共查询到19条相似文献，搜索用时 109 毫秒
1.
基于HJ卫星的近岸Ⅱ类水体叶绿素a浓度定量遥感反演研究——以滦河口北部海域为例 总被引：1，自引：0，他引：1
为验证环境卫星影像在近岸Ⅱ类水体中叶绿素a浓度反演的适宜性,获得适合滦河口北部近岸海域的叶绿素a浓度的高精度反演算法,基于HJ-1A CCD2影像数据和现场同步实测数据,构建、验证并确立适合研究区叶绿素a浓度反演模型。结果表明:HJ-1A CCD2卫星可用于水文情况较复杂的近岸Ⅱ类水体叶绿素a浓度的反演研究;最佳波段组合（B3/B1）构建的倒数模型,可反演叶绿素a浓度。结果显示叶绿素a浓度整体由近岸向内海方向逐渐减小,自北向南逐渐降低,并在河口处形成向外海突出的高值区;叶绿素a浓度最大值出现在金山嘴南侧,为25.0 μg/L。离岸叶绿素a浓度最小值出现在滦河口以东约13.2 km处,仅4.6 μg/L;近岸叶绿素a浓度最小值出现在滦河口附近,约为11.0 μg/L。该研究可为相关研究提供技术参考,研究成果可为当地政府科学管理海洋环境、制定海洋政策提供决策依据,为该海域可持续发展提供数据支持。 相似文献
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卫星海洋水色遥感的辐射模式研究 总被引：6，自引：3，他引：6
海洋水体向上的辐射由水中多种成分的浓度所决定，同时辐射的强度十分微弱并随着时间和空间在变化。因此，海洋水色遥感需要从水体和大气辐射传递机理出发，研究到达卫星遥感器的辐射模式，以达到模拟仿真卫星水色遥感图像和卫星图像质量预测的目的。本研究通过叶绿素、悬浮泥沙和黄色物质等海洋水色的主要因子，分别从可见光波段和荧光波段对辐射的贡献出发，发展了海洋水体离水辐射率模式。在卫星水色遥感机理的基础上，同时运用Iqbal，Gordon和Sturm等的大气程辐射模式和太阳耀光模式，使卫星海洋水色遥感的辐射模式系统化，模拟仿真了我国1990年9月3日发射的FYIB卫星两个海洋水色通道的全轨道辐射图像，同时利用从德国柏林大学气象中心接收到的1990年9月23－25日卫星图像进行验证。结果认为，本文所发展的模式可应用于卫星图像质量的预测和水色信息的提取。 相似文献
3.
基于HYDROLIGHT光学模拟软件模拟水表面以下辐照度比R(0~-)和参数f值,着重分析多次散射作用对f值的贡献率以及太阳天顶角、风速和b_b/(a+b_b)对贡献率的影响,结果表明:多次散射作用对参数f的贡献率受到太阳天顶角、风速和b_b/(a+b_b)的共同影响,使得多次散射作用具有一定的时空差异;贡献率P_(ms)在太阳天顶角从0(°)～85(°)的范围内,随太阳天顶角的增加呈现波动状态,但这种波动随b_b/(a+b_b)值的增加而减弱,P_(ms)在0m/s到4m/s的范围内存在较大的波动,而当风速增加到4m/s时,几乎不随风速的变化而变化;多次散射作用对参数f的贡献率最大值可以达到24.41%,因此在内陆湖泊高散射特性水体中必须考虑多次散射作用对R(0~-)的影响. 相似文献
4.
