大河三角洲河口海岸演化机理模型研究:(II)模型构建与实证

本文以z坐标下的三维斜压海洋动力学数值模式为基本模式原型 ,在整理渤海基本数据并诊断计算风生环流和热盐环流作为背景环流场基础上 ,初步建立了渤海海域动力环境数值模式。模式采用了经校正的Bagnold型方程来计算渤海底移质沉积物输运 ,悬移质计算则是取二维深度平均悬移质输运方程和河床变形方程 ,计算含沙量分布以及由悬移物引起的冲淤厚度。利用这种方法建立的沉积物输运模式 ,定量模拟了渤海沿岸和海底的沉积物输运方向和冲淤分布。模拟结果与通过多年实测水深估算获得的渤海海底沉积物的冲淤变化分布相比较 ,两者之间在基本结论上是比较一致的     

黄河入海泥沙输运及沉积过程的数值模拟

以利津站代表的黄河入海径流和泥沙数据驱动ECOMSED模型,对黄河入海泥沙悬移输运过程的逐月时空变化、输送通量以及海底沉积效应进行了数值模拟实验。分析结果表明,在忽略再悬浮作用条件下,黄河入海泥沙的输运扩散过程具有明显的季节变化规律,且这种变化具有年际相似性。黄河泥沙入渤海后总体朝向辽东湾西侧海岸扩散,而主要沉降区域是黄河口附近,且随着距离的增大,沉积通量迅速降低。模拟沉积速率一般在0.5~0.1 mm/年左右,与实际调查结果非常接近。海底地形等高线向渤海海盆西部、渤海湾南部,以及渤海海峡方向突出,也反映了泥沙通量的输送方向。从黄河入海泥沙悬移扩散过程的季节变化特征及其海底沉积效应来看,渤海海域泥沙悬移输运过程受潮汐动力、余流和和底层流场等因子的制约。除了黄河河口地区以外,各月悬浮泥沙高浓度区基本一致,集中分布在潮流能量最强的海域,潮流水平动能的大小与悬沙浓度大小分布基本一致。泥沙悬移输运方向与模拟获得的渤海三维风驱-潮致Lagrange余流的方向具有明显的相关关系,泥沙扩散的方向和强度明显受余流方向和强度的控制。     

地统计法支持的北部湾东部海域沉积物粒径趋势分析

在北部湾东部海域采集表层沉积物71 个, 通过粒度分析获得其粒度参数(平均粒径、分选系数、偏态), 用克里格插值法将不规则采样站位的粒度参数内插为规则网格分布的相应粒度参数。采用地统计法分析其空间相关性, 计算度量空间相关性范围的参数, 即半方差图中的变程值。结果表明, 使用地统计分析获得的粒度参数变程值物理意义较为明确, 可作为粒径趋势分析模型的特征距离, 其中分选系数变程值作为特征距离的计算结果与前人的海流、沉积物输运信息更为吻合; 这在一定程度上消除了传统方法(试算法或经验估计法) 获取特征 距离可能造成的模型计算误差。采用不同间距插值时得到的粒径趋势矢量具有不同的空间分 辨率, 其中高分辨率的细化图所反映的海底沉积物净输运趋势与余流和环流等所反映的沉积物输运细节特征吻合较好, 低分辨率的概化图可大致反映该区域沉积物的总体输运趋势。地统计分析的结果对未来研究工作中采样间距的选取也具有指导意义。     

山地背风涡旋的数值研究

本文建立了一个三维原始方程数值模式，模拟山地背风坡的环流系统。模拟结果表明，在较强层结条件下，山地背风坡上地形性中尺度斜压性大大加强，引起背风坡上的反向环流和涡旋偶极子，非粘性动力强迫效应是流场分离的重要机制。     

