新型扩散云室搭建及其对黄山地区大气冰核的观测研究

本研究利用自行搭建的大气冰核高压静电采样器和静力真空水汽扩散云室,并结合其他大气冰核及气象要素观测仪器,于2011年5～9月及2012年9～10月在黄山三层不同高度上同时进行大气冰核及相关气象要素的连续观测。结果显示:黄山地区总冰核数浓度平均为18.74 L-1,凝结冻结核化冰核数浓度平均为0.79 L-1,凝华核化冰核数浓度平均为0.19 L-1。黄山地区冰核数浓度,随着高度的增加而减小;且存在春季较高、秋季居中、夏季较少的季节变化规律;下午达到一天中的最高值,夜晚达到一天中的最低值;总冰核数浓度较北方少。黄山山顶冰核数浓度随活化温度的升高而减小,随过饱和度的升高而增大,随风速的增强而增大,长期主要由西南风向山顶的输送,且其主要由大粒子来充当。     

强壮前沟藻生消过程中水色组分吸收特性

依据2011-07强壮前沟藻藻种培养实验期间的实测数据,分析了其生消过程中各水色组分的吸收特性。结果表明:在生消过程的始末阶段,以非色素颗粒物和有色可溶性有机物(CDOM)吸收为主,中间阶段,则以浮游植物吸收为主。浮游植物吸收光谱在440nm和675nm存在明显的特征峰;在整个生消周期内先上升后降低,直至消失;非色素颗粒物和CDOM吸收光谱随波长增加均呈指数衰减趋势,前者光谱幅高先增后减,但后者变化无明显规律。各水色组分与叶绿素质量浓度均存在一定的相关关系,无论在生长期或是消亡期,浮游植物、非色素颗粒物吸收系数与叶绿素质量浓度存在正相关关系;但CDOM吸收系数与叶绿素质量浓度在生长期存在正相关关系,而在消亡期变为负相关关系。这可作为改进赤潮水体叶绿素质量浓度遥感算法、有效判别赤潮以及识别赤潮优势藻种等的科学依据。     

Zinc and copper bioaccumulation in fish from Laizhou Bay,the Bohai Sea

Abstract Zinc （Zn） and copper （Cu） concentrations were determined in the tissues （muscle, stomach, liver, gills, skin, and gonads） of five commercial fish species （mullet Liza haematocheilus, flathead Platycephalus indicus, mackerel Scomberomorus niphonius, silver pomfret Pampus argenteus, and sea bass Lateolabrax japonicus） from Laizhou Bay in the Bohai Sea. Metal bioaccumulation was highest in the metabolically active tissues of the gonads and liver. Bioconcentration factors for Zn were higher in all tissues （gonads 44.35, stomach 7.73, gills 7.72, liver 5.61, skin 4.88, and muscle 1.63） than the corresponding values for Cu （gonads 3.50, stomach 3.00, gills 1.60, liver 5.43, skin 1.50, and muscle 0.93）. Mackerel tissues accumulated metal to higher concentrations than did other fish species, but bioaccumulation levels were not significantly correlated with the trophic levels of the fish. Zn and Cu concentrations in the tissues were generally negatively correlated with fish length, except for a few tissues of sea bass. Risk assessment based on national and international permissible limits and provisional tolerances for weekly intake of Zn and Cu revealed that the concentrations of these two metals in muscle were relatively low and would not pose hazards to human health.     

Measurement of trace nitrate concentrations in seawater by ion chromatography with valve switching

An ion chromatographic method with a valve switching facility was developed to determine trace nitrate concentrations in seawater using two pumps, two different suppressors, and two columns. A carbohydrate membrane desalter was used to reduce the high concentrations of sodium salts in samples. In this method, trace nitrate was eluted from the concentrator column to the analytical columns, while the matrix flowed to waste. Neither chemical pre-treatment nor sample dilution was required. In the optimized separation conditions, the method showed good linearity （R〉0,99） in the 0.05 and 50 mg/L concentration range, and satisfactory repeatability （RSD〈5%, n=6）. The limit of detection for nitrate was 0.02 mg/L. Results showed that the valve switching system was suitable and practical for the determination of trace nitrate in seawater.     

