基于SDGSAT-1影像的总悬浮物浓度反演方法研究

总悬浮物浓度是海洋的重要水质参数之一,其对水体透明度、水下光场及初级生产力有显著影响,同时对河流入海口与海岸带冲淤变化过程有重要作用。本文基于我国自主研制的SDGSAT-1卫星遥感影像,使用准分析算法（Quasi-Analytical Algorithm,QAA）获取水体固有光学量,并结合2022年4月黄河口区域总悬浮物浓度实测数据,建立水体固有光学量与总悬浮物浓度实测数据的单波段、波段加减、波段比值,以及多波段组合等模型并开展遥感反演,最后将反演结果同实测数据及基于Sentinel-2B影像的总悬浮物浓度反演结果进行对比。研究结果表明：基于SDGSAT-1影像的总悬浮物浓度反演结果在黄河口高浓度区域的决定系数为0.622,均方根误差为7.94 mg/L;基于Sentinel-2B影像的总悬浮物浓度反演结果在黄河口高浓度区域的决定系数为0.589,均方根误差为8.27 mg/L。故在我国近岸海域总悬浮物浓度反演方面,SDGSAT-1影像反演精度与Sentinel-2B影像反演精度相媲美。     

基于Landsat 8影像的黄河口悬浮物质量浓度遥感反演

悬浮物质量浓度是黄河口海域重要的水质和水环境监测参数之一,直接影响着水面以下光场的分布,进而影响水体的初级生产力和水域生态环境。本文基于2011年6—7月和11—12月共计89组现场实测悬浮物质量浓度和光谱数据,分析了黄河口及其附近海域不同悬浮物质量浓度的水体光谱特征,尝试利用多种波段组合建立悬浮物质量浓度遥感反演算法。结果表明865 nm波段与波段比655 nm/560 nm组合形式算法反演结果最优,算法相关系数R²为0.95,平均相对误差为25.65%。将算法应用于2014—2016年共7景Landsat 8 OLI遥感影像,分析了不同年份黄河口悬浮物质量浓度的时空分布特征,黄河口海域悬浮物质量浓度分布总体呈现近岸高,离岸低的特点,不同时期悬浮物质量浓度量值上有显著变化。     

Landsat-8 OLI卫星数据的大气校正检验及其应用

本文检验了Vanhellemont和Ruddick算法在浑浊的海洋沿岸水体中的适用性。采用基于Vanhellemont和Ruddick算法对2013—2015年黄河口水体的landsat-8 OLI数据进行大气校正,该算法得到的OLI反射率与黄河口高光谱实测反射率较一致, R为0.95,在483 nm(蓝)、561 nm(绿)、655 nm(红)波段处平均相对误差为16.4%、17.3%和25.7%。MODIS和Landsat-8 OLI数据获取的悬浮物浓度之间一致性较好, R为0.85,平均相对误差为20.5%,表明该算法适用于黄河口水体。基于时间序列OLI数据,得到了悬浮物浓度时空分布特征。黄河口悬浮物浓度变化差异主要由风速和输沙量引起的,风速和输沙量对悬浮物浓度的影响存在一定的时间滞后现象。     

胶州湾水体悬浮物浓度遥感反演模式优化研究

为了及时、准确的了解胶州湾水域总悬浮物情况,采用2001—2015年水面实测数据,选取HJ-1、MERIS、LandsatTM/ETM+三个不同卫星数据,通过ENVI软件分析计算TM/ETM数据的多波段组合与总悬浮物浓度之间的相关关系,选取相关系数最大者分别构建多元函数回归模型,对胶州湾总悬浮物浓度进行了遥感定量反演研究。结果表明,估算因子三波段模型432算法与悬浮物浓度的相关性最好(R20.8),反演精度较高,以此建立了悬浮物浓度三波段半分析+生物光学遥感反演模型,检验值R~2均高于0.85,并通过F检验法和均方根误差(RMSE)分析,证明误差的敏感性差,该模型相关系数及稳定性好。因此,三波段模型在这三种反演模型中精度最好。     