通过对2010/2011年夏季南极长城湾叶绿素a浓度和海流等环境参数的传感器连续观测;研究其时空变化特征及海流对浮游植物生物量的影响。结果表明;12.9 m水层叶绿素a浓度从12月中旬开始增长;直至2月上旬开始维持相对稳定;期间出现两个高值点（2.74 μg/L和3.76 μg/L）。叶绿素a浓度表现出了24 h周期变化特征;每日叶绿素a浓度最高值出现在正午前后时段的概率要高于其他时段。表层海水受西北风影响;流速较大;约为60~100 cm/s;中层和底层水体流速较小;约为10 cm/s。表层的风海流使海水在长城湾发生辐散;下层海水向上涌升;驱动了水体的垂直交换。长城湾与麦克斯韦尔湾存在水体交换;水体主要从中层进入湾内;从表层输出。长城湾的叶绿素a浓度与流速呈显著负相关;表明低流速环境有利于长城湾浮游植物的生长。 相似文献
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《海洋技术学报》2024,(1)
利用传感器对水体叶绿素a 浓度进行原位测量是获取实时、连续、长时间序列数据的重要手段。本文在对RBR 传感器和ECO（Environmental Characterization Optics）传感器进行原理分析和线性度、稳定性、重复性等基本性能测试的基础上，利用单一藻种培养液和2020年南海北部海域现场数据校准传感器，并对新的传感器校准系数进行验证。结果表明：两台传感器使用新系数比原出厂系数的叶绿素a 浓度测量准确度有明显提高。RBR 传感器现场数据校准系数的计算结果与叶绿素a 标准值误差最小，平均绝对误差从1.93 μg/L 减小到0.35 μg/L，平均相对误差从55.1%减小到10.9%；ECO 传感器藻液系数明显优于出厂系数和现场数据校准系数的计算结果，平均绝对误差从1.76 μg/L 减小到0.59 μg/L，平均相对误差从50.3%减小到15.1%。传感器测量准确度的提高，可为海洋环境监测、海洋生态灾害预警等工作获取真实可靠数据提供支撑。 相似文献
6.
荣成靖海湾海参养殖池塘初级生产力季节变化特征 总被引：1，自引：0，他引：1
2007年5月~2007年11月调查了山东荣成靖海湾海参养殖池塘水体中浮游植物种类组成、生物量、叶绿素含量变化以及底泥沉积物中叶绿素和脱镁叶绿素含量的变化.结果表明,海参养殖池塘水体中浮游植物共有7门,44属,62种,主要以硅藻为主.水体中浮游植物平均生物量1号池塘为17.52×10~4 /L;2号池塘为18.30×10~4 /L.水体叶绿素含量变化范围:1号池塘为1.38～5.00 μg/L;2号池塘为0.98～5.45 μg/L.池塘沉积物中叶绿素含量变化范围:1号池塘为0.66～1.67 μg/g,2号池塘为0.56～1.34 μg/g.池塘沉积物中脱镁叶绿素含量变化范围:1号池塘为2.97～5.63 μg/g;2号池塘为2.90～6.36 μg/g.1号池塘和2号池塘的浮游植物群落结构及叶绿素含量没有显著性差异(P>0.05).叶绿素,脱镁叶绿素变化趋势较为一致.海参夏眠期间,沉积物中叶绿素及脱镁叶绿素含量最高,为海参结束夏眠进入摄食提供食物储备.研究结果表明,靖海湾海参养殖池塘浮游植物以硅藻为主,养殖池塘水体浮游植物生物量较低,多样性指数较高,增加浮游植物沉降速率,增加养殖系统初级生产力可为海参提供更多食物. 相似文献
7.
