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91.
扰动对悬浮颗粒物粒径及上覆水中磷形态分布的影响 总被引:5,自引:4,他引:1
为了探讨底泥扰动下上覆水中悬浮物粒径分布规律及该分布规律对水体中溶解性形态磷的影响,以太湖梅梁湾上覆水和沉积物作为实验对象,开展室内模拟实验.结合乌氏粒级标准分析了扰动下的水体中粒径变化情况以及上覆水中不同磷形态的变化规律.结果表明,扰动后的水体中,悬浮物粒径分布发生明显变化,其中小粒径颗粒(0~10μm)、中粒径颗粒(10~20μm)、大粒径颗粒(≥20μm)的平均占比分别升高、降低、不变.说明中小粒径颗粒物质有向大粒径转化的趋势.另外,在磷形态方面,随着粒径分布的周期性变化,DTP/TP、DIP/TP存在同样的周期性上升规律,数据显示DTP、DIP的变化并不明显,这说明扰动导致悬浮颗粒物对于磷的持留能力提高.另一方面,扰动下DTP/TP和DIP/TP平均值分别为19%和13%,其远低于对照实验(80%和69%),说明扰动引起的小粒径聚集与絮凝成大粒径颗粒的现象有利于上覆水中溶解性形态磷的吸附与沉降,并转化成颗粒态磷,进而延缓水体富营养化的发展进程. 相似文献
92.
烹饪油烟颗粒物粒径分布与扩散特性研究有助于解析其对室内空气质量和居民健康的影响,采用电子低压撞击器(ELPI)实时监测了油烟机开启和关闭状态下,模拟烹饪油烟发生处和3 m外位置处,0.03~10μm范围内油烟颗粒数浓度和质量浓度随粒径分布.油烟颗粒主要以655 nm以下的细颗粒为主.油烟机能够显著降低室内油烟浓度,开启油烟机后,油烟发生处颗粒数浓度从2.8×106个·cm-3降低到2.3×105个·cm-3,PM2.5(空气动力学直径≤2.5μm的颗粒)质量浓度从85.9 mg·m-3降低到6.2 mg·m-3.油烟机对PM10的净化效率高于PM2.5.油烟迅速从发生处扩散到3 m外,无通风状态下,总颗粒数浓度衰减达65%,PM2.5质量浓度衰减达75%.计算流体动力学(CFD)模拟了油烟机对油烟PM2.5质量浓度场扩散分布影响.红外摄像仪监测了油烟温度场分布扩散,以扇形向外扩散,伴随着油烟温度梯度降低. 相似文献
93.
SCAR处理城市生活污水的效能及其微生物群落动态分析 总被引:1,自引:1,他引:0
利用强化循环厌氧反应器(SCAR)处理模拟城市生活污水,研究不同负荷条件下的反应器运行特征、污泥特性及微生物种群结构.结果表明,水力停留时间(HRT)为6 h可以作为反应器高效运行的关键控制参数,该条件下污水化学需氧量(COD)去除率达到75%以上.随着反应器容积负荷的逐渐提高,颗粒污泥中辅酶F420和产甲烷活性(SMA)逐渐增加,胞外聚合物(EPS)含量也不断提高,其中紧密黏附EPS(TB-EPS)含量的增加尤其明显.厌氧颗粒污泥性状和反应器对污染物的去除效率同时受到污泥负荷和HRT的影响,微生物的群落结构及其在反应器中的空间分布也受到污泥负荷的影响,不同代谢特征微生物在反应器不同空间位置的相对丰度随着污泥负荷的调整而改变. 相似文献
94.
南京市不同季节大气亚微米颗粒物化学组分在线观测研究 总被引:6,自引:4,他引:2
本研究利用Aerodyne气溶胶化学组分监测仪在典型冬季重污染(12月)和夏季(8月)时期分别对南京城市大气非难熔性亚微米细颗粒物(NR-PM1)进行连续在线观测.结果表明,NR-PM1的组分平均贡献为(8月,12月):有机物(51.8%,44%)、硝酸盐(12.8%,23%)、硫酸盐(20.9%,13%)、铵盐(14%,16.8%)、氯化物(0.5%,3.2%).硝酸盐和硫酸盐在8月和12月呈现不同的日变化,如硝酸盐在12月白天呈现增加趋势,表明白天光化学作用对硝酸盐形成起主导作用;12月高浓度的硫酸盐在较高相对湿度的夜间被观测到,而8月在午后出现峰值,这表明在12月和8月硫酸盐的形成可能分别被液相生成和气相光化学作用驱动.8月臭氧污染期间,硝酸盐通过非均相反应在夜间快速形成,日出后,SO_2-4和氧化态有机气溶胶(OOA)同时增加表明二次气溶胶的形成;12月霾污染期间,二次无机组分和具有较高氧化度的OOA逐渐增加. 相似文献
95.
采用场发射带能谱扫描电镜(FESEM/EDS)法分析北京怀柔地区PM10与秸秆燃烧排放颗粒的形貌特征和成分差异.结果显示:秸秆燃烧后排放颗粒物多为大粒径颗粒,成分上都含S、Cl和K元素.含有生物质燃烧标志元素K的PM10颗粒物多为含Si、Al和Na元素的燃煤飞灰和矿物颗粒,与秸秆燃烧排放颗粒组成化学元素差异明显.据此推... 相似文献
96.
