渤海夏季底层环流的观测与模拟

通过分析用人工水母在渤海夏季进行的首次底层环流的 L agrange观测 ,发现在渤海底层 Lagrange余流只有几 cm/s,在海峡处基本是北进南出的情况 ,在辽东湾有 1个逆时针的环流 ,在渤海湾有 1个顺时针的环流。但是进一步分析发现 ,底层人工水母的运移 (代表了物质输运 )并不完全反映环流的方向 ,在有些站位甚至出现相反的趋势。通过数值模拟知道瞬时的扩散及沉降等过程是产生这种结果的原因 ,而根源在于环流场的不均匀性。     

2000年夏季莱州湾生态环境要素的分布特征

论文依据 2 0 0 0年夏季 8月 2 9日至 9月 2日莱州湾的 1次综合性生态环境调查资料 ,给出了表、中、底 3层的平均温度、盐度、主要营养盐浓度及其比例和叶绿素 a浓度 ,分析了莱州湾的温盐结构、主要营养盐和叶绿素 a的分布特征。由于莱州湾的水深较浅 ,各要素的垂直分布都比较均匀。生态环境要素的水平分布表现为小清河口为高温、低盐、高营养盐和高叶绿素 a浓度区 ,小清河口东测的湾顶区域为高温、高盐、相对低的营养盐和叶绿素 a浓度区。此次观测到的盐度较 1997年以前有明显升高。莱州湾各层平均的 N/ P和 Si/ N分别为 16.73和 1.67,都比 1998～ 1999年渤海中部的值大 ,但 N/ P比 1992 ,1995和 1996年莱州湾的 N/ P明显偏低。叶绿素 a浓度与硅酸盐浓度之间有较好的相关关系 (α=0 .0 1) ,表、中、底 3层叶绿素 a浓度同硅酸盐浓度的线性相关系数分别为 :0 .5 4 ,0 .68和 0 .67     

青岛近海地区SO2和SO42-干沉降速率的季节变化

用小麦岛和团岛观测站提供的青岛近海气象和水温资料,以适于SO2气体和硫酸盐(SO42-)气溶胶的干沉降模型研究了模型中的输送阻尼对两种污染物质干沉降速率的贡献,并计算了2003年青岛近海地区两种污染物质干沉降速率的季节变化。结果表明:对SO2而言,粘性副层传输系数对沉降速率的贡献大于空气动力学传输系数;对于SO42-,空气动力学传输系数对沉降速率的贡献要大于表面传输系数。SO2和SO42-的干沉降速率变化范围分别为0.187~0.868cm/s和0.188~0.532cm/s。两种污染物质干沉降速率的四季变化有相似的规律,即冬季>秋季>春季>夏季。     

酸性污染物欧拉型输送转化模式的研究

数值模式是研究酸性污染及其长距离输送特性的一种重要方法。７０年代以来，国内外发展了许多欧拉型的输送转化模式，我国在欧拉型酸性污染物长距离输送模式的研究中也取得了重要进展。主要介绍了国内外的欧拉酸性污染物输送转化模式，并就模式的发展方向进行了讨论。     

围填海对海洋水动力与生态环境的影响

近10年来,中国海岸带围填海活动呈现出规模大、速度快的发展态势。围填海能带来显著的经济效益,但对海洋环境与生态的负面影响也不可忽视。针对围填海对海洋环境和生态的影响及作用机制,分别从水动力和生态系统两个方面进行了概述。围填海改变了海洋的自然几何属性(原始岸线、地形地貌、海湾面积),引起水动力环境的变化(潮汐系统和海湾水交换能力),进而影响了海湾的环境容量;围填海破坏了生物栖息地、导致生物多样性的丧失,影响到生态系统结构与功能的稳定性;水动力与生物多样性的变化可显著影响到生物地球化学过程,加速富营养化进程,恶化水质,增加生态灾害风险。目前,围填海后的生态修复策略主要有增加生物量、建设自然保护区、退陆还海3种方式;而生态补偿策略则多基于“生态系统服务功能与生境面积的大小为线性关系”,通过对其经济价值的量化后进行生态补偿与实施相关政策。国际上,生态系统服务功能的量化参数逐步纳入实际管理,并在线性关系研究的基础上,逐步纳入一些非线性的理念,使生态补偿机制更为合理化;而我国对于围填海生态效应的定量化研究及科学理论在管理政策中的实际应用仍亟待提高。整体而言,全面、准确地评估围填海对海洋环境与生态的影响离不开自然科学与社会科学的交叉与融合。     

Historic changes in flux of matter and nutrient budgets in the Bohai Sea

Over the past four periods （ 1959--1960, 1982--1983, 1992--1993, and 1998--1999）, the ecosystem of the Bohai Sea changed due to both a significant decrease of river water discharge from the Huanghe River and a reduction of precipitation. The shifts in nutrient chemistry could result in changes in the phytoplankton composition with an increased potential for non-diatom algal blooms. Simple box model was used to estimate the water - mass balance and nutrient budgets for the Bohai Sea. Water budgets indicate that the residual flow changed from out of the Bohai Sea before 1993, but became inflow to the Bohai Sea after then. The nutrient budgets developed indicate that the Bohai Sea was a sink for nutrients except for phosphate in 1959--1960 and 1982-- 1983 and for silicate in 1982--1983. Net water flow transports nutrients out of the Bohai Sea in 1959--1960, 1982--1983 and 1992--1993, but into the sea in 1998--1999 due to climate changes, such as precipitation and subsequent freshwater discharge. The residual fluxes of nutrients are minor relative to atmospheric deposition and riverine inputs. Conversions of phosphate values to carbon by stoichiometric ratios were used to predict that the system was net heterotrophic before 1982--1983 and net autotrophic after then. Nutrient budgets can explain the change of nutrient concentrations in the Bohai Sea except nitrates, which should include the surface runoff.     

