水体透明度两种半分析反演模型的对比与分析

针对目前反演遥感透明度的方法多是经验方法,而半分析方法运用在二类水体时,由于分析参数较难获取导致应用较少等问题,本文在缺少相关光学参数实测数据的情况下,基于GOCI卫星影像数据及实测透明度数据开展两种半分析透明度反演模型的对比与分析。首先选用555 nm和660 nm两种参考波段的QAA-v6算法分别反演水体固有光学参数,代入到Lee15和Jiang19两种半分析模型中定量反演胶州湾水域透明度。结果表明,660nm作为参考波段的Lee15模型反演精度更高,误差更小(R²=0.771, MAPE=0.137, RMSE=0.331)。为进一步探究各模型在不同透明度范围内的反演精度,将透明度范围分成3段(0.5～1.5, 1.5～2.5, 2.5～3.5 m)分别进行误差分析后发现, 660 nm Lee15模型在各分段均达到最佳精度。所以该模型能够为胶州湾这种二类水体的透明度反演提供一条有效途径。     

河口及近岸海域环境污染研究动态

本文对该领域最近的国际研究动向与研究热点，新技术与新方法的应用进行了简单的介绍，并对未来可能的发展方向进行预测。     

利用SeaWiFS反演海水透明度的模式研究

海水透明度是描述海水光学特性的一个基本参数.根据水下光辐射传输理论及对比度传输理论,建立了海水透明度的半分析定量遥感模式.利用大量实测透明度资料对模式进行了验证,结果表明遥感反演透明度与实测透明度的相关系数为0.84,绝对平均误差为4.17m,相对平均误差为22.6%.最后利用建立的模式和Sea WiFS卫星资料制作了我国海域1999年的月平均透明度遥感产品.     

基于半分析方法的黄河口悬浮物浓度遥感反演

河口区的悬浮物浓度受陆源输入和水动力等其他因素的影响严重,具有重要研究意义。本文利用黄河口及其邻近区域采集的145个站位光谱数据和悬浮物(Suspended Particulate Matter,SPM)浓度数据,检验了Nechad模型、多波段准分析算法(Quasi-Analytical Algorithm,QAA)、最优化模型和半经验辐射传输模型(Semi-Empirical Radiative Transfer,SERT)在黄河口水域的适用性。结果表明,QAA561模型和Nechad561模型在低浓度水域反演结果较好,QAA655模型反演结果较差,Nechad665模型适合于低浓度水域,但反演精度低。QAA865模型和Nechad865模型在中高浓度水域的反演结果较好。SERT655模型反演精度较低。最优化模型和SERT滑动模型的反演精度较高。由于黄河口水域悬浮物浓度变化范围较大,因此,本文建立了分段QAA模型和Nechad模型。分段模型的反演结果均优于单一模型。根据误差敏感性分析可知,Nechad分段模型和QAA分段模型对于遥感反射率的50%以内的误差不敏感,稳定可靠。将分段模型应用于Landsat-8 OLI数据,获取了悬浮物浓度时空分布图。结果表明,反演结果与已有研究具有相似的分布特征。两种模型得到的悬浮物浓度在数值上存在差异,然而分布趋势在中高浓度季节有非常好的一致性。     

水体透明度遥感反演算法研究进展

水体透明度(Secchi Disk depth,SDD)是水环境监测的重要参数,遥感技术对于监测水体透明度具有重要的应用前景。本文旨在分类和比较当前用于监测水体透明度的算法,并提出未来研究的方向,以推动水环境监测技术的进一步发展。文章对目前检索水体透明度的算法进行分类和比较。其中,经验算法、半分析算法和机器学习算法是目前研究的主要方向。通过分析算法特性和优缺点,提出未来研究的重点和方向。经验算法基于透明度与光谱数据、叶绿素a浓度等的相关性,半分析算法基于水下能见度理论,机器学习算法则基于更优的数据特征学习能力。不同算法具有各自的适用范围和限制。未来的研究应该着重于整合多源遥感数据,改进QAA (quasi-analytical-algorithm),深入分析光学参数与水体透明度的关系,将机器学习算法应用到水体透明度模型的建立中,以建立具有高精度、适用性广的反演模型。     