测量沉积年代的铅210法

海洋湖沼中的悬移质,像雪片似地不断地沉至海底和湖底,变成沉积物。过去发生的事件和现象,按时代顺序保存在沉积物中。     

EOF分析在海岸地貌与沉积学研究中的应用进展

海岸地貌形成演化的过程和机制是当今海岸地貌与沉积学研究的核心任务.但是,对于海岸带这样高维数非线性系统行为的认识与研究还很有限,因而预测海岸地区地貌演变与沉积物输运就变得比较困难,尤其是动力数值模型在较大时空尺度上的模拟并不理想.数据驱动模型可以一定程度上解决这一问题,并且在数据驱动模型构建之前,经验正交函数(EOF)分析技术能够有效提取、定量表达数据中的主要型式与它们的时空演变,以及不同型式之间是如何相互联系的.这不但有助于构建数据驱动模型进行模拟,更有益于理解这些主控因素是如何影响海岸地貌演化的.进而不断丰富对于海岸地貌演化的过程与机制的认识.故本文在系统整理大量国内外文献的基础上.首先简要介绍了EOF分析的基本原理.然后从砂质和淤泥质海岸剖面的时空变化特征、河口近岸海底冲淤变化的时空演变特征和预测、海岸海洋地区沉积物粒度分布特征和输运等几个方面综述EOF分析在这些研究中的应用进展,同时比较分析研究实例中的问题,进而分析当前研究中的不足,提出应该主要从提高海岸地貌与沉积数据的野外获取手段与时空分辨率,拓宽可供EOF分析的时间或非时间序列的数据类型:深人挖掘EOF分析结果所显示出的海岸地貌与沉积现象中的物理过程与机制.以期为特定时空尺度的海岸地貌与沉积数值模拟提供有价值的参考信息:多与其他线性或非线性分析技术联合使用以作深入分析解释或模拟这三方面来做进一步改进,为实现EOF分析在海岸地貌与沉积学研究中的深入应用与发展提供借鉴.     

黄河小北干流汛期和非汛期冲淤过程模拟

滞后性是河流系统自动调整的重要特征之一。根据河道演变的滞后响应机制,在考虑上游来水来沙和下游侵蚀基准面（潼关高程）共同影响的基础上,建立了能够模拟河道汛期和非汛期冲淤过程的滞后响应模型,并采用黄河小北干流1960-2015年的冲淤资料进行参数率定（1960-2001年）和模型验证（2002-2015年）。结果表明该模型能较好地模拟小北干流汛期和非汛期的冲淤过程。汛期和非汛期累计冲淤量的模拟效果优于单个冲淤量;累计冲淤量和单个冲淤量的模拟效果汛期要优于非汛期。三门峡水库修建后,1960-2015年间小北干流汛期和非汛期的冲淤过程表现出时段差异。根据建立的滞后响应模型,本文分析了来水来沙和潼关高程对小北干流汛期和非汛期各个特征时段冲淤的贡献率,汛期和非汛期的第一时段（1960-1970年,1960-1968年）主要受到潼关高程的影响,但是后续时段主要受到来水来沙的影响。     

黄河内蒙古河段非汛期和汛期冲淤量计算方法

基于多沙河流“多来多排”的经验输沙公式,建立了考虑上站来沙量、前期河床累计淤积量、临界输沙水量及干支流泥沙粒径影响的非汛期和汛期输沙量一般表达式。在此基础上,根据黄河内蒙古河段1952-2010年实测的水沙资料,将其应用于黄河内蒙古河段巴彦高勒—三湖河口河段、三湖河口—头道拐河段以及巴彦高勒—头道拐全河段非汛期和汛期输沙量的计算,并应用输沙率法计算了各河段1952-2010年的非汛期和汛期冲淤量及其相应的累计冲淤量。通过输沙量、冲淤量和累计冲淤量计算值与实测值的对比表明,各河段非汛期和汛期输沙量、冲淤量及相应的累计淤积量计算值与实测值的吻合较好,其中非汛期和汛期输沙量计算值和实测值之间的相关系数R²分别约为0.93和0.97;非汛期和汛期冲淤量计算值与实测值之间的相关系数R²分别约为0.80和0.90;非汛期和汛期累计冲淤量之间的相关系数R²分别约为0.94和0.99。结果表明,就吻合程度而言,累计冲淤量优于年冲淤量,汛期优于非汛期。本文建立的冲淤量方法能够很好模拟该河段长历时的非汛期和汛期冲淤过程,可为黄河内蒙古河段输沙量及长期淤积发展趋势的分析提供科学依据。     