基于分析模型的太湖悬浮物浓度遥感监测

悬浮物浓度是水质评价的一项重要指标,利用遥感技术准确获取区域面状水域悬浮物浓度信息,是遥感监测水质参数的一项重要任务。利用地面实测的14个样点的光谱数据,将2004年7月26日太湖TM数据的DN值,校正为遥感反射率,并利用Gordon模型和太湖水体固有光学特性,建立水体反射率模拟的分析模型,模拟水体R(0-),进而利用TM数据反演水体悬浮物浓度,并绘制太湖悬浮物浓度分布图。将悬浮物浓度反演的结果与14个样点的实测结果相比较,其中,有79%的样点的估计精度高于70%,有64%的样点的估计精度高于80%。     

基于GF-1号的舟山近岸悬浮泥沙浓度反演研究

文章利用舟山近岸实测光谱数据和国产卫星GF-1号宽视场成像仪(WFV)遥感数据,反演该海域悬浮泥沙浓度。结果表明:(1)线性模型和二次模型相比,二次模型的精确度略高于线性模型,但对于悬沙低浓度区,反演误差过大,故线性模型更适用于舟山近岸水体悬浮泥沙浓度反演;(2)GF-1号B2和B3是悬沙浓度变化的敏感波段,B3/B2波段组合的线性模型反演效果较好;(3)GF-1号遥感数据能够较理想地实现定量反演近岸水体的悬浮物。     

利用ADCP和LISST-100仪观测悬浮物浓度的研究

利用黄河口海床基声学多普勒流速剖面仪(ADCP)的周日观测资料对悬浮物浓度进行了反演,反演过程中综合考虑了球面扩散、声学近场的非球面扩散、海水和悬浮颗粒的吸收衰减以及其他因素对回声信号的影响,结果表明在粒径保持相对稳定的情况下,利用ADCP仪回声强度反演悬浮物浓度具有较高的精度.结合现场激光粒度仪(LISST-100)测得的粒径分布信息在反演过程中考虑了粒径修正,重点讨论了观测区域粒径变化对结果的影响,结果表明粒径的剧烈变化会降低体积后向散射强度与悬浮物浓度之间的相关性.大颗粒物质的存在使计算得到的悬浮物浓度偏高,粒径修正虽然在一定程度上消除了这种影响,但线性拟合的相关性并未提高.     

基于半分析算法的赤潮水体固有光学性质反演

在珠江口海域海洋光学浮标实验期间获取了赤潮生消过程的水体光学数据和相应的生化数据.利用该实验数据开展了准分析算法(quasi-analytical algorithm,QAA)反演赤潮水体固有光学参数的精度检验和模型修正工作.(1)利用遥感反射率和QAA反演主要水色波段(412,443,490,510,560,620和...     

HY-1C卫星海岸带成像仪叶绿素a浓度反演研究

叶绿素a作为最重要的水质参数之一,是评价水体富营养化和初级生产力状况的主要因素。我国海洋一号C（HY-1C）卫星海岸带成像仪（CZI）具有高时空分辨率的观测优势。本文基于东海和南海现场实测数据建立了HY-1C卫星CZI叶绿素a浓度反演模型并在实测水域进行反演,与MODIS叶绿素a浓度反演产品进行了对比验证,应用CZI叶绿素a浓度模型在珠江口、长江口、渤海湾水域进行了叶绿素a浓度反演示例试验。结果表明,叶绿素a浓度模型估算浓度与实测浓度相关系数为0.774 3,平均相对误差为24.58%,利用实测叶绿素a浓度对模型进行精度验证,相关系数达到0.993 9,平均相对误差为18.49%。模型在实测水域反演得到的叶绿素a浓度分布与MODIS叶绿素a浓度产品分布大体一致。在珠江口水域反演得到叶绿素a浓度空间分布为由西北向东南逐级递减,峰值出现在珠江口西沿岸。在长江口、渤海湾反演叶绿素a浓度空间分布均符合地理实情。研究表明HY-1C卫星CZI数据可应用于中国近海水色定量化研究。     

