相对两面受火的方钢管钢筋混凝土柱耐火极限

目前有关方钢管钢筋混凝土柱抗火性能的研究主要是针对四面均匀受火的情况,而在实际中,会出现相对两面受火这一情况。为此,利用ABAQUS分析软件建立了方钢管钢筋混凝土柱在相对两面受火作用下高温反应有限元模型,在验证模型正确性的基础上,对其耐火极限进行参数分析,包括荷载比、截面边长、长细比、荷载偏心率、钢材和混凝土强度及配筋率等,得到了相对两面火灾作用下方钢管钢筋混凝土柱耐火极限的主要影响参数和影响规律,并给出了该受火条件下方钢管钢筋混凝土柱耐火极限的简化计算方法。研究结果表明:荷载比、截面边长、长细比是相对两面火灾作用下方钢管钢筋混凝土柱耐火极限的主要影响参数,表现为截面边长越大,荷载比和长细比越小,构件的耐火极限越大。     

溶解氧对序批式全程自养脱氮工艺运行的影响

在常温22~26℃下,接种成熟的全程自养脱氮(CANON)污泥至2个相同的SBR反应器,通过设置不同的初期DO及不同的DO梯度,考察了DO控制策略及DO值对CANON工艺脱氮性能,稳定性及污泥形态的影响.结果表明,初期DO为0.05~0.10mg/L的反应器可以稳定运行,氨氮和总氮的平均去除率分别为99%和85.4%,而初期DO为(0.40±0.5)mg/L的反应器的氨氮和总氮平均去除率分别为99%和0;在反应器运行稳定之后,逐渐增加DO浓度, DO为0,0.2,0.4,0.5mg/L时的厌氧氨氧化反应速率分别为35.95,23.89,31.50,19.25mgN/(L·h),延时曝气2h后反应器仍可正常运行.在一定DO范围内,CANON反应器的活性随着DO的升高而升高,较高DO对接种初期的CANON反应器冲击较大且不可逆,对稳定运行的CANON反应器的影响较小;但是当CANON工艺稳定运行之后,短时高DO对CANON工艺的影响是可逆的.显微镜照片显示稳定运行的CANON反应器内出现了颗粒化的趋势.     

气体分离循环对高温厌氧消化过程的影响

采用厌氧序批式反应器,研究了气体循环(包括气体直接循环和脱除气体中的氢气后循环)对以葡萄糖和乙酸钠配制的模拟废水在高温厌氧消化过程中乙酸代谢速率、出水性质及微生物相的影响,并采用尺寸排除色谱和三维荧光光谱技术,对溶解性微生物产物(SMP)的分子量分布和荧光物质组成进行了分析.结果显示,气体循环使得出水中残余挥发性脂肪酸的浓度由238.2mg/L(未脱氢)和129.6mg/L(脱氢)分别减少至8.5mg/L和8.2mg/L,并最终降低了SMP产量,45d时分别降至气体循环前的36.8%和59.2%.脱氢气体循环促进了乙酸化和乙酸氧化,导致了微生态环境和甲烷化基质浓度的差异,促进了高分子量SMP向低分子量SMP的转化,污泥中的微生物形态亦发生了较大变化.可见气体循环改善了基质与微生物的混合状况,改善了出水水质,而脱氢气体循环加速了乙酸的代谢,有望更快速地解除易降解有机物高温厌氧消化过程中的酸抑制,提高厌氧消化效率.     

Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of gray wolf populations in western North America

Centrality metrics evaluate paths between all possible pairwise combinations of sites on a landscape to rank the contribution of each site to facilitating ecological flows across the network of sites. Computational advances now allow application of centrality metrics to landscapes represented as continuous gradients of habitat quality. This avoids the binary classification of landscapes into patch and matrix required by patch-based graph analyses of connectivity. It also avoids the focus on delineating paths between individual pairs of core areas characteristic of most corridor- or linkage-mapping methods of connectivity analysis. Conservation of regional habitat connectivity has the potential to facilitate recovery of the gray wolf (Canis lupus), a species currently recolonizing portions of its historic range in the western United States. We applied 3 contrasting linkage-mapping methods (shortest path, current flow, and minimum-cost-maximum-flow) to spatial data representing wolf habitat to analyze connectivity between wolf populations in central Idaho and Yellowstone National Park (Wyoming). We then applied 3 analogous betweenness centrality metrics to analyze connectivity of wolf habitat throughout the northwestern United States and southwestern Canada to determine where it might be possible to facilitate range expansion and interpopulation dispersal. We developed software to facilitate application of centrality metrics. Shortest-path betweenness centrality identified a minimal network of linkages analogous to those identified by least-cost-path corridor mapping. Current flow and minimum-cost-maximum-flow betweenness centrality identified diffuse networks that included alternative linkages, which will allow greater flexibility in planning. Minimum-cost-maximum-flow betweenness centrality, by integrating both land cost and habitat capacity, allows connectivity to be considered within planning processes that seek to maximize species protection at minimum cost. Centrality analysis is relevant to conservation and landscape genetics at a range of spatial extents, but it may be most broadly applicable within single- and multispecies planning efforts to conserve regional habitat connectivity.     