珠江三角洲干流汊道泥沙分配及变化--以西、北江三角洲为例

通过对６０年代和９０年代珠江三角洲河网典型汊河泥沙分配变化的对比分析,认为（１）珠江河口区的泥沙主要来自陆相径流挟带的下行泥沙和随潮流挟带的上溯泥沙,其中径流及其挟带的泥沙是现代珠江三角洲建造过程中的基本动力和物质,起着主导作用,而珠江河口区由径流挟带的悬移质泥沙又主要来自西江。（２）西北江干沙处于逐年淤积的总趋势,其中河流段冲淤变化不大,过渡段有冲有淤,以淤为主,潮流段由是普遍淤积。（４）海平面     

杭州湾南岸互花米草生物海岸表层沉积物粒度分析

互花米草盐沼可显著改变潮滩的水动力条件、沉积特征和地貌演化过程。分析杭州湾南岸互花米草滩内外表层沉积物的粒度特征,互花米草生物海岸沉积物包括粘土质粉砂、粉砂、粉砂质砂和砂质粉砂4类,由东向西各断面草滩内、外沉积物中值粒径逐渐变粗,分选性变好;从低潮滩向高潮滩沉积物的中值粒径Φ值增大,分选性变差。互花米草滩外边界处形成沉积物中值粒径及分选系数的突变点。杭州湾南岸生物海岸表层沉积物以跃移质为主,悬移质次之,推移质最少;由海向岸悬移质、跃移质和推移质均有变细趋势。     

Diagnostic experiments for transport mechanisms of suspended sediment discharged from the Yellow River in the Bohai Sea

Five diagnostic experiments with a 3D baroclinic hydrodynamic and sediment transport model ECOMSED in couple with the third generation wave model SWAN and the Grant–Madsen bottom boundary layer model driven by the monthly sediment load of the Yellow River, were conducted to separately diagnose effects of different hydrodynamic factors on transport of suspended sediment discharged from the Yellow River in the Bohai Sea. Both transport and spatio-temporal distribution of suspended sediment concentration in the Bohai Sea were numerially simulated. It could be concluded that suspended sediment discharged from the Yellow River cannot be delivered in long distance under the condition of tidal current. Almost all of sediments from the Yellow River are deposited outside the delta under the condition of wind-driven current, and only very small of them are transported faraway. On the basis of wind forcing, sediments from the Yellow River are mainly transported north-northwestward, and others which are first delivered to the Laizhou Bay are continuously moved northward. An obvious 3D structure characteristic of sediment transport is produced in the wind-driven and tide-induced residual circulation condition. Transport patterns at all layers are generally consistent with circulation structure, but there is apparent deviation between the depth-averaged sediment flux and the circulation structure. The phase of temporal variation of sediment concentration is consistent with that of the bottom shear stress, both of which are proved to have a ten-day cycle in wave and current condition.     

黄河入海泥沙悬移输送机制的控制试验(英文)

Five diagnostic experiments with a 3D baroclinic hydrodynamic and sediment transport model ECOMSED in couple with the third generation wave model SWAN and the Grant-Madsen bottom boundary layer model driven by the monthly sediment load of the Yellow River, were conducted to separately diagnose effects of different hydrodynamic factors on transport of suspended sediment discharged from the Yellow River in the Bohai Sea. Both transport and spatio-temporal distribution of suspended sediment concentration in the Bohai Sea were numerially simulated. It could be concluded that suspended sediment discharged from the Yellow River cannot be delivered in long distance under the condition of tidal current. Almost all of sediments from the Yellow River are deposited outside the delta under the condition of wind-driven current, and only very small of them are transported faraway. On the basis of wind forcing, sediments from the Yellow River are mainly transported north-northwestward, and others which are first delivered to the Laizhou Bay are continuously moved northward. An obvious 3D structure characteristic of sediment transport is produced in the wind-driven and tide-induced residual circulation condition. Transport patterns at all layers are generally consistent with circulation structure, but there is apparent deviation between the depth-averaged sediment flux and the circulation structure. The phase of temporal variation of sediment concentration is consistent with that of the bottom shear stress, both of which are proved to have a ten-day cycle in wave and current condition.     