基于GF-4卫星的杭州湾悬浮泥沙浓度遥感监测研究

悬浮泥沙作为重要水质参数，其分布和动态变化对河口及近岸的生态、环境、物质循环等都具有深远的影响。我国静止轨道高分四号(GF-4)卫星数据具有高时间和高空间分辨率的观测优势，在水色遥感上具有重大应用潜力。为探究GF-4卫星对悬浮泥沙浓度的监测能力，本文以杭州湾为研究区，构建反演模型，利用静止海洋水色成像仪进行交叉验证。结果表明，以GF-4卫星第5和第4波段遥感反射率的比值作为遥感因子建立的反演模型精度较高，决定系数为0.92，均方根误差为223.2 mg/L，平均相对误差为17.2%。交叉验证结果显示，GF-4卫星作为一种新的遥感数据源，在低浓度区与静止海洋水色成像仪反演悬浮泥沙浓度分布相似，但在高浓度区的差异随浓度增高而增大，总体可满足中国大部分海区的监测需求。     

黄河入海口壬基酚污染分布特征

黄河口表、底层水体和沉积物中壬基酚的浓度分布特征研究结果表明,表层水体中壬基酚浓度为15.7~148.6 ng/L,平均值为47.5 ng/L;底层水体中壬基酚浓度为15.8~52.7ng/L,平均值为31.0 ng/L;表层沉积物中壬基酚浓度为2.31~5.47 ng/g,平均浓度为3.87ng/g。黄河口水体中壬基酚浓度呈现由河道向出海口外逐渐降低的趋势;河道中表层沉积物壬基酚含量高于出海口外。黄河口水体中壬基酚浓度低于文献中报道的海河口水体中的浓度,表层沉积物中壬基酚含量低于珠江口文献报道值。水体中壬基酚浓度超过抑制藤壶附着浓度(10 ng/L),河道最上游的站点水体中的浓度超过影响太平洋牡蛎幼苗的发育并增加幼苗死亡率的浓度(100 ng/L)。     

黄河三角洲北部近岸悬浮物季节性分布及驱动因素

近岸海域悬浮颗粒物的分布与扩散对水体生态环境、海岸地貌演变、水产养殖以及海岸工程等有重要影响。由于刁口河流路的改道,黄河三角洲北部成为强烈侵蚀岸段,揭示该区域的悬浮物浓度变化特征和规律是防护工程安全维护的基础。利用经良好检验的模型反演近岸海域悬浮物浓度,Landsat-8和Sentinel-2卫星影像反演结果的交叉验证表明,基于两种传感器反演的悬浮物浓度具有较强的一致性,两种卫星数据可以结合使用。研究区近岸海域悬浮物浓度季节变化明显,冬季和春季悬浮物浓度较高,夏季较低,秋季是悬浮物浓度从低向高转换的季节。冬、春季该区域风浪较大,在波浪掀沙和潮流输沙的联合作用下,底床泥沙强烈再悬浮,是形成悬浮物的主要来源,丁坝群的修建也在一定程度上改变了悬浮物的时空分布。     

Validation of semi-analytical inversion models for inherent optical properties from ocean color in coastal Yellow Sea and East China Sea

The performances of three semi-analytical retrieval models for water inherent optical properties were validated in the coastal Yellow Sea and East China Sea, including the Quasi-Analytical Algorithm (QAA), the Garver-Siegel-Maritorena model (GSM) and the Over Constrained Linear Matrix (LM). The model-retrieved parameters, namely absorption coefficients of phytoplankton (a _ph), colored dissolved and detrital particulate matter (a _dg), total absorption coefficients (a _t), and backscattering coefficient of particles (b _bp), were compared. The bio-optical datasets collected from a Yellow Sea and East China Sea cruise in April and September 2003 were used in the study. The QAA model performed the best in retrieval for all the coefficients, showing log-transformed root mean square errors of 0.306 for a _ph, 0.268 for a _dg, 0.144 for a _t, and 0.273 for b _bp at 443 nm. The LM model showed a slightly larger deviation than the QAA model with a similar error trend for absorption coefficients, but it returned the largest uncertainties for b _bp, with log-transformed root mean square error up to 0.646. The GSM model, however, yielded the largest and fluctuating errors along with wavelength for absorption coefficient retrievals. Substituting the fitting parameters from measured data for the empirical spectral parameters, all three models returned better results. These improvements demonstrated that semi-analytical algorithms designed for ocean water need regional modifications before applying to coastal areas. The QAA algorithm may be the most suitable model for retrieval for the Yellow Sea and East China Sea, and future model refinements should concentrate on regional modeling of inherent optical properties.     

