基于现场光谱数据的珠江口MERIS悬浮泥沙分段算法

利用珠江口海域4个航次共59个站位的实测遥感反射比和悬浮泥沙数据(悬浮泥沙浓度范围为4-140g·m-3),建立了利用MERIS遥感数据反演珠江口悬浮泥沙浓度的分段算法.算法以Rrs(620)/Rrs(560)=0.9为阈值,当Rrs(620)/Rrs(560)<0.9时,红绿波段比值可以较好地反演悬浮泥沙浓度.随着悬浮泥沙浓度的增加,Rrs(620)/Rrs(560)>0.9,红绿比值趋于饱和,对悬浮泥沙的变化响应不敏感,此时采用包含红波段和近红外波段的波段比值提取水体的悬浮泥沙浓度.利用该分段算法从MERIS遥感图像中提取珠江口水体的悬浮泥沙浓度分布,得到较好的结果.     

基于GF-WFV的厦门海域水体悬浮物浓度反演

为利用遥感技术快速、及时的掌握厦门近岸海域水体中悬浮颗粒物的总体分布情况,现场测量了厦门海域水体的下行入射辐射、天空光以及经过水气界面后反射回的辐射,计算了该海域水体表面的离水辐射获得了水体表面以上遥感反射率;同时采集了与光谱信息同步的水体样品,并分析了水体中的悬浮颗粒物质量浓度,获取了对应站位的水体反射波谱曲线和采集样品的浓度数据.通过研究不同站位水体的反射光谱数据,依据GF-WFV波段设置,对现场实测的光谱数据进行了拟合,并创建了基于GF-WFV拟合波段的悬浮颗粒物浓度经验反演算法.通过研究发现拟合(Rrs3+Rrs4)/Rrs2(其中Rrs1、Rrs2、Rrs3、Rrs4分别是GF-WFV第1、2、3、4波段的遥感反射率)同实测水体悬浮颗粒物质量浓度之间的决定系数为0.655,依据研究得出的反演算法反演该海域水体悬浮颗粒物质量浓度,其均方根误差为11.03 mg/dm3,相对误差为8.40 mg/dm3.利用同步的GF-WFV遥感数据对厦门近岸水体中总悬浮颗粒物质量浓度进行了研究,获取了研究区水体悬浮颗粒物的空间分布情况,结果表明GF-WFV遥感数据能很好的反映厦门近岸水体悬浮颗粒物浓度分布状况.     

珠江河口悬浮泥沙遥感数据集

选择 1 995— 2 0 0 0年间NOAA系列卫星AVHRR遥感器获取的珠江口及其邻近海域可见光和近红外遥感数据 ,利用基于海面 遥感器光谱反射率斜率传递现象的悬浮泥沙遥感算法 ,建立珠江口及其邻近海域 1 5 2个时相的悬浮泥沙数据集 ,进行悬浮泥沙浓度分布和变动规律的特征累积频率悬浮泥沙浓度、均值与均方差统计。结果表明 ,珠江口河口浅滩是悬浮泥沙浓度的高值区。随着径流、潮流的相互关系的变动 ,珠江口的悬浮泥沙浓度具有明显的季节变化 ,内伶仃洋悬浮泥沙浓度季节变动幅度最大 ,而磨刀门外浑浊水体的延伸方向变动幅度最大。     

江苏近岸海域HJ CCD影像悬浮泥沙遥感反演

基于2012~2014年期间江苏近岸海域实测遥感反射率、悬浮泥沙浓度及HJ CCD数据,建立该海域HJ CCD影像悬浮泥沙遥感反演模型。通过研究水体实测反射光谱特征,确定对悬浮泥沙浓度变化的敏感波段,并与悬浮泥沙浓度进行函数拟合分析。结果表明:将HJ CCD Band3的等效遥感反射率、HJ CCD Band3与Band2等效遥感反射率的比值分别作为敏感因子,并采用对数函数模拟低值区、指数函数模拟高值区获得的叠加模型表现最为突出。通过卫星应用发现,第2、3波段比值模型的遥感反演结果与实际情况相符,可有效削弱大气校正、表观反射率到遥感反射率的转换方法以及HJ CCD辐射分辨率较低等一系列问题的干扰,为江苏近岸海域HJ CCD悬浮泥沙遥感反演的最优模型。     

