盐度变化对崇明东部河口潮滩氮营养盐循环影响实验模拟研究

以长江口咸淡水交互作用最为典型岸段崇明东部潮滩作为研究区域,运用实验模拟方法,定量地研究了盐度变化对潮滩生态系中无机氮的迁移、转化过程的影响。结果发现,盐度升高有利于沉积物中的NH4-N向上覆水扩散,但NO2-N和NO3-N的界面扩散呈现相反的变化趋势;沉积物中可交换态无机氮含量变化特征显示,在盐度变化剧烈的潮滩生态系统内,硝化作用可能是控制沉积物(尤其是表层沉积物)中无机氮分布的重要因素。     

Physicochemical interaction and its influence on deep bed filtration process

The capillary model was used to analyze the hydraulic conditions in the deep bed filtration process. The physicochemical interaction forces between the filter media and suspended particles and their influence on deep bed filtration process were also studied theoretically. Through the comparison of the hydraulic and physicochemical forces, the key influencing factors on the filtration process were proposed and investigated. Pilot study of the microflocculation deep bed filtration was carried out in the No. 9 Potable Water Treatment Plant of Beijing, and the experimental results of hydraulic head loss, particle distribution and entrapment were presented. The theoretical prediction was reasonably consistent with the experimental results under different conditions, which indicated that the regulation and control of micro-flocculation and deep bed filtration could be realized by the evaluation of the physicochemical interactions. Further theoretical and experimental research should be carried out to investigate the interaction mechanism and its application in the deep bed filtration and other cases.     

铜绿假单胞菌对铜和铅的吸附

研究了铜绿假单胞菌(Pseudomonas aeruginosa)对Cu和Pb的吸附特性.结果表明,相同条件下,该菌株对Cu~(2+)的吸附率低于Pb~(2+).对于单一重金属体系,吸附率均随时间的延长先上升后平稳变化,2 h达到稳定.吸附率随投菌量的增加先迅速增加,之后趋于平稳.对于Cu~(2+),投菌量为1 g·L~(-1)时吸附率达到稳定,而Pb~(2+)的吸附效果达到平稳时的投菌量为0.5 g·L~(-1).单位质量菌体对Cu~(2+)、Pb~(2+)的吸附量随投菌量的增加而下降.pH为3时,菌体的吸附效果较差,当pH为5~8时,2种重金属的吸附效果较高.对于活菌,Pb~(2+)对菌体吸附Cu~(2+)有抑制作用,而Cu~(2+)对菌体吸附Pb~(2+)的影响无明显规律.对于失活菌,P.aeruginosa吸附Pb~(2+)和Cu~(2+)的效果均随共存重金属浓度的增大而降低,但Cu~(2+)对Pb~(2+)的影响比Pb~(2+)对Cu~(2+)的影响更显著.扫描电镜观察发现,吸附后的菌体较吸附前聚集性更好.总体而言,P.aeruginosa能对水体中共存的Cu~(2+)和Pb~(2+)有较好的吸附效果.     

中国交通运输碳排放强度时空交互特征及跃迁机制

采取多种空间分析的方法,对2002～2020年交通运输业碳排放强度的时空交互特征进行剖析,通过得到的时空跃迁类型与面板分位数模型进行嵌套来探究其跃迁机制,最后根据不同的跃迁机制引入地理探测器模型来考察影响交通运输业碳排放强度的不同因素之间的交互作用效应.结果表明: ①中国30个省区的交通运输业碳排放强度整体呈波动下降态势,在空间上的聚集水平也相对稳定.②ESTDA的时空交互特征表明,西北地区和周边邻接空间单位的关系不稳定,变化和波动较大.而东部沿海城市等经济发达地区已经形成了成熟的交通运输网络,因此局部空间格局也相对稳定,但仍有部分地区存在时空竞争性.③交通运输业碳排放强度时空跃迁可分为4类驱动或制约模式（人口-经济-城镇化制约模式;人口-经济-城镇化-设施制约模式;技术-消费-产业驱动模式和技术-产业-规制驱动模式）.大部分省份受低分位制约和高分位驱动两种模式的影响,仅有少部分省份受高分位制约和低分位驱动的作用影响,且绝大多数属于西北或西南地区.④根据得出的交通运输业碳排放强度跃迁机制进一步引入地理探测器模型,注重多因子的协调发展,加强区域间协同治理.     

气泡雾化细水雾灭火有效性实验研究

气泡雾化技术是一种双流体的细水雾发生方法。作者根据气泡雾化的雾化机理自行设计了一种气泡雾化喷嘴，并通过先进的实验诊断手段和模拟实验，对该喷嘴产生的细水雾的雾场特性进行了测量，研究了其熄灭煤油火和酒精火的有效性，为发展新型的细水雾发生方法积累了必要的实验数据。     