Use of tetracycline hydrochloride and alizarin complexone for immersion marking black rockfish Sebastes schlegelii

We tested the utility of chemical marking techniques in the juvenile black rockfish Sebastes schlegelii. Juveniles(30–40 mm total length) were immersed in a range of tetracycline hydrochloride(TC) solutions at concentrations ranging from 300 to 500 mg/L, and alizarin complexone(ALC) solutions at concentrations ranging from 200 to 400 mg/L in filtered sea water(salinity of 30) for 24 h, respectively. Otoliths(sagittae, asteriscus), scales, fin rays(dorsal, pectoral, ventral, anal, and caudal fin rays), and fin spines(dorsal, ventral, and anal fin spines) were sampled and used to detect fl uorescent marks after a 60-day growth experiment. With the exception of 300 mg/L TC, acceptable marks were produced in the otoliths and fin spines by all concentrations of TC and ALC. In particular, we observed clearly visible marks in the sagittae, asteriscus, and fin spines under normal light at concentrations of 200–400 mg/L, 250–400 mg/L, and 250–400 mg/L ALC, respectively. Scales and fin rays had acceptable marks at much higher concentrations(≥350 mg/L TC, ≥250 mg/L ALC for scales and ≥350 mg/L TC, ≥300 mg/L ALC for fin rays). The best mark quality(i.e., acceptable marks were observed in all sampled structures after immersion marking) were obtained following immersion in TC at between 350–500 mg/L, and ALC between 300–400 mg/L. In addition, there was no significant difference in survival and growth of TC and ALC marked fish compared to their controls up to 60 days post-marking( P 0.05).     

海水酸化会削弱鲨鱼的感官功能

<正>一般说来,海洋肉食动物鲨鱼在很大程度上靠嗅觉寻找分散于广阔环境中的猎物。然而,研究人员不久前在Global Change Bilolgy杂志在线版上报道说:根据预测,随着全球海洋的变化,鲨鱼这种久经历练的捕猎能力可能会受到损害。由于人类活动释放到大气中的二氧化碳被海水吸收,海水的酸度变得越来越大。以前的研究表明,富含二氧化碳的酸性海水可能会削弱珊瑚礁鱼类嗅     

The Soil Moisture and Net Primary Production Affected by CO_2 and Climate Change Using a Coupled Model

In this paper, a coupled model was used to estimate the responses of soil moisture and net primary production of vegetation （NPP） to increasing atmospheric CO2 concentration and climate change. The analysis uses three experiments simulated by the second-generation Earth System Model （CanESM2） of the Canadian Centre for Climate Modelling and Analysis （CCCma）, which are part of the phase 5 of the Coupled Model Intercomparison Project （CMIP5）. The authors focus on the magnitude and evolution of responses in soil moisture and NPP using simulations modeled by CanESM, in which the individual effects of increasing CO2 concentration and climate change and their combined effect are separately accounted for. When considering only the single effect of climate change, the soil moisture and NPP have a linear trend of 0.03 kg m^-2 yr^-1 and-0.14 gC m^- 2 yr^-2, respec- tively. However, such a reduction in the global NPP results from the decrease of NPP at lower latitudes and in the Southern Hemisphere, although increased NPP has been shown in high northern latitudes. The largest negative trend is located in the Amazon basin at -1.79 gC m^-2 yr^-2. For the individual effect of increasing CO2 concentration, both soil moisture and NPP show increases, with an elevated linear trend of 0.02 kg m^-2 yr^-1 and 0.84 gC m^-2 yr^-2, respectively. Most regions show an increasing NPP, except Alaska. For the combined effect of increasing atmospheric CO2 and climate change, the increased soil moisture and NPP exhibit a linear trend of 0.04 kg m^2 yr^-1 and 0.83 gC m^2 yr^-2 at a global scale. In the Amazon basin, the higher reduction in soil moisture is illustrated by the model, with a linear trend of-0.39 kg m^-2 yr^-1, for the combined effect. Such a change in soil moisture is caused by a weakened Walker circulation simulated by this coupled model, compared with the single effect of increasing CO2 concentration （experiment M2）, and a consequence of the reduction in NPP is also shown in this area, with a linear trend of-     

Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model

In this study, the authors developed an en- semble of Elman neural networks to forecast the spatial and temporal distribution of fossil-fuel emissions （ff） in 2009. The authors built and trained 29 Elman neural net- works based on the monthly average grid emission data （1979-2008） from different geographical regions. A three-dimensional global chemical transport model, God- dard Earth Observing System （GEOS）-Chem, was applied to verify the effectiveness of the networks. The results showed that the networks captured the annual increasing trend and interannual variation of ff well. The difference between the simulations with the original and predicted ff ranged from -1 ppmv to 1 ppmv globally. Meanwhile, the authors evaluated the observed and simulated north-south gradient of the atmospheric CO2 concentrations near the surface. The two simulated gradients appeared to have a similar changing pattern to the observations, with a slightly higher background CO2 concentration, - 1 ppmv. The results indicate that the Elman neural network is a useful tool for better understanding the spatial and tem- poral distribution of the atmospheric C02 concentration and ft.     

The distribution of chlorophyll a and its influencing factors in different regions of the Bering Sea

The distribution of chlorophyll a(Chl a) and its relationships with physical and chemical parameters in different regions of the Bering Sea were discussed in July 2010. The results showed the seawater column Chl a concentrations were 13.41–553.89 mg/m2 and the average value was 118.15 mg/m2 in the study areas. The horizontal distribution of Chl a varied remarkably from basin to shelf in the Bering Sea. The regional order of Chl a concentrations from low to high was basin, slope, outer shelf, inner shelf, and middle shelf. The vertical distribution of Chl a was grouped mainly from single-peak type in basin, slope, outer shelf, and middle shelf, where the deep Chl a maxima(DCM) layer was observed at 25–50 m, 30–35 m, 36–44 m, and 37–47 m, respectively. The vertical distribution of Chl a mainly had three basic patterns: standard single-peak type, surface maximum type, and bottom maximum type in the inner shelf. The analysis also showed that the transportation of ocean currents may control the distribution of Chl a, and the effects were not simple in the basin of the Bering Sea. There was a positive correlation between Chl a and temperature, but no significant correlation between Chl a and nutrients. The Bering Sea slope was an area deeply influenced by slope current. Silicate was the factor that controlled the distribution of Chl a within parts of the water in the slope. Light intensity was an important environmental factor in controlling seawater column Chl a in the shelf, where Chl a was limited by nitrate rather than phosphate within the upper water. Meanwhile, there was a positive relationship between Chl a and salinity. Algal blooms broke out at Sta. B6 of the southwestern St. Lawrence Island and Stas F6 and F11 in the middle of the Bering Strait.     

养殖密度对大杂交鲟幼鱼体组份和血液生化指标的影响

试验以大杂交鲟(达氏鳇♀×史氏鲟♂,初始体质量每尾约38g)为材料,研究了流水养殖条件下放养密度(40/m~2、70/m~2、93/m~2、110/m~2)对其体组分和血液生化指标的影响。结果表明:经过60d饲养,放养密度对大杂交鲟体组分产生了负面影响,水分和灰分含量随密度的增大呈升高趋势,粗脂肪和粗蛋白随着密度增大而下降;同时大杂交鲟血清碱性磷酸酶含量随密度增大而降低;血清有机成分蛋白、总胆固醇、甘油三酯及尿素等含量也呈现下降趋势;血清无机离子磷和镁含量也随养殖密度的增大而降低。本文试验结果说明放养密度改变了大杂交鲟体内营养物质的的吸收、代谢和分配,造成机体和血液中生化组成的变化,进而可能对鱼类的营养状况及生长产生不利影响。