本文简要介绍了M99、R06、G01、L10四种典型水上法估算遥感反射率方法的原理,利用现场观测数据,对四种方法的应用效果进行了评估分析。利用高光谱SAS实测的76个站位数据,对比分析了四种方法结果的差异性以及不同太阳天顶角和云况条件的差异分布,结果表明,四种方法估算的遥感反射率总体差异性不大,有80%站位的差异在10%以内,L10方法的结果更接近四种方法的平均值,R06方法的结果与L10大体相当,当太阳天顶角过大时,四种方法估算遥感反射率的差异较大,在阴天条件下,差异性有小幅度增大。利用高光谱SAS和剖面仪MicroPro同步观测的73个站位数据,分析了四种水上法与水中法计算遥感反射率的差异性,以及不同水体和太阳天顶角条件的差异分布,结果显示,四种水上法与水中法计算的遥感反射率结果差异分布趋势大体一致,约75%站位的差异在15%以内,在较好的比对环境下(去掉近岸站位和太阳天顶角较大的站位),四种方法与水中法差异明显减小,其中,R06和L10方法在处理粗糙海面的天空和太阳耀斑修正方面略优。 相似文献
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为掌握西北太平洋初级生产力的变化规律，科学预防赤潮灾害频发和海洋环境污染，保障海洋渔业等产业的发展，文章利用2007—2018年的MODIS卫星遥感数据，分别分析西北太平洋2个典型区域的叶绿素浓度、光合有效辐射、海表温度和净初级生产力的时空变化特征及其相关性，通过相关性对比分析不同区域净初级生产力的主要影响因素及其差异性，并根据异常气候条件（“厄尔尼诺”现象）年份的情况验证上述相关性结论。研究结果表明：区域A位于中高纬度的亲潮和黑潮寒暖流交界处，区域B受副热带环流和黑潮共同作用且台风较活跃，由于二者营养盐水平不同，净初级生产力的主要影响因素具有差异性；由于酶的活性受海表温度影响较大，营养盐浓度较高海域（区域A）的净初级生产力主要考虑海表温度的影响；营养盐浓度较低海域（区域B）的净初级生产力受叶绿素浓度和海表温度影响较大，其中与海表温度相关性较高的原因主要是叶绿素浓度（浮游植物生物量）受海表温度影响较大；2个区域的净初级生产力受光合有效辐射影响较小；异常气候条件年份（2015年）中，2个区域净初级生产力和相关环境参数的变化特征可验证上述相关性结论。 相似文献
11.
Hiroshi Kawamura Huiling Qin Kohtaro Hosoda Futoki Sakaida Chunhua Qiu 《Journal of Oceanography》2010,66(6):855-864
Producing high-quality match-ups coupling the Japanese geostationary satellite, Himawari-6 (H6), and buoy SST observations,
we have developed the new SST retrieval method. Kawamura et al. (2010) developed the previous version of SST product called MTSAT SST, which left several scientific/technical questions.
For solving them, 6,711 algorithm tuning match-ups with precise navigation and 240,476 validation match-ups are generated
for covering all seasons and wide ocean coverage. For discriminating the previous MTSAT SST, we call the new version of SST
H6 SST. It is found that the SZA dependences of MTSAT SST algorithm are different from area to area of SZA > 40–50° N/S. The
regionally different SZA dependences are treated by dividing the H6 disk coverage into five areas by the latitude lines of
40° N/S first and the longitude lines of 100° K and 180° K. Using the algorithm tuning match-ups, Nonlinear SST (NLSST) equations
are derived for all of the five areas. Though the sun zenith angle dependency correction term is also examined, there is no
significant regional difference. Therefore, this term is used in the H6 SST algorithm again. The new H6 SST equation is formed
by the areal NLSST and the sun zenith angle dependency term for each area. The statistical evaluation of H6 SST using the
validation match-ups show the small negative biases and the RMS errors of about 0.74° K for each area. For the full H6 disk,
the bias is −0.1° K and the RMS error 0.74° K. The histogram of H6 SST minus the in situ SST for each area has a similar Gaussian shape with small negative skewness, and the monthly validation of H6 SST for each
area is consistent with those for the whole period and the histograms 相似文献
12.