考虑流固强耦合效应的深水桥墩地震反应分析

基于任意拉格朗日-欧拉(Aribitrary Lagrange-Euler,ALE)描述的Navier-Stokes方程,建立了考虑流固强耦合效应(Fluid-structure interaction,FSI)的深水桥墩地震反应分析整体有限元模型,分析了流固强耦合效应对桥墩墩身相对位移、剪力和弯矩反应的影响,讨论了不同水位下的流固耦合效应及其影响。算例结果表明:流固强耦合效应将使墩身位移和内力反应明显增大,增大幅度与输入地震波的频谱特性存在相关性;输入地震波的位移峰值越大,流固耦合效应对位移反应的影响越大,对内力反应的影响越小;水位对深水桥墩内力反应的影响较对位移的影响显著。     

微塑料与污染物相互作用的研究进展

微塑料广泛存在于环境中,其比表面积大、吸附性强,可吸附环境中的重金属、有机物、微生物等污染物,并改变它们在环境中的归趋;同时,这些污染物也会影响微塑料的性质及其在环境中的吸附、迁移、降解等行为,进而对生态环境产生潜在风险.开展微塑料与污染物的相互作用研究是进行微塑料环境风险评价的基础.当前相关研究多集中于微塑料的分布及其对不同污染物的吸附作用等方面,而污染物对微塑料性质的影响研究及吸附后它们性质变化的研究相对较少.据此本文总结了微塑料在环境中的分布情况;以吸附为例,梳理了相互作用过程的影响因素和机理;综述了微塑料与污染物相互作用的研究现状;最后基于此展望日后的研究方向,以期对未来微塑料的相关研究提供参考和帮助.     

铜绿微囊藻与藻际细菌Ma-B1菌株的相互作用

藻与细菌通常共生于淡水生境,形成藻-菌共生体系,藻际细菌是水体生态系统中的重要组成部分,对藻的消长起重要的调控作用,但有关藻际微环境中藻与细菌的互作机制还不清楚. 采用传统的细菌平板培养方法,从太湖优势水华藻——铜绿微囊藻(Microcystis aeruginosa)细胞表面分离出一株藻际细菌Ma-B1,基于生理、生化试验和16S rRNA基因序列分析,初步鉴定为甲基营养芽孢杆菌(Bacillus methylotrophicus). 通过测定细胞生长,分析藻-菌相互作用机理. 结果表明:一定浓度(＞60 μg/mL)的Ma-B1的胞外代谢物可显著抑制铜绿微囊藻的生长(培养基为BG11,28 ℃/日,22 ℃/夜,3 000 lx,光暗比为14 h∶10 h);铜绿微囊藻的胞外滤液(500 μL/mL)对Ma-B1的生长有一定的促进作用,但其总滤液(500 μL/mL)显著促进Ma-B1的生长;Ma-B1细胞对铜绿微囊藻的生长没有显著影响,而高浓度(藻菌比10∶1)的铜绿微囊藻细胞则可显著抑制Ma-B1的生长. 铜绿微囊藻与Ma-B1之间存在复杂的相互抑制或促进关系,共同影响着藻、菌在自然水体生态系统中的消长.      

Characterization of interaction between different adsorbents and copper by simulation experiments using sediment-extracted organic matter from Taihu Lake,China

The complex capacity of different types of organic matters （OMs） for Cu was quantitatively studied by simulation experiments using different adsorbents prepared from the sediment in Taihu Lake. The free Cu was measured with ion selective electrode （ISE） and complex capacity was calculated using a conditional formation constant model. The result indicated that the complex capacity was 0.048 mmol·g-1, 0.009 and 0.005 mmol.g-1for raw sediment, sediment without DOM, sediment without insoluble organic matters but with DOM and sediment without OM. Insoluble organic matter played a major role in the sorption of Cu in sediment and it can adsorb most Cu from water column. In the solution, Cu mainly existed as a complex with DOM and the DOM-Cu complexation capacity was 327.87 mg. g-1. The change of TOC and pH indicated ion-exchange in the interaction between free Cu and DOM. When the Cu concentration in the experiment reached the complex capacity of DOM, precipitation was the major mechanism to remove Cu from water phase, which was observed from UV absorbance change of DOM, that is, its aromaticity increased while molecular weight decreased. The desorption result indi- cated that DOM was more capable of desorbing Cu from adsorbents without OM than adsorbent with OM. The desorbed quantity with DOM was 1.65, 1.78 and 2.25 times higher than that with water for adsorbents without OM, raw adsorbents （sediment） and adsorbents without DOM.     

Effects of soil-structure interaction on fragility and seismic risk; a case study of power plant containment

Safety-related structures are designed to provide a safe environment for the occupants and equipment during and after earthquakes. This is due to the fact that any damage imposed to the systems might lead to catastrophic consequences. Seismic probabilistic risk assessment (SPRA) is a systematic approach for the quantification of the seismic risk. One of the crucial steps in this assessment is to determine the seismic capacity of the structures by fragility method. After a review of available methodologies, this article analyzes the seismic fragility for a typical power plant containment considering the effects of soil-structure interaction (SSI). The structure and underneath soil profile are analyzed as a unified model by the subtraction method. Two steps are considered for the assessment of seismic response: In the first step, a fixed-base hypothesis framework is implemented to the computational problem. The second step covers computations taking into account the SSI effects. Using the results of seismic response analysis and safety factor method, seismic fragility of the structure is computed and related fragility curves are developed. Finally, by comparing the fragility curves, the effects of SSI are quantified on the overall seismic risk.