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The feasibility of using fluorescence excitation-emission matrix (EEM) along with parallel factor analysis (PARAFAC) and nonnegative least squares (NNLS) method for the differentiation of phytoplankton taxonomic groups was investigated. Forty-one phytoplankton species belonging to 28 genera of five divisions were studied. First, the PARAFAC model was applied to EEMs, and 15 fluorescence components were generated. Second, 15 fluorescence components were found to have a strong discriminating capability based on Bayesian discriminant analysis (BDA). Third, all spectra of the fluorescence component compositions for the 41 phytoplankton species were spectrographically sorted into 61 reference spectra using hierarchical cluster analysis (HCA), and then, the reference spectra were used to establish a database. Finally, the phytoplankton taxonomic groups was differentiated by the reference spectra database using the NNLS method. The five phytoplankton groups were differentiated with the correct discrimination ratios (CDRs) of 100% for single-species samples at the division level. The CDRs for the mixtures were above 91% for the dominant phytoplankton species and above 73% for the subdominant phytoplankton species. Sixteen of the 85 field samples collected from the Changjiang River estuary were analyzed by both HPLC-CHEMTAX and the fluorometric technique developed. The results of both methods reveal that Bacillariophyta was the dominant algal group in these 16 samples and that the subdominant algal groups comprised Dinophyta, Chlorophyta and Cryptophyta. The differentiation results by the fluorometric technique were in good agreement with those from HPLC-CHEMTAX. The results indicate that the fluorometric technique could differentiate algal taxonomic groups accurately at the division level. 相似文献
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A three-dimensional advection-diffusion model coupled with the degradation process is established for describing the transport of chemical oxygen demand (COD). Comparison of the simulated distribution of COD at the surface in the Bohai Sea in August, 2001 with field observations, shows that the model simulates the dataset reasonably well. The Laizhou Bay, Bohai Bay, and Liaodong Bay were contaminated heavily near shore. Based on the optimal discharge flux method, the Environmental Capacity (EC) and allocate... 相似文献
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Based on survey data from April to May 2009, distribution and its influential factors of dissolved inorganic nitrogen (DIN) over the continental slopes of the Yellow Sea (YS) and East China Sea (ECS) are discussed. Influenced by the Changjiang (Yangtze) River water, alongshore currents, and the Kuroshio current off the coast, DIN concentrations were higher in the Changjiang River estuary, but lower (<1 μmol/L) in the northern and eastern YS and outer continental shelf area of the ECS. In the YS, the thermocline formed in spring, and a cold-water mass with higher DIN concentration (about 11 μmol/L) formed in benthonic water around 123.2°E. In Changjiang estuary (around 123°E, 32°N), DIN concentration was higher in the 10 m layer; however, the bottom DIN concentration was lower, possibly influenced by mixing of the Taiwan Warm Current and offshore currents. 相似文献