Relationships between suspended particulate material, light attenuation and Secchi depth in UK marine waters

Measurements of sub-surface light attenuation (K_d), Secchi depth and suspended particulate material (SPM) were made at 382 locations in transitional, coastal and offshore waters around the United Kingdom (hereafter UK) between August 2004 and December 2005. Data were analysed statistically in relation to a marine water typology characterised by differences in tidal range, mixing and salinity. There was a strong statistically significant linear relationship between SPM and K_d for the full data set. We show that slightly better results are obtained by fitting separate models to data from transitional waters and coastal and offshore waters combined. These linear models were used to predict K_d from SPM. Using a statistic (D) to quantify the error of prediction of K_d from SPM, we found an overall prediction error rate of 23.1%. Statistically significant linear relationships were also evident between the log of Secchi depth and the log of K_d in waters around the UK. Again, statistically significant improvements were obtained by fitting separate models to estuarine and combined coastal/offshore data – however, the prediction error was improved only marginally, from 31.6% to 29.7%. Prediction was poor in transitional waters (D = 39.5%) but relatively good in coastal/offshore waters (D = 26.9%).SPM data were extracted from long term monitoring data sites held by the UK Environment Agency. The appropriate linear models (estuarine or combined coastal/offshore) were applied to the SPM data to obtain representative K_d values from estuarine, coastal and offshore sites. Estuarine waters typically had higher concentrations of SPM (8.2–73.8 mg l⁻¹) compared to coastal waters (3.0–24.1 mg l⁻¹) and offshore waters (9.3 mg l⁻¹). The higher SPM values in estuarine waters corresponded to higher values of K_d (0.8–5.6 m⁻¹). Water types that were identified by large tidal ranges and exposure typically had the highest K_d ranges in both estuarine and coastal waters. In terms of susceptibility to eutrophication, large macrotidal, well mixed estuarine waters, such as the Thames embayment and the Humber estuary were identified at least risk from eutrophic conditions due to light-limiting conditions of the water type.     

An evaluation of inversion models for retrieval of inherent optical properties from ocean color in coastal and open sea waters around Korea

This study was aimed to investigate three inversion models (currently in use with Moderate Resolution Imaging Spectroradiometer and Sea-viewing Wide Field-of-view Sensor data processing), namely constrained Linear Matrix (LM), Quasi-analytical algorithm (QAA) and GSM semi-analytical models (GSM). These models were applied to large bio-optical data sets (collected from coastal and open sea waters around Korea) to retrieve inherent optical properties (IOPs) such as absorption coefficients of phytoplankton (a _ph ), colored dissolved and detrital organic matters (a _cdm ), and particulate backscattering coefficient (b _bp ) at five wavelengths (412, 443, 490, 510, and 555 nm). The derived IOP products were compared with in situ a _ph , a _cdm and b _bp coefficients measured for the same remote sensing reflectance (R _rs (λ)) data sets used in the models and the uncertainties of the three models were assessed based on the standard statistical procedures (mean relative error MRE, root mean square error RMSE, slope, and coefficient of determination R ²). It was found that all the three models tended to yield significant errors with varying magnitude at different wavelengths. Overall performance of the models assessed based on the above statistical means was found in the following order: LM > GSM > QAA for retrieving the a _ph , LM > GSM > QAA for retrieving the a _cdm , and QAA > GSM > LM for retrieving the b _bp . Our analyses suggest that these models will require additional refinements with a full parameterization by a fully suited data set in order to produce accurate retrievals of IOPs in coastal and open sea waters around Korea.     