基于Landsat8数据的舟山群岛海域悬浮泥沙浓度遥感研究

文章利用舟山近岸海域实测水体光谱及泥沙浓度数据,分析光谱反射率与悬浮泥沙浓度的相关性,并结合Landsat8遥感数据进行该海域的悬浮泥沙浓度遥感反演。研究表明：随着水体悬浮泥沙浓度的增加,各波段的反射率相应增加,且不同波段的增幅有明显不同,水体光谱曲线存在“双峰”现象;Landsat8遥感数据的波段4与波段3的比值与悬浮泥沙浓度的相关性较好;舟山群岛海域总体处于高泥沙浓度的状态,岛屿近岸悬浮泥沙浓度明显高于开阔水域,岛屿周围的悬浮泥沙浓度呈现“西高东低”的格局;一元二次方程模型（二次模型）对舟山海域水体的悬浮泥沙浓度反演精度较其他模型（线性模型,对数模型,指数模型,幂指数模型）高;Landsat8遥感数据可用于舟山海域悬浮泥沙浓度的监测。本研究成果能为近岸海域港口建设、航道安全、环境监测等研究提供数据支持。     

珠江口海域a_g(440)遥感模式研究及应用

有色可溶性有机物质(Coloured Dissolved Organic Matter,CDOM)直接影响着海水的光学性质,为水体有机污染物含量遥感反演的基础参数之一。在水色遥感研究领域,一般用440nm波长位置的吸收系数ag(440)来表示其浓度,因而建立ag(440)遥感反演模式,对于掌握相关海域CDOM浓度的空间变化规律及进一步提取其他水环境参数具有重要的作用。利用2013年11月和2014年2月两个航次在珠江口海域现场采集的表观光学量及固有光学量数据,建立了基于HJ-1/CCD卫星传感器的ag(440)遥感反演模型,并应用于珠江口海域,得到该区域2012年1月至2014年6月晴天CDOM浓度空间动态分布图。研究结果表明:(1)现场测定的珠江口海域ag(440)在0.1~0.3m-1,且不同断面ag(440)呈现出一定的规律性变化;(2)利用现场实测数据对遥感模式估算值进行验证,计算出估算值的相对误差为9%,表明所建立模式具有较高的准确率;(3)遥感反演的CDOM空间分布数据与实测数据得到的分布特征基本吻合,整个珠江口及其邻近海域ag(440)的数值范围为0.07~0.31m-1,而且珠江口西部海域ag(440)高于中部和东部海域。     

黄、东海二类水体春季表观光谱特性与表层悬浮体浓度反演模式

利用Savitzky-Golay滤波信号处理方法,分析了南黄海、北东海2003年春季水色遥感试验所取得的遥感反射率和表层悬浮体取样数据,以期探讨该海区近岸二类水体表观光谱及其导数光谱特性,及遥感反射率及其导数与水体表层总悬浮颗粒物浓度(TSS)和悬浮泥沙浓度(SS)的关系。结果表明,遥感反射率及其一阶导数均适于水体总悬浮颗粒物浓度与悬浮泥沙浓度反演,但其更高阶导数通常会抑制悬浮泥沙的作用则不建议采用;遥感反射率及其一阶导数与ln(TSS)、ln(SS)的相关性较其与TSS和SS更为显著。基于相关分析所筛选出的较优波段,建立了南黄海、北东海水域春季总悬浮颗粒物浓度与悬浮泥沙浓度统计反演模式。     

利用混合光谱分解估测珠江口悬浮泥沙浓度

利用遥感技术估测水体中的悬浮泥沙的浓度已经成为一门成熟的技术,但将其应用于河口地区悬浮泥沙的监测仍然存在一些限制。限制之一是遥感数据（例如MODIS）的空间分辨率太低,不适合应用于河口等狭小水域的监测。相比较而言,Hyperion高光谱遥感数据有196个波段,覆盖400-2500nm的光谱范围,光谱分辨率为10nm,空间分辨率为30m,其高光谱分辨率及高空间分辨率,显示了其在河口水体悬浮泥沙遥感中的巨大潜力。利用2006年12月4号的Hyperion数据、同步实测的高光谱数据及悬浮泥沙浓度数据,对珠江口海域悬浮泥沙浓度进行了研究。利用混合光谱分解模型计算了珠江口悬浮泥沙浓度的分布。分析结果表明,混合光谱分解模型可以作为遥感监测水体悬浮泥沙浓度的定量模型。     

黄、东海区总悬浮泥沙对HY-1 CCD数据叶绿素浓度反演的影响

悬浮泥沙含量对叶绿素浓度遥感反演具有一定的抑制作用,我国近岸水体受其影响更为严重.利用国家卫星海洋应用中心组织的2003年春季大规模黄、东海区海上试验获得的较高精度实测数据,详细分析了该海区各站点总悬浮泥沙含量、叶绿素浓度与遥感反射率之间的关系,确立了悬浮泥沙含量对叶绿素浓度反演的影响方式,从而获得了不同悬浮泥沙含量条件下,HY-1卫星CCD等效波段的叶绿素浓度反演模式.分析结果表明,将总悬浮泥沙含量小于6 mg/L定义为中低混浊度水体,把大于6 mg/L定义为中高混浊度水体,然后通过选择不同的悬浮泥沙修正指数分别建模,相关性能够达到实用反演的要求.建模的精度分别为中低混浊度水体,相关性R2= 0.919,平均相对误差= 0.277;中高混浊度水体,相关性R2= 0.877,平均相对误差=0.564.中高混浊度水体叶绿素浓度的反演误差较大,主要体现在低叶绿素浓度区(Cchl<1 mg/m3),表明利用CCD数据反演中高混浊度水体低值叶绿素浓度模式还有待于进一步完善.     