1986—2017年胶州湾水体透明度时空变化及影响因素研究

借助遥感技术能够获取长时序大范围数据的特点,利用1986—2017年的Landsat TM/ETM+/OLI影像,通过构建基于实测数据的定量反演模型,分析了32年来胶州湾海域水体透明度的时空分布特征和变化规律,并探究其主要影响因素。结果表明,年均水体透明度的变化范围为1.55～2.55m,且空间分布规律稳定,呈现东南高西北低的特点;季均水体透明度从高到低依次为冬季(2.09m)、春季(1.83 m)、秋季(1.82 m)、夏季(1.43 m)。利用气象数据及胶州湾流域的土地利用分类/景观格局数据,从自然环境和人类活动两方面分析影响胶州湾水体透明度时空分布的因素,发现胶州湾水体透明度与入海径流量、降水量存在显著的负相关关系,并受到近海养殖区破碎化程度和修建大型人工设施等人为因素的影响。     

黄海、东海二类水体漫衰减系数与透明度反演模式研究

黄海、东海是典型的二类水体区域,总悬浮物含量高,水体光学特性复杂.利用2003年春秋季黄海、东海水色联合试验中获取的高质量现场实测数据,建立了由遥感反射比反演水体在490nm波段的漫衰减系数和海水透明度的统计反演模式.这两种模式皆采用490,555,670nm三个波段的组合,漫衰减系数的反演值和实测值的相关系数为0.96,平均相对误差为17.2%;透明度的反演值与实测值的相关系数为0.95,平均相对误差为16.8%.对两种反演模式对遥感反射比输入误差的敏感性进行了分析,结果表明反演模式对±5%的遥感反射比输入误差导致490nm波段的漫衰减系数反演误差最大为27.3%,透明度最大误差为22.7%,并利用2003年春秋季同一海区的实测数据对模型进行了检验,漫衰减系数的平均相对误差为25.0%,透明度的为16.5%.给出了412,443,510,520,555,565nm各波段的漫衰减系数同波段490nm的漫衰减系数之间的关系,结果表明,在400~600nm波段中的每一个波段的漫衰减系数与490nm波段的漫衰减系数的相关性较高,相关系数都超过了0.98.这样利用建立的各波段漫衰减系数关系模型可以从一个已知波段的漫衰减系数反演出其他任何波段的漫衰减系数,这就在水色反演和应用中大大减少了未知因子的个数.     

基于半分析模型的高光谱遥感水深探测方法

海岸带浅水和底质的成分复杂且分布不均,使遥感水深探测面临很大挑战.尝试通过利用Hydrolight 仿真建立的遥感反射率半分析模型来解决这个问题.采用英属维尔京群岛彼得岛的高光谱影像,应用非线性优化的方法提取了水下地形.从反演水深和海图标注水深拟合的趋势线斜率为0.939 2,决定系数为0.825 8.试验结果证明,使...     

青岛近岸海域海水透明度时空变化及与环境因子之间的关系

根据2014年3,5,8和10月青岛近岸海域的海洋监测资料,分析了海水透明度的时空分布状况。利用多元线性回归方法,以透明度为因变量,筛选出水深、水温、盐度、硝酸盐、亚硝酸盐、溶解氧和叶绿素a七个影响显著的关键环境因子,建立了最优的多元线性回归统计模型;利用单因子相关性分析方法和曲线拟合分析结果,进一步证明了海水透明度与叶绿素a含量、悬浮物含量及水深呈显著相关,并得出曲线拟合方程。     

