混合光谱分解模型提取水体叶绿素含量的研究

遥感监测水体叶绿素含量是水质遥感研究的难点之一。本文通过研究不同叶绿素含量水体反射率的光谱特征，确定了提取叶绿素a含量的最佳特征波段，建立了太湖水体叶绿素a的混合光谱模型。研究发现，混合光谱模型提取的水体叶绿素a百分比浓度与同步采样分析的叶绿素a浓度之间有较好的线性相关性。并基于TM和HEPERION图像利用此模型生成了叶绿索a浓度分布图。研究结果表明，混合光谱分解模型可以作为遥感监测水体叶绿素a含量的定量模型。     

乌江干流水库微微型浮游生物的分布特征

于2006年10月对乌江干流梯级水库(乌江渡水库、东风水库、洪家渡水库、引子渡水库和普定水库)中微微型浮游生物(聚球藻、微微型真核浮游生物和异养细菌)的分布特征进行了调查.温度、溶解氧、pH、叶绿素等用YSI 6920进行原位测定.     

南极长城站附近海域营养盐和叶绿素a分布的初步分析

研究了南极菲尔德斯半岛长城站附近海域营养盐、叶绿素ａ和海水物理性质的空间分布间的关系,包括一般规律研究、空间相关研究以及营养盐、海水物理性质与叶绿素ａ的密度分布比较。结果表明叶绿素ａ的空间分布和营养盐的空间分布并不完全一致,聚集的营养盐分布对应于叶绿素ａ的非聚集分布,相反非聚集分布的营养盐则对应于叶绿素密度分布的聚集性。不同月份影响叶绿素ａ含量和初级生产力因素也不同,在所调查的因素中,１２月份没有发现某个或某些环境因素特别重要,１月份硝酸盐、氨盐和海水表面温度都影响叶绿素在海水中的含量,２月份主要表现为海水表面温度的影响,磷酸盐对叶绿素ａ含量的影响很小。     

Influence of Seawater Temperature on Phytoplankton Growth in Jiaozhou Bay, China

The phytoplankton reproduction capacity (PRC), as a new concept regarding chlorophyll-a and primary production (PP) is described. PRC is different from PP, carbon assimilation number (CAN) or photosynthetic rate ( P^B ) . PRC quantifies phytoplankton growth with a special consideration of the effect of seawater temperature. Observation data in Jiaozhou Bay, Qingdao, China, collected from May 1991 to February 1994 were used to analyze the horizontal distribution and seasonal variation of the PRC in Jiaozhou Bay in order to determine the characteristics, dynamic cycles and trends of phytoplankton growth in Jiaozhou Bay; and to develop a corresponding dynamic model of seawater temperature vs. PRC. Simulation curves showed that seawater temperature has a dual function of limiting and enhancing PRC. PRC‘s periodicity and fluctuation are similar to those of the seawater temperature. Nutrient silicon in Jiaozhou Bay satisfies phytoplankton growth from June 7 to November 3. When nutrients N, P and Si satisfy the phytoplankton growth and solar irradiation is sufficient, the PRC would reflect the influence of seawater temperature on phytoplankton growth. Moreover, the result quantitatively explains the scenario of one-peak or two-peak phytoplankton reproduction in Jiaozhou Bay, and also quantitatively elucidates the internal mechanism of the one- or two-peak phytoplankton reproduction in the global marine areas.     

2010-2011年胶州湾叶绿素a与环境因子的时空变化特征

2010年4、6、8、10月和2011年1、3月在胶州湾开展了6个航次的综合调查,研究了表层海水温度、盐度、营养盐和叶绿素a浓度的时空变化特征。调查期间,总无机氮(DIN)、磷酸盐(PO4)和硅酸盐(SiO3)多呈现东北部湾边缘高,而湾内和湾口低的空间分布特征。季节变化表明,DIN和PO4主要受养殖排放、河流径流输入和浮游植物生长消耗的影响,呈现初夏和秋季高,夏末和冬季低的特点;而SiO3主要受河流径流输入和浮游植物消耗的影响,呈现夏、秋高,而冬、春低的特点。营养盐浓度和结构分析表明,胶州湾存在PO4和SiO3的绝对和相对限制;SiO3限制尤其严重,是控制胶州湾浮游植物生长的主要环境因子。SiO3和PO4的限制主要表现在冬季,几乎遍布整个海湾;夏季降水可有效缓解海域的SiO3限制。叶绿素a浓度呈现春、夏季高,秋、冬季低的季节分布,温度、营养盐浓度与结构和季节性贝类养殖活动是控制胶州湾叶绿素a浓度时空分布的关键因素。     