Modeling seasonal variations of subsurface chlorophyll maximum in South China Sea

In the South China Sea(SCS), the subsurface chlorophyll maximum(SCM) is frequently observed while the mechanisms of SCM occurrence have not been well understood. In this study, a 1-D physical-biochemical coupled model was used to study the seasonal variations of vertical profiles of chlorophyll-a(Chl-a) in the SCS. Three parameters(i.e., SCM layer(SCML) depth, thickness, and intensity) were defined to characterize the vertical distribution of Chl-a in SCML and were obtained by fitting the vertical profile of Chl-a in the subsurface layer using a Gaussian function. The seasonal variations of SCMs are reproduced reasonably well compared to the observations. The annual averages of SCML depth, thickness, and intensity are 75 ± 10 m, 31 ± 6.7 m, and 0.37 ± 0.11 mg m-3, respectively. A thick, close to surface SCML together with a higher intensity occurs during the northeastern monsoon. Both the SCML thickness and intensity are sensitive to the changes of surface wind speed in winter and summer, but the surface wind speed exerts a minor influence on the SCML depth; for example, double strengthening of the southwestern monsoon in summer can lead to the thickening of SCML by 46%, the intensity decreasing by 30%, and the shoaling by 6%. This is because part of nutrients are pumped from the upper nutricline to the surface mixed layer by strong vertical mixing. Increasing initial nutrient concentrations by two times will increase the intensity of SCML by over 80% in winter and spring. The sensitivity analysis indicates that light attenuation is critical to the three parameters of SCM. Decreasing background light attenuation by 20% extends the euphotic zone, makes SCML deeper(~20%) and thicker(12% – 41%), and increases the intensity by over 16%. Overall, the depth of SCML is mainly controlled by light attenuation, and the SCML thickness and intensity are closely associated with wind and initial nitrate concentration in the SCS.     

The Seasonal Variabilities in the Concentration of Atmospheric Aerosols over Qingdao, China

Mass concentrations of Total Suspended Particles （TSP） and size-segregated particles were obtained from July 2001 to June 2002 in Qingdao to characterize the seasonal variations of atmospheric aerosols and to show the impact of dust events on the air quality in Qingdao. Data on size-segregated aerosols show that 73.74% of the TSP mass concentration is contributed by particles with diameters less than 11 μm. Particles with diameters less than 1.1μm have a higher concentration during the winter. In spring, larger particles tend to have higher mass concentrations. Bimodal particle size distributions have been observed, with maxima around 4.7-7 μand 0.43-0.65 μm in the winter season, and 7-11 μm and 0.65-1.1 μm in the autumn season. Measurements made during the dust events in March 2002 show high concentrations of particles in the size range 2.1-7μm.     

Distribution of biomass of heterotrophic bacterioplankton in the Bohai Sea

Distribution, variation and impact factors of biomass of bacterioplankton from April to May 1999 in Bohai Sea were studied in DAPI method with epifluorescence microscopy. The biomass in surface waters showed a small day-night variation, varying from 0.13 to 2.51μg/dm^3 with an average of 0.84μg/dm^3. The biomass in bottom waters showed, however, a large variation, changing from 0.15 to 4.18μg/dm^3 with an average of 1.36μg/dm^3. The peak values occurred at 5 and 11 a.m. The bottom water biomass showed a significant correlation with particulate organic carbon （r=0.639, P〈0.05）. Heterotrophic bacterioplankton biomass was high in nearshore waters and low in offshore areas with a high biomass zone around Huanghe （Yellow） River mouth, showing the same distribution of nutrients. In vertical distribution, heterotrophic bacteria biomass in bottom waters was higher than that in surface water.     

Distribution of ammonia-oxidizing Betaproteobacteria community in surface sediment off the Changjiang River Estuary in summer

The spatial distribution of ammonia-oxidizing Betaproteobacteria ( β AOB) was investigated by FISH (fluorescence in situ hybridization) and DGGE (denaturing gradient gel electrophoresis) techniques in the sediment off the Changjiang River Estuary.Sediment samples were collected from eight stations in June before the formation of hypoxia zone in 2006.The abundance of β AOB ranged from 1.87 × 10 5 to 3.53 × 10 5 cells/g of sediment.β AOB abundance did not present a negative correlation with salinity,whereas salinity was implicated as the primary factor affecting nitrification rates.The DGGE profiles of PCR-amplified amo A gene fragments revealed that the β AOB community structure of sample S2 separated from other samples at the level of 40% similarity.The variations in composition of β AOB were significantly correlated with the salinity,temperature,absorption ability of sediments and TOC. The statistical analysis indicates that the β AOB abundance was a main factor to influence nitrification rates with an influence ratio of 87.7% at the level of 40% biodiversity similarity.Considering the good correlation between β AOB abundance and nitrification estimates,the abundance and diversity of β AOB community could be expected as an indirect index of nitrification activity at the study sea area in summer.