基于半分析模型和非线性优化的高光谱遥感水深探测

海岸带浅水和底质的成分复杂且分布不均,使遥感水深探测面临很大挑战。 尝试通过利用 Hydrolight 仿真建立的遥感反射率半分析模型来解决这个问题。 采用英属维尔京群岛彼得岛的高光谱影像,应用非线性优化的方法提取了水下地形。 从反演水深和海图标注水深拟合的趋势线斜率为 0. 9392,决定系数为 0. 8258。 试验结果证明,使用定标好的高光谱影像进行海岸带地区快速水深探测是可行的。     

Method of integrating landsat-5 and landsat-7 data to retrieve sea surface temperature in coastal waters on the basis of local empirical algorithm

A useful radiance-converting method was developed to convert the Landsat-7 ETM+thermal-infrared (TIR) band’s radiance (Lλ,_L7/ETM+) to that of Landsat-5 TM TIR (Lλ,_L5/TM) as: Lλ,_L5/TM=0.9699xLλ,_L7/ETM++0.1074 (R²=1). In addition, based on the radiance-converting equation and the linear relation between digital number (DN) and at-satellite radiance, a DN-converting equation can be established to convert DN value of the TIR band between Landsat-5 and Landsat-7. Via this method, it is easy to integrate Landsat-5 and Landsat-7 TIR data to retrieve the sea surface temperature (SST) in coastal waters on the basis of local empirical algorithms in which the radiance or DN of Lansat-5 and 7 TIR band is usually the only input independent variable. The method was employed in a local empirical algorithm in Daya Bay, China, to detect the thermal pollution of cooling water discharge from the Daya Bay nuclear power station (DNPS). This work demonstrates that radiance conversion is an effective approach to integration of Landsat-5 and Landsat-7 data in the process of a SST retrieval which is based on local empirical algorithms.     

典型入海口海岸带生态环境质量遥感评价研究——以宝山区为例

为了研究入海口海岸带生态环境质量状况,基于遥感信息技术,从土地利用的角度,构建入海口海岸带生态环境遥感评价体系,通过层次分析法并结合专家咨询法,以上海市宝山区岸线向陆5 km区域为例进行评价,得到各区域综合评价值。结果表明,宝山区入海口海岸带以工矿仓储用地为主,该区域生态环境质量自西向东逐渐下降,在练祁河和马路河之间区域到达最低点,向东开始回升,总体生态环境质量呈较差状态。     

Particulate organic matter in the coastal and estuarine waters of Goa and its relationship with phytoplankton production

In the coastal and estuarine waters of Goa, particulate organic carbon (POC) varied from 0.52 to 2.51 mg l^?1 and from 0.28 to 5.24 mg l^?1 and particulate phosphorus (PP) varied from 0.71 to 5.18 μg l^?1 and from 0.78 to 20.34 μg l^?1, respectively. The mean values of chlorophyll and primary productivity were 1.94 mg m^?3 and 938.1 mg C m^?2 day^?1 in the coastal waters and 4.3 mg m^?3 and 636.5 mg C m^?1 day^?1 in the estuarine waters, respectively.$\text{POC}\text{chl}$ ratios were low in June and October even when POC values were quite high. The POC in surface waters was linearly correlated with the chlorophyll content. Also PP increased when chlorophyll and primary productivity remained high. The results suggest that the phytoplankton was sharply increasing and contributed to POC and PP content. The percentage of detritus calculated from the intercept values of chlorophyll on POC varied from 46 to 76% depending on season. Results indicate that the major portion of POC and PP during postmonsoon (October–January) is derived from phytoplankton production while the allochthonous matter predominate during monsoon (June–September).     

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.     