含沙水体水深遥感方法的研究

遥感测深技术是海岸、河口及其他水体水深测量的一种新方法,应用前景广阔。在海洋的近岸、河口处水体相对浑浊,利用可见光技术测深的精度依赖于建立合适的水深反演模型和考虑水体悬浮物质的影响。选择合适的水深反演因子和比较多种线性、非线性水深反演模型,通过对水体悬浮泥沙光谱特性的研究,建立了适于河口、近岸浅水浑浊水体并考虑悬沙浓度影响的水深反演模型。通过检验,由该模型反演的平均相对误差小于15%,在7~14 m的水深段反演效果更好,其平均相对误差小于8.5%。     

Correction of atmospheric effect on ADEOS/OCTS ocean color data: Algorithm description and evaluation of its performance

This paper first describes the atmospheric correction algorithm for OCTS visible band data used at NASDA/EOC. Sharing a basic structure with Gordon and Wang’s Sea WiFS algorithm, it uses 10 candidate aerosol models including the “Asian dust model” introduced in consideration of the unique feature of aerosols over the east Asian waters. Based on the observations at 670 and 865 nm bands, the algorithm selects a pair of aerosol models that account best for the observed spectral reflectances, and synthesizes the aerosol reflectance used for the atmospheric correction. Two different schemes for determining the value of the parameter for the aerosol model selection are presented and their anticipated estimation error is analyzed in terms of retrieved water reflectance at 443 nm. The results of our numerical simulation show that the standard deviation of the estimation error of the “weighted average” scheme is mostly within the permissible level of ±0.002, reducing the error by 18% on average compared to the “simple average” scheme. The paper further discusses the expected error under the old CZCS-type atmospheric correction, which assumes constant aerosol optical properties throughout the given image. Although our algorithm has a better performance than the CZCS algorithm, further analysis shows that the error induced by the assumption taken in the algorithm that the water-leaving radiance at 670 nm band is negligibly small may be large in high pigment concentration waters, indicating the necessity for future improvements.     

黄河入海径流对河口海域盐度影响研究

为研究黄河入海径流变化条件下河口附近海域盐度扩散特征,以更好地保护河口海域生物资源多样性,本文以黄河下游利津水文站的长序列实测径流数据资料为基础,利用近海水动力模型FVCOM,分析径流变化对黄河口海域盐度的影响规律。结果表明：黄河口与莱州湾之间存在顺时针的环流系统,在余流作用以及涨落潮方向的影响下,黄河冲淡水长期向莱州湾扩散;丰水期黄河冲淡水几乎影响了整个莱州湾,27盐度锋可以到达莱州湾中部,27等盐线的表层包络面积为2 665.61 km²,占莱州湾的1/4左右,枯水期低盐度水只有向南扩散的趋势,27以下的低盐度水集中分布在黄河口门附近,27等盐线的表层包络面积只有199.65 km²;5月份,随着入海径流量增加,27等盐线扩散的范围、距离、方向都会发生明显变化。在对近海生物资源有迫切保护需求的情景下,适当减少其他用水户供水量以增加入海生态径流量,可以有效改善黄河口海域附近的盐度情况,为生物资源的生长繁殖创造良好条件。     

Response of coastal marine eco-environment to river fluxes into the sea: a case study of the Huanghe (Yellow) River mouth and adjacent waters

The impact of the Huanghe (Yellow) River outflows on its estuary was investigated with river gauging and shipboard hydrographic observations. The river flux has been decreasing dramatically; the discharges of water and sediment in the 1990s dropped to 27.4% and 31.9% of those in the 1950s, respectively, resulting in frequent and lengthy events of downstream channel dry-up since the 1970s. There were accumulatively 897 zero-flow days during the 1990s in the river course below the Lijin Hydrological Station, 100 km upstream from the river mouth, which is 82.4% of that in 1972. As freshwater input decreases, river-borne nutrients to the estuarine increased significantly. Concentration of dissolved inorganic nitrogen (DIN) in the 1990s was four times of that in 1950s. Changes in amount and content of the riverine inputs have greatly affected the estuarine ecosystem. Over the past several decades, sea surface temperature and salinity in the estuary and its adjacent waters increased and their distribution pattern altered in response to the reduction of freshwater inflow. The distribution of and seasonal succession in nutrient concentrations in the surface layer have also changed with a shift of river outlet and the decrease in riverine nutrient loads. Furthermore, deterioration of estuarine ecosystem by less river input has decreased primary productivity in the deltaic region waters, and in turn depressed the fishery.