长江经济带二氧化碳净排放时空演变特征及脱钩效应

研究区域CO₂净排放,对“碳中和”战略的实现具有重要意义.以长江经济带为例,在揭示1999～2018年长江经济带CO₂净排放时空演变特征的基础上,分析长江经济带不同区域社会发展与CO₂净排放的脱钩效应,以期为差异化区域产业发展和碳减排路径提供支持.结果表明：(1)1999～2012年长江经济带CO₂排放量上升了2 244.23×10⁶ t,碳汇量在研究时间段增长了148.07×10⁶ t;(2)长江经济带呈现“变绿”趋势,2013～2018年中高碳汇量区域(NPP>800 g·m^-2,以C计)面积较1999～2012年上升了23.25%;(3)长江经济带下游经济社会发展与CO₂净排放脱钩效应较强,上、中和下游强脱钩城市占长江经济带强脱钩城市的比例分别为12%、34%和54%.     

冻融作用下非饱和土热水力耦合数值模拟

基于多孔介质力学建立非饱和土在冻结过程中的耦合方程并进行单向冻融过程的数值求解及模拟分析。把非饱和冻土当作固体土颗粒、未冻水、冰晶及孔隙气组成的多孔多相介质,在小变形假定下建立了考虑冰?水、水?水汽相变的非饱和冻土的质量守恒、动量守恒方程,以及能量方程、耗散不等式、热平衡方程。结合冻融过程中的渗透特性以及应力应变关系,对单向冻融条件下的非饱和土柱封闭系统进行了数值求解,计算结果表明冷端冻结温度的数值对非饱和土柱的顶部位移影响较大,而对温度场的分布规律以及冻结区的含水率分布影响较小。研究结果可为寒区非饱和土工程的设计和施工提供指导。     

城市污水处理厂污水处理系统中四环素类药物耐药菌的分布特性研究

采用微生物平板涂布法对2家城市污水处理厂污水处理各阶段的四环素类药物(四环素、金霉素、土霉素)耐药菌分布进行了测定,分析了污水处理的各阶段对四环素类药物耐药菌的去除效果。结果显示,2家污水处理厂污水处理系统中均能检出土霉素、四环素、金霉素耐药菌,数量分布均为土霉素耐药菌>四环素耐药菌>金霉素耐药菌。3种耐药菌的浓度均在加氯消毒出水中为最小(在0～103 cfu/mL),在外排污泥中最大(高于进水浓度,在105～107 cfu/mL)。四环素耐药菌数从进水的1.1×105～1.6×105 cfu/mL降为出水的0～5.5×102 cfu/mL,说明污水处理过程对四环素耐药菌有一定的去除效果,但四环素耐药菌占总菌数的百分比没有明显下降或上升,相比于进水的1.1%～3.4%,出水仍然保持在3.1%～4.3%左右,表明污水处理过程中没有选择性的富集或去除四环素耐药菌。     

不同能量电子辐照下星用瑞侃导线性能退化研究

目的研究卫星上外露导线在空间辐射环境下的耐受能力。方法通过分析GEO轨道下在轨10年航天器外露瑞侃导线的辐照环境,研究低能和高能电子对导线性能的影响,地面模拟试验参数选择能量分别为45 keV和1 MeV,注量率均为8.3×10^10 e/(cm^2·s),总注量均为2×10^16 e/cm^2。考察瑞侃导线力学性能(断裂伸长率、拉伸强度)和电性能(击穿电压)的退化情况,并用XPS和SEM测试分析手段,对其电子辐照损伤机理进行研究。结果在不同能量电子辐照下,瑞侃导线的力学性能均略有下降,没有显著区别,而电学性能严重退化,且低能电子较高能电子对其电学性能影响更为严重,其击穿电压分别下降了100%和50%。结论通过剂量-深度分布计算,45 keV入射电子能量全部沉积在样品表层下数微米的深度范围内,完全被导线外皮吸收,对样品的损伤较大;而1 MeV入射电子能量绝大部分穿透表皮沉积在样品铜芯中,因而其性能退化情况相对低能电子较小。进一步的,通过SEM和XPS测试和分析发现,电子辐照造成瑞侃导线分子链降解,形成自由基以及气体,自由基的再交联是造成瑞侃导线损伤的重要机理。     

基于走航观测的长江三角洲地区大气污染特征及来源追踪

为了加强对长江三角洲地区大气污染分布特征和输送规律的认识,利用移动车载设备开展了不定期的走航观测,重点研究了2016-2018年冬季灰霾污染和春季光化学污染条件下长江三角洲地区的大气污染特征.结果表明,走航观测期间长江三角洲地区PM_2.5日均浓度为60~122 μg/m³,东部的常州、无锡一带,西部的合肥、芜湖地区,北部蚌埠、滁州一带,南部湖州、杭州地区的PM_2.5浓度较高,比其他地区高出20%~40%.O₃日均浓度水平为9~52 μg/m³,苏州、盐城、宣城与湖州地区浓度相对较高.运用FLEXPART_WRF模式,结合PM_2.5排放清单,分析了走航观测期间长江三角洲地区及沿线城市PM_2.5的潜在来源.结果发现,东风条件下,南通及上海地区为PM_2.5的潜在源区,北风条件下,连云港、盐城等地区贡献较大.运用FLEXPART前向轨迹计算模块,对一次污染个例过程进行了模拟,并利用走航观测结果进行了验证,发现模拟结果与走航观测结果的相关系数达到0.9.可见,长江三角洲地区存在区域性的PM_2.5和O₃污染,走航观测结合轨迹分析是追踪污染气团输送的有效手段.     