河口海岸三维双σ坐标斜压水流数值模型研究

在海底地形陡变、垂向密度分层明显的水域,三维σ坐标模式中会出现一种"伪"水平斜压梯度力,并会引起"伪"密度流,以至于影响模拟的精度。垂向上引入双σ坐标变换,建立河口海岸水域三维斜压水流数值模型。数值试验结果表明,在海底地形陡变水域,双σ坐标模式可以减小水平斜压梯度力处理引起的误差。     

河口海岸三维水流数值模型中几种垂向坐标模式研究述评

回顾了近年来国内外河口、近岸海域三维斜压水流数值模式研究的进展,着重讨论了不同垂向坐标下三维水流模式的发展状况以及存在的问题。地形拟合坐标(σ坐标)模式可以很好地拟合床面地形和自由面,已在物理海洋学中被广泛使用。但在地形变化剧烈,尤其在密度层结效应明显的海域,σ坐标模式中的水平压强梯度力误差会引起伪密度流。寻求高精度的数值模式以及更加有效的拟合坐标变换将是值得努力的方向。     

深圳沿岸海域净初级生产力的遥感反演及其时空变化分析

以深圳沿岸海域为研究区,以MODIS/AQUA卫星遥感产品为数据源,结合实测浮标数据修正了VGPM中叶绿素a含量的估算进而分析深圳沿岸海域净初级生产力的时空分布规律.研究表明:(1)深圳沿岸海域2014年2、5、8、10月的净初级生产力在空间分布上从近海向外逐渐降低,初级生产力整体呈现出"西高东低"的局面,且未有明显的季节性波动.(2)4个海区的叶绿素a含量均表现为夏季最高秋冬季次之,但各海区主要影响因素不同,珠江口主要受季风造成的浮游植物种类与细胞密度的季节变化影响,大亚湾主要受营养盐限制,大鹏湾的主导因素为湾内余流的季节变化,深圳湾的叶绿素a含量主要与浮游植物细胞密度的季节变化有关.(3)珠江口的初级生产力春夏季高于秋冬季;大鹏湾的初级生产力夏季最高,且季节变化趋势与叶绿素a表现一致;深圳湾的初级生产力夏季最高,且季节变化趋势与海表温度表现一致;大亚湾的初级生产力波动明显,夏冬季海洋初级生产力数值总体高于春秋季.     

河口海岸二维悬沙数学模型挟沙力公式修正及应用

在河口海岸二维悬沙数学模型中,半潮或全潮平均的潮流挟沙能力并不能完全反映其逐时的实际情况,为此进行了分析研究。研究结果表明:1)应用半潮或全潮平均的潮流挟沙力公式进行悬沙数值模拟时,应引入一个修正系数;2)该修正系数与公式中的指数成反比,与相对水深成正比,且与相位角也存在一定联系;3)该修正系数理论正确、实用方便、验证成果良好,实例计算表明能够较好地复演天然悬沙场分布。     

An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters

An optical model is developed for the remote sensing of coloured dissolved organic matter (CDOM) in a wide range of waters within coastal and open ocean environments. The absorption of CDOM (denoted as a_g) is generally considered as an exponential form model, which has two important parameters – the slope S and absorption of CDOM at a reference wavelength a_g(λ₀). The empirical relationships for deriving these two parameters are established using in-situ bio-optical datasets. These relationships use the spectral remote sensing reflectance (R_rs) ratio at two wavelengths R_rs(670)/R_rs(490), which avoids the known atmospheric correction problems and is sensitive to CDOM absorption and chlorophyll in coastal/ocean waters. This ratio has tight relationships with a_g(412) and a_g(443) yielding correlation coefficients between 0.77 and 0.78. The new model, with the above parameterization applied to independent datasets (NOMAD SeaWiFS match-ups and Carder datasets), shows good retrievals of the a_g(λ) with regression slopes close to unity, little bias and low mean relative and root mean square errors. These statistical estimates improve significantly over other inversion models (e.g., Linear Matrix-LM and Garver-Siegel-Maritorena-GSM semi-analytical models) when applied to the same datasets. These results demonstrate a good performance of the proposed model in both coastal and open ocean waters, which has the potential to improve our knowledge of the biogeochemical cycles and processes in these domains.