高氨氮废水半短程硝化控制及曝气经济性运行优化

本研究进水模拟了污泥消化液、晚期垃圾渗滤液等高氨氮低碱度低碳氮比的废水,在碱度缺乏（不足以实现完全短程硝化）条件下获得了稳定的半短程硝化,并通过曝气量和污泥浓度（MLSS）双因素调控,实现了半短程硝化的高效经济运行.研究表明,进水碱度缺乏条件下短程硝化体系出水亚硝氮/氨氮浓度比值y与进水HCO₃^-∶NH₄⁺物质的量的比x之间存在化学计量关系 y=x/（2-x）,当进水HCO₃^-∶NH₄⁺物质的量的比为1,即进水碱度/氨氮浓度（mg·L^-1）比值为3.6时可实现半短程硝化,并通过游离氨（FA）和游离亚硝酸（FNA）联合抑制能够实现稳态运行,亚硝酸盐积累率平均可达95%以上.实验探究了MLSS和曝气量对短程硝化反应器曝气经济性和氨氧化率的影响,通过平衡两因素作用,在保证处理效果的同时最大程度提升了反应系统的曝气经济性：当曝气量为36 L·h^-1和MLSS为2243 mg·L^-1时,反应器的曝气经济性较好,可节省约40%曝气量,且能维持较高的容积氨氮负荷（0.93 kg·m^-3·d^-1）.     

生物膜系统中部分反硝化实现特性

以移动床生物膜反应器（moving-bed biofilm reactor,MBBR）为例,考察生物膜系统中部分反硝化NO₂^--N积累特性,并通过耦合厌氧氨氧化验证生物膜系统中部分反硝化耦合厌氧氨氧化（partial denitrification with anaerobic ammonium oxidation,PD+ANAMMOX）工艺的可行性.结果表明,在C/N为3.0,填充率为20%的条件下,经过40 d的富集培养,实现部分反硝化,NO₂^--N积累率达（69.38±3.53）%;接种生物膜NO₃^--N还原酶（nitrate reductase,NAR）活性为0.03 μmol·（min·mg）^-1,NO₂^--N还原酶（nitrite reductase,NIR）活性为0.18 μmol·（min·mg）^-1,富集培养后生物膜NAR活性增至0.45 μmol·（min·mg）^-1,NIR活性降至0.02 μmol·（min·mg）^-1,从酶学角度验证了部分反硝化实现;高通量测序结果显示,Thauera属从0.3%增加至37.27%,在微生物群落中占主导地位,该菌属被认为是部分反硝化过程的主要功能菌.随后与厌氧氨氧化耦合,出水总氮达（6.41±1.50） mg·L^-1,总氮去除率达（88.16±2.71）%,证明了生物膜系统中PD+ANAMMOX的可行性及稳定性.     

