A novel technique for detection of the toxic dinoflagellate, Karenia brevis, in the Gulf of Mexico from remotely sensed ocean color data

Karenia brevis, a toxic dinoflagellate that blooms regularly in the Gulf of Mexico, frequently causes widespread ecological and economic damage and can pose a serious threat to human health. A means for detecting blooms early and monitoring existing blooms that offers high spatial and temporal resolution is desired. Between 1999 and 2001, a large bio-optical data set consisting of spectral measurements of remote-sensing reflectance (R_rs(λ)), absorption (a(λ)), and backscattering (b_b(λ)) along with chlorophyll a concentrations and K. brevis cell counts was collected on the central west Florida shelf (WFS) as part of the Ecology and Oceanography of Harmful Algal Blooms (ECOHAB) and Hyperspectral Coastal Ocean Dynamics Experiment (HyCODE) programs. Reflectance model simulations indicate that absorption due to cellular pigmentation is not responsible for the factor of ∼3–4 decrease observed in R_rs(λ) for waters containing greater than 10⁴ cells l⁻¹ of K. brevis. Instead, particulate backscattering is responsible for this decreased reflectivity. Measured particulate backscattering coefficients were significantly lower when K. brevis concentrations exceeded 10⁴ cells l⁻¹ compared to values measured in high-chlorophyll (>1.5 mg m⁻³), diatom-dominated waters containing fewer than 10⁴ cells l⁻¹ of K. brevis. A classification technique for detecting high-chlorophyll, low-backscattering K. brevis blooms is developed. In addition, a method for quantifying chlorophyll concentrations in positively flagged pixels using fluorescence line height (FLH) data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) is introduced. Both techniques are successfully applied to Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and MODIS data acquired in late August 2001 and validated using in situ K. brevis cell concentrations.     

Decoupling of Aerosol Absorption Coefficient in the Spring of 2006 at an Urban Site in Beijing

 A statistic regression approach was used to estimate the wavelength exponents of black carbon (BC) and dust particles, and further to separate the contributions of the two types of aerosols to the total light absorption coefficient measured in the Beijing urban area in the spring of 2006. The results show that the wavelength exponent (a) of black carbon aerosol at urban site was approximately -0.92, which is in agreement with the value of -0.8±0.2 reported in related studies. The decoupling analysis of the measured light absorption coefficients during the three floating dust periods ( March 25, March 27, and April 9) demonstrates that, on average, the light absorption caused by dust particles took up about 32.8% of the total light absorption at 520 nm wavelength, and by black aerosol more than 60%. This indicates that the black carbon was still the major contributor to the total aerosol light absorption in Beijing urban area even during the floating dust periods.     

补偿吸收衰减的地质雷达数据叠前偏移方法

讨论能补偿吸收衰减的麦克斯韦方程叠前偏移方法。从麦克斯韦方程组出发,得到补偿吸收衰减的频率-波数域波场外推算子。为能处理介质有横向变化的叠前偏移问题,波场外推在空间-频率域中进行。用能补偿吸收衰减的地质雷达资料的叠前偏移方法处理了合成和野外采集的实际地质雷达资料。对比了考虑和不考虑吸收衰减的野外实际地质雷达资料偏移叠加剖面的差异,补偿吸收衰减的偏移叠加剖面中反射同相轴具有更好的连续性。     

地震数据采集系统频谱均衡滤波理论研究

建立视等厚层状吸收介质模型,计算地层吸收衰减特性,以此为依据给出了频谱均衡滤波器的数学模型和设计框图。选择主频为200 Hz的雷克子波,理论计算原始地震反射波的特征参数（主振幅、主频率、频带宽度）。利用所设计的频谱均衡滤波器对原始地震反射进行滤波,能够有效补偿地层的吸收衰减,地震反射波的特征参数得到明显改善。时间从0.5～3.0 s,主振幅增强了20.55～30.40 dB,主频率提高了104～74 Hz,频带被拓宽了205～186 Hz,分辨率提高到2.9～13.9 m(分辨率提高了56%～67%)。     

