸(SeCys_2)、甲基-硒代半胱氨酸(MeSeCys)、亚硒酸根(Se(Ⅳ))、硒代蛋氨酸(SeMet)、硒酸根(Se(Ⅵ))等5种硒形态的分析方法.采用Hamilton PRP-X100分析柱,以pH 4和pH 6的20 mmol·L~(-1)的柠檬酸溶液辅以少量甲醇为流动相,在梯度洗脱条件下,9 min内可实现5种硒形态完全分离.SeCys_2、MeSeCys、Se(Ⅳ)、SeMet、Se(Ⅵ)的检出限分别为0.88、0.69、1.00、0.90、0.82μg·L~(-1).利用富硒小麦粉标准物质RM8436探讨了不同提取方式的提取效果.最终确定75 mmol·L~(-1) Tris-HCl(pH 7.5)添加XIV蛋白酶和Driselase酶作为提取剂,在37℃振荡提取3 h为大米样品前处理方法.利用该方法分析了富硒地区大米粉中的硒形态,结果表明,大米粉中的硒主要以有机硒形态为主,其中SeMet是最主要的硒形态,占总硒的90%左右.     

Biofiltration and disinfection codetermine the bacterial antibiotic resistome in drinking water: A review and meta-analysis

• Published data was used to analyze the fate of ARGs in water treatment. • Biomass removal leads to the reduction in absolute abundance of ARGs. • Mechanism that filter biofilm maintain ARB/ARGs was summarized. • Potential BAR risks caused by biofiltration and chlorination were proposed. The bacterial antibiotic resistome (BAR) is one of the most serious contemporary medical challenges. The BAR problem in drinking water is receiving growing attention. In this study, we focused on the distribution, changes, and health risks of the BAR throughout the drinking water treatment system. We extracted the antibiotic resistance gene (ARG) data from recent publications and analyzed ARG profiles based on diversity, absolute abundance, and relative abundance. The absolute abundance of ARG was found to decrease with water treatment processes and was positively correlated with the abundance of 16S rRNA (r² = 0.963, p<0.001), indicating that the reduction of ARG concentration was accompanied by decreasing biomass. Among treatment processes, biofiltration and chlorination were discovered to play important roles in shaping the bacterial antibiotic resistome. Chlorination exhibited positive effects in controlling the diversity of ARG, while biofiltration, especially granular activated carbon filtration, increased the diversity of ARG. Both biofiltration and chlorination altered the structure of the resistome by affecting relative ARG abundance. In addition, we analyzed the mechanism behind the impact of biofiltration and chlorination on the bacterial antibiotic resistome. By intercepting influent ARG-carrying bacteria, biofilters can enrich various ARGs and maintain ARGs in biofilm. Chlorination further selects bacteria co-resistant to chlorine and antibiotics. Finally, we proposed the BAR health risks caused by biofiltration and chlorination in water treatment. To reduce potential BAR risk in drinking water, membrane filtration technology and water boiling are recommended at the point of use.     

Characterization and diurnal variation of size-resolved inorganic water-soluble ions at a rural background site

Water-soluble inorganic ions in aerosol samples have been studied. The sample collection took place during summer in 2003 at a European background site which is operating within the framework of the European Monitoring and Evaluation Program. Gent type PM10 stacked filter unit (SFU) samplers were operated in parallel on a day and night basis to collect particles in separate coarse (2.0-10 microm) and fine (<2.0 microm) size fractions. Particulate masses were measured gravimetrically; the filters from one of the SFU samplers were analyzed by particle-induced X-ray emission spectrometry (PIXE) and instrumental neutron activation analysis (INAA). Filters from the other SFU sampler were analyzed by ion chromatography (IC) for major inorganic anions (MSA-, NO2(-), NO3(-), Cl-, Br-, SO4(2-), oxalate) and cations (Na+, K+, NH4(+), Mg2+, Ca2+). The water-soluble inorganic ions measured were responsible for 44% and 16% of the total fine and coarse particulate mass, respectively. In the fine size fraction, the main ionic components were SO4(2-) and NH4(+) accounting for about 90% of fine ionic mass. In the coarse fraction the main ionic components were Ca2+ and NO3(-), followed by SO4(2-). Significant day and night difference in the mass concentrations was observed only for fine NO3(-). The molar ratios of fine NH4(+) to SO4(2-) indicated their complete neutralization to (NH4)2SO4. According to the cation-to-anion ratios the coarse particles were alkaline, while the fine particles were slightly acidic or neutral. By comparing the corresponding concentrations obtained from PIXE/INAA and IC, we determined the water-extractable part of the individual species. We also investigated the effect of long-range transported air masses on the local air concentrations, and we found that the air quality of this background monitoring station was affected by regional pollution sources.