Longitudinal patterns of spring-intermonsoon phytoplankton biomass, species compositions and size structure in the Bay of Bengal 总被引：1，自引：0，他引：1
LI Gang KE Zhixin LIN Qiang NI Guangyan SHEN Pingping LIU Huaxue YIN Jianqiang LI Kaizhi HUANG Liangmin TAN Yehui 《海洋学报(英文版)》2012,31(2):121-128
Vertical distributions of phytoplankton biomass, compositions and size structure were investigated during the spring-intermonsoon (April 22 to 30) of 2010 along transact 10°N of the Bay of Bengal, northern Indian Ocean. Surface phytoplankton biomass (Chl a) was (0.065§0.009) μg/L, being greater than 80% of which was contributed by pico-phytoplankton (<3 μm). The Chl a concen- tration vertically increased to the maximal values at deep chlorophyll maximum (DCM) layer that shoaled eastwards from 75 to 40 m. The Chl a biomass at DCM layer generally varied between 0.2 and 0.4 μg/L, reaching the maximum of 0.56 μg/L with micro-phytoplankton cells (>20 μm) accounting for 58% and nano- (3-20 μm) or pico-cells for 15% and 27%, respectively. In particular, the cells concentration coupling well with phosphate level was observed at middle layer (75-100 m) of 87° to 89°E, dominated by micro-cells diatoms (e.g., Chaetoceros atlanticus v. neapolitana, Chaetoceros femur and Pseudonitzschia sp.) and cyanobacteria (i.e., Trichodesmium hildebrandtii), with the cells concentration reached as high as 4.0×104 and 4.3×104 cells/L. At the rest of the trans- act however, dino°agellates (e.g., Amphisdinium carterae and Prorocentrum sp.) were the dominant species, with the cells concentration varying from 0.3×103 to 6.8×103 cells/L. Our results also in- dicate that the regulation of large cells (micro-, nano-) on phytoplankton biomass merely occurred at DCM layer of the Bay. 相似文献
13.
Hiroshi Kawamura Huiling Qin Futoki Sakaida Riza Yuliratno Setiawan 《Journal of Oceanography》2010,66(1):61-70
An algorithm has been developed for retrieving sea surface temperature (SST) from hourly data transmitted from the Japanese
Advanced Meteorological Imager (JAMI) aboard a Japanese geostationary satellite, Multi-functional Transport Satellite (MTSAT)-1R.
Threshold tests screening cloudy pixels are empirically adjusted to cases of daytime with/without sun glitter, and nighttime.
The Non-Linear SST (NLSST) equation, including several new additional terms, is used to calculate MTSAT SST. The estimated
SST is compared with drifting and moored buoy measurements, with the result that the bias of the MTSAT SST is nearly 0.0°K.
The root mean square (rms) error is about 0.8°K, and it is 0.7°K under the condition that the satellite zenith angle is less
than 50°. It is demonstrated that the hourly MTSAT SST produced by the algorithm developed here captures diurnal SST variations
in the equatorial sea in mid-November 2006. 相似文献
14.
A simulation of radiation imagery for ocean color satellite 总被引：2，自引：0，他引：2
The ocean color satellite is mainly applied to measure the water constituents such as chlorophyll, suspended material and yellow substance. The leaving water radiance is very small part of the total radiance arrival at the sensor about 3%-15%,and depends on the properties of the orbit and sensor. Before the satellite is launched on the orbit, it needs to simulate the radiation imagery in order to evaluate the quality and availability of the satellite data.