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。     

Microbial Biomass and Organic Nutrients in the Deep-Sea Sediments of the Central Indian Ocean Basin

In order to assess the impact of deep-sea mining on the in situ benthic life, we measured the microbial standing stock and concentration of organic nutrients in the deep-sea sediments of the Central Indian Ocean Basin in the Indian pioneer area. Sediments were collected using box core and grab samples during September 1996. The total bacterial numbers ranged from 10 10 -10 11 cells per g -1 dry weight sediment. There was a marginal decrease in the number of bacteria from surface to 30 cm depth, though the subsurface section registered a higher number than did the surface. The highest numbers were encountered at depths of 4-8 cm. The retrievable number of bacteria were two orders less in comparison with the direct total counts of bacteria. An almost homogeneous distribution of bacteria, total organic carbon, living biomass, and lipids throughout the depth of cores indicates active microbial and benthic processes in the deep sea sediments. On the other hand, a uniform distribution of total counts of bacteria, carbohydrates, and total organic carbon in all the cores indicates their stable nature and suggests that they can serve as useful parameters for long-term monitoring of the area after the benthic disturbance. Further studies on temporal variability in this region would not only verify the observed norms of distribution of these variables but would also help to understand restabilization processes after the simulated benthic disturbance.     

海上大直径钢管桩打桩过程中桩周土强度弱化研究

海上大直径钢管桩打桩过程中,桩周土体受到强烈扰动而发生强度弱化,掌握桩周土体强度弱化规律对于准确预测打桩过程、保证工程安全具有重要意义。为研究土体强度弱化规律,开展了环剪试验模拟打桩对桩周土体的扰动,测试土体强度随剪切速率的变化规律,建立了描述土体强度弱化规律的拟合公式,引入到打桩分析软件中。研究结果表明：土体的强度折减程度不仅与土体本身的性质有关还受到土体的埋深和剪切速率的影响,埋深越深土体强度折减程度越低,剪切速率越高土体强度折减越高,在打桩分析中可采用这里推荐的线性折减方法来模拟不同深度处土体强度的折减规律。     

Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification

An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-waveletconvolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L 2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm.     

A Review of Some Environmental Issues Affecting Marine Mining

This article reviews information recently available from existing marine and coastal mining for responses to environmental issues affecting marine mining at different depths. It is particularly but not exclusively concerned with those issues affecting seabed biodiversity impact and recovery. Much information has been gathered in the past 10 years from shallow mining operations for construction aggregate, diamonds, and gold, from coastal mines discharging tailings to shallow and deep water, and from experimental deep mining tests. The responses to issues identified are summarized in a series of eight tables intended to facilitate site-specific consideration. Since impacts can spread widely in the surface mixing layer SML, and can affect the biologically productive euphotic zone, the main issues considered arise from the depth of mining relative to the SML of the sea. Where mining is below the SML, the issue is whether it is environmentally better to bring the extraction products to the surface vessel for processing (and waste discharge), or to process the extraction products as much as possible on the seabed. Responses to the issues need to be sitespecific, and dependent on adequate preoperational environmental impact and recovery prediction. For deep tailings disposal from a surface vessel, there are four important environmental unknowns: (1) the possible growth of "marine snow" (bacterial flocs) utilizing the enormous quantities of fine tailings particles (hundreds or thousands of metric tons per day) as nuclei for growth, (2) the possibility that local keystone plankton and nekton species may migrate diurnally down to and beyond the depth of deep discharge and hence be subjected to tailings impact at depth, (3) the burrow-up capability of deep benthos and their ability to survive high rates of tailings deposition, and (4) the pattern and rate of dispersion of a tailings density current through the deep water column from discharge point to seabed. Actions to obtain relevant information in general and site-specifically are suggested.     