渤海风驱-潮致拉格朗日余流的数值模拟与季相时空变异

利用HellermanandRosenstein全球风应力资料中的多年月平均风场资料驱动ECOM模型,设计了潮致、纯风生以及风与潮两者叠加三个数值实验对渤海海域风驱-潮致拉格朗日(Lagrange)余流的逐月时空分布与季节变化进行了模拟。研究结果表明,季风的大小和方向决定了渤海风驱-潮致拉格朗日余流的大小和方向,是影响余流流向和流速的重要因素。冬季,从渤海西岸到莱州湾海域风驱-潮致拉格朗日余流表现出一个大逆时针环流,辽东湾呈现顺时针方向流动,渤海中部存在一个弱的顺时针流环。夏季,整个渤海海域呈现顺时针流况,渤海海盆存在一微弱的逆时针涡旋,一支西南向流沿辽东湾东岸穿越渤海海盆,与起自渤海湾的东向流一起进入莱州湾。风驱-潮致拉格朗日余流主要受风的控制,潮汐则起到一定的调整作用。     

黄河入海悬沙季节输送变化与输送机制的数值研究(英文)

Based on sediment and discharge flux data for the Yellow River, realistic forcing fields and bathymetry of the Bohai Sea, a suspended sediment transport module is driven by a wave-current coupled model to research seasonal variations and mechanisms of suspended load transport to the Bohai Sea. It could be concluded that surface sediment concentration indicates a distinct spatial distribution characteristic that varies seasonally in the Bohai Sea. Sediment concentration is rather high near the Yellow River estuary, seasonal variations of which are controlled by quantity of sediment from the Yellow River, suspended sediment concentration reaches its maximum during summer and fall. Furthermore, sediment concentration decreases rapidly in other seas far from the Yellow River estuary and maintains a very low level in the center of the Bohai Sea, and is dominated by seasonal variations of climatology wind field in the Bohai Sea. Only a small amount of sediments imported from the Yellow River are delivered northwestward to the southern coast of the Bohai Bay. Majority of sediments are transported southeastward to the Laizhou Bay, where sediments are continuously delivered into the center of the Bohai Sea in a northeastward direction, and part of them are transported eastward alongshore through the Bohai Strait. 69% of sediments from the Yellow River are deposited near the river delta, 31% conveyed seaward, within which, 4% exported to the northern Yellow Sea through the Bohai Strait. Wind wave is the most essential contributor to seasonal variations of sediment concentration in the Bohai Sea, and the contribution of tidal currents is also significant in shallow waters when wind speed is low.     

Numerical simulation on seasonal transport variations and mechanisms of suspended sediment discharged from the Yellow River to the Bohai Sea

Based on sediment and discharge flux data for the Yellow River, realistic forcing fields and bathymetry of the Bohai Sea, a suspended sediment transport module is driven by a wave-current coupled model to research seasonal variations and mechanisms of suspended load transport to the Bohai Sea. It could be concluded that surface sediment concentration indicates a distinct spatial distribution characteristic that varies seasonally in the Bohai Sea. Sediment concentration is rather high near the Yellow River estuary, seasonal variations of which are controlled by quantity of sediment from the Yellow River, suspended sediment concentration reaches its maximum during summer and fall. Furthermore, sediment concentration decreases rapidly in other seas far from the Yellow River estuary and maintains a very low level in the center of the Bohai Sea, and is dominated by seasonal variations of climatology wind field in the Bohai Sea. Only a small amount of sediments imported from the Yellow River are delivered northwestward to the southern coast of the Bohai Bay. Majority of sediments are transported southeastward to the Laizhou Bay, where sediments are continuously delivered into the center of the Bohai Sea in a northeastward direction, and part of them are transported eastward alongshore through the Bohai Strait. 69% of sediments from the Yellow River are deposited near the river delta, 31% conveyed seaward, within which, 4% exported to the northern Yellow Sea through the Bohai Strait. Wind wave is the most essential contributor to seasonal variations of sediment concentration in the Bohai Sea, and the contribution of tidal currents is also significant in shallow waters when wind speed is low.     

