进料负荷调控培养好氧颗粒污泥的试验研究

采用厌好氧交替的SBR反应器,以进料负荷（即进水浓度）作为主要控制参数,研究了好氧颗粒污泥的关键培养技术.结果表明,在30 min的较长污泥沉降时间下,通过进料COD 0～900 mg·L^-1的负荷调控,可以有效控制反应器内污泥生长.初始接种污泥的沉降性能对颗粒污泥产生很重要,SVI值保持在20～50 mg·L^-1才能有助于颗粒污泥形成和培养.应用“空曝”这种强力负荷调控方式可大大改善污泥沉降性能,并促进颗粒污泥的形成.通过进料减负荷运行可很好实现污泥的“完全颗粒化”培养.颗粒化转变出现在进料浓度COD 400～500 mg·L^-1,污泥浓度约8～10 g·L^-1.“完全颗粒化”污泥的性能优异,粒径约1.0 mm,SVI值25～35 mg·L^-1,最大沉降速率60 m·h^-1.污泥颗粒过程的发生可能决定于SBR的独特间歇式运行,即基质浓度的贫富交替,减负荷运行可强化基质贫富交替并增大颗粒化过程的驱动力.     

Inorganic nitrogen removal of toilet wastewater with an airlift external circulation membrane bioreactor

Removal of inorganic nitrogen (inorganic-N) from toilet wastewater, using a pilot-scale airlift external circulation membrane bioreactor (AEC-MBR) was studied. The results showed that the use of AEC-MBR with limited addition of alkaline reagents and volumetric loading rates of inorganic-N of 0.19-0.40 kg inorganic-N/(m3·d) helped achieve the desired nitrification and denitrification. Furthermore, the effects of pH and dissolved oxygen (DO) on inorganic-N removal were examined. Under the condition of MLSS at 1.56-2.35 g/L, BOD5/ammonia nitrogen (NH/-N) at 1.0, pH at 7.0-7.5, and DO at 1.0-2.0 mg/L, the removal efficiencies of NH4 -N and inorganic-N were 91.5% and 70.0%, respectively, in the AEC-MBR. The cost of addition of alkaline reagent was approximately 0.5-1.5 RMB yuan/m3, and the energy consumption was approximately 0.72 kWh/m3 at the flux of 8 L/(m2·h).     

Anaerobic tapered fluidized bed reactor for starch wastewater treatment and modeling using multilayer perceptron neural network

Anaerobic treatability of synthetic sago wastewater was investigated in a laboratory anaerobic tapered fluidized bed reactor(ATFBR) with a mesoporous granular activated carbon(GAC)as a support material.The experimental protocol was defined to examine the effect of the maximum organic loading rate(OLR),hydraulic retention time(HRT),the efficiency of the reactor and to report on its steady- state performance.The reactor was subjected to a steady-state operation over a range of OLR up to 85.44 kg COD/(m~3.d).The COD removal efficiency was found to be 92% in the reactor while the biogas produced in the digester reached 25.38 m~3/(m~3·d) of the reactor. With the increase of OLR from 83.7 kg COD/(m~3.d),the COD removal efficiency decreased.Also an artificial neural network(ANN) model using multilayer perceptron(MLP)has been developed for a system of two input variable and five output dependent variables. For the training of the input-output data,the experimental values obtained have been used.The output parameters predicted have been found to be much closer to the corresponding experimental ones and the model was validated for 30% of the untrained data.The mean square error(MSE)was found to be only 0.0146.     

Phosphatase activity and culture conditions of the yeast Candida mycoderma sp. and analysis of organic phosphorus hydrolysis ability

Orthophosphate is an essential but limiting macronutrient for plant growth. About 67% cropland in China lacks sufficient phosphorus, especially that with red soil. Extensive soil phosphorus reserves exist in the form of organic phosphorus, which is unavailable for root uptake unless hydrolyzed by secretory acid phosphatases. Thus, many microorganisms with the ability to produce phosphatase have been exploited. In this work, the activity of an extracellular acid phosphatase and yeast biomass from Candida mycoderma was measured under different culture conditions, such as pH, temperature, and carbon source. A maximal phosphatase activity of 8.47 × 10^5±0.11× 10^5 U/g was achieved by C. Mycoderma in 36 hr under the optimal conditions. The extracellular acid phosphatase has high activity over a wide pH tolerance range from 2.5 to S.0 （optimum pH 3.5）. The effects of different phosphorus compounds on the acid phosphatase production were also studied. The presence of phytin, lecithin or calcium phosphate reduced the phosphatase activity and biomass yield significantly. In addition, the pH of the culture medium was reduced significantly by lecithin. The efficiency of the strain in releasing orthophosphate from organic phosphorus was studied in red soil （used in planting trees） and rice soil （originating as red soil）. The available phosphorus content was increased by 230% after inoculating 20 days in rice soil and decreased by 50% after inoculating 10 days in red soil. This work indicates that the yeast strain C. mycoderma has potential application for enhancing phosphorus utilization in plants that grow in rice soil.     