If the parameters of satellite orbit, the properties of sensor as well as the characteristics of the atmosphere and water have been known, the radiation scattered by air molecule and aerosol, reflected solar radiation, water leaving and total radiation arriving at the sensor can be simulated by the models of radiation transfer in the atmosphere, air/water and subsurface water. In this paper, the mechanism, models and procedures of the radiation simulation are first discussed and employed to simulate a series of imageries for the Chinese satellites FY-lA, FY-1B, and ROCSAT-1 (Taiwan, China), and American satellite Ses STAR. Their results show that the solar irradiance arrived at water surface and the sun glitter mainly affect the quality and availability of satellite data, which depend on the orbit properties. Finally, some suggestions are proposed to improve the quality and availability of a:ean color satellite data. 相似文献
If the parameters of satellite orbit, the properties of sensor as well as the characteristics of the atmosphere and water have been known, the radiation scattered by air molecule and aerosol, reflected solar radiation, water leaving and total radiation arriving at the sensor can be simulated by the models of radiation transfer in the atmosphere, air/water and subsurface water. In this paper, the mechanism, models and procedures of the radiation simulation are first discussed and employed to simulate a series of imageries for the Chinese satellites FY-lA, FY-1B, and ROCSAT-1 (Taiwan, China), and American satellite Ses STAR. Their results show that the solar irradiance arrived at water surface and the sun glitter mainly affect the quality and availability of satellite data, which depend on the orbit properties. Finally, some suggestions are proposed to improve the quality and availability of a:ean color satellite data. 相似文献
15.
本文研究了泥沙悬浮液浊度对叶绿素荧光计测定水样中活体叶绿素荧光的影响。结果表明,浊度产生的荧光效应和遮蔽效应对活体叶绿素荧光测定具有显著影响。在100 NTU浊度范围内,浊度会导致荧光效应使活体叶绿素荧光值测量结果随着浊度的增大而增大,并构成良好的线性关系;实际测定水体中硅藻的活体叶绿素荧光值时,泥沙悬浮液的浊度会导致遮蔽效应使活体叶绿素荧光值测量结果随着浊度的增大而减小,水体中硅藻质量浓度越高遮蔽效应越显著,在1 000 mV(约10 μg/L)硅藻质量浓度,100 NTU浊度条件下,浊度遮蔽效应可导致活体叶绿素荧光值偏低20%。根据近海泥沙实验数据,本文提出了一种活体叶绿素荧光检测的浊度影响修正方法,在100 NTU浊度内,修正后叶绿素荧光值偏差率都下降到±10%以内,校准后的荧光值与真实叶绿素荧光值较为接近。 相似文献
16.
枯水期钦州湾浮游植物群落结构组成与分布特征 总被引：5，自引：2，他引：3
应用浮游植物特征光合色素的分析方法,研究了2011年枯水期钦州湾浮游植物的结构组成与分布特征。结果表明:枯水期含量较高的浮游植物光合色素按含量高低依次为叶绿素a、岩藻黄素、叶绿素b、青绿素和多甲藻素,其他特征光合色素的含量很低。经CHEMTAX对光合色素转化计算,枯水期普遍检出的浮游植物类群为硅藻、青绿藻和甲藻,是枯水期浮游植物的优势类群,其生物量的平均值(±标准差)分别为(2.36±2.38)μg/L、(0.87±0.53)μg/L、(0.13±0.14)μg/L,变化范围为0.18~7.45μg/L、0.10~1.80μg/L和0.02~0.60μg/L。硅藻、青绿藻和甲藻占枯水期浮游植物生物量比例的平均值(±标准差)分别为59%±21%、30%±16%、6%±4%,占比变化范围为29%~96%、1%~53%和0.4%~14%,其他藻类所占比例很低。河口和外湾靠外海域两个区域以硅藻为优势类群,内湾及外湾近岸硅藻和青绿藻共同为优势类群。河流营养盐输入量和比例的不同决定了钦州湾河口海区浮游植物群落结构的差异,大面积贝类养殖导致了内湾至外湾近岸海区硅藻比例的降低,而外湾水温的增加引起暖水性硅藻大量增长成为优势类群,在温度进一步增加和营养盐持续输入等条件下存在会发生硅藻赤潮的风险。 相似文献
17.