年代际尺度海岸演化机制与动力-统计建模方法

发展中长时间尺度的海岸演化预测方法与机理模型,是目前国际海岸演化研究领域关注的焦点和最具挑战性课题。本文系统性地回顾了近半个世纪以来不同时间尺度海岸演化模式的研究发展历程和成果,从动力机制和时间尺度两个方面对海岸演化机理模型存在的主要建模瓶颈问题进行了系统总结。通过对渤海湾西岸近一个半世纪以来海岸演化机制的初步分析,提出了以泥沙收支、环流输送、波浪掀沙以及波气候变化等要素作为年代际尺度海岸演化主要驱动因子,基于驱动力概化与统计升尺度有机衔接的年代际尺度海岸演化机理模型的动力—统计建模方法框架新思路,为推动海岸演化动力学理论体系和中长时间尺度海岸演化预测方法创新,提供了重要科学依据和借鉴。     

渤海与环渤海地区年降水量的统计分析

本文以渤海海域及环渤海地区分水岭内为研究区域,利用环渤海地区分水岭内92个气象站点自1971年至2000年30年的降水量资料,基于ARC/INFO地理信息系统支持下的泰森多边形法,对研究区域内的平均年降水量进行了统计分析。结论如下:环渤海地区分水岭以内区域的平均年降水量占整个环渤海地区2000年降水量的63.88%;渤海海域海水直接利用量占该海域平均年降水量的8.82%,其中辽东湾的海水利用量占该湾平均年降水量的3.09%,渤海湾为15.86%,莱州湾为17.38%;辽东湾2002年的海冰资源量占该湾平均年降水量的6.08%。在渤海海域水量平衡的关系研究中,本研究是初步的,基础的。划出分水岭内的研究区域进行平均年降水量的统计较对整个环渤海地区进行统计更具精确性。     

渤海氮污染的来源结构与污染压力空间分布

近30年渤海环境发生了巨大变化,陆源污染输入是导致渤海环境恶化的主要原因。为研究陆源污染压力强度与海域污染的空间关系,采用层级嵌套的水污染输出分区方法,将环渤海地区划分为23个陆海统筹管理分区,并基于土地利用数据、社会经济统计数据和污染普查等资料,估算出环渤海地区五类社会经济活动的总氮排放量,进而分析各分区单元的陆源污染压力。研究结果表明：① 渤海周边陆域总氮排放量约85万t,农业农村面源污染是氮污染的主要来源,占总排放量的57.4%,工业污染贡献有限,渤海湾沿岸城镇居民生活排放突出;② 23个陆海统筹管理分区之间的污染压力差异巨大,辽东湾、渤海湾和莱州湾周边的分区陆源污染压力大,其它分区的压力相对较低,各分区内陆域污染压力与对应海域污染状况在空间上高度一致;③ 各分区之间污染的来源构成差异显著,渤海湾氮污染的主要来源是居民生活排放,辽东湾工业污染相对突出,莱州湾农业面源污染占比大;④ 渤海周边陆源污染排海压力短期内难以缓解。     

海洋悬浮泥沙二元特征参数 MODIS遥感反演模型研究

本文提出了一种采用海面离水辐射率和泥沙粒径二元特征参数来反演研究海区(渤海)海洋表层悬浮泥沙浓度的新的遥感反演算法,以此为基础分别建立了基于MODIS遥感数据和泥沙粒径二元特征参数的主成分和神经网络两种泥沙浓度反演模型,并对比分析了两类模型的反演精度以及泥沙粒径因子对模型的影响。分析结果表明,新建立的二元特征参数反演算法在采用主成分模型和神经网络模型时的检验误差分别为0.256和0.244,而忽略泥沙粒径因子贡献的主成分模型和神经网络模型的检验误差分别为0.384和0.390,因此可以认为,在泥沙浓度反演模型中加入粒径因子时,模型的预测精度和模型稳定性均比只考虑浓度对反射率贡献的模型有显著改善。