不同浓度蓝藻水华在好氧条件下的光合作用

为研究不同浓度蓝藻水华在曝气形成的好氧条件下的光合作用,本文按叶绿素a（Chla）浓度32.5,346.8,1413.7和14250.0μg/L设4个处理组（从低到高编号依次为I、Ⅱ、Ⅲ和IV）进行实验.结果表明,各处理Chla浓度均总体呈下降趋势,但均未出现发黑或发褐现象;各处理溶氧、pH值、NH₄⁺-N浓度和最大光合作用能力F_v/F_m均有一定差异（P<0.05）.快速光响应曲线的特征参数α、ETR_max和I_k表明,处理I、Ⅱ和Ⅲ中出现较高的绿藻、硅/甲藻的光能利用效率（P<0.05）,而处理IV中所有藻类的光能利用效率较低（P<0.05）.曝气增氧可以防止高浓度蓝藻水华形成黑水团;蓝藻水华初始Chla浓度约为32.5、346.8、1413.7μg/L时,在曝气形成的好氧条件下,蓝藻水华中会出现其它藻类如绿藻、硅/甲藻的生长,即藻类群落结构朝着多样化变化,对蓝藻水华形成控制.     

Application of interface material and effects of oxygen gradient on the performance of single-chamber sediment microbial fuel cells (SSMFCs)

Single-chamber sediment microbial fuel cells(SSMFCs) have received considerable attention nowadays because of their unique dual-functionality of power generation and enhancement of wastewater treatment performance. Thus, scaling up or upgrading SSMFCs for enhanced and efficient performance is a highly crucial task. Therefore, in order to achieve this goal, an innovative physical technique of using interface layers with four different pore sizes embedded in the middle of SSMFCs was utilized in this study.Experimental results showed that the performance of SSMFCs employing an interface layer was improved regardless of the pore size of the interface material, compared to those without such layers. The use of an interface layer resulted in a positive and significant effect on the performance of SSMFCs because of the effective prevention of oxygen diffusion from the cathode to the anode. Nevertheless, when a smaller pore size interface was utilized, better power performance and COD degradation were observed. A maximum power density of 0.032 mW/m~2 and COD degradation of 47.3% were obtained in the case of an interface pore size of 0.28 μm. The findings in this study are of significance to promote the future practical application of SSMFCs in wastewater treatment plants.     

炼油污水回用技术试验研究

本文中提出一个经济合理的炼油污水回用处理工艺“浮选-生物过滤-臭氧催化氧化-高效过滤”,对某炼油厂污水处理场出水进行了中试处理试验,结果表明,各项指标完全满足循环水厂补充水的水质要求,且该处理工艺具有很好的经济和社会效益.     

Spatial heterogeneity influences native and nonnative plant species richness

Spatial heterogeneity may have differential effects on the distribution of native and nonnative plant species richness. We examined the effects of spatial heterogeneity on native and nonnative plant species richness distributions in the central part of Rocky Mountain National Park, Colorado, USA. Spatial heterogeneity around vegetation plots was characterized using landscape metrics, environmental/topographic variables (slope, aspect, elevation, and distance from stream or river), and soil variables (nitrogen, clay, and sand). The landscape metrics represented five components of landscape heterogeneity and were measured at four spatial extents (within varying radii of 120, 240, 480, and 960 m) using the FRAGSTATS landscape pattern analysis program. Akaike's Information Criterion adjusted for small sample size (AICc) was used to select the best models from a set of multiple linear regression models developed for native and nonnative plant species richness at four spatial extents and three levels of ecological hierarchy (i.e., landscape, land cover, and community). Both native and nonnative plant species richness were positively correlated with edge density, Simpson's diversity index and interspersion/juxtaposition index, and were negatively correlated with mean patch size. The amount of variation explained at four spatial extents and three hierarchical levels ranged from 30% to 70%. At the landscape level, the best models explained 43% of the variation in native plant species richness and 70% of the variation in nonnative plant species richness (240-m extent). In general, the amount of variation explained was always higher for nonnative plant species richness, and the inclusion of landscape metrics always significantly improved the models. The best models explained 66% of the variation in nonnative plant species richness for both the conifer land cover type and lodgepole pine community. The relative influence of the components of spatial heterogeneity differed for native and nonnative plant species richness and varied with the spatial extent of analysis and levels of ecological hierarchy. The study offers an approach to quantify spatial heterogeneity to improve models of plant biodiversity. The results demonstrate that ecologists must recognize the importance of spatial heterogeneity in managing native and nonnative plant species.