汉江上游金水河流域氮湿沉降

汉江上游金水河流域是南水北调工程的重要水源涵养区,但是氮污染已成为该流域水质的主要威胁因素.该研究对汉江的金水河流域开展了为期1 a(2012-02~2013-02)的氮湿沉降观测,并利用氮输出模型估算了氮湿沉降对河流氮负荷的贡献量.结果表明雨水中总氮(DTN)的浓度在0.24~2.89 mg·L-1之间,铵态氮(NH+4-N)、硝态氮(NO-3N)及有机氮(DON)分别占42.8%、13.3%和43.9%;雨水氮浓度随降雨量增大而变小,明显受到降雨的稀释作用.流域内氮湿沉降主要来自人类活动,沉降负荷在4.97~7.00 kg·(hm2·a)-1之间,受降雨量的主要影响,上游地区的氮湿沉降负荷>下游地区>中游地区,春夏两季约占全年氮湿沉降的81%.流域氮湿沉降对河流氮负荷贡献量约为34 000~46 000 kg,只占流域氮肥贡献量的5.05%~6.78%,远小于流域内农业活动化肥氮的贡献量,不是河流氮的主要来源.     

低温条件IASBR处理养猪沼液脱氮性能研究

以实际养猪沼液为研究对象,考察分步进水间歇曝气序批式生物反应器(IASBR)在低温条件下的脱氮性能.结果表明:IASBR反应器的硝化性能临界水温为10℃,水温低于10℃时硝化性能急剧下降,水温10℃以上时氨氮去除率达到90%以上,且水温15℃以上氨氮负荷极限可达到0.30 kg·m~(-3)·d~(-1);低碳氮比(COD/TN)1.7±0.3条件下,反硝化性能临界水温为20℃,20℃以上时TN去除率可保持在80%以上,最高达90%,20℃以下时脱氮效率明显降低,出现亚硝态氮积累现象.此外,IASBR反应器脱氮除磷效率高,温度对TOC和TP去除率的影响不敏感.不排泥条件下,进水COD/TN为3.1±0.4时,TN去除率高达90%以上,TOC和TP去除率分别高达83.6%±3.9%和58.5%±17.8%;随后COD/TN降低至1.7±0.3后,TN去除率仍高达80%以上,TOC和TP去除率仅略有降低分别为77.3%±4.6%、53.1%±10.1%.     

加载速率对钢筋混凝土梁动态性能的影响

引入钢筋和混凝土的应变率效应,利用有限元分析软件ABAQUS中的显示动力分析模块ABAQUA/Explicit,对钢筋混凝土梁在不同单调加载速率下的受力性能进行了数值模拟.通过比较不同加载速率下的分析结果,探讨了地震作用下的动态荷载对钢筋混凝土梁受力性能的影响.分析结果表明,在动态荷载作用下,钢筋混凝土梁的受力性能有显...     

生物滴滤塔处理模拟甲硫醚废气

在常温条件下,采用生物滴滤塔处理模拟甲硫醚废气,考察了气体空床停留时间(EBRT)、容积负荷、喷淋密度及营养液pH对生物滴滤塔性能的影响。实验结果表明:当EBRT为90 s、进气甲硫醚质量浓度为150 mg/m~3、喷淋密度为0.65 m~3/(m~2·h),营养液pH为6.8时,甲硫醚去除率为90%;容积负荷高于15 g/(m~3·h)时,对生物滴滤塔的性能产生抑制作用;EBRT为90 s及60 s时,最佳喷淋密度分别为0.56~0.65 m~3/(m~2·h)及0.65~0.75 m~3/(m~2·h);降解甲硫醚的微生物对pH的变化较敏感,最适营养液pH为6~7。     

Modeling the carbon dynamics of the La Grande hydroelectric complex in northern Quebec

A mechanistic semi-empirical carbon cycle model of the La Grande reservoir complex in northern Quebec, Canada was conceived in order to investigate the climate impact of such a large alteration of the continental water cycle. The model includes inputs from the drainage basin, organic matter release from flooded soils, CO₂ emissions across the water-atmosphere interface and sedimentation. Most input data stems from previous research by our group on those ecosystems. The model includes the seven reservoirs of the La Grande complex and was run for periods of 50 and 100 years. Terrigeneous dissolved, particulate and suspended soil carbon fluxes and concentrations were computed. Over 100 years, 31.3 × 10¹² g C are released from flooded soils, equivalent to 28-29% of inputs from the drainage basin. 40-74% of dissolved organic carbon is mineralized. CO₂ fluxes over 100 years are 50.5-79.8 × 10¹² g C, 46.4-67.9 × 10¹² g C more than in the absence of reservoirs. The increase in mineralization of organic matter and in CO₂ emissions is a result of the increase in cumulated water residence time due to the creation of the reservoirs. Changes in other carbon sinks and sources likely offset a part of this additional carbon flux to the atmosphere. In the first years following flooding of the reservoir, organic carbon release from flooded soils exceeds CO₂ emissions, implying the downstream export of large quantities of eroded soil organic carbon. After this initial period, CO₂ emissions are fuelled by organic carbon originating from the drainage basin.     

Deposition of reactive nitrogen during the Rocky Mountain Airborne Nitrogen and Sulfur (RoMANS) study

Increases in reactive nitrogen deposition are a growing concern in the U.S. Rocky Mountain west. The Rocky Mountain Airborne Nitrogen and Sulfur (RoMANS) study was designed to improve understanding of the species and pathways that contribute to nitrogen deposition in Rocky Mountain National Park (RMNP). During two 5-week field campaigns in spring and summer of 2006, the largest contributor to reactive nitrogen deposition in RMNP was found to be wet deposition of ammonium (34% spring and summer), followed by wet deposition of nitrate (24% spring, 28% summer). The third and fourth most important reactive nitrogen deposition pathways were found to be wet deposition of organic nitrogen (17%, 12%) and dry deposition of ammonia (14%, 16%), neither of which is routinely measured by air quality/deposition networks operating in the region. Total reactive nitrogen deposition during the spring campaign was determined to be 0.45 kg ha⁻¹ and more than doubled to 0.95 kg ha⁻¹ during the summer campaign.