基于高光谱的土壤全氮含量估测

基于高光谱(350~2 500 nm)数据,研究了我国中、东部地区5种主要类型土壤全氮含量与高光谱反射率之间的定量关系,构建了基于偏最小二乘法(PLS)、BP神经网络(BPNN)和特征光谱指数的土壤全氮含量估算模型。结果表明,以500~900 nm、1 350~1 490 nm区域波段反射率经Norris滤波平滑后的一阶导数光谱为基础,构建的基于PLS和BPNN的土壤全氮含量估算模型精度较高,建模决定系数分别为0.81和0.98;独立观测资料检验结果显示,模型预测决定系数分别为0.81和0.93,均方根误差RMSE为0.219 g·kg^-1和0.149 g·kg^-1,相对分析误差RPD为2.28和3.36,说明PLS和BPNN模型对土壤全氮含量具有较高的预测精度。在光谱指数的分析中,基于近红外872 nm和1 482 nm 两个波段的差值光谱指数DI(NDR₈₇₂,NDR₁₄₈₂)对土壤全氮含量最敏感,建模决定系数、预测决定系数、RMSE和RPD分别为0.66、0.53、0.31 g·kg^-1和1.60。比较而言,三种方法估算土壤氮含量的精度顺序为BPNN模型＞PLS＞DI(NDR₈₇₂,NDR₁₄₈₂),基于PLS和BPNN两种方法建立的土壤全氮含量高光谱估测模型具有较高的精度,可以用来精确估算土壤全氮含量;基于两波段构建的DI(NDR₈₇₂,NDR₁₄₈₂)预测效果低于前两者,但也可以用来粗略估测土壤中的全氮含量。     

An Optimization Method for Estimating Constituent Mean Concentrations in Base Flow‐Dominated Flow

Pollutant coefficients have been widely used to assess runoff nonpoint source pollution from individual land uses (e.g., agricultural, residential) of a watershed. Pollutant coefficients, known as event mean concentrations (EMCs), were developed by the U.S. Environmental Protection Agency's Nationwide Urban Runoff Program (NURP) to serve as a national measure for characterizing pollutant loading in a receiving water body. The term “baseflow pollutant coefficient (BPC)” is used in this study as a surrogate for EMC to describe mean concentration of pollutants in base flow‐dominated flow. A method for characterizing base flow quantity and quality for different land uses was explored using inverse modeling with two optimization techniques (a least square method and a genetic algorithm [GA] optimization), land use information, and streamflow quantity and quality data. The inverse model was formulated as a constrained minimization problem and demonstrated with data for 15 watersheds in Indiana. Results showed that estimated pollutant coefficients are comparable to the published literature. This indicates that the proposed method has the potential to effectively estimate constituent mean concentrations for pollutant load determination in gauged and ungauged watersheds, albeit more analysis with larger and more robust datasets is desirable to further refine and validate the accuracy of the approach.     

短程硝化的生化机理及其动力学

短程硝化的生化反应机理和动力学是生物脱氮技术的理论基础,同时也是生物脱氮工艺设计、运行科学化和合理化的重要依据.基于短程硝化的生化机理、氨氧化菌的电子传递(能量产生)模式,从微生物学和化学计量学两个方面详细论述了短程硝化一系列复杂的生化反应过程.由此可知,短程硝化是一个涉及多种酶及多种中间产物,并伴随着电子(能量)传递的复杂生化反应过程,是基质(NH4 -N)利用(产能代谢)和微生物(氨氧化菌)增殖(合成代谢)两类反应的综合,因此,研究氨氮比利用速率和氨氧化菌比增殖速率动力学则是对短程硝化反应的深层次研讨.并建议采用积分法和微分法来确定动力学参数μnmax、KN、vnmax.     

基于地统计模型的上海大气污染物多建模方法的比较

地统计模型被广泛应用于环境空气污染物暴露模拟,但不同建模方法及其模拟结果之间的对比研究较少.基于上海2016~2019年55个环境空气监测点位的NO₂和PM_2.5观测数据,以及交通路网、排放源兴趣点和卫星数据等地统计变量,应用偏最小二乘回归（PLS）、监督学习线性回归（SLR）和机器学习随机森林（RF）这3种建模方法创建年暴露模型,并进一步应用普通克里金插值（OK）法分析模型残差,构建复合模型.应用交叉验证对模型的模拟效果进行检验,选取每一种建模方法的最优模型结构（是否应用OK）作为最终模型.结果表明,NO₂模型中表现最好的是RF-OK （R_mse²为0.70~0.82）和PLS-OK模型（R_mse²为0.78~0.84）;PM_2.5模型中PLS模型（R_mse²为0.62~0.71）优于SLR-OK （R_mse²为0.40~0.79）和RF-OK （R_mse²：0.31~0.56）模型.应用3种建模方法对上海1 km网格开展年暴露模拟和对比,NO₂模型间模拟结果的相关性（r为0.82~0.91）高于PM_2.5模拟结果的相关性（r为0.66~0.96）.基于3种模型2019年的模拟结果,评估了上海NO₂和PM_2.5的人群暴露水平.