Jonathan R. Pennock 《Estuarine, Coastal and Shelf Science》1985,21(5):711-725
Phytoplankton chlorophyll concentrations in the Delaware estuary range over two orders of magnitude and display several maxima over the seasonal cycle. These maxima were found to be regulated both spatially and temporally by light availability. Both the spring chlorophyll maximum, which reaches 50–60 μg chlorophyll l?1 during a Skeletonema costatum dominated bloom, and transient fall blooms (15–20 μg l?1) are focused in mid-estuary. These blooms are regulated spatially by settling out of suspended sediment below the turbidity maximum and both spatially and temporally by physical factors (e.g. river flow) that cause vertical stratification in mid-estuary. In freshwater regions, chlorophyll concentrations display seasonal periodicity correlated with solar irradiance; summer chlorophyll concentrations average 30 μg l?1. These freshwater and mid-estuarine biomass maxima may be correctly predicted using a steady-state light-limitation model. In contrast, summer chlorophyll concentrations in the lower estuary remain below 10 μg l?1 and are not correctly modeled, despite minimum turbidity, and non-nutrient limiting conditions. These chlorophyll concentrations appear to be regulated by a combination of light availability and grazing.Although extremely high anthropogenic nutrient inputs in the freshwater region of the Delaware River provide non-limiting nutrient concentrations throughout the estuary, regulation of phytoplankton growth by light-limitation restricts chlorophyll concentrations below the nuisance levels found in many eutrophic systems. 相似文献
18.
2006—2007年夏、冬季浙东海域叶绿素a分布特征及其环境影响因子 总被引：1，自引：0，他引：1
为更清楚了解浙东海域浮游植物的初级生产力情况,于2006年8月(夏季)和2007年1月(冬季)在浙东海域28°00′～30°00′N、122°00′～127°30′E设置了3条调查断面,共布设25个观测站位,现场采用荧光连续法对叶绿素a进行测定,初步研究了该海域叶绿素a的空间分布特征,并探讨了水体温度、营养盐和浊度对叶绿素a分布的影响。结果表明:夏季,叶绿素a分布趋势为近岸(平均质量浓度为2.01μg/L)>外海(平均质量浓度为0.52μg/L),其主要垂直分布类型为递增型、递减型和单峰型;冬季,叶绿素a分布趋势为外海(平均质量浓度为0.50μg/L)>近岸(平均质量浓度为0.33μg/L),主要垂直分布类型为递增型、均匀型、单峰型和双峰型。夏季调查海域浮游植物叶绿素a平均质量浓度为0.93μg/L,明显高于冬季(0.46μg/L)。温度、营养盐和浊度是影响研究区夏、冬季叶绿素a分布的主要环境因子。 相似文献
19.
2011年春季东海赤潮高发区尿素分布特征及影响因素 总被引：2，自引：1，他引：1
2011年春季(3-5月)在东海赤潮高发区硅藻和甲藻赤潮暴发及演替过程中进行了3个航次的现场调查,通过对调查资料的分析,对该海域尿素的含量变化、平面分布特征及影响因素进行了初步探讨。结果表明:调查海域尿素的含量在检出限~6.32μmol/L范围内,平均浓度为(1.33±0.84)μmol/L,是该海域一种重要的溶解有机氮组分。其中,在DIN中所占比例8.73%~18.04%,在DON中所占比例5.63%~15.73%。赤潮的暴发对尿素含量和分布影响较大,能够影响并控制该海区尿素的实际浓度水平和分布特征。其中,硅藻赤潮暴发前后尿素和DIN含量下降百分比分别为36.67%和49.88%,甲藻赤潮暴发前后尿素和DIN含量下降百分比分别为8.78%和28.97%。硅藻赤潮期,尿素的高值区和叶绿素高值区一致,其含量明显高于正常海区;甲藻赤潮期,叶绿素的高值区对应着尿素低值区,赤潮区内尿素含量普遍降低至1μmol/L以下,尿素是一种能够被研究海区甲藻类浮游植物吸收利用的有效氮源。在调查海域大规模硅藻和甲藻赤潮暴发和演替期间,尿素的平面分布上未呈现明显的近岸低、远岸高的分布特点,与盐度数值没有明显的相关性,该时期陆源输入不是影响该海域尿素分布的主要因素。 相似文献