氢化物冷阱捕集法原子吸收测定海水中无机锡

采用硼氢化纳还原法将海水中无机锡还原为挥发性锡化氢,氮为载气将锡化氢从反应器吹出,并于液氮冷阱中捕集,捕集后将锡化氢载入氢焰原子化器进行原子吸收测定。对该还原反应、氢化物转移、捕集及原子化实验条件进行了详细研究。实验结果表明:该法中可氢化元素As、Sb、Se等超过被测物浓度200倍时亦无明显干扰,检出限为0.0060μg/dm~3,对0.050μg/dm~3 Sn浓度的样品变异系数为±8％。标准曲线表明,在0—0.050μg/dm~3 Sn浓度范围内有理想的线性关系。对海水介质测定,该法所作校准曲线与蒸馏水介质具有相同的斜率,采用NaOH共沉淀预富集可提高灵敏度5—10倍,便于海水样品保存,总回收率95％以上。     

南海北部水体浮游植物比吸收系数的变化

在2004年9月南海北部开放航次中测定了51个站点的浮游植物比吸收系数aph^＊（A）。分析表明，aph^＊的数值和光谱分布都有较大的变化，且在沿岸和外海表现出不同的变化趋势。aph^＊的变化主要受色素打包效应和色素成分的影响。外海水体微微型藻类占绝对优势，而沿岸水体中微型藻类和大型藻类的比例相对增大，相应地色素打包效应增强，aph^＊减小。外海水体的aph^＊光谱分布随深度的增加呈现出一定的变化趋势，且在上层水体的蓝红比较高，反映出辅助色素含量的相对变化对比吸收系数的影响。aph^＊随叶绿素a浓度的增大而减小，两者之间呈现出较好的幂指数关系。     

基于浮游植物吸收光谱提取粒径参数

在南海北部、大亚湾及珠江口3个不同水体生物-光学数据的基础上, 研究了浮游植物粒径结构的变化特征, 建立了基于浮游植物吸收光谱提取的浮游植物粒径参数(S<f>)的混合光谱模型。南海海区不同的水体环境下浮游植物的粒级结构有着很大的差异: 在河口和沿岸水体小型浮游植物占优势, 在外海水体微微型浮游植物占优势。浮游植物粒径参数随小型浮游植物增多而减少, 随微微型浮游植物增多而增大。叶绿素a浓度从外海到沿岸逐渐增大, 浮游植物粒径参数随叶绿素a浓度的增大而减小, 它们之间呈幂函数关系。结果表明, 利用混合光谱模型得到的浮游植物粒径参数与南海海区不同水体的生物-光学特征(粒级结构Rpico和Rmicro、粒级指数SI、叶绿素a浓度)有一定的相关性。具体的相关性表示为: S<f>与粒级结构(Rpico和Rmicro)存在一定的关系, 与小型浮游植物和微微型浮游植物之间的线性相关系数分别是0.55和0.65; S<f>与浮游植物粒级指数(SI)有较好的线性关系, 相关系数是0.57; S<f>与叶绿素a浓度呈幂函数关系, 相关系数是0.64。这个混合光谱模型为从光学参数反演浮游植物种群的生态学信息提供了有效的手段, 同时又可用于分析浮游植物优势粒径结构对光学特性的影响。     

基于船载走航观测高光谱颗粒物吸收系数反演浮游植物粒级结构*

利用高光谱监测数据反演浮游植物种群组成是当前海洋光学和水色遥感的研究热点。文章采用大西洋经向断面航次中走航式观测系统测量的海水总颗粒物吸收光谱数据, 尝试建立了两种模型对浮游植物粒级结构(Phytoplankton size class, 简称PSC)进行反演和比较讨论。一类模型是基于总颗粒物吸收光谱高斯分解获得的典型波段高斯带强度与色素浓度之间的关系, 建立了偏最小二乘回归模型(Partial Least Squares regression model, 简称PLS回归模型); 另一类模型是采用长波波段吸收基线高度推算海水总叶绿素a浓度, 进而根据Brewin等(2010)生物量算法推算PSC的三组分模型(简称三组分模型)。模型比较验证结果显示, 两类模型对海水总叶绿素浓度的反演都有较高的精度, 相对偏差ME在15%左右; 对于三个粒级浮游植物对应的叶绿素浓度(Pico级C_p, Nano级C_n, Micro级C_m)的反演效果也相当, PLS回归模型反演的ME分别为28.4%、31.9%和41%, 三组分模型反演的ME分别为31%、35.9%、37.7%。研究结果初步表明了采用高光谱吸收系数反演浮游植物种群结构的潜在优势, 可为不同海域走航式高光谱观测系统的推广应用提供思路。     