广州市是酸雨、可吸入颗粒物污染严重的地区之一,这与其能源结构以煤为主有关.广州发电厂以燃煤为主,其周围大气采样数据分析显示燃煤电厂可对周围大气环境造成较大影响,是酸雨前体物、可吸入颗粒物的主要排放源.酸雨破坏了生态环境,也阻碍了经济的发展;燃煤排放的烟尘细颗粒物属于可吸入颗粒物,其上附着的As、Cr等微量元素多为致癌物质和致基因毒性诱变物质,对周围居民的健康危害极大.最后, 对当前的环境保护工作及存在的问题进行了阐述. 相似文献
97.
98.
Seasonal and particle size-dependent variations in gas/particle partitioning of PCDD/Fs 总被引:1,自引:0,他引:1
Lee SJ Ale D Chang YS Oh JE Shin SK 《Environmental pollution (Barking, Essex : 1987)》2008,153(1):215-222
This study monitored particle size-dependent variations in atmospheric polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Two gas/particle partitioning models, the subcooled liquid vapor pressure (P(L)(0)) and the octanol-air partition coefficient (K(OA)) model, were applied to each particle sizes. The regression coefficients of each fraction against the gas/particle partition coefficient (K(P)) were similar for separated particles within the same sample set but differed for particles collected during different periods. Gas/particle partitioning calculated from the integral of fractions was similar to that of size-segregated particles and previously measured bulk values. Despite the different behaviors and production mechanisms of atmospheric particles of different sizes, PCDD/F partitioning of each size range was controlled by meteorological conditions such as atmospheric temperature, O(3) and UV, which reflects no source related with certain particle size ranges but mixed urban sources within this city. Our observations emphasize that when assessing environmental and health effects, the movement of PCDD/Fs in air should be considered in conjunction with particle size in addition to the bulk aerosol. 相似文献
99.
Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China 总被引:1,自引:0,他引:1
Phytoplankton variation in large shallow eutrophic lakes is characterized by high spatial and temporal heterogenity. Understanding
the pattern of phytoplankton variation and the relationships between it and environmental variables can contribute to eutrophic
lakes management. In this study Taihu Lake, one of the largest eutrophic fresh water lake in China, was taken as study area.
The water body of Taihu Lake was divided into five regions viz. Wuli bay (WB), Meilian Bay (MB), West Taihu Lake (WTL), Main
Body of Taihu Lake (MBTL) and East Taihu Lake (ETL). Concentrations of chlorophyll-a and the related environmental variables
were determined in each region in the period 2000–2003. Factor analysis and multivariate analysis were applied to evaluate
the interactions between phytoplankton variation and environmental variables. Results showed that the highest average concentrations
of TN, TP and Chl-a were observed in WB, followed in a descending order by MB and WTL, and the lowest concentrations of TN,
TP and Chl-a were observed in MBTL and ETL. Chl-a and TP concentrations in most regions (except ETL) declined during the study
period. It suggested that to some extent the lake was recovering from eutrophication. However, persistent ascending of TN
and NH4–N in all five regions indicated the deteriorating of water quality in the study period. Results of multivariate showed that
the relationships between phytoplankton biomass and environmental variables varied among regions. TP illustrated itself a
controlling role on phytoplankton in WB, MB, WTL and MBTL according to the significant positive relations to phytoplankton
biomass in these regions. Nitrogen could be identified as a limiting factor to phytoplankton biomass in ETL in view of the
positive correlations between TN and phytoplankton and between NH4–N and phytoplankton. Spatial variation of interactions between phytoplankton and environmental parameters suggested proper
eutrophication control measures were needed to restore ecological system in each region of Taihu Lake. 相似文献
100.
Chuaybamroong P Cayse K Wu CY Lundgren DA 《Environmental monitoring and assessment》2007,128(1-3):421-430
Ambient aerosols were collected during 2000–2001 in Gainesville, Florida, using a micro-orifice uniform deposit impactor (MOUDI)
to study mass size distribution and carbon composition. A bimodal mass distribution was found in every sample with major peaks
for aerosols ranging from 0.32 to 0.56 μm, and 3.2 to 5.6 μm in diameter. The two distributions represent the fine mode (<2.5 μm)
and the coarse mode (>2.5 μm) of particle size. Averaged over all sites and seasons, coarse particles consisted of 15% carbon
while fine particles consisted of 22% carbon. Considerable variation was noted between winter and summer seasons. Smoke from
fireplaces in winter appeared to be an important factor for the carbon, especially the elemental carbon contribution. In summer,
organic carbon was more abundant. The maximum secondary organic carbon was also found in this season (7.0 μg m−3), and the concentration is between those observed in urban areas (15–20 μg m−3) and in rural areas (4–5 μg m−3). However, unlike in large cities where photochemical activity of anthropogenic emissions are determinants of carbon composition,
biogenic sources were likely the key factor in Gainesville. Other critical factors that affect the distribution, shape and
concentration were precipitation, brushfire and wind. 相似文献