Increased Particle Fluxes at the INDEX Site Attributable to Simulated Benthic Disturbance

Particle fluxes were measured 7 m above the sea bottom during the predisturbance, disturbance, and postdisturbance periods by using time series sediment traps attached to seven deep-sea moorings deployed in the INDEX experiment site in the Central Indian Basin. The predisturbance particle fluxes varied between 22.3 to 55.1 mg m -2 day -1 . Increased and variable particle fluxes were recorded by the sediment traps during the disturbance period. The increase observed was 0.5 to 4 times more than the background predisturbance fluxes. The increases in particle fluxes (~4 times) recorded by the sediment trap located in the southwestern direction (DMS-1) were the greatest, which could be the result of preferential movement of resuspended particles generated during the deep-sea benthic disturbance along the general current direction prevailing in this area during the experimental period. Also, the traps located closer to the disturbance area recorded greater fluxes than did the traps far away, across the Deep Sea Sediment Resuspension System path. This variability in recorded particle fluxes by the traps around the disturbance area clearly indicates that physical characteristics such as grain size and density of the resuspended particles produced during the disturbance had an important effect on particle movement. The postdisturbance measurements during ~5 days showed a reduction in particle fluxes of ~50%, indicating rapid particle settlement.     

Phylogenetic diversity and phenotypic characterization of cultivable bacterioplankton isolated from polar oceans

A set of 27 marine planktonic bacteria isolated from the polar regions was characterized by 16S rDNA sequencing and physiological and biochemical testing. More than half of these bacteria were positive for caseinase, gelatinase and 13-glucosidase, and could utilize glucose, maltose or malic acid as carbon source for cell growth. Twelve isolates expressed nitrate reduction activities. Except for one antarctic isolate BSwlO175 belonging to Actinobacteria phylum, these isolates were classified as γ-Proteobacteria, suggesting that γ-Proteobacteria dominated in cultivable marine bacterioplankton at both poles. Genus Pseudoalteromonas was the predominant group in the Chukchi Sea and the Bering Sea, and genus ShewaneUa dominated in cultivable bacterioplankton in the Prydz Bay. With sequence similarities above 97%, genus Psychrobacter was found at both poles. These 27 isolates were psychrotolerant, and significant 16S rDNA sequence similarities were found not only between arctic and antarctic marine bacteria （ 〉 99% ）, but also between polar marine bacteria and bacteria from other aquatic environments （ ≥ 98.8% ）, including temperate ocean, deep sea, pond and lake, suggesting that in the polar oceans less temperature-sensitive bacteria may be cosmopolitan and have a bipolar, even global, distribution at the species level.     

Determination of In Situ Sediment Shear Strength from Advanced Piston Corer Pullout Forces

The advanced piston corer (APC) has been used by the Ocean Drilling Program since 1985 for recovering soft sediments from the ocean floor. The pullout force measured on extracting the core barrel from the sediment is shown to correlate with the average shear strength of the sediment core measured in the ship's laboratory. A simple rule of thumb is derived relating the shear strength of the sediment to the pullout force. Multiple APC holes at individual sites allow the consistency of the pullout measurements to be assessed. The effects of different operational procedures during APC coring are also explored. Although generally applicable, the correlation between pullout force and laboratory measurements of shear strength breaks down for some APC holes, possibly because of the disturbance of some sediment types during the APC coring process. A better understanding of the physical process of APC coring, and its effect on the properties of the sediment both inside and immediately outside the core barrel, would indicate what confidence can be put on the measurement of pullout force as a way of evaluating the in situ shear strength of deep sea sediments.     

Deep-Sea Sediment Compression Curves: Some Controlling Factors, Spurious Overconsolidation, Predictions, and Geophysical Reproduction

Oedometer tests have been carried out on 70 undisturbed surficial clays (at approximately 250 mm below the mudline), mostly collected by free-fall corers from sites widely scattered throughout the deep-sea North Atlantic. Acoustic measurements were also made, initially on contiguous samples and ultimately on the same sample using a geophysically instrumented oedometer which also collected electrical resistivity data. Apart from those quiescent areas below the carbonate compensation depth, such as north of the West Indies where very fine clays exist, most of the samples are silty clays whose geotechnical-geophysical properties are dependent on the type of clay minerals present (and their ability to take in moisture), the sand-size fraction, and the quantity of carbonate present. Thus the pure clays have high compressibilities which decrease on the addition of coarse particles, while the converse is true for the acoustic parameters, these increasing with the sand fraction. Using the notion of the intrinsic compression line for all samples, and comparison to it of the measured compression curves, it is clear that, contrary to some previously held ideas, most deep-sea clays are normally consolidated; the addition of carbonate has the effect of creating an open, stronger sediment skeleton. Interestingly, where information is available, the variation with depth of a sample's acoustic velocity follows the void ratio pressure relationship of the compression curve. This allows the construction of an in-situ sediment compression curve using the in-situ geophysical observations.