基于浮游植物吸收的海洋初级生产力模型的不确定性分析

Satellite-derived phytoplankton pigment absorption(a_(ph)) has been used as a key predictor of phytoplankton photosynthetic efficiency to estimate global ocean net primary production(NPP). In this study, an a_(ph)-based NPP model(Ab PM) with four input parameters including the photosynthetically available radiation(PAR), diffuse attenuation at 490 nm(K_d(490)), euphotic zone depth(Z_(eu)) and the phytoplankton pigment absorption coefficient(a_(ph)) is compared with the chlorophyll-based model and carbon-based model. It is found that the Ab PM has significant advantages on the ocean NPP estimation compared with the chlorophyll-based model and carbonbased model. For example, Ab PM greatly outperformed the other two models at most monitoring sites and had the best accuracy, including the smallest values of RMSD and bias for the NPP estimate, and the best correlation between the observations and the modeled NPPs. In order to ensure the robustness of the model, the uncertainty in NPP estimates of the Ab PM was assessed using a Monte Carlo simulation. At first, the frequency histograms of simple difference(δ), and logarithmic difference(δ~(LOG)) between model estimates and in situ data confirm that the two input parameters(Z_(eu) and PAR) approximate the Normal Distribution, and another two input parameters(a_(ph) and K_d(490)) approximate the logarithmic Normal Distribution. Second, the uncertainty in NPP estimates in the Ab PM was assessed by using the Monte Carlo simulation. Here both the PB(percentage bias), defined as the ratio of ΔNPP to the retrieved NPP, and the CV(coefficient of variation), defined as the ratio of the standard deviation to the mean are used to indicate the uncertainty in the NPP brought by input parameter to Ab PM model. The uncertainty related to magnitude is denoted by PB and the uncertainty related to scatter range is denoted by CV.Our investigations demonstrate that PB of NPP uncertainty brought by all parameters with an annual mean of5.5% covered a range of –5%–15% for the global ocean. The PB uncertainty of Ab PM model was mainly caused by a_(ph); the PB of NPP uncertainty brought by a_(ph) had an annual mean of 4.1% for the global ocean. The CV brought by all the parameters with an annual mean of 105% covered a range of 98%–134% for global ocean. For the coastal zone of Antarctica with higher productivity, the PB and CV of NPP uncertainty brought by all parameters had annual means of 7.1% and 121%, respectively, which are significantly larger than those obtained in the global ocean. This study suggests that the NPPs estimated by Ab PM model are more accurate than others, but the magnitude and scatter range of NPP errors brought by input parameter to Ab PM model could not be neglected,especially in the coastal area with high productivity. So the improving accuracy of satellite retrieval of input parameters should be necessary. The investigation also confirmed that the SST related correction is effective for improving the model accuracy in low temperature condition.     

长江口及其邻近海域CDOM光谱吸收特性分析

研究了长江口及其邻近海域有色可溶性有机物(CDOM)的光吸收特性,分析了CDOM浓度(吸收系数a(440))、光谱斜率(S_g)与盐度的关系。结果表明:长江口及其邻近海域CDOM的a(440)变化范围为0.21~0.85 m^-1,平均值为0.44 m^-1;S_g值的范围为0.013 3~0.016 7 nm^-1,平均值为0.014 nm^-1;a(440)的水平分布表现为长江口海区比外海区高,S_g的水平分布表现为长江口海区比外海区低,反映了长江口海区CDOM中的腐殖酸成分比外海区大。研究区内a(440)与盐度、S_g与盐度明显线性相关,表明CDOM在河口混合行为中呈保守行为,CDOM具有良好的保守性质。