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2004年春季东海赤潮高发区COD分布及其与赤潮关系的初步研究 总被引：6，自引：0，他引：6
2004年4～5月初在东海赤潮高发区暴发的特大规模原甲藻赤潮前期和暴发初期对该海域进行的现场调查，并对该海域COD的分布特征进行了探讨。结果表明，赤潮暴发前COD为0．295-1.836mg／L，主要受陆源输入影响。根据其在局部海区底层出现的异常升高结合其他参数分析可对特定海区潜在赤潮暴发的可能性进行评估。赤潮暴发时COD为0．36～3．14mg／L，表层和中层与叶绿素存在显著正相关关系，表明其主要受生物影响。富营养化指数表明赤潮暴发前近一半海域已经处于富营养化状态，但COD对富营养化的贡献不如营养盐重要。 相似文献
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本文应用海洋围隔生态实验研究了浮游植物对石油烃污染物生物富集动力学过程 ,提出了“水相差法”测定海洋浮游植物体内石油烃浓度 ,以及包括石油烃挥发和生物生长等影响因素的石油烃生物富集动力学模型 ,并利用非线性拟合技术得到了海洋浮游植物对 0 #柴油 WAF中正构烷烃的生物富集动力学参数 kup,kel和 BCFPOC,结果与 Kováts色谱保留指数具有很好的相关性 ,与利用生物分析平衡法测定的文献数据基本一致。本模型及实验方法简便可靠 ,可在现场实验中广泛应用 ,得到的动力学参数应用于多介质环境模型和生态动力学模型 ,用以研究石油烃污染物中正构烷烃在海洋环境中的迁移变化规律 相似文献
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溶解无机态营养盐在渤海沉积物-海水界面交换通量研究 总被引：2，自引：0，他引：2
了解无机态营养严在渤海沉积物-海水界面交换速率、通量基控制因素,于2002-08-06~08-24,应用船基沉积物培养方法,现场测定了硅酸盐(SiO3-Si)、磷酸盐(PO4-P)和溶解无机氮(DIN)在沉积物-海水界面上的交换速率(νN)和交换通量(FN)。结果显示,νSiO3-Si变化范围为2 220~4 317μmol.m-2.d-1,平均为3 466μmol.m-2.d-1,νPO4-P为0.4~77μmol.m-2.d-1,平均为39μmol.m-2.d-1,νDIN为667~2 167μmol.m-2.d-1,平均为1 308μmol.m-2.d-1,其中NH4-N和NO3-N的贡献分别为48%和47%左右。进一步分析表明,νSiO3-Si主要由溶解和扩散2个过程控制,前者决定于沉积物黏土矿物含量和含水率,后者决定于营养盐浓度和温度。νPO4-P主要由在以黏土为主的细颗粒和氢氧化铁上的吸附-解吸和扩散过程控制,前者分别决定于沉积物粒度和上覆水中DO浓度,而后者决定于间隙水与上覆水之间的浓度差。结果表明,FSiO3为2.59×1013mmol,FPO4为2.95×1011mmol,FDIN/SE为8.62×1012mmol。这样,为维持夏季渤海初级生产力,沉积物交换过程可提供大约65%的SiO3-Si、12%的PO4-P和22%的DIN,远远高于以河流径流为主的陆源排放。 相似文献
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通过对目前生态动力学模型的总结和综合,以生态系统中氮、磷营养盐循环为主线,建立了适用于海洋围隔浮游生态系统的多变量的营养盐迁移-转化动力学模型.该模型包括浮游植物、浮游动物、溶解无机态营养盐、溶解有机态营养盐和生物碎屑5个模块,涉及溶解无机氮、磷酸盐、溶解有机氮、溶解有机磷、浮游植物、浮游动物和生物碎屑7个状态变量.分别利用1999年秋季和2000年夏季胶州湾围隔生态实验数据进行了模型和验证工作,成功地模拟了富加营养盐条件下围隔浮游生态系统中氮、磷营养盐生物化学迁移-转化过程,并确定了20余个参数的量值. 相似文献
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The zones around the Bohai Sea are the most developed area in north China [1]. With the development of economy and increasing of population, the marine environment quality has become worse and worse in Bohai Sea, especially in the coastal regions of Bohai Bay, Liaodong Bay and Laizhou Bay [1]. As reported, the petroleum hydrocarbon (PH) contamination in the Bohai Sea was mainly due to the discharge of oily wastewater from inland [1]. There were about 8 734 392.3 104 t water input in the … 相似文献
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The method has been established to calculate the environmental capacity (ECo),surplus environment capacity (SECo) of water with respect to marine petroleum hydrocarbons associated with oil (PHAOs) and the self-purification capacity (SPCo) of main self-purification process to PHAOs in the Jiaozhou Bay, China, according to the dynamic model for distribution of marine PHAOs among multiphase environments. The variation of concentration of PHAOs in the Jiaozhou Bay is well simulated by the dynamic model. Based on the model.the ECo, SECo of water with respect to PHAOs in the Jiaozhou Bay were calculated during the last 10 years under the first-class and second-class quality standard requirement, according to SPCoof main self-purification process to PHAOs. The results show that about 200 tons of PHAOs could be discharged into the Jiaozhou Bay for maintaining the first class seawater quality standard, and about 600 tons of PHAOs for the second class seawater quality standard later. 相似文献