浮游植物化学分类法—CHEMTAX运算在南中国海应用的改进和优化

In order to determine the phytoplankton community composition, the modification and optimizing of the CHEMical TAXonomy (CHEMTAX) running was carried out through samples grouping, successive run and ev...     

Optical detection of Prorocentrum donghaiense blooms based on multispectral reflectance

Prorocentrum donghaiense is one of the most common red tide causative dinoflagellates in the Changjiang （Yangtze） River Estuary and the adjacent area of the East China Sea. It causes large-scale blooms in late spring and early summer that lead to widespread ecologic and economic damage. A means for distinguish- ing dinoflagellate blooms from diatom （Skeletonema costatum） blooms is desired. On the basis of measure- ments of remote sensing refectance [Rrs（λ）] and inherent optical parameters, the potential of using a mul- tispectral approach is assessed for discriminating the algal blooms due to P. donghaiense from those due to S. costatum. The behavior of two reflectance ratios [R1 = Rrs（560）/Rrs（532） and Re = Rrs（708）/Rrs（665）], suggests that differentiation of P. donghaiense blooms from diatom bloom types is possible from the current band setup of ocean color sensors. It is found that there are two reflectance ratio regimes that indicate a bloom is dominated by P. donghaiense; （1） R1 〉 1.55 and R2 〈 1.0 or （2） R1 〉 1.75 and R2 ≥ 1.0. Various sensitivity analyses are conducted to investigate the effects of the variation in varying levels of chlorophyll concentration and colored dissolved organic matter （CDOM） as well as changes in the backscattering ratio （bbp/bp） on the efficacy of this muitispectral approach. Results indicate that the intensity and inherent op- tical properties of the algal species explain much of the behavior of the two ratios. Although backscattering influences the amplitude of Rrs（λ）, especially in the 530 and 560 nm bands, the discrimination between P. donghaiense and diatoms is not significantly affected by the variation of bbp/bp. Since aCDOM （440） in coastal areas of the ECS is typically lower than 1.0 m-1 in most situations, the presence of CDOM does not interfere with this discrimination, even as SCDOM varies from 0.01 to 0.026 nm-1. Despite all of these effects, the dis- crimination of P. donghaiense blooms from diatom blooms based on multispectral measurements of Rrs（λ） is feasible.     

渤海叶绿素 a 浓度与环境因素的响应关系研究

基于 2003－2018 年的遥感反演和再分析数据, 分别在时域和频域上分析了渤海海表面温度、光合有效辐射、气溶 胶厚度、风速与叶绿素 a 浓度之间的响应关系。通过傅里叶变换在频域上得到各因素之间的相关性系数, 其显著高于直接在 时域上计算得到的相关性系数, 表明由于相位差的影响, 直接在时域进行相关性分析很可能会低估各因素之间的相关性。傅 里叶变换后的频谱图显示, 叶绿素 a 浓度存在一年、半年、4 个月与季节周期; 风速与气溶胶厚度存在明显的一年和半年周 期; 海表面温度和光合有效辐射具有明显的一年周期, 半年周期较其他几个因素不明显。交叉谱分析的结果表明： 叶绿素 a 浓度和所选的环境因子都在一年周期下具有最大的交叉振幅, 表明在此频率下响应最大; 风速、气溶胶厚度、光合有效辐射 分别超前于叶绿素 a 浓度约 5.0 个月、0.2 个月、0.2 个月, 海表面温度则滞后 1.9 个月。各环境因子之间相互关联, 共同影 响叶绿素 a 浓度的时间分布。